Firecrawl vs Anycrawl vs Crawlee vs Playwright (2026)
Four scraping tools, four very different shapes. Firecrawl and Anycrawl are hosted APIs that hand you clean markdown with no code; Crawlee is an open-source framework you write your own crawlers in; Playwright is browser automation that doubles as a scraper when you need to click, log in, or wait for JavaScript. Pick by what you’re scraping and how much you want to maintain — not by feature checklist.
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TL;DR + decision tree
- If you want clean markdown from a public URL, fast, with zero setup, install Firecrawl MCP. The hosted API handles JS rendering, the MCP server gives your agent /scrape, /crawl, /map, /extract, and /search behind one stdio process.
- If you’re shopping the hosted-scraping-API category and want to compare alternatives, look at Anycrawl. Same shape as Firecrawl, different pricing and feature mix — the card below carries the live metadata and install config.
- If you’re crawling at high volume and the per-page cost of a SaaS gets uncomfortable, write your own with Crawlee (TypeScript or Python). Request queues, proxy rotation, and headless browser orchestration are first-class. There is no MCP server — you build, you run, you own.
- If you need to authenticate, fill forms, click through pagination, or wait for an SPA, install Playwright MCP. Real browser, real interactions, three engines (Chromium, Firefox, WebKit), accessibility-tree snapshots instead of screenshots.
The four tools are complementary as often as they are substitutes. Most production stacks end up running two of them — usually Firecrawl for ad-hoc agent fetches and either Crawlee or Playwright for the heavy lifting. The expensive decision is not which tool to install; it’s which one to reach for from inside the agent loop. We cover that in the per-tool sections and the pitfalls block below.
What scraping tools do in 2026
The scraping problem hasn’t changed: fetch a URL, render the page if JavaScript matters, extract the bits a model or a pipeline can consume. What has changed is the shape of the consumer. When the destination was a CSV or a database, scrapers optimised for raw HTML and structured fields. When the destination is an LLM, the optimal output is clean markdown with the chrome (nav, footers, ads, cookie banners) stripped out. That shift is the whole reason Firecrawl and Anycrawl exist as a category — they bet that the new buyer wants LLM-ready content, not raw DOM.
The four tools in this comparison split along two axes. Hosted versus self-hosted: Firecrawl and Anycrawl are SaaS APIs you call from anywhere; Crawlee and Playwright are libraries / frameworks you run. Read-only versus interactive: Firecrawl, Anycrawl, and Crawlee’s HTTP crawler can fetch static-ish pages cheaply; Playwright (and Crawlee’s Playwright crawler under the hood) drives a real browser when the page demands it. Pick the quadrant first, then pick the tool. If you’re newer to the protocol that connects these to agents, our What is MCP primer covers the wire format the MCP servers run on.
Side-by-side matrix
Every cell below is sourced from the official repo, vendor docs, or the live entry on this directory. Volatile fields (free-tier exact page quotas, current star counts, exact pricing tiers) are kept on the canonical /servers/firecrawl, /servers/anycrawl, and /servers/playwright pages and on each vendor’s own pricing page.
| Dimension | Firecrawl | Anycrawl | Crawlee | Playwright |
|---|---|---|---|---|
| Type | Hosted API | Hosted API | OSS framework | Browser automation |
| Maintainer | Mendable.ai (official) | Anycrawl (official) | Apify (official) | Microsoft (official) |
| License | Apache 2.0 (open core) | See vendor page | Apache 2.0 | Apache 2.0 |
| Language | API call from any language | API call from any language | TypeScript / Python | TypeScript / Python / Java / .NET |
| JS rendering | Yes (handled server-side) | Yes (handled server-side) | Optional (Playwright or Puppeteer) | Yes (the whole point) |
| Output shape | Markdown, HTML, JSON | Markdown, HTML, JSON | Whatever your code emits | Whatever your code emits |
| MCP server | Official (mendableai/firecrawl-mcp-server) | Yes — see card below | No (it's a library) | Official (@playwright/mcp) |
| Self-host | Yes (OSS core) | Hosted only | Yes — you run it | Yes — you run it |
| Best for | Agent fetches public pages → markdown | Hosted API alternative | High-volume custom crawling | Auth, forms, SPA, cross-browser |
| MCP.Directory page | /servers/firecrawl | /servers/anycrawl | — | /servers/playwright |
Three things stand out. First, only Firecrawl, Anycrawl, and Playwright have first-party MCP servers — Crawlee is a framework, not a tool surface. Second, Firecrawl is the only one with an open-core business model in the hosted-API quadrant, which matters if your contract requires the option to self-host. Third, output shape is the cheapest filter: if you need markdown out of the box, hosted APIs win; if you need anything else, you’re writing extraction code regardless of the underlying engine.
