Repository: Kr0wZ/SnapIntel
Branch: master
Commit: c45442d2b293
Files: 11
Total size: 75.8 KB
Directory structure:
gitextract_rjt71ivf/
├── .gitignore
├── LICENSE
├── README.md
├── config.json
├── display.py
├── heatmap.py
├── main.py
├── requirements.txt
├── setup.py
├── snap_parser.py
└── ssd.py
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FILE CONTENTS
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FILE: .gitignore
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# Python cache files
__pycache__/
*.py[cod]
# Virtual environments
env/
venv/
# Build artifacts
build/
*.egg-info/
================================================
FILE: LICENSE
================================================
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================================================
FILE: README.md
================================================
# SnapIntel
### What is it?
SnapIntel is a python tool providing you information about Snapchat users. You can list stories, curated highlights, spotlights, lenses and even download all of them!
The heatmap functionality allows you to generate a heatmap related to upload dates for specific categories.
### Updates
`05/08/2025`:
- You can now install **SnapIntel** to use it across your system with: `pip install .` once inside the main directory.
`09/10/2024`:
- Multi-threading has been implemented in the code for faster download (stories and bitmojis, see below)!
- A new option `-T/--threads` can now be used to specify the numbers of concurrent threads you wan to run (10 by default if not specified).
- Bitmojis for private users can now be downloaded and stored locally. We can also list them (it only shows the number of different bitmojis).
A big thanks to [@hatless1der](https://twitter.com/hatless1der) for its article about bitmojis: https://hatless1der.com/a-snapchat-osint-tip-viewing-bitmoji-changes/
`17/12/2023`:
The old tool (and its first version) was named **Snapchat_stories_dl** and was only built to download stories. But it has been replaced by this new 2.0 version with a lot more functionalities.
### Install
Clone this repository and jump in it:
```bash
git clone https://github.com/Kr0wZ/SnapIntel/
cd SnapIntel
```
You must have `python3` installed on your machine.
You can run this command to install `SnapIntel` and then use it from anywhere on your system:
```bash
pip install .
# Now you can use "snapintel" as a command
```
Or run the following command to install the dependencies:
```bash
python3 -m pip install -r requirements.txt
```
⚠️ Known issue ⚠️ <br>
If you have difficulties installing `numpy` try to downgrade your python3 version to `python3.8`
### Usage
Simply run the tool using python3 with `-h/--help` to show the help menu:
```bash
snapintel -h
#OR
python3 main.py -h
```
```
usage: main.py [-h] [-u USERNAME] [-s] [-l [OPTIONS]] [-m] [-d [OPTIONS]] [-o DIRECTORY] [-t TIMEOUT] [-T THREADS]
SnapIntel OSINT Tool - Made by KrowZ
options:
-h, --help show this help message and exit
-u USERNAME, --username USERNAME
Username of account we want to download stories from
-s, --stats Only prints summary and statistics about the account
-l [OPTIONS], --list [OPTIONS]
List the desired information. By default, lists only user information. 'a' = all, 's' = stories, 'u' = user, 'c' = curated highlights, 'p' = spotlights, 'l' = lenses, 'b' = bitmojis. Multiple options can be combined together: E.g: -l 'csl'
-m, --heatmap Generates a heatmap related to upload dates. Must be used with '-l/--list' option
-d [OPTIONS], --download [OPTIONS]
Downloads specific videos posted by a user. By default, only downloads current stories. 'a' = all, 's' = stories, 'c' = curated highlights, 'p' = spotlights, 'l' = lenses, 'b' = bitmojis. Multiple options can be combined together: E.g: -d 'csl'
-o DIRECTORY, --output DIRECTORY
Path where stories are stored. Default : current directory
-t TIMEOUT, --timeout TIMEOUT
Requests timeout. Default : 30 seconds
-T THREADS, --threads THREADS
Number of concurrent threads. Default : 10
EXAMPLES:
Show stats for a specific user:
python3 main.py -u <SNAP_USER> -s
List all elements (account, stories, curated highlights, spotlights, lenses) for a specific user:
python3 main.py -u <SNAP_USER> -l a
List stories, spotlights and generate a heatmap related to this data based on upload date:
python3 main.py -u <SNAP_USER> -l sp -m
List stories, download everything (stories, curated highlights, spotlights, lenses) and store them to directory 'data':
python3 main.py -u <SNAP_USER> -l s -d a -o ./data
```
### Todo
- Implement `watch` functionality (monitoring) to check a user every X minutes for new stories and download them if not already done.
- Fix bugs?
### Support
Do you want to support me?
