# Firecrawl > Canonical: https://www.yalc.ai/tools/firecrawl/ Scrape, crawl, and search the web at scale. Clean LLM ready output. ## Categories - intelligence - prospecting **Website:** https://www.firecrawl.dev/ ## Glance - Free tier: 500 pages - SDKs: 6 languages - Open source: Yes ## Pricing **Starting Usd:** 20 **Summary:** Free tier, paid from ~$20/mo ### Narrative Firecrawl runs a real free tier (500 pages) which is enough to build and validate any Yalc scraping workflow before paying anything. Paid tiers (Hobby, Standard, Growth) escalate based on monthly page volume and concurrency. Annual billing offers two months free. The product is open source (100,000 plus GitHub stars), so for self hosted use the only cost is your own infrastructure. The hosted offering is what most Yalc workflows use because it handles the messy parts (anti bot, JS rendering, caching, scaling) so you don't. ### Tiers - **Free** - Price: $0 - Note: 500 pages a month. Right for piloting and low volume scraping. - **Hobby / Standard / Growth** - Price: from ~$20/mo - Note: Volume tiers. Higher tiers add concurrency and faster crawling. - **Self host** - Price: Own infra - Note: Open source. Run it yourself. Right when data sensitivity prohibits third party scraping. **Yalc Fit Score:** 9 **Yalc Verdict:** The web data layer for Yalc workflows. MCP server plus 6 language SDKs plus 500 free pages a month. There's no reason not to use it. ## Plain Description Firecrawl turns the web into structured data Claude can read. Four core verbs: scrape (one URL to clean markdown or JSON), crawl (follow links across a whole site), search (find relevant pages by query), and interact (click, scroll, navigate JavaScript heavy sites). Output is markdown by default, optimized for LLM context windows, with optional structured JSON via schemas. For Yalc workflows, Firecrawl is the canonical web intake. When a prompt says "look up this competitor's pricing," "extract structured data from these 50 vendor pages," "monitor changes on this product page," or "search the web for fintech news this week," Firecrawl is the layer that handles the wire. Yalc's job is upstream (what to fetch) and downstream (what to do with the result). Firecrawl handles the actual fetching, JS rendering, anti bot, and parsing. ## Yalc Framework **Workflow Step:** intake **Workflow Narrative:** Firecrawl sits at the **intake** node for any web sourced data. It complements Crustdata: where Crustdata gives you structured B2B databases, Firecrawl gives you whatever else (vendor pricing pages, product changelogs, competitor blogs, public company sites, news pages). **Workflow Position:** The web intake node. Yalc invokes Firecrawl when the answer lives on a public web page rather than in a database. Output flows downstream into whatever the workflow needs (Notion writeback, Claude analysis, comparison report). ### Prompt Patterns - Yalc, scrape these 30 competitor pricing pages via Firecrawl. Extract plan name, monthly price, included features into a structured table. Write to a new Notion page under "Competitive intel." → Yalc batches Firecrawl scrape calls with a JSON schema, normalizes output, writes to Notion. - Yalc, monitor this product changelog page once a week. When a new entry appears that mentions "API" or "integration," summarize it and post to the #product channel. → Yalc uses Firecrawl scrape with cache busting, diffs against last fetch, classifies via Claude. - Yalc, search the web via Firecrawl for "Series B fintech Germany 2026" and pull the top 20 results. Cross reference against our ICP list, surface any matches I haven't outreached yet. → Yalc uses Firecrawl search, fuzzy matches against Notion, outputs candidates. ### Chaining **Upstream:** Yalc prompt with a URL or query (no upstream) **Downstream:** Firecrawl output → Claude (analysis) → Notion or Slack ### Anti Patterns - Don't scrape the same URL on a tight loop without caching. Firecrawl supports cache hints. Use them. Otherwise you'll burn your free tier in a day. - Don't use Firecrawl when a vendor has an official API. Even on the free tier, Firecrawl is slower and less structured than a real API. Vendor API first, Firecrawl as fallback. - Don't crawl entire sites when you only need 5 pages. The crawl verb is powerful but expensive. Use scrape on specific URLs unless you genuinely need link following. **Skill Narrative:** Yalc has Firecrawl integration via Claude's native HTTP tool plus a first party `web-browsing` skill that wraps the four core verbs. The Firecrawl MCP server is also registered, which means Claude can call Firecrawl directly during a Yalc session as a native tool. ### Yalc Skill **Url:** https://github.com/Othmane-Khadri/YALC-the-GTM-operating-system ## Pros - 500 page free tier. Genuinely enough to build before paying. - Open source. 100,000 plus GitHub stars. Active dev. - 6 language SDKs (Python, Node, Go, Rust, Java, Elixir) plus CLI. - Native MCP support. Claude calls Firecrawl directly. - Handles JS rendering, anti bot, smart wait. You don't tune any of it. - Markdown output by default. LLM context window optimized. ## Cons - Sites with aggressive anti bot (Cloudflare strict, Datadome) still occasionally fail - Crawl verb is expensive. Easy to burn budget if not careful. - JSON schema extraction works most of the time, but complex schemas need iteration - Self hosted version is open source but maintaining your own scaling is real work ## Who For - GTM engineers building agentic research workflows - Operators who need pricing, changelog, news scraping as part of regular workflows - Data teams piloting LLM driven web data ingestion at small to mid scale ## Alternatives - **ScrapeGraph AI** - Rule: Switch when you want a different LLM driven scraper with overlapping feature set. - Url: # - **Apify** - Rule: Switch when you need a marketplace of pre built scrapers (Reddit, LinkedIn, Twitter) rather than a general crawler. - Url: # - **Bright Data / ScrapingBee** - Rule: Switch when the priority is residential proxies and aggressive anti bot evasion at scale. - Url: # ## In Stacks - **Intent driven prospecting stack** - Slug: intent-driven-prospecting - Role: Web intake for non database signals (vendor sites, blogs, changelogs) ## Faq - Q: How does Firecrawl compare to building my own scraper? - A: Cheaper at small to mid scale unless your data is unusually sensitive (then self host the open source). The product handles JS rendering, anti bot, retries, and caching. Building and maintaining all of that yourself is real work. Firecrawl is the right buy versus build call for most teams. - Q: Can I scrape JavaScript heavy sites? - A: Yes. Firecrawl renders JS by default, with smart wait that intelligently times the load. SPAs and React apps work without manual configuration. - Q: Does Firecrawl work for LinkedIn or Reddit? - A: For LinkedIn, no. LinkedIn aggressively blocks general scrapers. Use Unipile (API based) instead. For Reddit, technically yes, but use Apify's Reddit actors for production volume because they're battle tested. - Q: What's the free tier really like? - A: 500 pages a month. No card required. Genuinely enough to build a working Yalc workflow and validate before you pay anything. The pricing for paid tiers is reasonable when you actually need volume. - Q: How do I extract structured data from a page? - A: Pass a JSON schema to the scrape endpoint. Firecrawl runs the page through an LLM with the schema, returns structured JSON. Works most of the time. Complex schemas may need a few iterations. - Q: Is the open source version the same as hosted? - A: Same core engine, open source under MIT. Self hosting requires you to manage the infra (browsers, queues, scaling). The hosted version is the convenient option for most teams. **Reviewer:** Othmane Khadri