AI Web Crawler: Build a Search-Engine-Grade Crawler with Open Source
An AI web crawler uses LLMs for extraction and prioritization. We compare Crawlee, Scrapy, browserless and the modern crawling architecture.
📜 Table of Contents
Crawling is easy until you need to do it politely, at scale, without getting banned. An AI web crawler adds the modern twist: LLM-based content extraction and smart prioritization on top of the classic crawl-parse-store loop.
The Modern Stack
Crawlee (apify/crawlee, 25,204 stars) is the core: handles queues, robots.txt, retries, and headless browsers, with built-in LLM extraction now. Browserless (browserless/browserless, 13,557 stars) provides managed headless browsers as a service you can self-host - handles the anti-bot arms race for you. Scrapy (63,669 stars) remains the engine for massive, well-structured crawls.
Architecture: Crawlee (or Scrapy) manages the crawl frontier, browserless renders JavaScript pages, an LLM extracts structured fields, and the results feed a search index (Meilisearch, 58,868 stars, or Typesense, 26,402 stars). Respect robots.txt and rate limits - polite crawlers get better data and fewer blocks.
Comparison
| Tool | Role | Stars |
|---|---|---|
| Crawlee | Crawl frontier | 25,204 |
| Browserless | Headless rendering | 13,557 |
| Scrapy | Mass crawl engine | 63,669 |
| Meilisearch | Search index | 58,868 |
FAQ
Q: How do I avoid getting blocked?
A: Respect robots.txt, throttle requests (1-3s), rotate User-Agents, and render JavaScript only when needed - browserless helps with fingerprint management.
Q: How fast can I crawl?
A: Politely: hundreds to a few thousand pages/hour on a single machine, limited by rate limits rather than hardware.
Written by our editorial team; tools listed here are tested or verified against public sources. Links point to official sites or GitHub repos for reference only — no paid placements.