You can buy me a coffee here:
<a href="https://www.buymeacoffee.com/krowz" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" height="50" ></a>
Thanks in advance to anyone donating ❤️
================================================
FILE: config.json
================================================
{
"json_data_paths": {
"pageType": "props.pageProps.pageMetadata.pageType",
"pageTitle": "props.pageProps.pageMetadata.pageTitle",
"pageDescription": "props.pageProps.pageMetadata.pageDescription.value",
"username": "props.pageProps.userProfile.publicProfileInfo.username",
"profilePictureUrl": "props.pageProps.userProfile.publicProfileInfo.profilePictureUrl",
"badge": "props.pageProps.userProfile.publicProfileInfo.badge",
"squareHeroImageUrl": "props.pageProps.userProfile.publicProfileInfo.squareHeroImageUrl",
"subscriberCount": "props.pageProps.userProfile.publicProfileInfo.subscriberCount",
"profilePictureUrl": "props.pageProps.userProfile.publicProfileInfo.profilePictureUrl",
"bio": "props.pageProps.userProfile.publicProfileInfo.bio",
"websiteUrl": "props.pageProps.userProfile.publicProfileInfo.websiteUrl",
"snapcodeImageUrl": "props.pageProps.userProfile.publicProfileInfo.snapcodeImageUrl",
"private_username": "props.pageProps.userProfile.userInfo.username",
"displayName": "props.pageProps.userProfile.userInfo.displayName",
"avatarImageUrl": "props.pageProps.userProfile.userInfo.bitmoji3d.avatarImage.url",
"backgroundImageUrl": "props.pageProps.userProfile.userInfo.bitmoji3d.backgroundImage.url",
"private_snapcodeImageUrl": "props.pageProps.userProfile.userInfo.snapcodeImageUrl",
"hasCuratedHighlights": "props.pageProps.userProfile.publicProfileInfo.hasCuratedHighlights",
"hasSpotlightHighlights": "props.pageProps.userProfile.publicProfileInfo.hasSpotlightHighlights",
"story": "props.pageProps.story.snapList",
"curatedHighlights": "props.pageProps.curatedHighlights",
"spotlightHighlights": "props.pageProps.spotlightHighlights",
"spotlightName": "props.pageProps.spotlightStoryMetadata.{count}.videoMetadata.name",
"spotlightDuration": "props.pageProps.spotlightStoryMetadata.{count}.videoMetadata.durationMs",
"spotlightUploadDate": "props.pageProps.spotlightStoryMetadata.{count}.videoMetadata.uploadDateMs",
"spotlightEngagementStats": "props.pageProps.spotlightStoryMetadata.{count}.engagementStats.viewCount",
"spotlightHashtags": "props.pageProps.spotlightStoryMetadata.{count}.hashtags",
"lenses": "props.pageProps.lenses"
}
}
================================================
FILE: display.py
================================================
from colorama import Fore, Style
class Display:
def __init__(self, parser, ssd):
self.parser = parser
self.ssd = ssd
def print_basic_information(self, data):
if(self.parser.list_user or self.parser.list_all or self.parser.stats):
print(rf"""{Fore.YELLOW}
_
/\ | |
/ \ ___ ___ ___ _ _ _ __ | |_
/ /\ \ / __/ __/ _ \| | | | '_ \| __|
/ ____ \ (_| (_| (_) | |_| | | | | |_
/_/ \_\___\___\___/ \__,_|_| |_|\__|
{Style.RESET_ALL}""")
print(f"{Fore.GREEN}[+] Page title:{Style.RESET_ALL} {data[0]}")
print(f"{Fore.GREEN}[+] Page description:{Style.RESET_ALL} {data[1]}")
#If false then account is public
if(not data[2]):
print(f"{Fore.GREEN}[+] This is a public profile{Style.RESET_ALL}")
print(f"{Fore.GREEN}[+] Username:{Style.RESET_ALL} {data[3]}")
if(data[4] == 1):
print(f"{Fore.GREEN}[+] Badge:{Style.RESET_ALL} Creator")
elif(data[4] == 3):
print(f"{Fore.GREEN}[+] Badge:{Style.RESET_ALL} Public Figure")
else:
print(f"{Fore.GREEN}[+] Badge:{Style.RESET_ALL} {Fore.RED}None{Style.RESET_ALL}")
print(f"{Fore.GREEN}[+] Profile picture:{Style.RESET_ALL} {data[5]}")
print(f"{Fore.GREEN}[+] Background picture:{Style.RESET_ALL} {data[6]}")
print(f"{Fore.GREEN}[+] Subscriber count:{Style.RESET_ALL} {data[7]}")
print(f"{Fore.GREEN}[+] Bio:{Style.RESET_ALL} {data[8]}")
if(len(data[9]) != 0):
print(f"{Fore.GREEN}[+] Website:{Style.RESET_ALL} {data[9]}")
else:
print(f"{Fore.GREEN}[+] Website:{Style.RESET_ALL} None")
print(f"{Fore.GREEN}[+] Snap code:{Style.RESET_ALL} {data[10]}")
else:
print(f"{Fore.RED}[-] This is a private profile{Style.RESET_ALL}")
print(f"{Fore.GREEN}[+] Username:{Style.RESET_ALL} {data[3]}")
print(f"{Fore.GREEN}[+] Display name:{Style.RESET_ALL} {data[4]}")
print(f"{Fore.GREEN}[+] Avatar image (current bitmoji):{Style.RESET_ALL} {data[5]}")
print(f"{Fore.GREEN}[+] Background image:{Style.RESET_ALL} {data[7]}")
print(f"{Fore.GREEN}[+] Snap code:{Style.RESET_ALL} {data[8]}")
def print_stats(self, data):
if(self.parser.stats):
print(rf"""{Fore.YELLOW}
_____ _ _
/ ____| | | |
| (___ | |_ __ _| |_ ___
\___ \| __/ _` | __/ __|
____) | || (_| | |_\__ \
|_____/ \__\__,_|\__|___/
{Style.RESET_ALL}""")
#Stories
print(f"\n{Fore.GREEN}[+] Number of stories:{Style.RESET_ALL} {data[0][0]}")
#Curated highlights
try:
print(f"\n{Fore.GREEN}[+] Number of curated highlight stories:{Style.RESET_ALL} {data[1][0]}")
total = 0
for story in data[1][1:]:
total += len(story[1:])
except:
total = 0
print(f"{Fore.GREEN}[+] Number of total snaps in curated highlights:{Style.RESET_ALL} {total}")
#Spotlights
print(f"\n{Fore.GREEN}[+] Number of spotlights:{Style.RESET_ALL} {data[2][0]}")
total = 0
time_strings = list()
for spotlight in data[2][1:-1]:
#print(spotlight)
try:
total += len(spotlight[7])
except IndexError:
total += len(spotlight[6])
time_strings.append(spotlight[2])
print(f"{Fore.GREEN}[+] Number of total snaps in spotlights:{Style.RESET_ALL} {total}")
