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Repository: jkwakman/Open-Cookie-Database
Branch: master
Commit: 0ee5a17fe1cb
Files: 16
Total size: 3.2 MB
Directory structure:
gitextract__8aonhnd/
├── .github/
│ ├── FUNDING.yml
│ └── workflows/
│ ├── convert-csv-to-edpb-json.yml
│ ├── convert_csv_to_json.py
│ ├── convert_csv_to_json.yml
│ ├── convert_edpb.py
│ ├── main.yml
│ └── validate.py
├── .gitignore
├── FUNDING.md
├── LICENSE
├── README.md
├── docs/
│ ├── CONTRIBUTING.md
│ └── open-cookie-database.html
├── open-cookie-database-edpb.json
├── open-cookie-database.csv
└── open-cookie-database.json
================================================
FILE CONTENTS
================================================
================================================
FILE: .github/FUNDING.yml
================================================
buy_me_a_coffee: jkwakman
================================================
FILE: .github/workflows/convert-csv-to-edpb-json.yml
================================================
name: Convert CSV to EDPB JSON
on:
push:
branches:
- master
paths:
- 'open-cookie-database.csv'
workflow_dispatch:
jobs:
convert:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.10'
- name: Install dependencies
run: pip install pandas
- name: Run CSV to EDPB JSON conversion script
# Zorg ervoor dat het pad naar je Python-script correct is
run: python .github/workflows/convert_edpb.py open-cookie-database.csv open-cookie-database-edpb.json
- name: Commit and push if JSON changed
run: |
git config --global user.name 'github-actions[bot]'
git config --global user.email 'github-actions[bot]@users.noreply.github.com'
git add open-cookie-database-edpb.json
if git diff --staged --quiet; then
echo "No changes to commit in JSON file."
else
git commit -m "Automated conversion: Update open-cookie-database-edpb.json via EDPB script"
git push
echo "Committed and pushed JSON file changes."
fi
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
================================================
FILE: .github/workflows/convert_csv_to_json.py
================================================
import pandas as pd
import json
import argparse
from collections import defaultdict
import sys
def convert_csv_to_grouped_json(csv_filepath, json_filepath):
try:
df = pd.read_csv(csv_filepath, sep=',', skipinitialspace=True, dtype=str)
df = df.fillna('')
except FileNotFoundError:
print(f"::error file={csv_filepath}::CSV file not found.")
sys.exit(1)
except pd.errors.EmptyDataError:
print(f"::warning file={csv_filepath}::CSV file is empty.")
# Maak een lege JSON structuur aan of stop, afhankelijk van gewenst gedrag
with open(json_filepath, 'w', encoding='utf-8') as f:
json.dump({}, f, ensure_ascii=False, indent=4)
print(f"Created empty JSON file: {json_filepath}")
return # Stop verdere uitvoering
except Exception as e:
print(f"::error file={csv_filepath}::Failed to read CSV file. Error: {e}")
sys.exit(1)
if 'Platform' not in df.columns:
print(f"::error file={csv_filepath}::Required column 'Platform' not found in CSV.")
sys.exit(1)
grouped_data = defaultdict(list)
records = df.to_dict('records')
for record in records:
platform = record.get('Platform', 'Unknown Platform')
cookie_details = {
'id': record.get('ID', ''),
'category': record.get('Category', ''),
'cookie': record.get('Cookie / Data Key name', ''),
'domain': record.get('Domain', ''),
'description': record.get('Description', ''),
'retentionPeriod': record.get('Retention period', ''),
'dataController': record.get('Data Controller', ''),
'privacyLink': record.get('User Privacy & GDPR Rights Portals', ''),
'wildcardMatch': record.get('Wildcard match', '')
}
grouped_data[platform].append(cookie_details)
try:
with open(json_filepath, 'w', encoding='utf-8') as f:
json.dump(grouped_data, f, ensure_ascii=False, indent=4)
print(f"Successfully converted '{csv_filepath}' to '{json_filepath}'")
except Exception as e:
print(f"::error file={json_filepath}::Failed to write JSON file. Error: {e}")
sys.exit(1)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Convert CSV to grouped JSON.')
parser.add_argument('csv_input', help='Path to the input CSV file.')
parser.add_argument('json_output', help='Path to the output JSON file.')
args = parser.parse_args()
convert_csv_to_grouped_json(args.csv_input, args.json_output)
================================================
FILE: .github/workflows/convert_csv_to_json.yml
================================================
name: Convert CSV to JSON
on:
push:
branches:
- master
paths:
- 'open-cookie-database.csv'
workflow_dispatch:
jobs:
convert:
runs-on: ubuntu-latest
permissions:
contents: write
steps:
- name: Checkout repository
uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.10'
- name: Install dependencies
run: pip install pandas
- name: Run CSV to JSON conversion script
run: python .github/workflows/convert_csv_to_json.py open-cookie-database.csv open-cookie-database.json
- name: Commit and push if JSON changed
run: |
git config --global user.name 'github-actions[bot]'
git config --global user.email 'github-actions[bot]@users.noreply.github.com'
git add open-cookie-database.json
# Controleer of er daadwerkelijk iets is gewijzigd om lege commits te voorkomen
if git diff --staged --quiet; then
echo "No changes to commit in JSON file."
