stealthscraper

Stealthscraper is a Python-based social media scraper that uses GUI automation to extract data while simulating human behavior. It controls an actual Chrome browser, moving the mouse and keyboard realistically to avoid detection systems. The tool supports scraping LinkedIn employees and posts, Twitter tweets, YouTube video URLs and descriptions, and Facebook post text. It works on Windows with Chrome and can run in a VM for background operation. Users can authenticate manually or provide credentials, with output available in JSON or text format.

Install dependencies with pip install -r requirements.txt. Use python main.py with parameters like -u for URL, -m to specify module (linkedin_posts, linkedin_employees, youtube_vids, twitter_tweets, facebook_posts_txt), -o for output file, and -w for manual browser login. Supports batch scraping via -U for a URL file.