print(f"{Fore.GREEN}[+] Total snaps' duration in spotlights:{Style.RESET_ALL} {self.ssd.time_str_list_to_seconds(time_strings)}")
try:
if(data[2][-1] > 0):
print(f"{Fore.GREEN}[+] Total spotlights engagement stats:{Style.RESET_ALL} {data[2][-1]}")
except:
pass
#Lenses
print(f"\n{Fore.GREEN}[+] Number of lenses:{Style.RESET_ALL} {data[3][0]}")
def print_stories(self, data):
if(self.parser.list_stories or self.parser.list_all):
print(rf"""{Fore.YELLOW}
_____ _ _
/ ____| | (_)
| (___ | |_ ___ _ __ _ ___ ___
\___ \| __/ _ \| '__| |/ _ \/ __|
____) | || (_) | | | | __/\__ \
|_____/ \__\___/|_| |_|\___||___/
{Style.RESET_ALL}""")
print(f"{Fore.GREEN}[+] Number of stories: {data[0]}")
EXTS = ["Image (JPG)", "Video (MP4)"]
for snap in data[1:]:
print(f"{Fore.GREEN}[+] ID:{Style.RESET_ALL} {Fore.YELLOW}{snap[0]}{Style.RESET_ALL}")
print(f"\t{Fore.GREEN}[+] URL:{Style.RESET_ALL} {snap[1]}")
print(f"\t{Fore.GREEN}[+] Upload date:{Style.RESET_ALL} {snap[2]}")
print(f"\t{Fore.GREEN}[+] File type:{Style.RESET_ALL} {EXTS[snap[3]]}\n")
def print_curated_highlights(self, data):
if(self.parser.list_highlights or self.parser.list_all):
try:
#Random test to trigger NoneType error
if(data[0] == "test"):
pass
except:
return
print(rf"""{Fore.YELLOW}
_____ _ _ _ _ _ _ _ _ _ _
/ ____| | | | | | | | (_) | | | (_) | | | |
| | _ _ _ __ __ _| |_ ___ __| | | |__| |_ __ _| |__ | |_ __ _| |__ | |_ ___
| | | | | | '__/ _` | __/ _ \/ _` | | __ | |/ _` | '_ \| | |/ _` | '_ \| __/ __|
| |___| |_| | | | (_| | || __/ (_| | | | | | | (_| | | | | | | (_| | | | | |_\__ \
\_____\__,_|_| \__,_|\__\___|\__,_| |_| |_|_|\__, |_| |_|_|_|\__, |_| |_|\__|___/
__/ | __/ |
|___/ |___/
{Style.RESET_ALL}""")
print(f"{Fore.GREEN}[+] Number of stories:{Style.RESET_ALL} {data[0]}")
total = 0
for story in data[1:]:
total += len(story[1:])
print(f"{Fore.GREEN}[+] Number of total snaps in curated highlights:{Style.RESET_ALL} {total}")
for story in data[1:]:
print(f"\n{Fore.GREEN}[+] Story title:{Style.BRIGHT}{Style.RESET_ALL} {story[0]}")
print(f"{Fore.GREEN}[+] Number of snaps:{Style.RESET_ALL} {len(story[1:])}")
for snap in story[1:]:
print(f"\t{Fore.GREEN}[+] ID:{Style.RESET_ALL} {Fore.YELLOW}{snap[0]}{Style.RESET_ALL}")
print(f"\t\t{Fore.GREEN}[+] URL:{Style.RESET_ALL} {snap[1]}")
print(f"\t\t{Fore.GREEN}[+] Upload date:{Style.RESET_ALL} {snap[2]}")
def print_spotlights(self, data):
if(self.parser.list_spotlights or self.parser.list_all):
print(rf"""{Fore.YELLOW}
_____ _ _ _ _ _
/ ____| | | | (_) | | | |
| (___ _ __ ___ | |_| |_ __ _| |__ | |_ ___
\___ \| '_ \ / _ \| __| | |/ _` | '_ \| __/ __|
____) | |_) | (_) | |_| | | (_| | | | | |_\__ \
|_____/| .__/ \___/ \__|_|_|\__, |_| |_|\__|___/
| | __/ |
|_| |___/
{Style.RESET_ALL}""")
print(f"{Fore.GREEN}[+] Number of spotlights:{Style.RESET_ALL} {data[0]}")
time_strings = list()
for spotlight in data[1:-1]:
print(f"\n{Fore.GREEN}[+] Spotlight name:{Style.RESET_ALL} {Style.BRIGHT}{Fore.YELLOW}{spotlight[1]}{Style.RESET_ALL}")
print(f"{Fore.GREEN}[+] Thumbnail:{Style.RESET_ALL} {spotlight[0]}")
print(f"{Fore.GREEN}[+] Duration:{Style.RESET_ALL} {spotlight[2]}")
time_strings.append(spotlight[2])
print(f"{Fore.GREEN}[+] Upload date:{Style.RESET_ALL} {spotlight[3]}")
if(len(spotlight[4]) != 0):
print(f"{Fore.GREEN}[+] Engagement stats:{Style.RESET_ALL} {spotlight[4]}")
print(f"{Fore.GREEN}[+] Hashtags:{Style.RESET_ALL} {', '.join(spotlight[5])}")
print(f"{Fore.GREEN}[+] Snaps:{Style.RESET_ALL}")
try:
for story in spotlight[7]:
print(f"\t{Fore.GREEN}[+] ID:{Style.RESET_ALL} {Fore.YELLOW}{story[0]}{Style.RESET_ALL}")
print(f"\t{Fore.GREEN}[+] URL:{Style.RESET_ALL} {story[1]}\n")
except IndexError:
for story in spotlight[6]:
print(f"\t{Fore.GREEN}[+] ID:{Style.RESET_ALL} {Fore.YELLOW}{story[0]}{Style.RESET_ALL}")
print(f"\t{Fore.GREEN}[+] URL:{Style.RESET_ALL} {story[1]}\n")
if(data[-1] > 0):
print(f"\n{Fore.GREEN}[+] Total engagement stats:{Style.RESET_ALL} {data[-1]}")
print(f"{Fore.GREEN}[+] Total snaps' duration in spotlights:{Style.RESET_ALL} {self.ssd.time_str_list_to_seconds(time_strings)}")
try:
if(len(data[-2][5]) > 0):
print(f"{Fore.GREEN}[+] Top 10 hashtags:{Style.RESET_ALL}")
for hashtag, count in data[-2][6]:
print(f"\t{hashtag}: {count} time(s)")
except TypeError:
pass
def print_lenses(self, data):
if(self.parser.list_lenses or self.parser.list_all):
print(rf"""{Fore.YELLOW}
.__
| | ____ ____ ______ ____ ______
| | _/ __ \ / \ / ___// __ \ / ___/
| |_\ ___/| | \\___ \\ ___/ \___ \
|____/\___ >___| /____ >\___ >____ >
\/ \/ \/ \/ \/
{Style.RESET_ALL}""")
print(f"{Fore.GREEN}[+] Number of lenses:{Style.RESET_ALL} {data[0]}")
for lense in data[1:]:
print(f"{Fore.GREEN}[+] Lense title:{Style.RESET_ALL} {lense[0]}")
print(f"\t{Style.BRIGHT}Is lense official?{Style.RESET_ALL} {lense[1]}")
print(f"\t{Style.BRIGHT}Preview video URL:{Style.RESET_ALL} {lense[2]}")
def print_bitmojis(self, data, download):
if(self.parser.list_bitmojis or self.parser.list_all):
print(rf"""{Fore.YELLOW}
__________.__ __ __.__
\______ \__|/ |_ _____ ____ |__|__| ______
| | _/ \ __\/ \ / _ \ | | |/ ___/
| | \ || | | Y Y ( <_> ) | | |\___ \
|______ /__||__| |__|_| /\____/\__| |__/____ >
\/ \/ \______| \/
{Style.RESET_ALL}""")
try:
print(f"{Fore.GREEN}[+] Number of different bitmojis:{Style.RESET_ALL} {len(data)}")
except TypeError:
print(f"{Fore.GREEN}[+] Number of different bitmojis:{Style.RESET_ALL} 0")
if(not download):
print("If you want to download the bitmojis, take a look at the --download/-d option!")