else
git commit -m "Automated conversion: Update open-cookie-database.json"
git push
echo "Committed and pushed JSON file changes."
fi
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
================================================
FILE: .github/workflows/convert_edpb.py
================================================
import pandas as pd
import json
import argparse
import sys
from datetime import datetime
def convert_csv_to_edpb_json(csv_filepath, json_filepath):
try:
df = pd.read_csv(csv_filepath, sep=',', skipinitialspace=True, dtype=str)
df = df.fillna('')
except FileNotFoundError:
print(f"::error file={csv_filepath}::CSV file not found.")
sys.exit(1)
except pd.errors.EmptyDataError:
print(f"::warning file={csv_filepath}::CSV file is empty.")
with open(json_filepath, 'w', encoding='utf-8') as f:
json.dump([], f, ensure_ascii=False, indent=4)
print(f"Created empty JSON file: {json_filepath}")
return
except Exception as e:
print(f"::error file={csv_filepath}::Failed to read CSV file. Error: {e}")
sys.exit(1)
required_columns = ['ID', 'Platform', 'Category', 'Cookie / Data Key name', 'Domain',
'Description', 'Retention period', 'Data Controller',
'User Privacy & GDPR Rights Portals', 'Wildcard match']
missing_columns = [col for col in required_columns if col not in df.columns]
if missing_columns:
print(f"::error file={csv_filepath}::Missing required columns: {', '.join(missing_columns)}")
sys.exit(1)
output_data = []
current_time = datetime.utcnow().isoformat(timespec='milliseconds') + 'Z'
base_entry = {
"name": "Open Cookie Database",
"author": "Jack Kwakman",
"category": "cookie",
"knowledges": [],
"created_at": current_time
}
for _, record in df.iterrows():
try:
wildcard_match_int = int(record.get('Wildcard match', 0))
except ValueError:
wildcard_match_int = 0
knowledge_entry = {
"updated_at": current_time,
"created_at": current_time,
"kind": "cookie", # Hardcoded zoals in het voorbeeld
"domain": record.get('Domain', ''),
"name": record.get('Cookie / Data Key name', ''),
"category": record.get('Category', '').lower(),
"source": record.get('Platform', ''),
"controller": record.get('Data Controller', ''),
"date": "",
"policy": record.get('User Privacy & GDPR Rights Portals', ''),
"reference": record.get('ID', ''),
"comment": record.get('Description', '')
}
base_entry["knowledges"].append(knowledge_entry)
output_data.append(base_entry)
try:
with open(json_filepath, 'w', encoding='utf-8') as f:
json.dump(output_data, f, ensure_ascii=False, indent=4)
print(f"Successfully converted '{csv_filepath}' to '{json_filepath}'")
except Exception as e:
print(f"::error file={json_filepath}::Failed to write JSON file. Error: {e}")
sys.exit(1)
if __name__ == "__main__":
parser = argparse.ArgumentParser(description='Convert CSV to EU EDPB grouped JSON format.')
parser.add_argument('csv_input', help='Path to the input CSV file.')
parser.add_argument('json_output', help='Path to the output JSON file.')
args = parser.parse_args()
convert_csv_to_edpb_json(args.csv_input, args.json_output)
================================================
FILE: .github/workflows/main.yml
================================================
name: Validate CSV
on: [push]
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Use Node.js 16.x
uses: actions/setup-node@v2
with:
node-version: '16.x'
- uses: actions/checkout@v2
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.x'
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install pandas
- name: Validate CSV
run: |
python .github/workflows/validate.py
================================================
FILE: .github/workflows/validate.py
================================================
import pandas as pd
import uuid
def validate_uuid(uuid_string):
try:
uuid.UUID(uuid_string)
except ValueError:
return False
return True
def validate_csv(file_path):
df = pd.read_csv(file_path, sep=',', skipinitialspace=True)
columns = ['ID', 'Platform', 'Category', 'Cookie / Data Key name', 'Domain', 'Description', 'Retention period', 'Data Controller', 'User Privacy & GDPR Rights Portals', 'Wildcard match']
valid_categories = ['Functional','Personalization','Analytics', 'Marketing', 'Security']
# Check if CSV has valid structure and contains necessary columns
if not set(columns).issubset(df.columns):
print("::error file=open-cookie-database.csv,line=1,col=1::CSV structure is not valid.")
return False
# Check if 'Category' column contains only valid values
if not df['Category'].isin(valid_categories).all():
print("::error file=open-cookie-database.csv,line=1,col=1::'Category' column must contain only these values: " + ', '.join(valid_categories))
invalid_categories = df[~df['Category'].isin(valid_categories)]['Category']
print("Invalid categories are:")
print(invalid_categories)
return False
# Check if 'ID' column contains unique UUID values
if not (df['ID'].apply(validate_uuid).all() and df['ID'].is_unique):
print("::error file=open-cookie-database.csv,line=1,col=1::'ID' column must contain unique UUID values.")
