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CRAWLEE
Build reliable web scrapers and crawlers for AI data extraction
Apache-2.0
ABOUT
AI teams need clean, structured data from websites for training, RAG pipelines, and evaluation — but building production-grade scrapers requires managing headless browsers, proxy rotation, concurrent request scheduling, and anti-bot evasion. Crawlee abstracts all of that into a single library with automatic retries, session pools, and request queuing, so developers can focus on parsing data rather than browser infrastructure.
INSTALL
npm install crawlee
INTEGRATION GUIDE
1. Scrape e-commerce product listings and reviews to build training datasets for recommendation models
2. Extract documentation pages from multiple sources for RAG-based developer assistants
3. Crawl news sites to collect structured article data for LLM fine-tuning and evaluation
4. Build automated data pipelines that periodically scrape competitor pricing or job listings
5. Harvest public web pages to create domain-specific datasets for semantic search and QA systems
TAGS
web-scrapingcrawlingbrowser-automationdata-extractionnodejstypescriptpuppeteerplaywright