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API, CLI, and Web App for analyzing and finding a person's profile in 1000 social media \ websites
git clone https://github.com/qeeqbox/social-analyzer.gitqeeqbox/social-analyzerSocial Analyzer - API, CLI, and Web App for analyzing & finding a person's profile across +1000 social media \ websites. It includes different analysis and detection modules, and you can choose which modules to use during the investigation process.
The detection modules utilize a rating mechanism based on different detection techniques, which produces a rate value that starts from 0 to 100 (No-Maybe-Yes). This module is intended to have fewer false positives.
The analysis and public extracted information from this OSINT tool could help investigate profiles related to suspicious or malicious activities such as cyberbullying, cyber grooming, cyberstalking, and spreading misinformation.
This project is currently used by some law enforcement agencies in countries where resources are limited - The detection database is different than the one shared here..
Websites and applications that enable users to create and share content or to participate in social networking - Oxford Dictionary
Standard localhost WEB APP url: http://0.0.0.0:9005/app.html
sudo apt-get update #Depedning on your Linux distro, you may or may not need these 2 lines sudo DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common sudo add-apt-repository ppa:mozillateam/ppa -y sudo apt-get install -y firefox-esr tesseract-ocr git nodejs npm git clone https://github.com/qeeqbox/social-analyzer.git cd social-analyzer npm update npm install npm start
sudo apt-get update #Depedning on your Linux distro, you may or may not need these 2 lines sudo DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common sudo add-apt-repository ppa:mozillateam/ppa -y sudo apt-get install -y firefox-esr tesseract-ocr git nodejs npm git clone https://github.com/qeeqbox/social-analyzer.git cd social-analyzer npm install nodejs app.js --username "johndoe" #or nodejs app.js --username "johndoe,janedoe" --metadata #or nodejs app.js --username "johndoe,janedoe" --metadata --top 100 #or nodejs app.js --username "johndoe" --type "adult"
sudo apt-get update sudo apt-get install python3 python3-pip pip3 install social-analyzer python3 -m social-analyzer --username "johndoe" #or python3 -m social-analyzer --username "johndoe" --metadata #or python3 -m social-analyzer --username "johndoe" --metadata --top 100 #or python3 -m social-analyzer --username "johndoe" --type "adult" #or python3 -m social-analyzer --username "johndoe" --websites "car" --logs --screenshots
sudo apt-get update sudo apt-get install git python3 python3-pip git clone https://github.com/qeeqbox/social-analyzer cd social-analyzer pip3 install -r requirements.txt python3 app.py --username "janedoe" #or python3 app.py --username "johndoe" --metadata #or python3 app.py --username "johndoe" --metadata --top 100 #or python3 app.py --username "johndoe" --type "adult" #or python3 app.py --username "johndoe" --websites "car" --logs --screenshots
#E.g. #1
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe",silent=True)
print(results)
#E.g. #2
from importlib import import_module
SocialAnalyzer = import_module("social-analyzer").SocialAnalyzer()
results = SocialAnalyzer.run_as_object(username="johndoe,janedoe",silent=True,output="json",filter="good",metadata=False,timeout=10, profiles="detected")
print(results)
Required Arguments:
--username E.g. johndoe, john_doe or johndoe9999
Optional Arguments:
--websites A website or websites separated by space E.g. youtube, tiktokor tumblr
--mode Analysis mode E.g.fast -> FindUserProfilesFast, slow -> FindUserProfilesSlow or special -> FindUserProfilesSpecial
--output Show the output in the following format: json -> json outputfor integration or pretty -> prettify the output
--options Show the following when a profile is found: link, rate, titleor text
--method find -> show detected profiles, get -> show all profiles regardless detected or not, all -> combine find & get
--filter Filter detected profiles by good, maybe or bad, you can do combine them with comma (good,bad) or use all
--profiles Filter profiles by detected, unknown or failed, you can do combine them with comma (detected,failed) or use all
--countries select websites by country or countries separated by space as: us br ru
--type Select websites by type (Adult, Music etc)
--top select top websites as 10, 50 etc...[--websites is not needed]
--extract Extract profiles, urls & patterns if possible
--metadata Extract metadata if possible (pypi QeeqBox OSINT)
--trim Trim long strings
--gui Reserved for a gui (Not implemented)
--cli Reserved for a cli (Not needed)
Listing websites & detections:
--list List all available websites
Setting:
--headers Headers as dict
--logs_dir Change logs directory
--timeout Change timeout between each request
--silent Disable output to screen
, reach out directly to me (do not open an issue on GitHub)more like this
🎉🌟✨🎈年会抽奖程序,基于 Express + Three.js的 3D 球体抽奖程序,奖品🧧🎁,文字,图片,抽奖规则均可配置,😜抽奖人员信息Excel一键导入😍,抽奖结果Excel导出😎,给你的抽奖活动带来全新酷炫体验🚀🚀🚀
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