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Top Firecrawl Alternatives: Features & Pricing

Nazlı Şipi
Nazlı Şipi
atualizado em 4 set. 2026

Firecrawl is an IA-native web scraping and crawling API that converts dynamic web pages into LLM-ready Markdown and structured data. We compared its alternatives across benchmarks and features.

Feature comparison of Firecrawl alternatives

We left out JavaScript rendering, search endpoints, structured JSON output and MCP server support. Nearly every product here offers all four, so they no longer separate one tool from another.

Product
Markdown
Residential proxy
CAPTCHA solving
Prebuilt scrapers
Nimble
Apify
ScrapingBee
Spider Cloud
Firecrawl
Exa
Tavily

Vendors marked Yes in the CAPTCHA column solve challenges that have already appeared. The others keep challenges from showing up at all, through fingerprinting and IP rotation. Some send you to an outside solver, and one pauses so a person can step in.

Prebuilt scrapers are ready-made endpoints for specific sites such as Amazon or LinkedIn that return parsed JSON.

Residential proxy access usually comes with a gate. Several vendors ask for KYC before turning it on, and one lists a price for a pool self-service accounts cannot buy.

Firecrawl alternatives pricing comparison

Prices are per 1.000 JavaScript-rendered requests on each vendor’s cheapest paid option, using standard proxies on an ordinary target site. Rates fall as volume rises, and premium or residential proxies push them back up.

Zyte’s price rises with target difficulty: HTTP requests run from $0,13 to $1,27 per 1.000, and browser-rendered requests from $1,01 to $16,08, so the $1,01 in the table is the easiest browser tier and hard sites cost several times more.

Free tiers fall into two groups. Some renew every month, others are a one-time grant you spend once.

Pay per success is not defined the same way everywhere. A blocked page is gratuito on every product marked Yes, but a page that loads and returns junk is usually still billed.

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Firecrawl alternatives benchmarks

Web unblocking benchmark

Web unblocking benchmark markdown output performance

For benchmark details and methodology, see our  web unblocker benchmark.

Web crawlers benchmark

We benchmarked leading web crawlers and worked through a detailed analysis of the results. See our web crawler benchmark for the full breakdown.

IA web scraping benchmark

We benchmarked leading IA web scrapers across accuracy, completion time and cost.

For the full methodology and side-by-side results, see our IA web scraping benchmark.

Firecrawl alternatives

Bright Data runs a web data platform whose Web Scraper API ships more than 1.500 pre-built scrapers covering 800+ popular domains, including LinkedIn, Amazon and Google Maps. Web Unlocker, the SERP API, residential and datacenter proxy networks and pre-collected datasets sit as separate products, so a team can run the unblocking layer without the scraper catalogue or the other way round.

Pre-built scrapers return structured JSON straight from the endpoint, so an Amazon or LinkedIn call arrives as parsed fields rather than raw HTML. Vendors without this layer, hand back HTML or markdown and leave field extraction to CSS selectors, XPath or an LLM step written by the caller.

  • Scraper Studio generates a domain-specific scraper API from any target site through a point-and-click flow, covering domains outside the 800+ catalogue.
  • Field depth varies by target rather than following one schema across all sites; a Zillow record, for example, returns 120+ fields.
  • Web Unlocker is sold on its own for teams that only need the anti-bot layer with a residential IP: one HTTP call, automatic ban handling, CAPTCHAs solved server-side, no proxy management required.
  • SERP API returns parsed Google, Bing, DuckDuckGo, Yandex and other search results with location and device targeting, priced per successful request rather than per credit.
  • The Scraping Browser exposes a hosted Chromium over the CDP protocol, so Playwright or Puppeteer scripts drive a real browser while Bright Data handles proxies and unblocking.
  • Crawl API takes a seed URL and walks the whole site into structured output, positioned separately from the per-page Scraper API for depth-first jobs.
  • Deep Lookup is a natural-language search over the crawled index, returning ranked entities such as companies or people rather than raw URLs.
  • The Datasets marketplace sells fresh snapshots of LinkedIn, Amazon, Instagram and other high-value sources on a subscription, delivered as CSV, JSON or Parquet, with 5B+ records refreshed on schedule.
  • Residential, datacenter, ISP and mobile proxy pools are billed separately from the APIs, with residential drawn from 150M+ ethically sourced peer IPs and gated behind KYC while datacenter and ISP stay self-serve.