================================================
FILE: heatmap.py
================================================
import pandas as pnd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
class Snap_Heatmap:
def __init__(self):
self._dates_str = list()
#Concatenate the new list to the member
def fill_dates(self, dates):
self._dates_str.append(dates)
#Remove all duplicate dates
def sort_uniq_dates(self):
self._dates_str = sorted(set(self._dates_str))
#Convert all the string dates into datetime object
def convert_str_to_date(self):
return pnd.to_datetime(self._dates_str, format='%Y-%m-%d %H:%M:%S')
def compute_dates(self, dates):
#Create a DataFrame
data = pnd.DataFrame({'dates': dates})
#Extract the hour and day of the week
data['hour'] = data['dates'].dt.hour
data['day_of_week'] = data['dates'].dt.dayofweek
#Normalize day_of_week so that the two Mondays are considered the same
data['day_of_week'] = (data['day_of_week'] - data['day_of_week'].min()) % 7
return data
def generate_heatmap(self):
self.sort_uniq_dates()
dt_dates = self.convert_str_to_date()
data = self.compute_dates(dt_dates)
#Create a matrix to store counts
heatmap_matrix = np.zeros((24, 7))
#Fill the matrix with counts
for _, row in data.iterrows():
heatmap_matrix[row['hour']][row['day_of_week']] += 1
#Create a heatmap using seaborn
plt.figure(figsize=(12, 8))
sns.heatmap(heatmap_matrix, cmap="BuPu", xticklabels=1, yticklabels=False, annot=True) # Remove ytick labels
#Set axis labels
plt.xlabel('Day of the Week')
plt.ylabel('Hour of the Day')
#Set x and y axis labels based on the day of the week and hours
days_of_week = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
hours_of_day = [str(i) + ':00' for i in range(24)]
plt.xticks(np.arange(7) + 0.5, days_of_week)
plt.yticks(np.arange(24) + 0.5, hours_of_day)
plt.title('Upload Time Heatmap')
plt.show()
def create_heatmap(self):
self.generate_heatmap()
================================================
FILE: main.py
================================================
import ssd
def main():
snap_dl = ssd.Snap_Story_Downloader()
snap_dl.run()
main()
================================================
FILE: requirements.txt
================================================
requests
argparse
datetime
pandas
numpy
seaborn
matplotlib
colorama
================================================
FILE: setup.py
================================================
from setuptools import setup
setup(
name="SnapIntel",
description="Investigate Snapchat users with SnapIntel",
author="Kr0wZ",
license="AGPL-3.0",
py_modules=["main", "display", "snap_parser", "heatmap", "ssd"],
install_requires=[
"datetime",
"pandas",
"seaborn",
"argparse",
"colorama",
"requests",
"matplotlib",
"numpy",
],
entry_points={
"console_scripts": [
"snapintel = main:main", # This tells setuptools to create a command 'snapintel'
],
},
)
================================================
FILE: snap_parser.py
================================================
import argparse
import ssd
class Parser:
def __init__(self):
self.parser = None
self.args = None
self.username = ""
self.output_dir = "."
self.timeout = 30
self.threads = 10
self.list_all = False
self.list_user = False
self.list_stories = False
self.list_highlights = False
self.list_spotlights = False
self.list_lenses = False
self.list_bitmojis = False
self.stats = False
self.opt_heatmap = False
self.download_bool = False
self.download_all = False
self.download_stories = False
self.download_highlights = False
self.download_spotlights = False
self.download_lenses = False
self.download_bitmojis = False
def build_arg_parser(self):
epilog = f"EXAMPLES:\nShow stats for a specific user:\n\tpython3 main.py -u <SNAP_USER> -s\n\nList all elements (account, stories, curated highlights, spotlights, lenses) for a specific user:\n\tpython3 main.py -u <SNAP_USER> -l a\n\nList stories, spotlights and generate a heatmap related to this data based on upload date:\n\tpython3 main.py -u <SNAP_USER> -l sp -m\n\nList stories, download everything (stories, curated highlights, spotlights, lenses) and store them to directory 'data':\n\tpython3 main.py -u <SNAP_USER> -l s -d a -o ./data"
self.parser = argparse.ArgumentParser(description="SnapIntel OSINT Tool - Made by KrowZ", epilog=epilog, argument_default=argparse.SUPPRESS, formatter_class=argparse.RawTextHelpFormatter)
self.parser.add_argument("-u", "--username", dest="username", type=str, help="Username of account we want to download stories from")
self.parser.add_argument("-s", "--stats", dest="stats", action="store_true", help="Only prints summary and statistics about the account")
self.parser.add_argument("-l", "--list", nargs="?", const="u", metavar='OPTIONS', help="List the desired information. By default, lists only user information. 'a' = all, 's' = stories, 'u' = user, 'c' = curated highlights, 'p' = spotlights, 'l' = lenses, 'b' = bitmojis. Multiple options can be combined together: E.g: -l 'csl'")
self.parser.add_argument("-m", "--heatmap", dest="heatmap", action="store_true", help="Generates a heatmap related to upload dates. Must be used with '-l/--list' option")
self.parser.add_argument("-d", "--download", nargs="?", const="s", metavar='OPTIONS', help="Downloads specific videos posted by a user. By default, only downloads current stories. 'a' = all, 's' = stories, 'c' = curated highlights, 'p' = spotlights, 'l' = lenses, 'b' = bitmojis. Multiple options can be combined together: E.g: -d 'csl'")
self.parser.add_argument("-o", "--output", dest="output", type=str, metavar='DIRECTORY', help="Path where stories are stored. Default : current directory")
self.parser.add_argument("-t", "--timeout", dest="timeout", type=str, help="Requests timeout. Default : 30 seconds")
self.parser.add_argument("-T", "--threads", dest="threads", type=int, help="Number of concurrent threads. Default : 10")
self.args = self.parser.parse_args()
#It means the user specified the -l option but with nothing behind
if("list" in self.args):
for letter in self.args.list:
if(letter not in 'auscplb'):
self.parser.error("You must specify a valid option for -l/--list")
if(letter == 'a'):
self.list_all = True
else:
if(letter == 'u'):
self.list_user = True
if(letter == 's'):
self.list_stories = True
if(letter == 'c'):
self.list_highlights = True
if(letter == 'p'):
self.list_spotlights = True
if(letter == 'l'):
self.list_lenses = True
if(letter == 'b'):
self.list_bitmojis = True
if("download" in self.args):
