Choosing an AI crawler means optimizing for LLM-ready content, not only unblock success. These tools emphasize crawl + extract into markdown or JSON for retrieval systems and agents. Firecrawl is a common shortlist name; verify credit costs for scrape vs crawl vs JSON extract - those modes are not priced the same.
Pick an AI crawler when your output target is clean content for RAG or agents. Pick a scraping API when you need raw HTML and classic unblock mechanics for custom parsers - compare ScraperAPI or ScrapingBee. Overlap exists, but optimizing for the wrong output format wastes budget and engineering time.
For RAG, evaluate crawl depth controls, sitemap/URL list ingestion, noise removal quality, and structured extract options. Cheap crawls that leave boilerplate and nav chrome can hurt retrieval more than they save money. Use free tiers to test a representative site set before you scale corpus jobs.
Discovery and page fetch are different jobs. If rankings are the entry point, start on the Google SERP hub with tools like SerpAPI, then crawl the URLs you are authorized to ingest. For hard public pages that still need unblock APIs, keep a scraping-API failover from the scraping APIs hub.
ScraperDB lists AI crawlers beside scraping APIs so you can compare categories honestly. We do not invent crawl success-rate benchmarks - re-check vendor pricing before you scale.
Only collect public data you are authorized to access. Follow each platform’s terms, robots rules, and applicable law. ScraperDB does not publish bypass or evasion guides.