Firecrawl vs ScrapingBee
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
The short answer
Both sides assessedFirecrawl compared with ScrapingBee
ScrapingBee is the closer traditional competitor: a scraping API with proxy rotation and JavaScript rendering, priced per request and aimed at developers who want HTML back. Firecrawl aims one layer higher, at agent-ready markdown, schema extraction, and index-backed retrieval. Teams building a classic data pipeline that parses HTML themselves often prefer ScrapingBee's predictability; teams feeding an LLM prefer Firecrawl's output format.
ScrapingBee compared with Firecrawl
Firecrawl is aimed squarely at LLM ingestion: crawl a whole site, get clean markdown, with crawl orchestration built in. ScrapingBee is a per-URL fetcher whose markdown mode covers the same ground for single pages but leaves the crawl loop to you. Firecrawl is the better default when the job is 'ingest this documentation site into a knowledge base'; ScrapingBee is better when the job is targeted extraction from defended pages where proxy quality decides success.
Choose Firecrawl if
Technical go-to-market operators, founders, and small engineering teams who need reliable web content as an input to AI workflows: lead research, competitor and pricing monitoring, account enrichment, RAG ingestion, and agent tooling, where writing a few dozen lines of code is acceptable and reliability at scale matters more than a visual builder.
Choose ScrapingBee if
Developers and go-to-market engineers who need reliable page fetching as a component inside their own pipeline: a growth team enriching accounts, a pricing analyst monitoring competitors, an agency building a lead-sourcing script, or an AI product that needs fresh web content on demand.
Side by side
13 attributes| Attribute | Firecrawl | ScrapingBee |
|---|---|---|
| Category | GTM Engineering | GTM Engineering |
| Starting price | Free (1,000 credits per month); paid plans from about $16 per month billed annually (about $19 billed monthly) (free plan available) | $19.99 per month (Hobby, 75,000 credits, 25 concurrent requests) (free trial) |
| Pricing model | Credit-based monthly subscription. Every plan carries a credit allowance; a standard scrape costs one credit, crawled pages and heavier modes cost more, and enhanced or stealth proxy requests cost a multiple of a standard request. Extract additionally consumes tokens. Plans also differ on requests per minute and on concurrent browsers, which is often the binding constraint before credits are. Annual billing is materially cheaper than monthly. | Credit-based subscription. Every plan is a monthly credit allowance plus a concurrency limit, and each request deducts credits according to the options enabled: one credit for a plain fetch, five with JavaScript rendering, ten for a premium proxy alone, twenty-five for premium proxy plus rendering, and seventy-five for stealth proxy. All features are available on every paid tier; higher tiers buy volume, concurrency, and support, not capability. |
| Free plan | 1,000 credits per month, 2 concurrent browsers, low rate limits (10 scrape requests per minute) | No |
| Free trial | Free plan with 1,000 credits, no credit card required | 1,000 free API credits, no credit card required |
| Best for | Technical go-to-market operators, founders, and small engineering teams who need reliable web content as an input to AI workflows: lead research, competitor and pricing monitoring, account enrichment, RAG ingestion, and agent tooling, where writing a few dozen lines of code is acceptable and reliability at scale matters more than a visual builder. | Developers and go-to-market engineers who need reliable page fetching as a component inside their own pipeline: a growth team enriching accounts, a pricing analyst monitoring competitors, an agency building a lead-sourcing script, or an AI product that needs fresh web content on demand. |
| Setup time | Minutes for the first call: sign up, copy the API key, install an SDK, and scrape a page. A production pipeline with error handling, credit budgeting, and scheduling is a day or two of engineering. Installing the MCP server into an agent client takes a single command. | Minutes. Sign up, copy the API key, and change the URL in an existing HTTP call. Getting a difficult target working reliably takes longer, usually an hour or two of tuning render options, wait conditions, and proxy level against real responses. |
| Learning curve | Low for the endpoints themselves, which are deliberately few and well documented. The real learning is economic: understanding which calls cost multiples, when to use map before crawl, when a cached snapshot via maxAge is acceptable, and how to cap jobs so a discovery blowout does not consume the month's allowance. | Low for a developer and impassable for anyone else. The parameter set is small and well documented; the real skill is cost discipline, knowing when a page genuinely needs rendering or a residential IP rather than defaulting to the expensive configuration everywhere. |
| Platforms | REST API, Python, Node.js, Go, Rust, Java, Elixir, Ruby, PHP, and .NET SDKs, CLI, MCP server for Claude, Cursor, Windsurf, and other agent clients, Self-hosted via Docker Compose or Kubernetes | REST API over HTTPS, Official SDKs: Python, Node.js, PHP, Ruby, Go, Java, Command-line client, MCP server for AI agents, Make, n8n, and Zapier connectors |
| Compliance | SOC 2 Type II, GDPR, DPA available | GDPR |
| Founded | 2022 | 2019 |
| Headquarters | San Francisco, California | France |
| Ownership | Independent, venture-backed | Acquired by Oxylabs (June 2025) |
Strengths and limitations
Firecrawl
Strengths
- Output is genuinely LLM-ready: clean markdown with the navigation and boilerplate stripped, not raw HTML you have to post-process.
- One coherent API covers scrape, crawl, map, search, extract, parse, interact, and monitor, so a pipeline does not need four vendors.
- The hard infrastructure problems (JavaScript rendering, proxy rotation, anti-bot escalation, PDF and spreadsheet parsing) are handled without configuration.
- Open source under AGPL-3.0 and self-hostable, which is a real answer for teams with data residency or compliance constraints.