non_unique_ids = df[df.duplicated('ID', keep=False)][['ID', 'Cookie / Data Key name']]
print("Non-unique IDs and corresponding cookie names are:")
print(non_unique_ids)
return False
# Check if 'Cookie / Data Key name' column contains unique values
if not df['Cookie / Data Key name'].is_unique:
non_unique_cookies = df[df.duplicated('Cookie / Data Key name', keep=False)]['Cookie / Data Key name']
non_unique_cookies_str = ', '.join(non_unique_cookies)
print(f"::warning file=open-cookie-database.csv,line=1,col=1::'Cookie / Data Key name' contains non-unique values: {non_unique_cookies_str}. Please check for duplicates.")
print("CSV file is valid.")
return True
validate_csv('open-cookie-database.csv')
================================================
FILE: .gitignore
================================================
.DS_Store
================================================
FILE: FUNDING.md
================================================
# Support the Open Cookie Database
Your online privacy is invaluable. At the Open Cookie Database, we are dedicated to safeguarding the privacy of the free internet by providing transparency about cookies and tracking technologies. We believe that everyone has the right to an internet experience free from constant surveillance.
By donating, you support our mission to maintain a comprehensive and up-to-date database that helps users make informed choices about their online privacy. Every contribution, big or small, helps us in the fight for a safer and more privacy-friendly internet.
**Together, we fight for your privacy!**
## Donate via PayPal
Click the button below to make a secure donation via PayPal. Your support makes a world of difference.
<p align="center">
<a href="https://www.paypal.com/cgi-bin/webscr?cmd=_donations&business=zwartejack@gmail.com&item_name=Support+Open+Cookie+Database&no_note=1&no_shipping=1&cn=Add+a+message&tax=0&lc=US&bn=PP-DonationsBF&charset=UTF-8" target="_blank">
<img src="https://www.paypalobjects.com/en_US/i/btn/btn_donateCC_LG.gif" alt="Donate with PayPal">
</a>
</p>
Thank you for your support!
================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
# Open-Cookie-Database
The [Open Cookie Database](open-cookie-database.csv) is an effort to describe and categorise all major cookies. All cookie descriptions are saved in a [downloadable CSV file](open-cookie-database.csv), [Google Spreadsheet](https://docs.google.com/spreadsheets/d/101f_Brw6SSVTn6hOndQzkH8S1Vj8VzRqab4Q5OnsmmA/edit?usp=sharing), [JSON](open-cookie-database.json) or [browseable and searchable in an html file](https://jkwakman.github.io/Open-Cookie-Database/open-cookie-database.html). All contributions to the CSV file are [welcomed](docs/CONTRIBUTING.md). For the [EU EDPB Website Auditing Tool](https://code.europa.eu/edpb/website-auditing-tool/) we have a [specific EDPB json file](open-cookie-database-edpb.json) for easy importing the cookies to the platform.
# How to contribute
All contributions are gratefully received. To contribute to the Open Cookie Database, please follow the following [contribution guide](docs/CONTRIBUTING.md).
# Category Descriptions
The definitions of the categories are as follows:
- Functional (also known as technical, essential or strictly necessary)
- Personalization (also known as preferences)
- Analytics (also known as performance or statistics)
- Marketing (also known as tracking or social media)
- Security
# Wildcard match
The last column in the database is called "Wildcard match". A `0` in this column means that the cookie name is not a wildcard, and a 1 means that the cookie name is a wildcard.
Where a cookie name is *not* a wildcard, it means that the cookie name is a fixed string. For example, the cookie name `_ga` will always be `_ga` when set by Google Analytics.
However, if a cookie name is a wildcard, it means the exact cookie name may change from one website to another. Thankfully, the cookie name will always match a certain pattern. For example, the cookie `_gac_1234` is a wildcard cookie name, because the `1234` part of the cookie name can be any string.
================================================
FILE: docs/CONTRIBUTING.md
================================================
## Introduction
This document guides contributors in updating the Open Cookie Database, an open-source project dedicated to identifying web cookies. Contributors can add new cookies, enhance existing information, and ensure accurate cookie categorization and descriptions.
Identifying web cookies is crucial for various research and open-source projects that rely on the Open Cookie Database. The database provides the following information:
- **ID**: unique ID to identify the cookie
- **Platform**: Platform/Service responsible for setting the cookie
- **Category**: Classification for the cookie's usage: Functional, Analytics, Marketing
- **Cookie Name**: Name from the respective cookie
- **Domain**: The domain in which the cookie is set; it can have a specific value or be empty when the cookie is set as the first party.
- **Description**: An introduction to the utility of the cookie
- **Retention period**: The time when the cookie storage expires
- **Data Controller**: The company responsible for controlling the data
- **User Privacy & GDPR**: URL from the Privacy policy page or GDPR compliance
- **Wildcard**: A 0 in this column means that the cookie name is not a wildcard, and a 1 means that the cookie name is a wildcard
## Research
The initial step is identifying cookies not listed in the database. Contributors can follow these steps to gather information about a cookie:
1. **Identify the cookie name and domain:** Begin by identifying the cookie's name and associated domain.
