Automated web scraper to extract data from a website, likely for AI training.
Project Outcome
500,000+ profiles scraped successfully
Built a web scraper to extract over 500,000 profiles from a website for a client, likely for use as AI training data.
The client needed to extract large volumes of data from a website with dynamic content loading. The scraper had to handle rate limiting, manage memory efficiently, and output structured data.
Developed a scraping system using Puppeteer for browser automation and TypeScript for type-safe code. Implemented rate limiting and retry logic. Used AWS S3 for data storage and streaming to handle large datasets.
Built headless browser automation with Puppeteer
Implemented intelligent rate limiting and request queuing
Created retry mechanisms for failed requests
Used streaming to process large datasets efficiently
Implemented checkpoint system for resumable scraping
Stored processed data in AWS S3
Automated browser-based scraping
Intelligent rate limiting
Error handling and retry logic
Resume capability from checkpoints
Cloud storage integration
Successfully scraped 500,000+ profiles
Completed within 2-week timeline
Provided clean, structured data