Limitations
- Credits expire monthly with no rollover, so bursty workloads either overpay for headroom or hit the ceiling mid-job.
- Credit consumption is hard to predict: stealth or enhanced proxy requests bill at a multiple, crawled pages cost more than simple scrapes, and extract adds token cost on top.
- Failed or timed-out requests can still be billed, which inflates spend noticeably on unreliable target sites.
- An uncapped crawl bills for every page discovered, and the discovery count on a large site is routinely several times what people expect.
ScrapingBee
Strengths
- One endpoint replaces the three hardest pieces of a scraping stack: proxy rotation, headless browsers, and anti-bot handling.
- Billing only on successful responses, which removes the worst cost surprise in the category.
- Documentation and error messages are unusually clear, and the API is small enough to learn in an afternoon.
- Every feature is available on the cheapest paid plan; higher tiers buy volume and support rather than unlocking capability.
Limitations
- The credit multipliers make effective cost hard to forecast. A workload that quietly shifts from rendered to stealth requests multiplies its bill by fifteen with no change to the code except one boolean.
- Credits expire monthly with no rollover, which penalizes bursty and seasonal scraping directly.
- It is a fetch API only: no scheduler, no hosted storage, no dataset browser, no visual builder, so a non-developer cannot use it at all.
- Concurrency limits are tied to plan tier, so a large backfill on a low plan is throughput-bound even when credits are available.
Pricing compared
Firecrawl
Credit-based monthly subscription. Every plan carries a credit allowance; a standard scrape costs one credit, crawled pages and heavier modes cost more, and enhanced or stealth proxy requests cost a multiple of a standard request. Extract additionally consumes tokens. Plans also differ on requests per minute and on concurrent browsers, which is often the binding constraint before credits are. Annual billing is materially cheaper than monthly.
- Free$0
- HobbyAbout $16
- StandardAbout $83
- GrowthAbout $333
- ScaleAbout $599
- EnterpriseCustom
Measured against building and maintaining your own scraping stack, Firecrawl is cheap. Proxies, headless browsers, anti-bot handling, PDF parsing, and retry logic are a persistent engineering cost, and the Standard plan buys 100,000 pages a month for less than a single seat of most sales tools. Measured against a raw proxy vendor at very high volume it is not the cheapest per request, and measured against a point-and-click scraper it demands code. The honest caution is variance: the headline credit numbers describe simple scrapes, while the workloads go-to-market teams actually run (extract with schemas, blocked sites needing stealth proxies, crawls that discover more pages than expected) consume several times more. Budget on observed spend after a week of real jobs, not on the pricing page arithmetic.
ScrapingBee
Credit-based subscription. Every plan is a monthly credit allowance plus a concurrency limit, and each request deducts credits according to the options enabled: one credit for a plain fetch, five with JavaScript rendering, ten for a premium proxy alone, twenty-five for premium proxy plus rendering, and seventy-five for stealth proxy. All features are available on every paid tier; higher tiers buy volume, concurrency, and support, not capability.
- Free trial$0
- Hobby$19.99
- Freelance$49.99
- Startup$99.99
- Business$249.99
- EnterpriseFrom $999.99
Judged against the alternative of running your own proxy contract plus a Playwright fleet, ScrapingBee is cheap: the Freelance plan costs less per month than a couple of hours of the engineer who would otherwise be maintaining browser infrastructure. Judged against raw bandwidth-priced proxy networks, it is expensive, because you are paying per request for rendering you may not need. The honest rule is that ScrapingBee wins when a meaningful share of your targets need a real browser or residential IPs, and loses when they do not. The successful-requests-only billing and the published enterprise pricing both improve the deal relative to competitors who bill every attempt and hide the top of the range.
Editorial verdict on each
Firecrawl
Firecrawl is the closest thing the current market has to a default web data layer for AI workflows, and for a small go-to-market team it is one of the better value purchases in this category: a free tier that is genuinely useful, a Standard plan that buys 100,000 pages for less than a single seat of most sales software, and output clean enough to hand straight to a model. It is infrastructure rather than an application, so the honest prerequisite is that someone will write code or wire it into a workflow tool; there is no point-and-click builder and there never was meant to be. The things to watch before committing are economic rather than technical: credits expire monthly with no rollover, an uncapped crawl bills for every page it finds, blocked sites escalate to proxy modes costing several times a normal request, and rate limits rather than credit balance are usually what makes a big job slow. Size your plan on a week of observed spend, cap every job, and it earns its place. Skip it if what you actually wanted was a finished dataset with no code anywhere in the chain.
Read the full Firecrawl profileScrapingBee
ScrapingBee is the sensible default for a developer who needs web pages to come back reliably and does not want to run proxy contracts and a browser farm to get them. Its virtues are unglamorous and durable: a small API, honest documentation, billing only on successful responses, and published prices from $19.99 all the way to the top of the enterprise range, which almost nobody else in web data does. The costs it will impose on you are equally predictable. Credit multipliers mean the same code can cost fifteen times more depending on one boolean, credits expire monthly, and the product deliberately stops at fetching, so scheduling, storage, and orchestration remain yours. The Oxylabs acquisition in 2025 has so far been benign, but it does mean the roadmap now belongs to a proxy company rather than to two founders. Buy it as a component, size the plan against your real mix of rendered and stealth requests rather than the headline credit count, and keep a visual tool in mind if anyone non-technical ever needs to run a job.
Read the full ScrapingBee profileFirecrawl profile last reviewed 2026-08-23; ScrapingBee last reviewed 2026-08-23. Pricing is compiled from public sources and can change without notice. See our methodology.