Oxylabs provides a Web Scraper API covering 40+ pre-configured targets including Amazon, Google, Walmart and eBay, routed through a source parameter where source: "amazon_product" calls a maintained parser and source: "universal" handles anything else. The company also sells residential, datacenter, mobile, ISP and SOCKS5 proxies plus a separate Headless Browser product on their own.

Pre-built parsers return structured JSON straight from the endpoint, so an Amazon or Google call arrives as parsed fields rather than raw HTML.

  • OxyCopilot writes parsing instructions from a target page and a plain-English prompt, so a Custom Parser can be built without hand-writing XPath.
  • The IA Studio bundles a scraper, an IA crawler, an SERP API and an app builder as a single credit-based product aimed at teams building on top of LLMs.
  • A Datasets marketplace sells pre-collected e-commerce, jobs and real-estate data by download, so recurring targets can be bought rather than scraped from scratch.

Decodo, formerly Smartproxy, wraps proxy rotation, rendering and anti-bot handling behind a single POST /v2/scrapeendpoint for real-time work, with /v3/task for async, /v3/task/batch for bulk and /v0/search for SERP. Site Unblocker, a residential pool of 115M+ addresses and datacenter, mobile and ISP proxies sit as separate products, so a team can run the anti-bot layer without going through the Scraping API.

Pre-built parsers return structured JSON straight from the endpoint.

  • IA Parser turns any HTML into structured JSON from a plain-English prompt, generates reusable parsing instructions that plug straight into a Scraping API job.
  • Fast Search API returns parsed Google organic results and top stories in under a second, with country, language and locale controls per request, but runs synchronously only and skips richer surfaces like IA Overview, which stay on the standard Google Search target.
  • Async requests post back to a callback_url with a passthrough field returned alongside, so the callback can be authenticated without a shared secret.
  • session_id holds the same IP for up to 10 minutes and results stay retrievable for 24 hours, so multi-step flows keep one identity across requests.
  • device_type accepts 12 values covering desktop, mobile and tablet with browser-specific variants like desktop_firefox or mobile_ios, and xhr returns the page’s XHR and fetch requests alongside the rendered HTML.

Apify runs scraping and browser-automation scripts called Actors, where each Actor is a containerised script that can be triggered over an API, scheduled or chained into a pipeline. Billing tracks Compute Units for runtime and memory rather than pages, so cost follows how long a script runs, not how many URLs it touches, and named-site parsers come from a community marketplace rather than a vendor-maintained catalogue.

Actors write items to a Dataset as structured JSON, so the output shape is set by whichever Actor is running. Apify itself publishes 117 first-party Actors under the apify/ namespace, concentrated in Instagram and Facebook scrapers, Google Search, Trends and IA Overviews, LLM-interface scrapers for ChatGPT and Perplexity, plus RAG-oriented tools such as Website Content Crawler, RAG Web Browser and URL to Markdown. The Amazon, LinkedIn, TikTok and Zillow scrapers that show up on the Store are all third-party code from the community.

  • Crawlee is Apify’s open-source scraping framework in Node.js and Python under Apache 2.0, shipping HTTP-based crawlers (HttpCrawlerBeautifulSoupCrawlerParselCrawler) alongside browser-based ones (PlaywrightCrawler) with built-in proxy rotation, session pools and browser-fingerprint generation.
  • Website Content Crawler is a first-party Actor that saves each page as textmarkdown and html fields in one Dataset run, aimed at RAG pipelines rather than field-level scraping.
  • RAG Web Browser takes a query, runs a Google search, fetches the top results and returns clean markdown in one call, wrapping search and content extraction into a single Actor.
  • Every Actor ships with Datasets, Key-Value stores and Request queues as first-class storage, so pagination state, scraped items and named files persist across runs without an external database.
  • Schedules run any Actor on a cron expression, and Webhooks fire on Actor lifecycle events for downstream orchestration.
  • Third-party developers publish and monetise Actors on the Store, so 66.000+ of the ~67.000 Actors are community code rather than first-party.

