Firecrawl

Sweet spot: a small team that needs reliable web data inside an AI feature and explicitly does not want to own a Playwright fleet. Firecrawl's Markdown output is the right default for RAG, and the MCP server makes it a one-line addition to any AI coding assistant. Failure modes. Credits look generous on the marketing page but disappear quickly on real Crawl jobs over big sites — measure on a representative target before committing to a tier. Extract's LLM cost is invisible until you read the docs carefully. For sites with serious anti-bot defenses, Firecrawl alone is not the answer — you will need a stealth proxy layer or a dedicated tool like Browser-use plus residential proxies. What to pilot. Pick the three URLs your product actually needs, run them through Scrape and Extract on the free tier, measure output cleanliness and credit burn. If Markdown quality is acceptable and the credits-per-page rate fits your unit economics, the upgrade path is obvious; if Markdown comes back broken on your target sites, the bottleneck is the sites themselves and you should evaluate Apify or browser-use first.

Firecrawl is a hosted web-scraping API designed for AI applications. Point it at a URL and you get back clean Markdown, JSON, or screenshots — no Playwright setup, no proxy fiddling, no boilerplate stripping. The product surface is four endpoints: Scrape (single URL to clean output), Crawl (entire site), Map (cheap URL discovery), and Search (search results with full page contents inline). Recently added: Interact, which can click buttons and fill forms before scraping, and Extract, which uses an LLM to turn pages into a JSON schema you define. The pitch versus rolling your own scraper is straightforward: Firecrawl handles JavaScript-heavy pages, rotates IPs, manages browser pools, retries failures, and outputs LLM-ready Markdown out of the box. P95 latency is ~3.4s across millions of pages and they claim 96% web coverage including JS-heavy sites. There is also an MCP server, so any MCP-compatible AI assistant (Claude Desktop, Cursor, Windsurf) can scrape on demand. It is open-source at the core (self-host if you want) but most users run on the hosted cloud. Pricing scales by credits — free tier is 500 credits/mo, Hobby is $19/mo for 3,000, Standard $99/mo for 100k, up to Scale at $749/mo for 1M credits. For teams building RAG pipelines, agents, or competitive-intel scrapers, Firecrawl has become one of the default picks alongside Apify and ScrapingBee.