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: .gitignore
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# Python cache files
__pycache__/
*.py[cod]
# Virtual environments
env/
venv/
# Build artifacts
build/
*.egg-info/
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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 But it has been replaced by this new 2.0 version with a lot more functionalities.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 ⚠️
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 -s
List all elements (account, stories, curated highlights, spotlights, lenses) for a specific user:
python3 main.py -u -l a
List stories, spotlights and generate a heatmap related to this data based on upload date:
python3 main.py -u -l sp -m
List stories, download everything (stories, curated highlights, spotlights, lenses) and store them to directory 'data':
python3 main.py -u -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:
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 -s\n\nList all elements (account, stories, curated highlights, spotlights, lenses) for a specific user:\n\tpython3 main.py -u -l a\n\nList stories, spotlights and generate a heatmap related to this data based on upload date:\n\tpython3 main.py -u -l sp -m\n\nList stories, download everything (stories, curated highlights, spotlights, lenses) and store them to directory 'data':\n\tpython3 main.py -u -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']+type="application/json"[^>]*>(.*?)'
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