Nimble’s platform splits into three layers: Web Search Agents for automated research, a set of Web Tools APIs for developers, and an IA Plugin for personal agents. Under the hood every request runs on an explicit driver ladder with five rungs, from vx6 for static HTTP through vx8 and vx8-pro for JavaScript to vx10 and vx10-pro for stealth headless and headful browsing, and setting render: "auto" walks that ladder per domain, starting cheap and escalating only until a request succeeds.

Extract Template API is Nimble’s take on the prebuilt-scraper layer, returning parsed JSON for named sites such as Amazon, Walmart, Target, Best Buy, Home Depot, Google, TikTok, Facebook, ChatGPT and Perplexity.

  • Search API returns low-latency web results with links, snippets and optional page contents in one call, so a query does not need a follow-up Extract to bring back the underlying page text.
  • Extract API takes a URL and returns HTML or markdown, while Extract Template API sits alongside it for named sites where Nimble already writes and maintains the parser.
  • Crawl API pulls every page from a domain in one call and Map API returns just the URL hierarchy, so discovery and content collection are separate SKUs rather than one crawl-everything endpoint.
  • Media API discovers every URL on a site across videos, images, audio and documents, which fits pipelines that need to inventory assets before deciding what to fetch.
  • Markdown conversion has a markdown_backend switch: full_page converts the whole document, main_content runs Mozilla Readability first for cleaner extraction on article pages.
  • A published blocklist rejects requests to payment processors, streaming, gaming and financial domains on every plan, PayPal, Stripe, Spotify, Steam and Kayak among them.

Zyte API is one endpoint where every output is toggled as a boolean field, the central choice being cheap httpResponseBodyfor a raw HTTP fetch against browserHtml for a full browser render, with headless browser control, session management and IP rotation across residential, datacenter and mobile pools sitting on top. Zyte also maintains Scrapy, and the scrapy-zyte-api plugin routes an existing spider through the API with one addon line, leaving spider code untouched.

IA Extraction returns parsed JSON, but the layer is type-based rather than site-based: pageContent: true returns clean LLM-ready content from any page, standard schemas such as productarticle and jobPosting run trained ML models on any page of that type, and custom fields run an LLM only when you define them. Vendors with a named-site catalogue, such as Bright Data or Oxylabs, ship a maintained parser per target instead.

  • SERP endpoint returns up to 100 organic results plus IA Overview in one call, with pages 2 to 10 priced lower than page 1, so paginated keyword research does not multiply cost linearly.
  • Headless Browser handles full JavaScript execution and DOM interaction, exposed as a boolean on the same endpoint rather than a separate product.
  • Scrapy Cloud is sold as a separate hosting product for teams running the open-source framework, positioned as managed hosting for Scrapy spiders.
  • Agentic Web Data ships coding-agent plugins starting with Claude Code, giving the agent the context to build production Scrapy projects.
  • Zyte Data is a managed data-as-a-service arm for teams that want the output rather than an API to call.
  • Permissions control lets an account disable anti-ban techniques wholesale, with toggles for CAPTCHA management and residential IPs, both defaulting to on.

ScrapingBee wraps proxy rotation and headless rendering behind one endpoint, where the credit cost of each request scales with the combination requested rather than the plan tier. Eight dedicated endpoints for named targets sit alongside the generic API, covering Google Search, Amazon, Walmart, YouTube, ChatGPT and Gemini, plus a Fast Search API and an Employee Search API.

Dedicated endpoints return parsed JSON straight for the target site, so an Amazon product call arrives as fields rather than raw HTML. The generic API still returns HTML by default and pairs with ai_extract_rules or ai_query for LLM-based extraction when the target is not on the dedicated list.

