Tutorials, comparisons, and deep-dives on RAG pipelines, LLM data pipelines, and web scraping for production AI systems.
A developer guide to web scraping in Node.js for AI applications — from Axios/Cheerio basics to production-ready knowledge extraction APIs with TypeScript.
A practical guide to web scraping in Python for LLM applications — from DIY with BeautifulSoup to production-ready knowledge extraction APIs.
ZenRows excels at proxy rotation but returns raw HTML. We rank 6 ZenRows alternatives for AI developers who need LLM-ready output, structured extraction, and semantic search.
Zep is great for tracking how facts change over time within conversations. But if you need to extract and search live web content, that's a different problem entirely.
Solve the stale knowledge problem: build a pipeline that scrapes URLs weekly, diffs against previous versions, updates your vector store, and notifies your app.
A technical breakdown of Cloudflare, PerimeterX, DataDome, CAPTCHA, and JS fingerprinting—and how production scraping APIs handle each category for legitimate data collection.
Apify is powerful but complex. Here are the best Apify alternatives for AI agent developers who need simple URL-to-markdown and search without managing actors.
We ranked 7 web scraping APIs on LLM readiness: markdown quality, semantic search, agent loop latency, webhook support, and pricing. Real benchmark numbers included.
Full tutorial: scrape competitor pricing pages, detect changes with webhooks, extract new prices, and send Slack alerts with before/after diffs.
Crawl4AI is free and open source. KnowledgeSDK is a managed API. Compare setup time, maintenance burden, search capabilities, and true cost at scale.
Learn how to scrape Stripe, GitHub, and other API docs to build a living knowledge base for AI agents. Handle multi-page docs, versioning, and auth.
Build a production-grade e-commerce price monitoring agent: scrape JS-rendered prices, store history in Postgres, trigger webhooks on price drops.