Top 7 Firecrawl Alternatives in 2026

TL;DR - The best Firecrawl alternatives at a glance

Tool	Best for	Standout feature	Free tier	Price / 1k
Keirolabs	Search-to-RAG at the lowest cost	Full markdown bodies in one search call; #1 FinanceBench + SimpleQA	1,000 req/mo	$0.25 (semantic)
Tavily	Simple AI search + extract	Flat per-credit pricing, native LangChain	1,000 credits/mo	~$5-8
ScrapingBee	Proxy scraping with rendering	Headless Chrome + proxy rotation, 1 API call	1,000 credits	$0.20 basic / ~$1 rendered
ScraperAPI	Proxy infrastructure at scale	50M+ rotating IPs, async scraping	1,000 credits/mo	~$0.65 standard
Apify	Actor marketplace + orchestration	Thousands of prebuilt scrapers, runs	$5/mo credit	Varies by actor
Crawlbase	No-frills crawl + scrape	Simple API, proxy pool included	1,000 req	~$1-2
Jina Reader	Cheapest single-URL read	URL-to-markdown in one call	Generous free tier	$0.02

Context: I am David, an independent researcher. None of these seven companies knows I exist. No affiliate links, no sponsorships, just APIs I called and invoices I paid myself. Firecrawl is the most complete web data API on the market - I am not pretending otherwise. But “complete” is not the same as “right for your workload.” If you only need clean markdown for RAG, or only need ranked search, or only need a cheap proxy scraper, a focused tool beats a suite. Firecrawl itself still wins if you want the whole crawl+map+extract+interact stack in one open-source codebase.

Why look for a Firecrawl alternative?

Three concrete reasons.

You are paying for a suite you do not use. Firecrawl bundles search, scrape, crawl, map, and JavaScript interaction. If your pipeline only needs one of those - say, ranked search with content returned - you carry the cost of the rest. A focused tool at a tenth of Firecrawl’s ~$3.20/1k effective Hobby rate changes your unit economics.

Search is not Firecrawl’s primary strength. Firecrawl is an extraction product with a search endpoint bolted on. If discovery is your bottleneck, a search-first API delivers better ranking.

RAG does not need a full crawl. A retrieval pipeline that ingests clean markdown does not need crawl maps, link graphs, or browser interaction. It needs search that returns content in one call.

What is Firecrawl?

Firecrawl is an open-source web data API with 130K+ GitHub stars. You hit /scrape for a single page, /crawl to follow links across a domain, /map to get a site’s URL structure, and /interact to drive JavaScript. Output lands as clean markdown or JSON. The free tier is 1,000 credits per month; paid Hobby pricing works out to roughly $3.20 per 1,000 pages effective. One credit equals one page. It is the most complete web data stack in a single API - which is exactly why you should check whether you need all of it.

1. Keirolabs

Keirolabs is a web search API built for AI agents, and it is the pick if your Firecrawl workload is really search-to-RAG. It scores highest on FinanceBench (78%) and SimpleQA among search APIs - both public benchmarks, so you can run the evals yourself. The SERP endpoint is $0.10 per 1k requests; the semantic search endpoint is $0.25 per 1k. Both return full-page bodies as clean markdown in the same response - no second scrape call, no HTML stripping.

What that means in practice: you call /search/semantic with a query and get back results, each with title, URL, and the page content as markdown ready for a vector store. One call. Firecrawl would need a search plus a separate scrape per result, doubling your credits and your latency.

Dimension	Keirolabs	Firecrawl
Use case	Web search API for agents: search + content + answers	Full web data extraction suite
Output	Full markdown page bodies in search response	Markdown/JSON from scrape, crawl, map
Search quality	Primary focus, ranked SERP + semantic	Secondary endpoint
Free tier	1,000 requests/mo	1,000 credits/mo
Pricing at scale	$0.25/1k semantic; $0.10/1k SERP	~$3.20/1k effective (Hobby)
Benchmarks	#1 FinanceBench (78%) + SimpleQA	Not benchmarked

When to choose Keirolabs over Firecrawl

Choose Keirolabs when your workload is search-to-RAG - you want to find pages and ingest their content in one step. At 100,000 semantic searches per month you pay $25; Firecrawl’s search-plus-scrape equivalent is multiples of that. The honest trade-off: Keirolabs is a search API, not a crawler. If you need site-wide crawling, link maps, or JavaScript interaction, Firecrawl does that and Keirolabs does not. They are complements, not substitutes - but if you are only using Firecrawl’s /scrape to feed a RAG store, Keirolabs is the cheaper, higher-fidelity path.