  • Screenshots, custom cookies and CSS-selector extraction rules are exposed as first-class parameters on the generic endpoint, alongside the IA-based extraction.
  • Auto-mode picks the cheapest working configuration and charges only what worked, though it runs on GET only and rejects render_jspremium_proxy or stealth_proxy passed alongside it.
  • js_scenario runs click, scroll, fill and wait sequences before returning the rendered page, so multi-step flows do not need a separate browser session.
  • Agentic Employee Search API is returning employee lists for a target company rather than page content.
  • Stealth mode drops support for infinite scroll, custom headers and cookies, and the timeout parameter, so the hardest anti-bot tier trades interaction depth for evasion.

Spider Cloud crawls through a headless browser written from scratch in Rust, escalating to the browser only when a page needs JavaScript. Results stream as JSONL page by page as the crawl runs, so downstream systems consume the first pages while the last URLs are still being fetched.

It does not ship a catalogue of maintained parsers for named sites. Instead, structured JSON comes through two routes: on /scrape, a user-defined selector map turns CSS or XPath into named fields returned under css_extracted, and on /fetch/{domain}/{path}, an alpha endpoint auto-discovers a per-domain configuration on the first request and caches it for reuse.

  • Nine endpoints share the same auth and JSON shape: Crawl, Scrape, Search, Screenshot, Transform, Links, Unblocker and the alpha Fetch, alongside a deprecated /pipeline/* IA extraction path superseded by Scrape and Fetch.
  • request parameter picks between httpsmart and browser, with smart as the default: an HTTP fetch runs first and only escalates to Chrome when the page needs it.
  • /unblocker is a separate endpoint for bot-walled pages: one path change from /scrape moves the same request onto a four-rung escalation ladder covering geo-targeted proxies, browser fingerprints, CAPTCHA and Turnstile solving, and full identity rotation. The 10 to 40 extra credits are charged only on success.
  • /transform converts raw HTML or PDF into markdown, text or sanitised HTML without re-fetching from the web, so content already collected elsewhere can be cleaned up as a separate step.
  • /links returns every URL on a site without extracting content, priced lower than a full crawl, so sitemap generation does not pay for markdown it never uses.
  • Selector maps accept both CSS and XPath, and one map key per URL path, so /products and /blog can carry different field definitions in the same request.
  • return_json_data returns JSON-LD, product schema and the state objects frameworks embed inside the page, often richer than anything visible in the DOM.

Exa is a semantic search company rather than an on-demand scraper: search runs against Exa’s own vector index of 100 billion documents and 1.4 trillion tracked URLs, marketed as the largest independent web index outside Google and Bing. Cached content is served by default, and maxAgeHours sets how fresh a hit has to be before Exa refetches, with the older livecrawl parameter now deprecated and documented as not guaranteeing a fresh fetch.

Structured JSON here means search results, not parsed site fields: a call returns URLs, titles, snippets and optionally page content, and the extraction step is what /contents runs on the retrieved pages. Vendors with named-site parsers or type-based IA extraction start from a URL you already have; Exa starts from a query.

  • Agent API defaults to metered auto effort capped at $5 per request, with fixed tiers from minimal to x-high for predictable per-request pricing.
  • Search has vertical modes for companies, people, code, news, financial reports, research papers, personal sites and PDFs, so a query can be scoped to an entity type rather than a domain list.
  • Websets turn a query into a curated collection Exa builds on demand, with enrichment fields you describe in plain text.
  • Monitors watch a query or a domain over time and fire when new matches appear, aimed at ongoing surveillance rather than one-off retrieval.
  • Answer returns a direct answer to a question rather than a ranked list, and stitches together the sources it drew from.

Tavily runs five endpoints designed for IA agents rather than raw web scraping: Search, Extract, Research, Crawl and Map. Search runs against Tavily’s own crawled index rather than proxying a public engine, and the crawler’s own docs state it follows Googlebot’s access, so pages Googlebot cannot crawl stay out of Tavily’s index too.