for letter in self.args.download:
if(letter not in 'ascplb'):
self.parser.error("You must specify a valid option for -d/--download")
if(letter == 'a'):
self.download_all = True
else:
if(letter == 's'):
self.download_stories = True
if(letter == 'c'):
self.download_highlights = True
if(letter == 'p'):
self.download_spotlights = True
if(letter == 'l'):
self.download_lenses = True
if(letter == 'b'):
self.download_bitmojis = True
#If any of download is required
self.download_bool = True
if(not "username" in self.args):
self.parser.error("Parameter -u/--username is required")
else:
self.username = self.args.username
if("stats" in self.args):
self.stats = True
if("heatmap" in self.args and not "list" in self.args):
self.parser.error("You cannot generate a heatmap without -l/--list option")
if("output" in self.args):
self.output_dir = self.args.output
if(self.output_dir[-1] != '/'):
self.output_dir += "/"
if("timeout" in self.args):
self.timeout = self.args.timeout
if("threads" in self.args):
self.threads = self.args.threads
if("heatmap" in self.args):
self.opt_heatmap = True
if(not "list" in self.args and not "download" in self.args and not "stats" in self.args):
self.parser.error("Must must specify at least one of these options: -l/--list, -d/--download, -s/--stats")
if("stats" in self.args and ("list" in self.args or "download" in self.args)):
self.parser.error("You can't use option -s/--stats with -l/--list and/or -d/--download")
================================================
FILE: ssd.py
================================================
import requests
import re
import json
import datetime
import heatmap
import snap_parser
import display
import hashlib
import concurrent.futures
class Snap_Story_Downloader:
def __init__(self):
self.parser = snap_parser.Parser()
self.url = "https://www.snapchat.com/add/"
self.url_regex = r'https://(bolt-gcdn\.sc-cdn\.net|cf-st\.sc-cdn\.net)/[^"]*uc=75'
self.url_regex2 = r'\.256\.'
self.headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.3'}
self.json_regex = r'<script[^>]+type="application/json"[^>]*>(.*?)</script>'
self.json_data = None
self.mp4_files = list()
self.jpg_files = list()
self.heatmap = heatmap.Snap_Heatmap()
self.json_data_paths = None
self.json_data = None
self.private_user = False
self.display = display.Display(self.parser, self)
def update_url(self):
self.url = "https://www.snapchat.com/add/" + self.parser.username
# Perform the web request to snapchat
def make_request(self):
try:
response = requests.get(self.url, timeout=self.parser.timeout, headers=self.headers).text
self.get_info(response)
except requests.exceptions.Timeout:
print("Timeout reached")
def load_paths(self, response, file):
with open(file, "r") as config_file:
config_data = json.load(config_file)
self.json_data_paths = config_data.get("json_data_paths", [])
# Returns the corresponding value given a path and a data
def get_value(self, data_name, placeholders=None):
path = self.json_data_paths.get(data_name)
if path:
data = self.json_data
for key in path.split('.'):
try:
# Check if there is a keyword in a path in JSON file (such as test.{count}.test). In this case, we replace the
# keyword by the corresponding value from a variable in the code
match = re.match(r"{(.*?)}", key)
if(match):
data = data[placeholders]
else:
data = data.get(key, {})
except AttributeError:
pass
return data
# Returns a list of all bitmoji versions for a user
def bitmojis(self, url) -> list:
if(self.parser.list_bitmojis or self.parser.list_all or self.parser.download_bitmojis or self.parser.download_all):
result = set() # Use a set to store unique md5 hashes
# Split the URL to get the base and end parts
base_url = url.split("_")[0]
last_version = url.split("_")[1].split("-")[0]
end_url = '-'.join(url.split("-")[4:])
# Use ThreadPoolExecutor to download and process bitmoji versions in parallel
with concurrent.futures.ThreadPoolExecutor(max_workers=self.parser.threads) as executor:
# Create a list of futures, one for each bitmoji version
futures = [
executor.submit(self.process_bitmoji_version, base_url, end_url, i)
for i in reversed(range(1, int(last_version) + 1))
]
# As futures complete, collect the results
for future in concurrent.futures.as_completed(futures):
md5_hash, content = future.result()
if md5_hash and md5_hash not in result:
result.add(md5_hash)
# Optional: Save content to a file
if(self.parser.download_bitmojis or self.parser.download_all):
try:
with open(self.parser.output_dir + f"{md5_hash}.webp", 'wb') as file:
file.write(content)
except FileNotFoundError:
print("Error can't find the specified folder")
exit(1)
except PermissionError:
print("Error can't access the specified folder. Check permissions or run this program with sudo rights")
exit(2)
return list(result)
# Function to process a single bitmoji version
def process_bitmoji_version(self, base_url, end_url, version):
try:
# Construct the final URL for the current version
final_url = '-'.join(['_'.join([base_url, str(version)]), end_url])
# Make the HTTP request to get the bitmoji
md5_hash = hashlib.md5()
response = requests.get(final_url, timeout=self.parser.timeout, headers=self.headers)
# Update the md5 hash with the response content
for data in response.iter_content(8192):
md5_hash.update(data)
# Return the md5 hash and content
return md5_hash.hexdigest(), response.content
except requests.exceptions.Timeout:
print(f"Timeout reached for version {version}")
return None, None
#When calling the print function, check for the third item. If true then get some info else, get other ones
def get_basic_information(self) -> list:
#Get basic information
result = list()
page_type = self.get_value("pageType")
page_title = self.get_value("pageTitle")
if(not page_title):
print("User doesn't exist")
exit(1)
#These first two results are always there
result.append(page_title)
result.append(self.get_value("pageDescription"))
#If the snapchat account is public
if(page_type == 18):
result.append(self.private_user)
result.append(self.get_value("username"))
result.append(self.get_value("badge"))
#Change profile picture size
profilePictureUrl = re.sub(r'90(?=_FM(png|jpeg|gif)$)', "640", self.get_value("profilePictureUrl"))
result.append(profilePictureUrl)
result.append(self.get_value("squareHeroImageUrl"))
result.append(self.get_value("subscriberCount"))
result.append(self.get_value("bio"))
result.append(self.get_value("websiteUrl"))
result.append(self.get_value("snapcodeImageUrl"))