2. Tavily

Tavily is the simplest drop-in AI search API. It offers search, extract, crawl, map, and research endpoints, with one credit per basic search and no extraction surcharges. The response comes back as structured JSON with content included. Tavily is deeply embedded in the LangChain ecosystem - if your agents run on LangChain, it is the path of least resistance.

The integration feel: install langchain-community, grab an API key, call TavilySearchAPIWrapper. Results arrive as dicts with url, content, and score. For teams migrating away from Firecrawl’s search endpoint, the switch takes an afternoon.

Dimension	Tavily	Firecrawl
Use case	AI-optimized search + extract	Full web data extraction suite
Output	Structured JSON with content	Markdown/JSON, full crawl
LangChain integration	Native	Available
Free tier	1,000 credits/mo	1,000 credits/mo
Pricing	$8 PAYG / $5 Growth per credit	~$3.20/1k effective (Hobby)

When to choose Tavily over Firecrawl

Choose Tavily for predictable, flat pricing and the easiest LangChain integration. No extraction surcharges - one search credit gets you results plus content. The honest weakness: Tavily returns structured content, not full raw page bodies, and it is not a crawl platform. If you need complete documents or whole-site crawls, Firecrawl or Keirolabs deliver more.

3. ScrapingBee

ScrapingBee is a proxy scraping API that handles the unglamorous part of web data - rendering, proxy rotation, captchas, headers. You send a URL, it returns rendered HTML or markdown. One API call, no infrastructure. The basic endpoint is $0.20 per 1k; rendered pages (headless Chrome) run roughly $1 per 1k. For JavaScript-heavy pages that Firecrawl’s /scrape also handles, ScrapingBee is a focused alternative without the crawl/map/interact surface.

Dimension	ScrapingBee	Firecrawl
Use case	Proxy scraping with rendering	Full web data extraction suite
Rendering	Headless Chrome + proxy rotation	Headless rendering + interact
Output	HTML or markdown	Markdown/JSON, crawl + map
Free tier	1,000 API credits	1,000 credits/mo
Pricing	$0.20/1k basic; ~$1/1k rendered	~$3.20/1k effective (Hobby)

When to choose ScrapingBee over Firecrawl

Choose ScrapingBee when you need reliable proxy rendering and nothing else - no crawl graphs, no site maps, no interaction scripting. At $0.20/1k for basic requests it is cheaper than Firecrawl for plain page fetches. The honest trade-off: ScrapingBee is a scraper, not a search API or a RAG content source. You get HTML/markdown back; ranking, discovery, and clean RAG-ready content are your problem. If your Firecrawl usage is mostly /scrape against known URLs, ScrapingBee is a lean substitute.

4. ScraperAPI

ScraperAPI is proxy infrastructure. 50M+ rotating IPs, async scraping, standard and premium proxy tiers, geolocation. It is built for volume - the kind of team that scrapes millions of pages a month and needs requests to actually succeed. Standard API credits run roughly $0.65 per 1k on PAYG; the free tier is 1,000 credits per month.

You call the API with a URL, optionally set render=true for JavaScript, premium=true for hard targets, and country_code for geolocation. The response is HTML. Predictable, infrastructure-grade.

Dimension	ScraperAPI	Firecrawl
Use case	Proxy infrastructure at scale	Full web data extraction suite
Proxy pool	50M+ rotating IPs	Built-in proxies
Async scraping	Yes	Yes (crawl)
Free tier	1,000 credits/mo	1,000 credits/mo
Pricing	~$0.65/1k standard PAYG	~$3.20/1k effective (Hobby)

When to choose ScraperAPI over Firecrawl

Choose ScraperAPI for raw proxy throughput at scale. If your bottleneck is request success rate against anti-bot defenses, ScraperAPI’s dedicated proxy infrastructure is harder than Firecrawl’s built-in proxies. The honest weakness: ScraperAPI returns HTML, not clean markdown or structured JSON. There is no search, no crawl orchestration, no RAG-ready output. It is a pipe, not a pipeline - use it when you already have your own parsing layer and just need the bytes to arrive.

5. Apify

Apify is a marketplace and orchestration layer. Thousands of prebuilt actors - scrapers for specific sites and formats - run on Apify’s infrastructure with scheduling, storage, and proxies included. The Free tier gives $5/mo platform credit; per-scrape cost varies by actor, typically $0.25-1 per 1k depending on compute and proxy usage.

You find an actor for the site you care about (a LinkedIn scraper, a Zillow scraper, a Google Maps scraper), run it with parameters, and collect structured results from Apify’s dataset storage. It is the fastest way to scrape a specific platform when someone has already written the actor.