Structured JSON here returns search results and extracted page content, not parsed fields for named sites. Extract has basic and advanced modes, where advanced is documented as the choice for dynamic or JavaScript-rendered pages and doubles the credit cost per URL.

  • Built-in filtering blocks PII leakage, prompt injection and malicious sources before results reach a model, positioned as a safety layer rather than an optional feature.
  • Search returns results with titles, URLs, snippets and optional page content in one call, so a query does not need a follow-up Extract to bring back the underlying text.
  • Extract charges per group of five URLs and never bills a failed extraction, so brittle targets do not eat credits.
  • Crawl combines site mapping and per-page extraction into one endpoint, with cost split into a mapping fee and the extraction fee, so URL discovery and content retrieval are billed separately inside one call.
  • Map returns just the URL graph of a site without pulling any page content, aimed at pipelines that inventory before deciding what to fetch.

Diffbot’s positioning is “Fetch knowledge, not markdown”: computer vision and NLP classify a page against a standard ontology and hand back structured fields in about 300ms, so one Extract call works on any article, product or job posting from any site rather than a parser per target. Five products sit on top: Extract, Crawl, Natural Language, Knowledge Graph and Web Search.

  • Custom JavaScript can be injected into an Extract call through the X-Forward-X-Evaluate header, and must open with start() and close with end() or the request times out.
  • Extract points at a URL and returns typed fields such as titleauthorprice or salary from the ontology, alongside text and HTML for the full page body.
  • Web Search API runs on Diffbot’s own 150TB index and is also packaged down to 4TB for self-hosting on your own hardware, so search can run offline with no telemetry.
  • Natural Language API takes raw text rather than a URL and returns entities, relationships, facts and sentiment resolved against the Knowledge Graph.
  • Custom API sits alongside the ontology for cases where it does not fit, taking user-written CSS or XPath selectors bound to a URL pattern.
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How to choose a Firecrawl alternative

CAPTCHA solving versus avoidance: Bright Data, Oxylabs and Spider Cloud solve challenges once they appear. Decodo, Nimble and Zyte try to prevent them through fingerprinting and IP rotation but do not clear one that shows up.

How structured JSON comes back: Bright Data, Oxylabs, Decodo, Nimble and ScrapingBee maintain a parser per named site. Zyte and Diffbot classify by page type, so one call works on any product or article page. Spider Cloud expect user-defined selectors, and most of the group also accept a plain-English prompt through an IA extraction path.

Real price, not headline price: JavaScript rendering doubles or triples the base rate on Zyte, ScrapingBee and Oxylabs, and JSON extraction adds another four or five credits per page on Firecrawl and ScrapingBee. Every vendor except Apify and, Exa bills only successful requests. Compare on JS-rendered price with extraction on, not the sticker number.

Residential proxy access: Faster to self-serve on Decodo, Bright Data (datacenter and ISP while KYC is pending) or Spider. Nimble’s proxy is not available to self-service accounts, Zyte requires KYC and legal review, Oxylabs applies KYC to every customer and turns down roughly a quarter of applicants.

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Nazlı Şipi (2026) - "Top Firecrawl Alternatives: Features & Pricing". Publicado on-line em AIMultiple.com. Acessado em 4 Setembro 2026, em: https://aimultiple.com/firecrawl-alternatives [Recurso on-line]

Şipi, N. (2026, 4 Setembro). Top Firecrawl Alternatives: Features & Pricing. AIMultiple. https://aimultiple.com/firecrawl-alternatives

@misc{sipi2026,
  author = {Şipi, Nazlı},
  title  = {{Top Firecrawl Alternatives: Features & Pricing}},
  year   = {2026},
  month  = sep,
  howpublished    = {\url{https://aimultiple.com/firecrawl-alternatives}},
  note   = {AIMultiple. Acessado em 4 Setembro 2026}
}
Nazlı Şipi
Nazlı Şipi
Pesquisadora de IA
Nazlı é analista de dados na AIMultiple. Ela tem experiência anterior em análise de dados em vários setores, onde trabalhou na transformação de datasets complexos em insights acionáveis.
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