TheCrawler: a Firecrawl alternative that doesn't meter AI extraction

TheCrawler runs the extraction LLM on its own GPU, so structured AI extraction costs the same as a plain scrape — unlike Firecrawl, which charges additional credits for AI extraction.

Firecrawl vs TheCrawler — at a glance

CapabilityFirecrawlTheCrawler
Base page scrape → markdownYesYes
AI / structured extraction billingAdditional credits for AI extraction (their words)Same as a plain scrape — no per-call AI surcharge
Validated extraction contractsFreeform schemaTyped + required-field validated
Pre-flight readiness / cost guard (/diagnose)NoneYes — scores extractability before you spend
Extract-once, emit-all (one call)Per-formatOne call → markdown + tables + structured + contacts
Charged for failed / empty extractionsYesNo — credits refunded
Branding / design-system extractionRicher (fonts + typography + spacing)Palette + logo (no-LLM)
Async batch / crawl jobs + webhooksYes, matureYes — /v1/batch + signed completion webhooks
Web search → scrape + change-monitoring/search; no native monitoring/v1/search + /v1/monitoring (webhook on change)
MCP serverOfficialstdio today (Claude / Cursor); remote on roadmap
Self-host the extraction LLMSelf-host optionRuns on our own GPU (multi-million-record scale); open engine

We don't print a Firecrawl price here — their pricing changes and we won't assert a number we can't cite. Use the calculator below with your own figures.

The real difference: who pays for the GPU

Most web-data APIs meter the AI-extraction step because their marginal cost is a per-call OpenAI or Anthropic bill — so they have to pass it through. That's why structured extraction shows up as additional credits on top of the scrape.

TheCrawler runs the extraction model on a GPU we already own. The marginal cost of one more extraction is electricity, not an API invoice — so we don't add a per-call surcharge for it. That's not "AI is free" (there's real capex, power, and ops behind the box); it's that AI extraction is priced like a plain scrape instead of metered per call. It's a cost structure a metered provider can't match without changing their own.

On quality: extraction is page-grounded by default — every value must trace to the exact page text the model saw, or it comes back null. On our trap-field evals: 0 invented fields in the original 29-page run, and 1 in 34 on a harder extended run. That's an eval we keep expanding, not a proof — and failed or empty extractions are auto-refunded.

Estimate your AI-extraction surcharge

What does the AI-extraction surcharge cost you?

Enter your own numbers — we don't guess your provider's price. This shows only the per-call AI-extraction surcharge, the part TheCrawler doesn't charge because the extraction model runs on our own GPU.

Your metered AI surcharge
/mo
enter your numbers above
TheCrawler AI surcharge
$0.00/mo
AI extraction included in the page fee

Figures use the price youentered; TheCrawler still bills per page (AI included) and we don't charge for failed or empty extractions. This is a marginal-cost comparison of the AI surcharge, not total spend.

Where Firecrawl wins (honestly)

A comparison that only flatters itself isn't worth reading. Firecrawl is ahead on several things, and if they're your priority it's the better choice:

  • A richer branding / design-system format (fonts, typography, spacing, components).
  • Mature async batch & crawl job infrastructure with webhooks.
  • Stealth and geo proxy tiers.
  • A semantic index / cache layer and an agent endpoint.
  • A bigger ecosystem and far more distribution today.

TheCrawler's edge is narrow and specific: cost-predictable, validated, cost-guarded structured extraction with no per-call AI surcharge.

Migrate in a few lines

One endpoint to scrape a page to markdown — swap the base URL and your key:

curl -X POST https://www.miaibot.ai/api/v1/scrape \
  -H "Authorization: Bearer $CRAWLER_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "url": "https://example.com", "markdown": true, "metadata": true }'

Structured extraction on our managed GPU is the async /v1/extract endpoint — same auth, AI included.

See also: Tavily alternative and Firecrawl vs Tavily vs TheCrawler.

FAQ

Is there a cheaper Firecrawl alternative for AI extraction?

TheCrawler doesn't add a per-call surcharge for AI extraction — it runs the model on our own GPU, so structured extraction is billed like a plain page fetch. Use the calculator above with your own numbers to see what the per-call surcharge currently costs you.

Does TheCrawler charge per credit for structured extraction?

No separate per-extraction charge. You pay per page; AI extraction is included on every page. We also don't charge for fetch failures, empty pages, or extractions our guards reject — those credits are returned.

Can I self-host the model like a self-hosted Firecrawl setup?

The extraction runs on our own on-prem GPU, and the crawl engine is open source. You can also bring your own OpenAI-compatible LLM endpoint and run extraction synchronously against it.

Does TheCrawler have an MCP server?

Yes — a stdio MCP server that works in Claude Code and Cursor today. A hosted/remote MCP is on the roadmap, not shipped yet.

What does Firecrawl do better?

Firecrawl has a richer branding/design-system format (fonts, typography, spacing), mature async batch/crawl infrastructure with webhooks, stealth/geo proxy tiers, a semantic index cache, an agent endpoint, and a larger ecosystem and distribution today. If those are your priority, Firecrawl is the stronger pick.