Firecrawl alternative that cuts the token bill: CrawlGenie

Firecrawl is a hosted web-data API (scrape, crawl, search, agent) billed in credits per page. CrawlGenie is a token-saving platform for AI agents: browser, documents, agents and memory behind one key, built around reading less: passages instead of pages, receipts instead of claims, your own agent identity instead of a vendor's.

By CrawlGenie teamPublished 2026-10-12Updated 2026-10-13Facts from Firecrawl's public pages and changelog, Oct 2026

What is the difference between Firecrawl and CrawlGenie?

Both turn web pages into model-ready text. Firecrawl's answer to cost is a model-written "Question" format and hosted indexes; CrawlGenie's answer is deterministic retrieval you can audit: BM25 passages with exact token counts, sentence-level highlights, caches that never go to the network, and a knowledge base on your disk. Firecrawl's cloud adds proxies and anti-bot escalation; CrawlGenie does not sell evasion and instead ships signed agent identity (Web Bot Auth) plus honest "needs proxy" labels.

Capability	Firecrawl	CrawlGenie
Hosting	Hosted; partial self-host (AGPL core)	Hosted plans; private deployment on the enterprise plan
Pricing model	Credits per page (1–5+ per scrape), browser minutes, per-index fees	Flat plans ($0 / $29 / $99), no per-page credits, no token markup
Reading less	Question and Highlights formats ("up to 100× fewer tokens", model-assisted)	q= passages and sentence highlights, BM25, exact token receipt on every answer
Documents	/parse up to 50 MB: PDF (text/OCR), DOCX, XLSX, ODT, RTF	PDF (text/OCR, page ranges, table rows), DOCX, XLSX, PPTX, ODT, RTF, images, Google Docs/Sheets/Slides links, YouTube captions
Monitoring	/monitor by URL; web-scale monitor by query	Watches on any extractor or page; search_watch; datasets and webhooks; zero model tokens
Structured data without a model	No (extract uses a model)	61 extractors by vertical, CSV/JSON, no key
Live browser sessions	Browser Sandbox (per minute), /interact	Sessions with ranked snapshots, approvals, secrets vault, rewind, live takeover, routines
Knowledge / memory	Hosted indexes (Alexandria, Research, Developer)	Your own collections: pages, documents, crawls; FTS5 BM25; inspectable
Identity vs evasion	Proxy and anti-bot escalation in the cloud	Signed agent identity (Web Bot Auth); honest proxy labels; no CAPTCHA solving
Chat connectors	Firecrawl plugin / Alexandria in ChatGPT and Claude	OAuth 2.1 connector for ChatGPT and claude.ai; savings reported per connector

Why do agents spend so many tokens on the web?

Three patterns: tools paste whole pages into context (a Playwright repository page is 175,436 HTML tokens), every step re-reads the page even when nothing changed, and the same page is read again every day. CrawlGenie addresses each: ranked snapshots and deltas, passages for one question, and watches that remember what they saw. The measured result on an 18-step task was 95,279 tokens against 2,163,834 for HTML.

When should you stay with Firecrawl?

Stay with Firecrawl if you need its hosted research and developer indexes, or depend on its proxy and anti-bot escalation for sites that block datacenter IPs and you do not want to bring your own proxy.

How do I migrate?

Most Firecrawl calls map one-to-one. /scrape → POST /v1/scrape (add q for passages, granularity: "sentence" for highlights, cache: "prefer" for lockdown-style serving); /crawl → POST /v1/crawl with /answer and /export; /search → GET /v1/search?content=true; /parse → POST /v1/parse; /monitor → watches (change_monitor, search_watch, any extractor); /extract → POST /v1/extract with your own model key. The MCP server at /mcp replaces the Firecrawl MCP for Claude Code, Cursor and ChatGPT.

For developers: the exact call

# Firecrawl
POST https://api.firecrawl.dev/v2/scrape {"url": "...", "formats": ["markdown"]}

# CrawlGenie (your server)
POST https://your-vessel/v1/scrape {"url": "...", "q": "refund policy", "granularity": "sentence"}
→ content (only the matching sentences) · focus.tokensFull 27,611 · focus.tokensFocused 1,493

Try the numbers

What would this save you?

Move the sliders. The saving is computed from the measured ratios above and the model price you pick.

Web or document reads per day 500 Average tokens per page today 12,000 Model price per million tokens $3 Share handled by CrawlGenie 80%

Tokens per month today—

Tokens per month with CrawlGenie—

Saved per month—

today

with CrawlGenie

Assumes 10% of the page is kept per read (measured range 5–15%). Receipts in the product show the real number for your traffic.

FAQ

Questions people ask

Is Firecrawl open source?

Its core is AGPL-3.0 and can be self-hosted, but proxies, the dashboard and bot-protection features are cloud-only. CrawlGenie is a hosted platform with a private-deployment option for enterprises.

Does CrawlGenie have a Firecrawl-compatible API?

Not a drop-in clone; the endpoints map one-to-one (scrape, crawl, search, parse, extract, monitor) with different option names, and the MCP tools replace the Firecrawl MCP for Claude Code, Cursor and ChatGPT.

Which is cheaper?

Per answer, question-focused reading sends 5–15% of the page to your model, and 61 agents cost zero model tokens; plans are flat with no per-page credits. The receipt on each response lets you verify the number instead of trusting a marketing multiple.

Can CrawlGenie get past Cloudflare like Firecrawl's cloud?

No product reliably can without residential proxies and challenge solving, which CrawlGenie does not sell. It detects challenges, labels extractors that need a proxy, lets you bring your own, and signs requests so supporting sites can allow your agent explicitly.

Spend tokens on answers, not on pages.

Create a workspace in a minute. Connect ChatGPT, Claude, Cursor or your own agents. Every answer comes with a token receipt.

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