Introducing /interact. Scrape any page, then let your agent take over to click, type, and extract data for you. Try it now →
[ 200 OK ]
[ .JSON ]
[ SCRAPE ]
[ .MD ]
Firecrawl vs. Scrapfly

Scrapfly scrapes pages.
Firecrawl powers AI pipelines.

Scrape, search, and browse the web through a single API. Clean, AI-ready data every time.
No proxy configs, credit multipliers, or separate extraction steps.

Trusted by 80,000+
companies
of all sizes
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Shopify logo
Lovable logo
Zapier logo
Canva logo
Apple logo
Alibaba logo
PHMG logo
DoorDash logo
Gamma logo
You.com logo
Sprinklr logo
Cognism logo
Ada logo
11x logo
Botpress logo
Aleph Alpha logo
Sierra logo
[ 01 / 08 ]
·
Why Firecrawl

See why teams choose
Firecrawl over Scrapfly.

When comparing Firecrawl vs Scrapfly, the difference comes down to a unified API, AI-ready output, and simple pricing.

Scrape
Search
Crawl
Agent
Browse

The complete web data toolkit

Firecrawl bundles search, scrape, browse, crawl, and extract under one API key. Scrapfly focuses on single-page scraping with proxy pools — it has no web search endpoint and requires a separate Extraction API call for structured output.

See docs
apple.com
Endpoint
Scrape
Status
Success
Started
Mar 18, 2026
2:51 PM
Formats
Markdown
JSON

Clean, reliable data for AI pipelines

Firecrawl returns LLM-ready markdown on every request — no post-processing needed. Scrapfly returns raw HTML by default, and structured extraction requires a separate API call with the HTML body passed in.

See use cases
Pages scraped
Last 7 days
1.2M
Mar 14
48,200 credits
03/1103/1403/18

Predictable pricing that scales

Firecrawl charges 1 credit per scrape with plans from $83/month for 100k credits. Scrapfly's credit multipliers can reach 31x per request depending on proxy type and rendering settings — making costs hard to predict.

See pricing
[ 02 / 08 ]
·
Benchmarks

Firecrawl leads on extraction quality.
And so much more.

Coverage
0%
success rate
Quality
0.000
F1 score for accuracy
Recall
0.000
content recall rate
Speed
0ms
P95 latency
[ 03 / 08 ]
·
Firecrawl vs. Scrapfly

Firecrawl is purpose-built for
AI agents and developers.

In any Firecrawl vs Scrapfly comparison, the difference comes down to LLM-ready output by default, transparent pricing, and a unified API for searching, scraping, and browsing.

Firecrawl
Scrapfly
Built-in proxy rotation
Geo-targeted proxies included on every request, no config needed
130M+ proxies from 120+ countries with datacenter and residential pools
JS / React rendering
Cloud browsers included at no extra cost on every plan
Cloud browsers available at +5 credits per request
AI-powered extraction
Clean markdown + structured JSON on every scrape; extract with prompts or JSON Schema inline
Returns raw HTML by default; extraction requires a separate API call with the HTML body
Search, scrape, and browse in one API
Web search with full extraction, cloud browsers, and scraping unified in one platform
Single-page scrape only; no web search or autonomous browsing endpoints
Predictable credit-based pricing
1 credit per scrape; from $83/mo for 100k credits
1 to 31+ credits per request depending on browser and proxy settings
Open source and self-hostable
AGPL-3.0 license with 90k+ GitHub stars; full control for compliance
Proprietary core; only example scrapers and tools are open source
Simple setup, minimal config
One API key, one endpoint; productive in minutes
Requires configuring proxy pools, credit budgets, and rendering options per request
Search + scrape in one call
Web search with full content extraction in a single request
No built-in web search; must find URLs externally then scrape individually
Browser interaction (interact endpoint)
Click, fill forms, and navigate pages programmatically before scraping
JS scenarios support click, scroll, and fill — but no dedicated interact endpoint; configuration is per-request
AI agent self-onboarding
Agents choose their integration path and are ready after a single authorization
Requires manual configuration of proxy pools, credit budgets, and rendering options before agents can start
[ 04 / 08 ]
·
Customer Testimonials
[ 05 / 08 ]
·
FAQs

