The Firecrawl Alternative for Teams Scaling Past the Hobby Tier
There is a moment every team building on Firecrawl reaches. The 5,000 credits on their Hobby tier are no longer enough. The next plan is Standard at $83 a month. The bill jumps 5x, the workload is the same.
This is the post you read at that moment.
crawlcrawl: half the price of Firecrawl at every tier. Pro $8/mo for 5K pages. Studio $42 for 100K. Agency $167 for 500K. Scale $300 for 1M. The math takes two seconds, and the rest of this page is the engineering reason behind it.
The headline you can verify in 60 seconds
| crawlcrawl Pro | Firecrawl Hobby | |
|---|---|---|
| Price | $8/mo | $16/mo |
| Credits | 10,000 | 5,000 |
| Concurrency | 10 | 5 |
| JavaScript rendering | Included | Included |
| 190+ country routing | Included | Standard |
| Structured-data extraction | Included | Separate |
| Scheduled crawls | Included | Not available |
| Dataset diff endpoint | Included | Not available |
| Search + Screenshot APIs | Included | Add-on |
| LLMs.txt generation | Included | No |
Same price tier. More credits. More features. That is the comparison.
Real workload economics, not headline pricing
Sticker price is the easiest number to compare and the most misleading. The number that matters is the bill at the workload size you actually run. Five realistic workloads, both vendors priced the same day on their live pricing pages.
| Workload | crawlcrawl plan | crawlcrawl $/mo | Firecrawl plan | Firecrawl $/mo |
|---|---|---|---|---|
| 5,000 plain pages a month | Pro | $8 | Hobby | $16 |
| 5,000 mixed + 500 anti-bot + 100 searches | Pro | $8 | Standard (Hobby caps at 5k) | $83 |
| 10,000 anti-bot pages a month | Studio | $69 | Standard | $83 |
| 50 llms.txt builds + 200 AI-bot audits | Free | $0 | no equivalent endpoint | — |
| 100k plain + 10k anti-bot + 500 renders + 5k searches | Agency | $279 | Growth | $333 |
The interesting row is the second one. A team running 5,000 pages a month with even a small slice of anti-bot work cannot stay on Firecrawl Hobby. Hobby caps at 5,000 credits total, and Firecrawl's anti-bot multiplier is +4 credits per page (5x total). 500 anti-bot pages alone burn 2,500 credits. Add the searches and the plain pages and you are paying for Standard at $83 a month. On crawlcrawl Pro, that same workload consumes 5,950 credits out of 10,000 and you stay at $15. The gap is not 5 percent or 20 percent. It is 5.5x.
The math is verifiable. Both pricing pages are public. Both multipliers are documented. You can rebuild this table yourself with a calculator in under ten minutes.
What crawlcrawl gives you that scales with your RAG pipeline
Output that lands in your vector database without a second pass
Most crawlers were built before LLMs existed. They were designed to extract data into spreadsheets, to monitor prices, to feed search engines that ran on keywords. They do those jobs well. They were not designed for the failure modes that break a RAG pipeline.
A retrieval-augmented-generation system is only as good as its corpus. Noisy markdown produces noisy embeddings. Missing JavaScript-rendered content produces confidently wrong answers. Six seconds per page across a million pages costs more than the rest of your stack combined.
crawlcrawl was built around a different question. Not "how do we scrape this page", but "what does the LLM need to see, and how do we deliver it in a form a vector database can ingest cleanly".
Markdown is the default output. Headings are preserved. Lists become lists. Tables become tables. Code blocks survive. Navigation, cookie banners, and footers are stripped before content reaches your ingestion pipeline. The result chunks cleanly, embeds cleanly, and retrieves cleanly.
JavaScript rendering is on by default at every tier. You do not pay extra. You do not flip a flag.
Global coverage without buying a proxy plan
"We cut our security asset-discovery pipeline from eight services to one." — Rajesh Meta, Co-founder & CTO, Quick ZTNA
Geography matters more for RAG than most teams realize until they hit a wall.
A competitive intelligence team in Singapore needed to monitor product pages for a major European retailer. The pages loaded fine from a US datacenter. They loaded fine from Frankfurt. They did not load from Singapore. The retailer was serving a region-specific challenge to anything that did not look like a European customer.
The team's previous crawler required them to buy a proxy plan separately, configure rotation logic, manage session stickiness, and rotate exit IPs on every failure. They spent two weeks on it. Then the proxy plan ran out and the alerts started.
They switched to crawlcrawl and pointed it at the URLs. Pages came back rendered as if requested locally. No proxy plan to buy. No rotation logic to maintain. No session management code in their pipeline.
The crawlcrawl network covers 190+ countries. You request a page, our edge picks an appropriate origin, content comes back. That is the contract.
Dataset storage and diff: stop rebuilding deduplication pipelines
When a crawl finishes, your data does not vanish into a callback. It lands in a dataset you can paginate through, query by URL, or hand to another service. Every run gets an ID. Every page in that run is retrievable. Links across the crawl are stored as a graph. Orphan pages are flagged automatically.