2. **Search for information:** Utilize a search engine to find relevant information about the cookie.
3. **Search within the domain:** Refine your search by using queries like `site:example.com "cookie-name"`.
a. In this case, the search will only list pages from the passed domain, that contain references for the exact cookie name.
4. **Broaden the search:** If no information is found, try searching using the cookie name within double quotes and specifying the domain, such as `"cookie-name" from example.com`. This will yield stricter results containing the cookie name, potentially across different domains.
If you find pages outside the company responsible for the cookie, double-check on more than one source to see if the description matches on more than one page. Review the information and finally double-check if the cookie wasn’t registered previously.
### Categorization
Finding information about cookies is free for the person executing the audit. You will need to find the company responsible for the cookie, a category where this cookie fits, a description, and the retention period. The accepted categories are:
1. Analytics
2. Functional
3. Marketing
4. Security
5. Personalization
This information can be collected from more than one webpage. Pages like the **Privacy Policy**, **Cookies Policy**, and developer documentation are the main sources of that information. We recommend looking first at the company's website responsible for cookies (Data Controller) and after partners who used the service or [Cookiepedia](https://cookiepedia.co.uk/).
### Organizing Cookies
Those steps are not a requirement but can help to organize the database.
When you add cookies from a platform already registered in the database, try to group them in the same group.
Cookies from the same platform can also be organized by product.
## Contributing to the repository
To contribute to the project, you will need a [GitHub account](https://docs.github.com/en/get-started/start-your-journey/creating-an-account-on-github) for version control and a text editor like [VS Code](https://code.visualstudio.com/) or a similar editor for the CSV file.
To improve the readability of the CSV file, some code editors, such as Visual Code, have extensions to provide a better visualization from the CSV file:
- [Edit CSV](https://marketplace.visualstudio.com/items?itemName=janisdd.vscode-edit-csv)
- [CSV rainbow](https://marketplace.visualstudio.com/items?itemName=mechatroner.rainbow-csv)
- [CSV to table](https://marketplace.visualstudio.com/items?itemName=phplasma.csv-to-table)
You can fork the GitHub project to start editing and creating your branches. Once you've filled in the information about the cookie, you'll be required to make a pull request to be evaluated by the repository owner. In the following section, we will explain step-by-step how you can set up the project.
## Setup repository on your local
Once you have your GitHub account, you must fork the Open Cookie Database repository. This step will create a repository with the same code and visibility in your account.
To fork, click on the fork button in the top-right corner of the upstream repository.
<img src="https://lh3.googleusercontent.com/d/14cHx7Xf1085Stv4w6E_kCt3NrX3HzRKI" alt="Open cookie database repository" width="820">
Once your fork is ready, you must clone that repository to your computer. You can do this using the git command, or if you are not tech-savvy, you can use the [GitHub application](https://desktop.github.com/), which provides a GUI for ease of use.
We will discuss how you can use the command line in the following process:
Open the terminal on Mac or PowerShell on Windows.
1. Enter the below command to clone the repository:
2. `$ git clone git@github.com:yourgithubname/Open-Cookie-Database.git`
<img src="https://lh3.googleusercontent.com/d/1XdAZK_AU4op6slC_rwl4MfsMMx1J6glw" alt="Clone repository on Github" width="820">
1. Create a new branch from the master branch `$ git checkout -b cookie-vendor-name`
2. And now, you are ready to collaborate with the Open Cookie database
3. Open the file open-cookie-database.csv and start to contribute.
## Editing
Once you are ready, remember to create a branch, for example, `cookie-[vendor-name]` to submit your changes and start editing the file. The first information is a UUID to register the new cookie. A unique ID creates this information. You can find it online at websites like [uuid generator](https://www.uuidgenerator.net/) or use the node package UUID: `$ npx uuid`.
Add the related information to the cookie, and two fields could have special attention. The cookie name could have a dynamic ID, for example, `cookie_[site-id]`. If this applies to your case, the last property on the cookie is a wildcard. For wildcard cookies, set the value to 1 instead; the dynamic property doesn’t need to be specified. For example, we set the previous cookie as `cookie_`.
<img src="https://lh3.googleusercontent.com/d/1IJa3U2P4a54mQOJOt-ewVm9J0U0nN-V2" alt="Open Cookie database on VS Code" width="820">
In another scenario, some solutions set the cookies as first-party; for this scenario, it can be empty.
## Creating a pull request
After adding the new information, make sure to save the changes and start the process of submitting the changes:
1. Stage the changes from the open-cookie-database.csv by running:
`$ git add open-cookie-database.csv`
2. After staging the changes, commit it by running:
`$ git commit -am “The {X} number of cookies are added for {vendor}.” `
3. Once changes are committed, push the branch by running:
`$ git push origin cookie-vendor-name`
Once the changes are pushed to a remote branch on GitHub, you are ready to create a pull request. Go to your GitHub account and create a New pull request as in the image below:
<img src="https://lh3.googleusercontent.com/d/1ltTuyWELEb-39PYPkyTRdOG4uCfpCpxl" alt="creating a pull request to the open cookie database" width="820">
Set In the description of your pull request to the repository, you can use the following templates:
```
** Description **
This pull request contains [x] cookies from [company name]
[company introduction if it was never listed on the cookie database]
** Source **
[list the links that you used to register the data]
```
Add the details to the description and click on the create pull request button. Your pull request will be created.