# Not all private accounts have these pieces of information.
else:
self.private_user = True
result.append(self.private_user)
result.append(self.get_value("private_username"))
result.append(self.get_value("displayName"))
result.append(self.get_value("avatarImageUrl"))
# Can't compute this for the stats option because it slows down the whole program only for that piece of information
result.append(self.get_value("avatarImageUrl"))
result.append(self.get_value("backgroundImageUrl"))
result.append(self.get_value("private_snapcodeImageUrl"))
return result
def get_stories(self) -> list:
# Story
result = list()
story = self.get_value("story")
try:
result.append(len(story))
for snap in story:
if(self.parser.download_stories or self.parser.download_all or self.parser.stats):
if(snap["snapMediaType"] == 0):
self.jpg_files.append(snap["snapUrls"]["mediaUrl"])
else:
self.mp4_files.append(snap["snapUrls"]["mediaUrl"])
if(self.parser.list_stories or self.parser.list_all):
snap_item = list()
snap_item.append(snap["snapIndex"])
snap_item.append(snap["snapUrls"]["mediaUrl"])
self.heatmap.fill_dates(datetime.datetime.utcfromtimestamp(int(snap["timestampInSec"]["value"])).strftime("%Y-%m-%d %H:%M:%S"))
snap_item.append(datetime.datetime.utcfromtimestamp(int(snap["timestampInSec"]["value"])).strftime("%Y-%m-%d %H:%M:%S"))
snap_item.append(snap["snapMediaType"])
result.append(snap_item)
except TypeError:
result.append(0)
#print(result)
return result
def get_curated_highlights(self) -> list:
#Curated highlights
result = list()
#Check if user has uploaded highlights to avoid parsing for nothing.
if(self.get_value("hasCuratedHighlights") != False):
curated_highlights = self.get_value("curatedHighlights")
result.append(len(curated_highlights))
#List curated highlights
for snap in curated_highlights:
if(self.parser.list_highlights or self.parser.list_all or self.parser.download_highlights or self.parser.download_all or self.parser.stats):
snap_item = list()
snap_item.append(snap["storyTitle"]["value"])
#Retrieve the same data as for basic snap stories
for story in snap["snapList"]:
if(self.parser.download_highlights or self.parser.download_all):
if(story["snapMediaType"] == 0):
self.jpg_files.append(story["snapUrls"]["mediaUrl"])
else:
self.mp4_files.append(story["snapUrls"]["mediaUrl"])
story_item = list()
story_item.append(story["snapIndex"])
story_item.append(story["snapUrls"]["mediaUrl"])
try:
story_item.append(datetime.datetime.utcfromtimestamp(int(story["timestampInSec"]["value"])).strftime("%Y-%m-%d %H:%M:%S"))
self.heatmap.fill_dates(datetime.datetime.utcfromtimestamp(int(story["timestampInSec"]["value"])).strftime("%Y-%m-%d %H:%M:%S"))
except KeyError:
story_item.append("None")
snap_item.append(story_item)
result.append(snap_item)
return result
#Spotlights
def get_spotlights(self) -> list:
result = list()
#Check if user has uploaded spotlights to avoid parsing for nothing.
if(self.get_value("spotlightHighlights") != False):
spotlight_highlights = self.get_value("spotlightHighlights")
#print(len(spotlight_highlights))
result.append(len(spotlight_highlights))
total_engagements = 0
#List spotlight highlights
count = 0
#Initialize a dictionary to count hashtags
hashtag_counts = {}
top_10_hashtags = dict()
for spotlight_highlight in spotlight_highlights:
if(self.parser.list_spotlights or self.parser.list_all or self.parser.download_spotlights or self.parser.download_all or self.parser.stats):
try:
spotlight_item = list()
spotlight_item.append(spotlight_highlight["thumbnailUrl"]["value"])
#Get metadata
#Pass the count variable as an argument to be able to convert it from the path to the actual value in the loop
spotlight_name = self.get_value("spotlightName", count)
spotlight_item.append(spotlight_name)
#Convert ms to minutes:seconds
minutes, seconds = self.ms_to_minutes_seconds(int(self.get_value("spotlightDuration", count)))
spotlight_item.append(f"{minutes}m{seconds}s")
spotlight_item.append(datetime.datetime.utcfromtimestamp(int(self.get_value("spotlightUploadDate", count))/1000).strftime("%Y-%m-%d %H:%M:%S"))
self.heatmap.fill_dates(datetime.datetime.utcfromtimestamp(int(self.get_value("spotlightUploadDate", count))/1000).strftime("%Y-%m-%d %H:%M:%S"))
engagement_stats = self.get_value("spotlightEngagementStats", count)
total_engagements += int(engagement_stats)
#Do not show information if negative because the data is not legitimate
if(total_engagements > -1):
spotlight_item.append(engagement_stats)
hashtag_list = list()
#Count hashtag occurrences
for hashtag in self.get_value("spotlightHashtags", count):
#print(hashtag)
hashtag_list.append(hashtag)
if hashtag in hashtag_counts:
hashtag_counts[hashtag] += 1
else:
hashtag_counts[hashtag] = 1
spotlight_item.append(hashtag_list)
#Get the top 10 hashtags
top_10_hashtags = sorted(hashtag_counts.items(), key=lambda x: x[1], reverse=True)[:10]
spotlight_item.append(top_10_hashtags)
stories = list()
for story in spotlight_highlight["snapList"]:
story_item = list()
if(self.parser.download_spotlights or self.parser.download_all):
if(snap["snapMediaType"] == 0):
self.jpg_files.append(snap["snapUrls"]["mediaUrl"])
else:
self.mp4_files.append(snap["snapUrls"]["mediaUrl"])
story_item.append(story["snapIndex"])
story_item.append(story["snapUrls"]["mediaUrl"])
stories.append(story_item)
spotlight_item.append(stories)
count += 1
result.append(spotlight_item)
except TypeError:
pass
#Print the top 10 hashtags and their counts
# for hashtag, count in top_10_hashtags:
# print(f"{hashtag}: {count} times")
result.append(total_engagements)
return result
def get_lenses(self) -> list:
#Lenses
result = list()
lenses = self.get_value("lenses")
result.append(len(lenses))
for lense in lenses:
lense_item = list()
if(self.parser.download_lenses or self.parser.download_all):
self.mp4_files.append(lense["lensPreviewVideoUrl"])
if(self.parser.list_lenses or self.parser.list_all or self.parser.stats):
lense_item.append(lense["lensName"])
lense_item.append(lense["isOfficialSnapLens"])
lense_item.append(lense["lensPreviewVideoUrl"])
result.append(lense_item)
return result
#Get information from the JSON data
def get_info(self, response):
#Load resources
self.load_paths(response, "config.json")
self.json_data = json.loads(self.extract_json(response))
basic_information = self.get_basic_information()
self.display.print_basic_information(basic_information)
if(not self.private_user):
stories = self.get_stories()
self.display.print_stories(stories)
curated_highlights = self.get_curated_highlights()
self.display.print_curated_highlights(curated_highlights)
spotlights = self.get_spotlights()
self.display.print_spotlights(spotlights)
lenses = self.get_lenses()
self.display.print_lenses(lenses)
self.display.print_stats([stories, curated_highlights, spotlights, lenses])
if(self.parser.download_bool):
self.download_files()
if(self.parser.opt_heatmap):
#Create the heatmap and visualize it
self.heatmap.create_heatmap()
else:
bitmojis_information = self.bitmojis(basic_information[5])
self.display.print_bitmojis(bitmojis_information, self.parser.download_bitmojis or self.parser.download_all)
if(self.parser.download_bitmojis or self.parser.download_all):
print(f"[+] All the {len(bitmojis_information)} bitmojis have been downloaded")
print("\nUser is private, can't retrieve information about snaps")
def time_str_to_seconds(self, time_str):
minutes, seconds = map(int, re.findall(r'\d+', time_str))
return minutes * 60 + seconds
def time_str_list_to_seconds(self, time_list):
#Compute seconds and minutes
total_seconds = sum(self.time_str_to_seconds(time_str) for time_str in time_list)
total_minutes = total_seconds // 60
remaining_seconds = total_seconds % 60
#Convert excess seconds into minutes
total_minutes += remaining_seconds // 60
remaining_seconds %= 60
return f"{total_minutes}m{remaining_seconds}s"
def ms_to_minutes_seconds(self, milliseconds):
# Convert milliseconds to seconds by dividing by 1000
seconds = milliseconds / 1000
# Calculate minutes and seconds
minutes = seconds // 60
seconds = seconds % 60
return int(minutes), int(seconds)
#Extract the json from the response
def extract_json(self, response):
match = re.search(self.json_regex, response, re.DOTALL)
# Check if a match was found
if match:
# Extract and print the JSON content
json_data = match.group(1)
try:
return json.dumps(json.loads(json_data), indent=4)
except json.JSONDecodeError as e:
print("Failed to parse JSON:", e)
else:
print("No <script> tag with type 'application/json' found in the HTML response.")
return None
#Takes too much time for now
#def compute_files_size(self):
# total_length = 0
# for url in self.mp4_files:
# try:
# response = requests.get(url, timeout=self.parser.timeout, headers=self.headers)
# length = response.headers.get("content-length")
# if(length != None):
# total_length += int(length)
# except requests.exceptions.Timeout:
# print("Timeout reached")
# print(f"Total size: {total_length/1000000:.2f} Mo")
#Downloads the stories and save each of them in a separate file
def download_files(self):
message = "stories, highlights, spotlights and lenses"
if(self.parser.download_stories):
message = "stories"
elif(self.parser.download_highlights):
message = "highlights"
elif(self.parser.download_spotlights):
message = "spotlights"
print(f"Starting downloading {message} ...")