Firecrawl — install + recipe
What it does best
Firecrawl is the default answer when an AI agent needs to read a public webpage as clean markdown. The five endpoints cover the four jobs an agent actually does — /scrape for a single URL, /crawl for a whole site, /map for sitemap discovery, /extract for structured JSON via an LLM, and /search for query-then-fetch — and the markdown output drops straight into a context window without the chrome, cookie banners, or nav-link noise the model otherwise has to ignore. The MCP server wraps all five behind a single stdio process so the agent sees one tool family, not five.
Pick this if you...
- Want an agent to fetch a public URL and get markdown back, with no scraper code in your repo
- Care about JavaScript rendering but don’t want to run headless Chrome yourself
- Need an /extract endpoint that returns structured JSON against a schema you describe in natural language
- Want the option to self-host the open-core engine if a customer or compliance need forces you off the SaaS
Recipe: extract product data from a competitor’s catalog
In Cursor or Claude Code with Firecrawl MCP installed and FIRECRAWL_API_KEY in your environment, paste this prompt:
Use the Firecrawl MCP. /map https://example-shop.com to
discover the product URLs under /products/. For the first
20 results, /extract each into this schema:
{ name: string,
price_usd: number | null,
sku: string | null,
in_stock: boolean }
Return a JSON array, sorted by price_usd descending. Skip any
URL that doesn't look like a product page (no SKU, no price).The agent runs /map to discover URLs, filters to the product subpath, then issues one /extract call per URL against the schema. The output lands in chat as a JSON array you can pipe directly into a spreadsheet or a database insert. Watch your page quota — twenty extracts from a single prompt is twenty billable units, and a loop that re-runs on every conversation turn can chew through a free-tier allotment fast.
Skip it if...
You’re scraping at the volume where the per-page cost of a hosted API stops penciling out — that’s the cross-over point to Crawlee. Also skip if your target requires login, multi-step interactions, or human-shaped browsing patterns; those are Playwright’s territory, not a fetch-and-parse API’s.
Anycrawl — install + recipe
What it does best
Anycrawl is the alternative hosted-scraping-API in this comparison. The pitch is the same shape as Firecrawl — point a URL, get clean content back, no infrastructure on your side — with its own approach to pricing, output formats, and feature mix. The card above carries the live metadata, the install config for every MCP client, and a link to the canonical /servers/anycrawl page where the current capabilities and limits are tracked.
Pick this if you...
- Are evaluating the hosted-scraping-API category and want to A/B-test against Firecrawl on your own URLs before committing
- Find that Firecrawl’s pricing curve doesn’t fit your volume shape and want a second quote
- Want a hosted API and don’t require the specific MCP integration maturity Firecrawl has
Recipe: A/B-test on three real URLs from your workload
The most useful Anycrawl recipe in 2026 is the honest one: run it against your real targets and compare output. Pick three URLs that exercise your typical workload — one static page, one JS-rendered SPA, one site that’s historically been tricky to scrape. Fetch each through Anycrawl and Firecrawl side by side. Compare:
# For each URL, compare across the two APIs:
# 1. Time to first byte (cold start)
# 2. Output length (chars of markdown returned)
# 3. Chrome cleanliness (does it strip nav/footer/cookie banners?)
# 4. JS rendering correctness (does dynamic content appear?)
# 5. Price per call at your projected volume
# The hosted-scraping-API differences are small enough that
# your specific sites and your projected volume drive the
# decision, not the marketing copy.The card above is the source of truth for what Anycrawl ships today; bookmark /servers/anycrawl for the canonical install config and any updates to the MCP surface.