<img src="https://lh3.googleusercontent.com/d/1WTl1EHEqEO1OgGLHhAHFEXb7YOGGCyBE" alt="Comparing changes on the pull request to the open cookie database" width="820">
Once your pull request is created, the author of the upstream repo will review it. Once they are reviewed, he will approve and merge them.
## Updating your local repo
When the pull request is merged or if there are any new changes in the upstream repo, you will need to update your repo on GitHub and your clone on the computer.
First, visit your forked repo and click on the **“Sync Fork”** button to keep your GitHub repo updated upstream.
Secondly, open your clone in a terminal and run the `git checkout master` and `git pull origin master` commands. Your local repo will be updated with the latest changes.
================================================
FILE: docs/open-cookie-database.html
================================================
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>Open Cookie Database</title>
<link rel="stylesheet" href="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/css/bootstrap.min.css">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.8.1/css/fontawesome.min.css">
<link rel="stylesheet" href="https://cdn.datatables.net/2.0.8/css/dataTables.dataTables.css" />
<link rel="stylesheet" href="https://cdn.datatables.net/buttons/3.0.2/css/buttons.dataTables.css" />
<!-- HTML5 Shim and Respond.js IE8 support of HTML5 elements and media queries -->
<!-- Leave those next 4 lines if you care about users using IE8 -->
<!--[if lt IE 9]>
<script src="https://oss.maxcdn.com/html5shiv/3.7.2/html5shiv.min.js"></script>
<script src="https://oss.maxcdn.com/respond/1.4.2/respond.min.js"></script>
<![endif]-->
<style type="text/css">
.table-condensed{
font-size: 0.8em;
}
</style>
</head>
<body>
<div class="container-fluid">
<div class="row">
<div class="col-sm-12 pt-5">
<h1 class="font-weight-bold">Open Cookie Database</h1>
<p>The <a href="https://github.com/jkwakman/Open-Cookie-Database">Open Cookie Database</a> is an effort to describe and categorise all major cookies. All cookie descriptions are saved in a <a href="open-cookie-database.csv">downloadable CSV file</a>, <a href="https://docs.google.com/spreadsheets/d/101f_Brw6SSVTn6hOndQzkH8S1Vj8VzRqab4Q5OnsmmA/edit?usp=sharing">Google Spreadsheet</a> or <a href="open-cookie-database.html">browseable and searchable in an html file</a>. All contributions to the CSV file <a href="https://github.com/jkwakman/Open-Cookie-Database/blob/master/docs/CONTRIBUTING.md">are welcomed</a>.</p>
<hr />
<h2 class="font-weight-bold">How to contribute</h2>
<hr />
<p>All contributions are gratefully received. To contribute to the <a href="https://github.com/jkwakman/Open-Cookie-Database">Open Cookie Database</a>, please follow the following <a href="https://github.com/jkwakman/Open-Cookie-Database/blob/master/docs/CONTRIBUTING.md">contribution guide</a>.</p>
<hr />
</div>
</div>
</div>
<div class="container-fluid">
<div class="row">
<div class="col-sm-12">
<table id="open-cookie-database" class="table table-striped table-hover table-condensed table-responsive">
</table>
<p class="pt-5">Table has been made possible by the excellent work of <a href="https://www.papaparse.com/" target="_blank">PapaParse</a> and <a href="https://datatables.net">dataTables.net</a>.</p>
</div>
</div>
</div>
<!-- Including Bootstrap JS (with its jQuery dependency) so that dynamic components work -->
<script src="https://code.jquery.com/jquery-1.12.4.min.js" integrity="sha256-ZosEbRLbNQzLpnKIkEdrPv7lOy9C27hHQ+Xp8a4MxAQ=" crossorigin="anonymous"></script>
<script src="https://stackpath.bootstrapcdn.com/bootstrap/4.3.1/js/bootstrap.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/PapaParse/5.4.1/papaparse.min.js"></script>
<script src="//http://cdn.datatables.net/plug-ins/2.0.8/features/scrollToTop/dataTables.scrollToTop.min.js"></script>
<script src="https://cdn.datatables.net/2.0.8/js/dataTables.js"></script>
<script src="https://cdn.datatables.net/buttons/3.0.2/js/dataTables.buttons.js"></script>
<script src="https://cdn.datatables.net/buttons/3.0.2/js/buttons.html5.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/pdfmake/0.2.7/pdfmake.min.js"></script>
<script>
function format(d) {
return (
'<dl>' +
'<dt>ID:</dt>' +
'<dd>' +
d[0] +
'</dd>' +
'<dl>' +
'<dt>Retention period:</dt>' +
'<dd>' +
d[6] +
'</dd>' +
'<dt>Data Controller:</dt>' +
'<dd>' +
d[7] +
'</dd>' +
'<dt>User Privacy & GDPR Rights Portals:</dt>' +
'<dd><a href="' + d[8] + '">' + d[8] + '</a></dd>' +
'<dt>Wildcard match:</dt>' +
'<dd>' + d[9] + '</dd>' +
'</dl>'
);
}
$(function() {
Papa.parse("https://raw.githubusercontent.com/jkwakman/Open-Cookie-Database/master/open-cookie-database.csv", {
download: true,
skipEmptyLines: true,
complete: function(example) {
$(document).ready(function () {
var table = $('#open-cookie-database').DataTable({
data: example.data,
layout: {
topStart: {
buttons: ['copyHtml5', 'excelHtml5', 'csvHtml5', 'pdfHtml5']
}
},
pageLength: 100,
scrollToTop: true,
"lengthChange": false,
dataSrc:"",
order: [[3, 'asc']],
columns: [
{
className: 'dt-control',
orderable: false,
data: null,
defaultContent: ''
},
{title: "Platform"},
{title: "Category"},
{title: "Cookie / Data Key Name"},
{title: "Domain"},
{title: "Description"}
]
});
table.on('click', 'td.dt-control', function (e) {
let tr = e.target.closest('tr');
let row = table.row(tr);
if (row.child.isShown()) {
// This row is already open - close it
row.child.hide();
}
else {
// Open this row
row.child(format(row.data())).show();
}
});
table.on('page', function() {
setTimeout(function() {
$(document).scrollTop(
$(table.table().container()).offset().top
);
}, 10);
});
});
}
});
});
</script>
</body>
</html>
================================================
FILE: open-cookie-database-edpb.json
================================================
[
{
"name": "Open Cookie Database",
"author": "Jack Kwakman",
"category": "cookie",
"knowledges": [
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "cookiePreferences",
"category": "functional",
"source": "Google Tag Manager",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c0fe2-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Registers cookie preferences of a user"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "www.googletagmanager.com",
"name": "td",
"category": "analytics",
"source": "Google Tag Manager",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "317ce4c0-91e3-4ee4-9ccc-75c15a0c2305",
"comment": "Registers statistical data on users' behaviour on the website. Used for internal analytics by the website operator."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "CookieConsent",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "6ca095be-4711-47f0-9e83-eecc86ff12c9",
"comment": "Stores the user's cookie consent state for the current domain"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "cookiebot.com (3rd party)",