# Use ThreadPoolExecutor to download files in parallel
with concurrent.futures.ThreadPoolExecutor(max_workers=self.parser.threads) as executor:
# Submit each download task to the executor
futures = []
for count, url in enumerate(self.mp4_files):
futures.append(executor.submit(self.download_and_save, url, count, "mp4"))
for count, url in enumerate(self.jpg_files):
futures.append(executor.submit(self.download_and_save, url, count, "jpg"))
# Optionally, wait for all threads to complete and handle errors
for future in concurrent.futures.as_completed(futures):
try:
future.result() # This will raise exceptions if they occurred in threads
except Exception as e:
print(f"Error occurred in a thread: {e}")
print(f"All {message} saved in {self.parser.output_dir}")
def download_and_save(self, url, count, ext):
try:
# Download the file from the URL
#print(f"Downloading file {count} from {url}")
dl_url = requests.get(url, timeout=self.parser.timeout, headers=self.headers)
# Save the file
self.save_file(dl_url, url, count, ext)
except requests.exceptions.Timeout:
print(f"Timeout reached for {url}")
except Exception as e:
print(f"Error downloading {url}: {e}")
#Save the data (mp4) to a file
def save_file(self, data, url, count, ext):
filename = "/" + str(count) + "_" + url.split("/")[4].split(".")[0] + "." + ext
try:
with open(self.parser.output_dir + filename, 'wb') as file:
file.write(data.content)
except FileNotFoundError:
print("Error can't find the specified folder")
exit(1)
except PermissionError:
print("Error can't access the specified folder. Check permissions or run this program with sudo rights")
exit(2)
#Main function
def run(self):
self.parser.build_arg_parser()
self.update_url()
self.make_request()
if(__name__ == "__main__"):
snap_dl = Snap_Story_Downloader()
snap_dl.run()
gitextract_rjt71ivf/ ├── .gitignore ├── LICENSE ├── README.md ├── config.json ├── display.py ├── heatmap.py ├── main.py ├── requirements.txt ├── setup.py ├── snap_parser.py └── ssd.py
SYMBOL INDEX (43 symbols across 5 files)
FILE: display.py
class Display (line 3) | class Display:
method __init__ (line 4) | def __init__(self, parser, ssd):
method print_basic_information (line 8) | def print_basic_information(self, data):
method print_stats (line 50) | def print_stats(self, data):
method print_stories (line 102) | def print_stories(self, data):
method print_curated_highlights (line 124) | def print_curated_highlights(self, data):
method print_spotlights (line 165) | def print_spotlights(self, data):
method print_lenses (line 214) | def print_lenses(self, data):
method print_bitmojis (line 232) | def print_bitmojis(self, data, download):
FILE: heatmap.py
class Snap_Heatmap (line 6) | class Snap_Heatmap:
method __init__ (line 7) | def __init__(self):
method fill_dates (line 11) | def fill_dates(self, dates):
method sort_uniq_dates (line 15) | def sort_uniq_dates(self):
method convert_str_to_date (line 19) | def convert_str_to_date(self):
method compute_dates (line 22) | def compute_dates(self, dates):
method generate_heatmap (line 35) | def generate_heatmap(self):
method create_heatmap (line 64) | def create_heatmap(self):
FILE: main.py
function main (line 3) | def main():
FILE: snap_parser.py
class Parser (line 4) | class Parser:
method __init__ (line 5) | def __init__(self):
method build_arg_parser (line 36) | def build_arg_parser(self):
FILE: ssd.py
class Snap_Story_Downloader (line 11) | class Snap_Story_Downloader:
method __init__ (line 12) | def __init__(self):
method update_url (line 32) | def update_url(self):
method make_request (line 36) | def make_request(self):
method load_paths (line 44) | def load_paths(self, response, file):
method get_value (line 51) | def get_value(self, data_name, placeholders=None):
method bitmojis (line 70) | def bitmojis(self, url) -> list:
method process_bitmoji_version (line 107) | def process_bitmoji_version(self, base_url, end_url, version):
method get_basic_information (line 127) | def get_basic_information(self) -> list:
method get_stories (line 169) | def get_stories(self) -> list:
method get_curated_highlights (line 199) | def get_curated_highlights(self) -> list:
method get_spotlights (line 238) | def get_spotlights(self) -> list:
method get_lenses (line 326) | def get_lenses(self) -> list:
method get_info (line 345) | def get_info(self, response):
method time_str_to_seconds (line 384) | def time_str_to_seconds(self, time_str):
method time_str_list_to_seconds (line 388) | def time_str_list_to_seconds(self, time_list):
method ms_to_minutes_seconds (line 400) | def ms_to_minutes_seconds(self, milliseconds):
method extract_json (line 411) | def extract_json(self, response):
method download_files (line 443) | def download_files(self):
method download_and_save (line 474) | def download_and_save(self, url, count, ext):
method save_file (line 487) | def save_file(self, data, url, count, ext):
method run (line 500) | def run(self):
Condensed preview — 11 files, each showing path, character count, and a content snippet. Download the .json file or copy for the full structured content (84K chars).
[
{
"path": ".gitignore",
"chars": 116,
"preview": "# Python cache files\n__pycache__/\n*.py[cod]\n\n# Virtual environments\nenv/\nvenv/\n\n# Build artifacts\nbuild/\n*.egg-info/"
},
{
"path": "LICENSE",
"chars": 34523,
"preview": " GNU AFFERO GENERAL PUBLIC LICENSE\n Version 3, 19 November 2007\n\n Copyright (C)"
},
{
"path": "README.md",
"chars": 4478,
"preview": "\n\n# SnapIntel\n\n### W"
},
{
"path": "config.json",
"chars": 2402,
"preview": "{\n \"json_data_paths\": {\n \"pageType\": \"props.pageProps.pageMetadata.pageType\",\n \"pageTitle\": \"props.page"
},
{
"path": "display.py",
"chars": 10066,
"preview": "from colorama import Fore, Style\r\n\r\nclass Display:\r\n\tdef __init__(self, parser, ssd):\r\n\t\tself.parser = parser\r\n\t\tself.ss"
},
{
"path": "heatmap.py",
"chars": 1928,
"preview": "import pandas as pnd\nimport numpy as np\nimport seaborn as sns\nimport matplotlib.pyplot as plt\n\nclass Snap_Heatmap:\n\tdef "
},
{
"path": "main.py",
"chars": 85,
"preview": "import ssd\n\ndef main():\n\tsnap_dl = ssd.Snap_Story_Downloader()\n\tsnap_dl.run()\n\nmain()"
},
{
"path": "requirements.txt",
"chars": 68,
"preview": "requests\nargparse\ndatetime\npandas\nnumpy\nseaborn\nmatplotlib\ncolorama\n"
},
{
"path": "setup.py",
"chars": 580,
"preview": "from setuptools import setup\n\nsetup(\n name=\"SnapIntel\",\n description=\"Investigate Snapchat users with SnapIntel\",\n"
},
{
"path": "snap_parser.py",
"chars": 5255,
"preview": "import argparse\nimport ssd\n\nclass Parser:\n\tdef __init__(self):\n\t\tself.parser = None\n\t\tself.args = None\n\n\t\tself.username "
},
{
"path": "ssd.py",
"chars": 18070,
"preview": "import requests\r\nimport re\r\nimport json\r\nimport datetime\r\nimport heatmap\r\nimport snap_parser\r\nimport display\r\nimport has"
}
]
About this extraction
This page contains the full source code of the Kr0wZ/SnapIntel GitHub repository, extracted and formatted as plain text for AI agents and large language models (LLMs). The extraction includes 11 files (75.8 KB), approximately 18.9k tokens, and a symbol index with 43 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.