Skip it if...
You need the most mature MCP integration in this category today — Firecrawl has more years of MCP-server iteration behind it. You can always revisit Anycrawl on the next renewal cycle once its install base catches up.
Crawlee — what makes it different
Crawlee
Open-source scraping framework · Apify · Apache 2.0 · TypeScript + Python
Framework, not an MCP server. You write code, you run the workers, you own the proxy rotation, session pools, and storage. Pairs well with Playwright or Puppeteer when you need a browser; ships its own HTTP crawler when you don’t.
crawlee.devWhat it does best
Crawlee is the only tool in this comparison that’s designed for you to own the scraper. Request queues, automatic retries, proxy session pools, headless browser orchestration, and pluggable storage are first-class primitives — not bolted-on afterthoughts. When you outgrow what a hosted API can do, either on volume, on cost, or on custom-extraction logic, Crawlee is the framework that catches you. The TypeScript and Python flavors are feature-parity peers, so the language choice depends on your team, not the framework.
Pick this if you...
- Are scraping at volume where per-page SaaS pricing stops penciling out
- Have specific requirements (rotating residential proxies, custom session handling, deduplication against your own datastore) that a hosted API doesn’t expose
- Want a library you can drop into an existing Node or Python codebase without taking on a new vendor relationship
- Need to swap between an HTTP crawler and a headless browser per site without rewriting the surrounding code
Where it shines: a deduped 10-million-URL crawl with proxy rotation
Imagine you’re building a product-pricing dataset across hundreds of retailer sites. A hosted API gets you the first ten thousand pages cleanly and charges you accordingly. By page one million, you’re looking at a five-figure monthly bill. Crawlee’s PlaywrightCrawler with a residential proxy pool, a request-queue backed by Redis, and per-domain rate limits runs the same workload on your own workers — typically at ten to twenty percent of the hosted cost once you account for proxies. The catch is real: you maintain the scraper, you handle the anti-bot mitigations, you eat the on-call pages when a target site changes its DOM. The tradeoff is clean: SaaS buys you simplicity; Crawlee buys you economics and control.
Skip it if...
You’re not at the volume where the math flips, or you don’t have an engineer who wants to own a scraper. For ad-hoc agent fetches and a few thousand pages a month, Firecrawl or Anycrawl will be faster end-to-end and the cost difference disappears in the noise.
Source / try it: github.com/apify/crawlee · crawlee.dev docs
Playwright — install + recipe
What it does best
Playwright is the right answer the moment scraping crosses into interaction. Logging in, filling forms, clicking through paginated lists, waiting for an SPA to settle before reading the DOM — those are not problems a fetch-and-parse API solves cleanly, and Playwright handles all of them across Chromium, Firefox, and WebKit. The Microsoft-maintained @playwright/mcp package exposes the browser to MCP clients via the accessibility tree, which gives the agent a structured snapshot of the page instead of a screenshot — faster, cheaper on tokens, and resilient to layout reflows.
Pick this if you...
- Need to authenticate before scraping (form login, OAuth flow, magic-link email)
- Need cross-browser coverage (Firefox or WebKit, not just Chromium)
- Are scraping a SPA where the data only appears after client-side fetches resolve
- Want a tool maintained by Microsoft with broad community and rock-solid testing-framework lineage
Recipe: log in, navigate to settings, extract account state
In Claude Code with Playwright MCP installed and pointed at a fresh browser context:
Use the Playwright MCP. Navigate to https://example.com/login,
fill the username field with my test user, fill the password
field from the env var, click 'Sign in', wait for the dashboard
to render, then click the 'Settings' nav link.