"name": "CookieConsentBulkTicket",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "256c1410-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Enables sharing cookie preferences across domains / websites"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "cookiebot.com (3rd party)",
"name": "userlang",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "256c1550-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Saves language preferences of user for a website"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "consentUUID",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "a03ec23f-e06d-4f6c-b089-5e89039594b2",
"comment": "This cookie is used as a unique identification for the users who has accepted the cookie consent box."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "CrossConsent",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "f21e0af3-6f2c-4570-9385-a16bc250a5c0",
"comment": "Stores the user's cookie consent state for the current domain"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "1.gif",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "0ae97a8e-ebff-440b-8114-9480f6b59d4c",
"comment": "Used to count the number of sessions to the website, necessary for optimizing CMP product delivery."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "cb-currency",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "b8aa928c-fa80-451f-9a23-f45e22309946",
"comment": "Stores the user's currency preference"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "CookieConsentBulkSetting-",
"category": "functional",
"source": "Cookiebot",
"controller": "Cookiebot",
"date": "",
"policy": "https://www.cookiebot.com/en/cookie-declaration/",
"reference": "35a27898-d3e3-428f-948c-3db70359ba5d",
"comment": "Enables cookie consent across multiple websites"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "cookieconsent_variant",
"category": "functional",
"source": "Maxlead",
"controller": "Maxlead",
"date": "",
"policy": "https://maxlead.com/privacy-statement/",
"reference": "24daac45-6c94-4c77-a972-66a9e5248413",
"comment": "Stores the variant of shown cookie banner"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "cookieconsent_system",
"category": "functional",
"source": "Maxlead",
"controller": "Maxlead",
"date": "",
"policy": "https://maxlead.com/privacy-statement/",
"reference": "87a6c581-24b5-4d1b-bf99-c0e493364625",
"comment": "Cookie consent system cookie for saving user's cookie opt-in/out choices."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "cookieconsent_level",
"category": "functional",
"source": "Maxlead",
"controller": "Maxlead",
"date": "",
"policy": "https://maxlead.com/privacy-statement/",
"reference": "b735da18-68f1-4dd4-95d4-ee1e29f1d37f",
"comment": "Cookie consent system cookie for storing the level of cookie consent."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "cookieconsent_seen",
"category": "functional",
"source": "Maxlead",
"controller": "Maxlead",
"date": "",
"policy": "https://maxlead.com/privacy-statement/",
"reference": "551c9acd-8d52-4808-bf2c-88acc840c091",
"comment": "Used to support the GDPR / AVG compliant cookie consent system"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "FPGSID",
"category": "functional",
"source": "Google",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "c7a1b3d5-8e6f-4c2a-9b8d-7f4e1a0b9c3d",
"comment": "This cookie is an essential session and security cookie from Google. Its main purpose is to manage the session of a logged-in user, ensuring they remain logged in while navigating between Google services (like Gmail, Drive, YouTube) and to protect the account against unauthorized requests."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_ga",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c18e8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "ID used to identify users"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_gali",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "0ccecd8f-5d07-4412-a875-f077462d9e21",
"comment": "Used by Google Analytics to determine which links on a page are being clicked"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_ga_",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "d7496a0e-7f4b-4e20-b288-9d5e4852fa79",
"comment": "ID used to identify users"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_gid",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c1ae6-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "ID used to identify users for 24 hours after last activity"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_gat",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c1c3a-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to monitor number of Google Analytics server requests when using Google Tag Manager"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_dc_gtm_",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c1d7a-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to monitor number of Google Analytics server requests"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "AMP_TOKEN",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c1eba-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Contains a token code that is used to read out a Client ID from the AMP Client ID Service. By matching this ID with that of Google Analytics, users can be matched when switching between AMP content and non-AMP content. Reference: https://support.google.com/analytics/answer/7486764?hl=en"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_gat_gtag_",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "2caa7a78-e93f-49ca-8fe6-1aaafae1efaa",
"comment": "Used to set and get tracking data"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "_gac_",
"category": "marketing",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c2090-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Contains information related to marketing campaigns of the user. These are shared with Google AdWords / Google Ads when the Google Ads and Google Analytics accounts are linked together."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "__utma",
"category": "analytics",
"source": "Google Analytics",
"controller": "Google",
"date": "",
"policy": "https://business.safety.google/privacy/",
"reference": "256c26f8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "ID used to identify users and sessions"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "__utmt",
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"comment": "These cookies are used by Google to store user preferences and information while viewing Google mapped pages."
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"comment": "These cookies are set via embedded youtube-videos. They register anonymous statistical data on for example how many times the video is displayed and what settings are used for playback."
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{