Frequently asked questions

The core difference between Firecrawl and Scrapfly comes down to focus and output. Scrapfly is a web scraping infrastructure platform built around proxy pools, cloud browsers, and credit multipliers — it excels at bypassing anti-bot systems but returns raw HTML by default and requires a separate Extraction API call for structured data. Firecrawl is purpose-built for AI and developer workflows: it returns clean LLM-ready markdown on every request, bundles scrape, search, crawl, browse, and extract under a single API key, and charges 1 credit per scrape with no variable multipliers. When you compare Firecrawl and Scrapfly for AI pipelines or multi-page workflows, Firecrawl is the more complete and predictable solution. Scrapfly is better suited to teams that need deep proxy control and are comfortable managing extraction separately.
Yes. AI agents can self-onboard to Firecrawl by choosing the integration path that fits the task — replacing native fetch and search with Firecrawl's scrape, search, and interact endpoints, or embedding the API directly into the app they're building to give it real-time web data. Once you authorize, they're ready to go. Scrapfly's model requires manual configuration of proxy pools, credit budgets, and rendering options per request, which adds friction to automated agent onboarding workflows.
Yes. Firecrawl returns clean markdown and structured JSON out of the box on every request. Scrapfly returns raw HTML by default and offers markdown as an optional format parameter. For structured extraction, Scrapfly requires a separate Extraction API call with the HTML body, while Firecrawl handles extraction inline with a single request.
No. Scrapfly only offers a single-page scrape endpoint. Firecrawl provides /search (web search with full content extraction), /scrape (single-page with LLM-ready output), and /browser (cloud browser sessions for complex interactions) all in one unified API. With Scrapfly, you would need to find URLs externally, scrape each page individually, and use a separate Extraction API to parse the results.
Firecrawl uses simple credit-based pricing: 1 credit per standard scrape, with plans from $83/month for 100k credits. Scrapfly also uses credits, but the cost per request varies: a basic scrape costs 1 credit, enabling cloud browsers adds 5 credits, and residential proxies add 25 credits. A single request to a protected site can cost 31+ credits, making total costs harder to predict.
Yes. Firecrawl is fully open source under the AGPL-3.0 license with 90k+ GitHub stars and can be self-hosted for complete control over data, compliance, and infrastructure. Scrapfly's core platform is proprietary. They open-source example scrapers and developer tools, but the scraping infrastructure itself cannot be self-hosted.
Most developers are productive in minutes. Firecrawl has one API key, one unified endpoint, and SDKs for Python, Node.js, Go, Rust, and Java. Scrapfly requires configuring proxy pools, credit budgets, and rendering options per request, which provides flexibility but adds setup complexity.
Firecrawl is purpose-built for AI pipelines. It returns clean markdown ready for chunking and embedding, supports structured extraction via prompts or JSON Schema, and lets you search the web, scrape pages, and browse dynamic sites all through one unified API. Scrapfly focuses on web scraping infrastructure (proxies, browsers, rendering) and serves a broader set of use cases. Its AI features are available through a separate Extraction API rather than being integrated into the core scrape flow.
Migrating is straightforward. Replace your Scrapfly API calls (with proxy_pool, render_js, and country parameters) with a single Firecrawl /scrape call that returns clean markdown. No proxy pools to configure, no credit multipliers to calculate, and no separate extraction step. For site-wide scraping, replace your URL discovery logic and per-page scrape loops with a single /crawl call. Firecrawl offers SDKs for Python, Node.js, Go, Rust, and Java. Most teams complete the migration in under a day.
Yes. Firecrawl is SOC 2 Type II compliant with GDPR compliance and DPA available. Enterprise plans include zero data retention and 99.9% SLA. You can self-host for air-gapped environments or use the managed cloud. Over 500,000 developers and 80,000+ companies use Firecrawl.
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