On the settings page, snapshot the accessibility tree and
return: the user's plan tier, the renewal date, and the list
of connected integrations. Format as JSON.The agent drives a real browser through the flow, reads the accessibility tree after each navigation, and pulls the fields out by their accessible labels. The same pattern works for any auth’d page in your stack — support consoles, admin dashboards, internal tools the hosted scrapers can’t see. For the deeper browser-automation comparison, see our Chrome DevTools MCP vs Playwright MCP deep-dive.
Skip it if...
All you need is markdown content from a public page — that is Firecrawl’s job, and Playwright is overkill on token count, latency, and operational footprint. Also skip if you’re bundling for serverless environments where a full Chromium download is a non-starter; the dependency is intentionally heavy.
Decision: which one wins where
The four-way trade-off, condensed. If your scraping problem ends with “feed this page to a model,” Firecrawl is the lowest-friction answer in 2026 — clean markdown, mature MCP server, one API key. Anycrawl is the competitive shopping option in the same quadrant; budget an afternoon to A/B-test on your own URLs before locking in. The hosted-API category is converging on similar shapes, and the right pick depends on output quality against your specific sites and on which pricing curve matches your volume.
The moment your problem stops being “feed this page to a model,” the answer changes. High-volume custom crawling is Crawlee’s territory — the per-page economics of running your own scraper beat any hosted API once the page-count gets big enough, and Crawlee’s primitives (request queues, proxy pools, session management) save you from reinventing the boring half of a production scraper. Interactive scraping is Playwright’s — the second a login form, a multi-step checkout, or a JS-heavy SPA enters the picture, no API will catch up with a real browser driving real interactions. Most teams end up running two of these in production: Firecrawl for agent-driven ad-hoc fetches plus either Crawlee or Playwright for the heavy lifting.
Free / open-source alternatives
If a hosted API isn’t in the budget at all, the open-source path is real but it’s yours to maintain. Here’s the honest map:
Want hosted-API quality without paying the SaaS?
Self-host Firecrawl — the open-core engine is on GitHub, the license is Apache 2.0, and the MCP server points at any deployment URL. You give up the managed scaling and the proxy network, but the markdown extraction quality travels with the code.
Want a free, open-source framework with no SaaS in the loop?
That’s Crawlee. Apache 2.0, TypeScript or Python, no vendor relationship required. Pair with your own proxy stack and storage. Apify (the maintainer) sells a hosted platform that runs Crawlee for you, but the framework runs anywhere a Node or Python process runs.
What about Puppeteer, Selenium, Cheerio, BeautifulSoup?
All still work. Puppeteer is Playwright’s older sibling (Chromium-only, Node-only); Selenium remains the cross-language testing standard; Cheerio is a lightweight Node HTML parser; BeautifulSoup is the Python equivalent. The reason this post zooms in on the four above is the MCP / agent angle — they’re where the modern integration work is happening. The older tools haven’t broken; they just don’t have a first-party MCP surface in 2026.
Want a free, hosted, feature-complete scraping API?
Doesn’t really exist at scale. Free tiers on Firecrawl and Anycrawl get you started; past the free-tier ceiling, somebody pays — either the SaaS vendor, or you in proxy and compute costs running Crawlee. There’s no third option.
Benchmark them yourself
We’re not publishing a one-shot benchmark in this post. Scraping latency depends on target site, region, JS-rendering complexity, and the agent’s prompt shape — a single run from one machine is not representative. Spend an afternoon on the methodology below; the numbers it produces are tailored to your workload and they’ll outlast any vendor blog post.