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"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "256c3dc8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Unique value with which Audience Manager can identify a user. Used, among others, for identification, segmentation, modeling and reporting purposes."
},
{
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"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "dextp",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "256c3efe-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Registers the date plus time (timestamp) on which a data synchronization was last performed by the Audience Manager."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "dst",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "256c4034-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to register a possible error message when sending data to a linked system."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "or demdex.net (3rd party)",
"name": "_dp",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
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"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "256c43e0-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to determine if browser of user accepts cookies or not"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "aam_uuid",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "6ca755d4-8ecc-4031-a28e-b6d42235fb38",
"comment": "Adobe Audience Manager - data management platform uses these cookies to assign a unique ID when users visit a website."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "AMCV_",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "a4b664ae-feb8-4ce4-9f21-27ac382d4702",
"comment": "Adobe Experience Cloud uses a cookie to store a unique visitor ID that is used across Experience Cloud Solutions."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "AMCVS_",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "fc79d591-2969-4609-85d9-3750faa5d5fb",
"comment": "The AMCVS cookie serves as a flag indicating that the session has been initialized. Its value is always 1 and discontinues when the session has ended."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "mbox",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "795dc59a-1c7c-4bde-9ea8-53268889840b",
"comment": "Adobe Target uses cookies to give website operators the ability to test which online content and offers are more relevant to visitors."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "at_check",
"category": "functional",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "0b7e888e-67e1-416d-bea1-d574fd2bdc91",
"comment": "A simple test value used to determine if a visitor supports cookies. Set each time a visitor requests a page."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "renderid",
"category": "functional",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "2932ef1f-14ec-4003-91d6-959f68914913",
"comment": "This cookie is needed by the dispatcher (webserver) to distinguish between the different publisher server."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "dpm",
"category": "marketing",
"source": "Adobe Audience Manager",
"controller": "Adobe",
"date": "",
"policy": "https://www.adobe.com/nl/privacy.html",
"reference": "d3310445-3289-4ae1-8086-4ca24f95c18a",
"comment": "DPM is an abbreviation for Data Provider Match. It tells internal, Adobe systems that a call from Audience Manager or the Adobe Experience Cloud ID Service is passing in customer data for synchronization or requesting an ID."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "TPC",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c453e-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to determine if browser of user accepts third party cookies or not"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "C",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c4714-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to determine if browser of user accepts cookies or not"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "uid",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c489a-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Contains a unique ID to identify a user"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "cid",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c49e4-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Unique value to be able to identify cookies from users (same as uid)"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "GCM",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c4b1a-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Checks if a new partner cookie synchronization is required"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "CM",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c4cd2-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Checks if a new partner cookie synchronization is required (cookie set by ad server)"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "CM14",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5038-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Checks if a new partner cookie synchronization is required (cookie set during cookie synchronization )"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "token",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5196-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Security token for opt out functionality"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "otsid",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c52cc-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Opt out cookie for specific advertiser"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "adtrc",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c540c-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to determine if browser related information has been collected"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "SR",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5542-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Unique value that records info about consecutive ads - includes: total impressions, daily impressions, total clicks, daily clicks, and last impression date"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "CT",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5678-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Identifies the last click membership for third-party pixels on advertiser's pages"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "EBFCD",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5b3c-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Registers daily max. number of impressions (frequency cap) for expanding advertisements (expandables)"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "EBFC",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5cb8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Registers max. total number of impressions (frequency cap) for expanding advertisements (expandables)"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "CFFC",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5df8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Registers max. number of impressions (frequency cap) for compound banners"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "adform.net (3rd party)",