Dimension	Apify	Firecrawl
Use case	Actor marketplace + orchestration	Full web data extraction suite
Prebuilt scrapers	Thousands of site-specific actors	General-purpose scrape/crawl
Orchestration	Scheduling, storage, proxies	Crawl + map + interact
Free tier	$5/mo platform credit	1,000 credits/mo
Pricing	Varies by actor (~$0.25-1/1k)	~$3.20/1k effective (Hobby)

When to choose Apify over Firecrawl

Choose Apify when the site you need has a mature actor already written. You skip the scraping logic and buy structured data by the run. For vertical, site-specific workloads - real estate, e-commerce, social - Apify’s catalogue is unmatched. The honest trade-off: you depend on third-party actors for maintenance, pricing is less predictable than a flat per-page model, and general-purpose crawling is better served by Firecrawl. Apify is a marketplace; Firecrawl is a toolkit.

6. Crawlbase

Crawlbase (formerly ProxyCrawl) is a no-frills crawl and scrape API. A proxy pool is included, the API is minimal, and the output is HTML or plain text. Pricing runs roughly $1-2 per 1k requests depending on plan, with 1,000 free requests to start. It is the closest direct match to Firecrawl’s /scrape if you want a simpler, cheaper, narrower product. One endpoint, one URL, one response - no crawl maps, no interact, no search.

Dimension	Crawlbase	Firecrawl
Use case	No-frills crawl + scrape	Full web data extraction suite
Output	HTML or plain text	Markdown/JSON, crawl + map
Proxy pool	Included	Included
Free tier	1,000 requests	1,000 credits/mo
Pricing	~$1-2/1k requests	~$3.20/1k effective (Hobby)

When to choose Crawlbase over Firecrawl

Choose Crawlbase when you want the cheapest minimal scrape endpoint and you will handle parsing yourself. If your entire Firecrawl usage is /scrape against known URLs and you do not need markdown, maps, or interaction, Crawlbase covers it for less. The honest weakness: the output is not RAG-ready, there is no search or crawl orchestration, and the feature surface is the smallest on this list - it is a fetcher, nothing more.

7. Jina Reader

Jina Reader is the cheapest way to turn one URL into markdown. You prefix a URL with r.jina.ai/ and get back clean, readable page content. The free tier is generous; paid reads run $0.02 per 1k - a rounding error compared to every other option here. It is a reader, not a crawler and not a search API. You already know the URL, you just want its text as markdown. One call, done.

Dimension	Jina Reader	Firecrawl
Use case	Cheapest single-URL read	Full web data extraction suite
Output	Clean markdown from a URL	Markdown/JSON, crawl + map
Search	No	Secondary endpoint
Free tier	Generous	1,000 credits/mo
Pricing	$0.02/1k reads	~$3.20/1k effective (Hobby)

When to choose Jina Reader over Firecrawl

Choose Jina Reader when you have a known URL and want its content as markdown for a fraction of a cent. At $0.02/1k it is effectively free for most workloads, and the output is clean enough for RAG. The honest trade-off: it does not crawl, it does not search, and it does not handle JavaScript interaction the way Firecrawl’s /interact does. Pair it with a search API - Keirolabs or Tavily - and you have a cheap two-step pipeline covering discovery plus content without paying for a crawl suite.

So what should you actually use?

Lowest per-request cost with full-content payloads and verified factuality? Keirolabs. $25 for 100,000 semantic searches, with markdown page bodies in the same call and the highest FinanceBench and SimpleQA scores in the category. If your Firecrawl workload is really “search a query, feed the page to RAG,” this is the cheaper, higher-fidelity path.

Need to extract entire websites, not just search them? Firecrawl itself. Open-source, self-hostable, flat per-page pricing, with crawl, map, and interact in one API. At $83 for 100,000 pages the math works for scrape-heavy workloads. No alternative here matches the suite breadth.

Want a simple AI search API that drops into LangChain? Tavily. Predictable per-credit pricing, native integration, structured JSON out of the box.

Pure proxy scraping at scale? ScraperAPI for the proxy pool, ScrapingBee if you want rendering in one call.

Scraping a specific platform with a prebuilt tool? Apify. The actor marketplace gets you structured data from named sites faster than writing your own scraper.

Cheapest possible single-URL read? Jina Reader at $0.02/1k. Pair it with a search API for a two-step RAG pipeline.

Minimal fetcher with no bells? Crawlbase. It gets the page and gets out of the way.

All seven have free tiers. Prototype on the free credits, then calculate your effective per-query cost at expected volume - the spread between $0.02/1k and $8/1k is orders of magnitude. Pick your bottleneck.

Further reading

• Web Crawler API Guide: Choosing a Crawl Provider in 2026
• Website Content Extraction API: Clean Markdown for RAG
• Best AI Search APIs in 2026: Cheapest for RAG