# Pick 5 URLs that exercise your real workload:
URLS=(
"https://news.ycombinator.com/" # static, JS-light
"https://github.com/anthropics/courses" # GitHub-rendered
"https://reactjs.org/docs/getting-started.html" # docs site
"https://www.amazon.com/dp/ANY_ASIN" # heavy SPA + anti-bot
"https://your-internal-app.example.com/" # auth-required (Playwright only)
)
# For each tool, measure:
# 1. End-to-end latency (prompt to result, including model)
# 2. Output completeness (does the dynamic content appear?)
# 3. Chrome cleanliness (does nav/footer/banner get stripped?)
# 4. Token cost of the returned payload
# 5. Per-page cost at your projected monthly volume
# Compare on your real targets:
# - Firecrawl MCP (hosted)
# - Anycrawl MCP (hosted)
# - Crawlee (self-hosted, your code)
# - Playwright MCP (interactive flows only)Firecrawl typically wins on time-to-clean-markdown for public pages; Anycrawl is in the same ballpark on most workloads. Crawlee wins on cost per page once you’re past a hosted free tier and you can amortise the engineering. Playwright wins, period, on anything that requires interaction — the others can’t even start that workload. Run the methodology on your incidents; do not take a vendor’s word for it.
Common pitfalls
Firecrawl quota burn inside an agent loop
An agent that re-fetches the same URL on every conversation turn can drain a free tier or rack up a bill in a single afternoon. Cap tool-call budget per turn, cache markdown locally for the session, and prefer one /crawl over a hundred /scrape calls when the target is a whole site. /map is cheap; /extract is not.
Crawlee feels easy until the proxies show up
The framework gets you to the first thousand pages fast. Anti-bot systems, residential proxies, CAPTCHA handling, and the on-call rotation when a target’s DOM changes are the parts vendors quietly take care of. Budget the maintenance, not just the build.
Playwright is a fat dependency — bundle it deliberately
A full Chromium download is not a small ask, and serverless platforms with strict cold-start budgets won’t love it. For agent-driven flows on a developer’s laptop it’s fine; for production scraping pipelines, run it on dedicated workers, not in a Lambda.
Treating all four as interchangeable
Firecrawl and Anycrawl are substitutes for each other; Crawlee and Playwright are not substitutes for the hosted APIs, and they’re not substitutes for each other either. Pick by the shape of the problem (read-only vs interactive, hosted vs self-run), not by the marketing copy.
Frequently asked questions
What's the simplest way to compare Firecrawl, Anycrawl, Crawlee, and Playwright?
Pick by deployment shape. Firecrawl and Anycrawl are hosted APIs you call from anywhere — point a URL, get markdown or structured JSON back, no infrastructure. Crawlee is an open-source Node.js / Python framework — you write code, you run the workers, you own the proxy stack. Playwright is a browser automation framework — you script real clicks and form fills, then read the page after JavaScript has fully rendered. APIs are easiest; libraries give you control; browser automation handles auth and interaction. The answer depends on what you're scraping and how much you want to maintain.
Is Firecrawl free?
Firecrawl has a free tier with a page-count limit and subscription tiers above it for higher volume. The core engine is open source under Apache 2.0 at github.com/mendableai/firecrawl, so you can self-host the scraper without paying — you give up the managed scaling, the proxy rotation, and the SLA, but the code is yours. The official MCP server at github.com/mendableai/firecrawl-mcp-server runs against either the hosted API (with an API key) or your self-hosted instance. Check firecrawl.dev/pricing for current page-quota and concurrency limits before designing around them.
What's the difference between Firecrawl and Anycrawl?
Both are hosted scraping APIs that return clean content suited for LLM ingestion. Firecrawl is the more established option with an Apache 2.0 open-core repo, a mature MCP server, and broad community adoption. Anycrawl positions itself as an alternative with its own approach to pricing and feature mix. The honest answer in 2026 is to try both on three real URLs from your workload — the abstractions are similar enough that the right pick comes down to output quality on your specific sites and which pricing model matches your volume curve. Both are listed in the directory; the per-tool cards below link to the canonical pages with install configs and live metadata.
When should I pick Crawlee over Firecrawl?