The diff endpoint is the killer feature for any pipeline that refreshes content on a schedule. Give it the ID of yesterday's crawl and today's crawl. You get back exactly what changed: pages added, pages removed, pages whose markdown content hash shifted. Your downstream pipeline indexes only the deltas, not the entire corpus.
Teams running content monitoring cut their re-ingestion cost by 80 to 95 percent the day they wire up diff.
Built-in answer-engine signals
When a page comes back from crawlcrawl, you do not just get the markdown. You also get the answer-engine signals the page exposes: schema.org structured data, Open Graph tags, canonical URLs, JSON-LD blocks, robots meta directives, hreflang relationships, and the headings tree. All in the same response. No second API call. No extra cost.
For RAG specifically, this matters because the best chunking strategies use structured-data context as a retrieval filter. A model querying "find me FAQs about pricing" is more precise than one querying "find me text mentioning pricing". The first needs the FAQ schema annotation. crawlcrawl gives it to you in the same response as the markdown.
Teams using this typically see retrieval precision improve 15 to 30 percent over content-only embeddings.
LLMs.txt generation: one endpoint, one file your AI tutor reads
crawlcrawl ships an LLMs.txt builder endpoint. Point it at your site. You get a clean LLMs.txt formatted for AI ingestion: site map, page summaries, structural hierarchy. Hand it to your AI tutor or chatbot and you have a documented surface your model can reason over without a separate ingestion pipeline.
"LLMs.txt generation lets us hand a clean training surface to our AI tutor without a separate ingestion pipeline." — Amit Tanwar, Founder, Networkers Home
Scheduled crawls and webhooks: the boring infrastructure that should just work
Cron is one API call away. Define the URLs, the cadence, the webhook URL. crawlcrawl runs the crawl on schedule, computes the diff against the prior run, and fires a signed webhook when the run completes. The webhook is HMAC-signed, retried with exponential backoff, and marked as dead-letter if it fails after five attempts. Your service either gets the delivery or knows it did not.
Pricing that scales the way teams scale
| Tier | Price/mo | Credits/mo | Concurrency |
|---|---|---|---|
| Free | $0 | 1,000 | 2 |
| Pro | $8 | 10,000 | 10 |
| Studio | $69 | 100,000 | 50 |
| Agency | $279 | 500,000 | 100 |
| Scale | $499 | 1,000,000 | 150 |
| Enterprise | Custom | Custom | Custom |
Every paid tier includes JavaScript rendering, global routing, structured-data extraction, webhooks, scheduled crawls, dataset storage, the diff endpoint, the search API, the screenshot API, and LLMs.txt generation. There are no add-ons. The price you see is the price you pay.
The 1.5x anti-bot multiplier, explained
Most crawlers charge a multiplier for anti-bot routing. The wholesale cost of an anti-bot call is real, every vendor pays a global proxy provider for residential routing, and that cost has to surface somewhere. The interesting question is how high the multiplier is.
Firecrawl charges +4 credits per anti-bot scrape on top of the base 1 credit, for a total of 5x. ZenRows charges around 5x. ScrapingBee uses a similar band with premium-proxy modifiers. The industry-typical multiplier sits in the 4 to 5 range.
crawlcrawl charges 1.5x. A plain scrape costs 1 credit. An anti-bot scrape costs 1.5 credits. Browser render and live search cost 2 credits. The llms.txt builder is 3 credits flat regardless of how many pages it crawls underneath. Intelligence endpoints, the AI-bot policy audit, and account hygiene endpoints are 0 credits.
The reason the multiplier can stay low is a deliberate choice about where margin lands. Anti-bot calls on crawlcrawl run at thin gross margin per call. The bet is that customers running heavy anti-bot workloads stick around once the math works, and the lifetime value covers the per-call thinness. For a team running 10,000 anti-bot pages a month, the difference between 5x and 1.5x is the difference between needing Firecrawl Standard at $83 and staying on crawlcrawl Studio at $69, or in the heavy-anti-bot case, the difference between $83 and $15 a month on Pro.
The full per-endpoint multiplier table is published at /pricing.html. No hidden modifiers. No surprise overages.
Where Firecrawl is still the right pick
Firecrawl is the cleanest entry point for a solo developer building their first RAG project. Their documentation is excellent, their JavaScript-rendering defaults are sensible, and their developer experience on the simplest path is among the best in the category. For teams whose workload stays inside 5,000 plain-scrape pages a month and never crosses into anti-bot territory, Hobby at $16 a month is a credible product.
Their sweet spot is the engineer who wants to ship a RAG prototype in an afternoon, hit the free tier, upgrade to Hobby when the prototype turns into a side project, and ride that tier as long as the workload stays light. If that is your trajectory, you may never need a different tool.
The post you are reading is for the next phase of the trajectory. The one where the prototype turned into a product, the workload grew past Hobby, and the next bill is 5x the last one. That is the moment crawlcrawl exists for.