"name": "DigiTrust.v1.identity",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "256c5f2e-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Unique value with which the user is identified by DigiTrust, an independent industrial body"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "",
"name": "adformfrpid",
"category": "marketing",
"source": "Adform",
"controller": "Adform",
"date": "",
"policy": "https://site.adform.com/privacy-center/overview",
"reference": "5c4d75ef-55cf-4483-9a9d-a33ce8e950b5",
"comment": "Collects data on the user across websites - This data is used to make advertisement more relevant."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "lu",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c606e-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to record whether the person chose to remain logged in Contents: User ID and miscellaneous log in information (e.g., number of logins per account, state of the \"remember me\" check box, etc.)"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "xs",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c61a4-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used in conjunction with the c_user cookie to authenticate your identity to Facebook. Contents: Session ID, creation time, authentication value, secure session state, caching group ID"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "c_user",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c62da-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used in conjunction with the xs cookie to authenticate your identity to Facebook. Contents: User ID"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "m_user",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c6668-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to authenticate your identity on Facebook's mobile website. Contents: Email, User ID, authentication value, version, user agent capability, creation time, Facebook version indicator"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "pl",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c67a8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to record that a device or browser logged in via Facebook platform. Contents: Y/N"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "dbln",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c68fc-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to enable device-based logins Contents: Login authentication values"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "aks",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c6a32-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Determines the login state of a person visiting accountkit.com Contents: Account kit access token"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "aksb",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c6b68-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Authenticates logins using Account Kit Contents: Request time value"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "sfau",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c6d8e-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Optimizes recovery flow after failed login attempts Contents: Encrypted user ID, contact point, time stamp, and other login information"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "ick",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c7176-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Stores an encryption key used to encrypt cookies"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "csm",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c72f2-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Insecure indicator"
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "s",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c74c8-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Facebook browser identification, authentication, marketing, and other Facebook-specific function cookies."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "datr",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c7612-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Used to prevent creation of fake / spammy accounts. Datr cookie is associated with a browser, not individual people."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "sb",
"category": "marketing",
"source": "Facebook",
"controller": "Facebook",
"date": "",
"policy": "https://www.facebook.com/about/privacy/",
"reference": "256c7752-d881-11e9-8a34-2a2ae2dbcce4",
"comment": "Facebook browser identification, authentication, marketing, and other Facebook-specific function cookies."
},
{
"updated_at": "2026-01-12T15:51:28.044Z",
"created_at": "2026-01-12T15:51:28.044Z",
"kind": "cookie",
"domain": "facebook.com (3rd party)",
"name": "fr",
"category": "marketing",
"source": "Facebook",
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gitextract__8aonhnd/ ├── .github/ │ ├── FUNDING.yml │ └── workflows/ │ ├── convert-csv-to-edpb-json.yml │ ├── convert_csv_to_json.py │ ├── convert_csv_to_json.yml │ ├── convert_edpb.py │ ├── main.yml │ └── validate.py ├── .gitignore ├── FUNDING.md ├── LICENSE ├── README.md ├── docs/ │ ├── CONTRIBUTING.md │ └── open-cookie-database.html ├── open-cookie-database-edpb.json ├── open-cookie-database.csv └── open-cookie-database.json
SYMBOL INDEX (4 symbols across 3 files) FILE: .github/workflows/convert_csv_to_json.py function convert_csv_to_grouped_json (line 7) | def convert_csv_to_grouped_json(csv_filepath, json_filepath): FILE: .github/workflows/convert_edpb.py function convert_csv_to_edpb_json (line 7) | def convert_csv_to_edpb_json(csv_filepath, json_filepath): FILE: .github/workflows/validate.py function validate_uuid (line 4) | def validate_uuid(uuid_string): function validate_csv (line 11) | def validate_csv(file_path):
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"preview": "ID,Platform,Category,Cookie / Data Key name,Domain,Description,Retention period,Data Controller,User Privacy & GDPR Righ"
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"path": "open-cookie-database.json",
"chars": 1175876,
"preview": "{\n \"Google Tag Manager\": [\n {\n \"id\": \"256c0fe2-d881-11e9-8a34-2a2ae2dbcce4\",\n \"category\""
}
]
About this extraction
This page contains the full source code of the jkwakman/Open-Cookie-Database GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 16 files (3.2 MB), approximately 831.4k tokens, and a symbol index with 4 extracted functions, classes, methods, constants, and types. Use this with OpenClaw, Claude, ChatGPT, Cursor, Windsurf, or any other AI tool that accepts text input. You can copy the full output to your clipboard or download it as a .txt file.
Extracted by GitExtract — free GitHub repo to text converter for AI. Built by Nikandr Surkov.