Pick Crawlee when you've outgrown a hosted API or when the per-page cost gets meaningful at your scale. Crawlee is an open-source Node.js (TypeScript) and Python framework from Apify with first-class support for request queues, proxy rotation, session pools, headless browser orchestration via Playwright or Puppeteer, and a plain HTTP crawler for sites that don't need a browser. You write the extraction logic, you control the storage, and there's no upstream SaaS dependency. The trade-off is real: you maintain the scraper, the infrastructure to run it, and the anti-bot mitigations. If you're scraping a handful of sites for an LLM, Firecrawl wins on time-to-first-result. If you're crawling hundreds of millions of pages a month, Crawlee plus your own proxies wins on cost and control.
Does Playwright count as a scraping tool?
Playwright is browser automation first, scraping second — but the line is thin once JavaScript is involved. If you need to log in, fill a form, click through pagination, or wait for an SPA to render before reading the DOM, Playwright handles that natively across Chromium, Firefox, and WebKit. The @playwright/mcp package from Microsoft exposes the browser to MCP clients via the accessibility tree, so an agent can navigate and read pages without screenshot-based interpretation. For static markdown extraction from public pages, Firecrawl is faster and lighter. For anything behind a login or dependent on user interaction, Playwright is the right shape of tool. See our chrome-devtools-mcp vs playwright-mcp deep-dive for the browser-automation comparison in full.
Can I use Crawlee with the Firecrawl MCP server?
They solve different problems and live at different layers. Crawlee is the code you run locally or on your own workers to crawl at scale; the Firecrawl MCP server is a tool surface that lets an AI agent ask Firecrawl's hosted API to scrape a page. You can absolutely use both in one stack — have Crawlee handle the bulk pipeline and let your agent reach for the Firecrawl MCP for ad-hoc fetches during interactive sessions. They don't substitute; they complement. The Firecrawl team also publishes an SDK if you want to call the API directly from inside a Crawlee crawler without going through MCP.
Which one should I install in Cursor / Claude Code / VS Code?
For LLM-facing work in an editor, Firecrawl MCP and Playwright MCP are the two you actually install. Firecrawl MCP gets you /scrape, /crawl, /map, /extract, and /search behind one stdio process — the agent can pull a clean markdown version of any public page on demand. Playwright MCP gets you a real browser the agent can drive, which matters the moment the question is 'log in and read what's behind the form.' Crawlee isn't an MCP server (it's a framework you build with), and Anycrawl ships its own catalog entry with an install card on this page. Stack Firecrawl for read-only public scraping and Playwright for interactive flows; that covers most use cases.
What about Puppeteer, Selenium, BeautifulSoup, and the older scrapers?
The older tools still work — they're just not where the LLM-friendly tooling is being built. Puppeteer (Chrome-only, Node.js, by Google) was the spiritual predecessor to Playwright and still has a large install base; Crawlee can drive Puppeteer instead of Playwright if you prefer. Selenium remains the lingua franca for cross-language browser testing but doesn't have a first-party MCP surface in 2026. BeautifulSoup is a Python HTML parser, not a crawler — pair it with httpx or aiohttp to build a lightweight scraper, or use Crawlee's CheerioCrawler in Node for the same shape. The four tools in this post represent where the agent-era scraping stack is consolidating, not the entire historical catalog.
Sources
Firecrawl
- github.com/mendableai/firecrawl — open-core engine, Apache 2.0
- github.com/mendableai/firecrawl-mcp-server — official MCP server
- firecrawl.dev — hosted API + pricing
Anycrawl
- /servers/anycrawl — canonical catalog entry with install configs and live metadata
Crawlee
- github.com/apify/crawlee — TypeScript + Python framework, Apache 2.0
- crawlee.dev — official docs
Playwright
- github.com/microsoft/playwright — browser automation framework, Apache 2.0
- github.com/microsoft/playwright-mcp — official @playwright/mcp server
- playwright.dev — docs, API reference
Related comparisons
- /blog/chrome-devtools-mcp-vs-playwright-mcp-2026 — the browser-automation deep dive
- /blog/best-web-search-mcp-servers-2026 — search vs scrape: when to reach for which
- /compare/firecrawl-vs-playwright — side-by-side server-detail view
Internal links