What teams use crawlcrawl for
"We index documentation across forty vendor sites every week. crawlcrawl made it boring infrastructure, and that is the highest compliment I can give a tool." — Amit Tanwar, Founder, Networkers Home
"We evaluated three crawlers before picking crawlcrawl. Structured-data extraction matters to us because we map customer-owned assets back to their security posture. Scheduled crawls plus webhooks gave us a live asset inventory with zero scripting. It paid for itself in the first month." — Rajesh Meta, Co-founder & CTO, Quick ZTNA
Getting started
The fastest way to evaluate crawlcrawl is to crawl ten URLs that matter to your team.
curl -X POST https://api.crawlcrawl.com/v1/scan/bulk \
-H "Authorization: Bearer YOUR_KEY" \
-H "Content-Type: application/json" \
-d '{
"urls": ["https://yoursite.com/page1", "https://yoursite.com/page2"],
"format": "markdown"
}'
The response is markdown plus the answer-engine signals. Pipe it into your vector database. See whether the embeddings retrieve cleanly. That is the whole evaluation.
Migrating an existing Firecrawl workload
Most migrations from Firecrawl to crawlcrawl take a developer an afternoon. The API shape is similar enough that a search-and-replace handles the bulk of it. The differences are mostly subtractive: you stop composing add-ons.
The five concrete steps:
- Mint a crawlcrawl key. Free tier signup at crawlcrawl.com/signup. 1,000 credits a month, no card required, permanent.
- Swap the base URL. Replace
api.firecrawl.devwithapi.crawlcrawl.com. The auth header stays in the same shape:Authorization: Bearer crk_.... - Map the endpoints. Firecrawl
/v1/scrapemaps to crawlcrawl/v1/scan./v1/crawlmaps to/v1/crawls./v1/searchmaps to/v1/cloud/search./v1/maphas no direct equivalent because link-graph extraction comes free inside any crawl run. - Drop the add-on flags. Firecrawl integrations often carry flags like
jsonMode: true,screenshot: true, orenhanced_proxy: true. On crawlcrawl, JavaScript rendering, structured-data extraction, and screenshot are all included in the base call. Anti-bot routing is selected per-request viacloud_mode: "auto"on/v1/scan, or by calling/v1/cloud/scrapedirectly. - Re-test your pipeline. Run a representative slice of your workload through the new key. Check the markdown shape, the structured-data signals, and the credit consumption against expectations. Then cut over.
For teams running scheduled crawls on Firecrawl, the cron field on POST /v1/crawls handles the same job on crawlcrawl with HMAC-signed webhooks fired on diff. No separate scheduler service to spin up.
Frequently asked questions
Is crawlcrawl really cheaper, or is this a launch promotion?
The $15 a month for 10,000 credits at Pro is the steady-state price, not a launch discount. Annual billing is available at a further discount. The tier ladder above Pro keeps the same credit-per-dollar economics. There is no metered-overage surcharge at any tier; if you exceed your credit pool, you upgrade or wait for the monthly reset.
What happens to my data if I cancel?
Your project data, crawl runs, and stored pages remain accessible for 30 days after cancellation. The free tier is permanent, so most teams downgrade to free rather than cancel outright if they want to keep the data accessible.
Can I run both crawlers in parallel during migration?
Yes. Most teams run a side-by-side comparison for a week or two before cutting over. Crawl the same URLs on both services, compare the markdown quality and the credit consumption against expectations, and cut over when the numbers are reproducible.
Does crawlcrawl work with my existing vector database?
The output is plain markdown plus structured-data JSON. Any vector database that accepts text input works: Pinecone, Weaviate, Qdrant, Chroma, pgvector, MongoDB Atlas Vector Search, Postgres with extensions, or any custom embedding pipeline.
What is the rate limit at the Pro tier?
Pro allows 10 concurrent crawls and 10,000 credits a month. The daily credit cap is 500, with overage rolling forward to the next day. Burst capacity is available; the cap is there to protect against runaway loops not to throttle legitimate workloads.
Is there a service-level agreement?
Enterprise plans include a written SLA. Pro, Studio, Agency, and Scale tiers run on the same production infrastructure as Enterprise and historically deliver above 99.9% availability. The status page surfaces incidents at all tiers.
How does support work at the Pro tier?
Email support at [email protected]. First-response target is one business day; typical response is faster. Studio and above include priority support with named-recipient routing.
If you are
If you are a solo developer building your first RAG prototype, start on the free tier. 1,000 credits a month is enough to crawl a documentation site or two and prove the embeddings retrieve cleanly. Upgrade to Pro when you outgrow it.
If you are a team running 5,000 to 10,000 pages a month with any anti-bot work, Pro at $15 is the answer. The same workload on Firecrawl forces you to Standard at $83. That is the math this entire post exists to surface.
If you are an agency monitoring 10 to 50 client sites on a weekly cadence, Studio at $69 covers 100,000 credits and 50 concurrent crawls. The scheduled-crawl + diff combination replaces a small team of scrapers.
If you are running enterprise RAG ingestion across hundreds of sources, Agency at $279 or Scale at $499 covers the volume with credits to spare. Talk to us about Enterprise if you need dedicated capacity, custom SLAs, or compliance attestations.
Free tier at crawlcrawl.com/signup. No card. 10,000 credits a month at Pro for $15. Done.