Introducing /interact. Scrape any page, then let your agent take over to click, type, and extract data for you. Try it now →
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Firecrawl vs. Bright Data

Bright Data gives you data.
Firecrawl gives you AI-ready data.

Most teams switching from Bright Data to Firecrawl ship faster and spend less.
One API, clean markdown output, and pricing that doesn't punish you for scaling.

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Canva logo
Apple logo
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Gamma logo
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[ 01 / 08 ]
·
Why Firecrawl

See why teams choose
Firecrawl over Bright Data.

When comparing Firecrawl vs Bright Data, the difference comes down to clean data, simple pricing, and speed out of the box.

apple.com
Endpoint
Scrape
Status
Success
Started
Mar 16, 2026
2:51 PM
Formats
Markdown
JSON

Clean, reliable data for AI pipelines

Firecrawl turns any URL into clean, structured data your AI agents can use directly. Interact with pages before scraping — click, fill forms, navigate — all in one API, unlike Bright Data where browser interaction is a separate product.

See use cases
Pages scraped
Last 7 days
1.2M
Mar 12
48,200 credits
03/0903/1203/16

Predictable pricing that scales

Firecrawl charges one credit per scrape with no surprise bills. Bright Data's per-GB, per-request, and per-record billing across multiple products makes costs harder to predict at scale.

See pricing
URL
Crawl
Scrape
acme.com/pricing
312ms
287ms
docs.example.io
445ms
391ms
blog.corp.dev/ai
528ms
462ms
shop.store/items
376ms
341ms
news.site/latest
489ms
418ms
app.saas.co/api
298ms
264ms

Sub-second response times

Firecrawl is optimized for real-time agent workflows. Bright Data requests route through proxy and unblocking layers, adding latency overhead to every call.

See benchmarks
[ 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. Bright Data

Firecrawl is purpose-built for
AI agents and developers.

In any Firecrawl vs Bright Data comparison, the difference comes down to LLM-ready output, transparent pricing, a unified API, and agent onboarding that takes seconds — not weeks of infrastructure setup.

Firecrawl
Bright Data
Real-time web data
Live content the moment you need it
Continuous data collection
JS / React rendering
Live browser rendering at no extra cost, every plan
Supported via Browser API
Browser interaction (interact endpoint)
Click, fill forms, and navigate pages programmatically before scraping
Supported via Browser API — separate product with additional setup
Batch processing
High-volume requests with automatic rate limiting
Batch processing
LLM-ready output by default
Clean markdown & structured JSON, no post-processing
Markdown available but not the core focus
Predictable credit-based pricing
From $83/mo for 100k credits; 1 credit per standard scrape
Multiple billing models; hard to predict costs at scale
Fast response times
Returns results in <1 second
Latency varies; includes proxy routing and unblocking overhead
Simple setup, minimal expertise
Developer-friendly API; productive in minutes, not weeks
More products and config options; steeper learning curve
Open source + self-hostable
Full control for compliance, data residency & infra
Proprietary core; some open-source tooling (Proxy Manager)
AI agent self-onboarding
Agents choose their integration path and are ready to go after a single authorization
Requires zone configuration, proxy type selection, and separate product setup
Search + extract in one API call
Unified pipeline; no separate extraction step needed
Crawl API, SERP API, Web Scraper, proxies - separate products to configure
[ 04 / 08 ]
·
Customer Testimonials
[ 05 / 08 ]
·
FAQs

Frequently asked questions

The core difference between Firecrawl and Bright Data is focus. Firecrawl is purpose-built for developers and AI teams — it returns clean, LLM-ready markdown through a single unified API, with credit-based pricing that's easy to predict. Bright Data is a broad data platform covering proxies, datasets, SERP APIs, and retail intelligence — powerful, but designed for a much wider range of use cases than AI pipelines. If you're building an AI agent, RAG pipeline, or data extraction workflow, Firecrawl's developer-first design, open-source codebase, and sub-second response times make it the faster path to production.
Yes. Firecrawl was built from day one for AI - it returns clean markdown and structured JSON out of the box with no post-processing needed. Bright Data supports markdown via their Web Unlocker and Crawl APIs, but their platform spans proxies, datasets, and retail intelligence - markdown is one output mode among many rather than the core focus.
Firecrawl uses credit-based pricing starting at 1 credit per page for standard scrapes, with plans from $83/month for 100k credits. Bright Data uses multiple billing models (per-GB, per-request, per-record) across different products, which can make it harder to predict costs at scale.
Yes. Firecrawl is fully open source under the AGPL-3.0 license and can be self-hosted for complete control over your data, compliance, and infrastructure. Bright Data's core scraping infrastructure is proprietary, though they do offer some open-source tooling like their Proxy Manager.
Most developers are productive in minutes. Firecrawl's API is developer-friendly with comprehensive docs, SDKs for all major languages, and a playground for testing. Bright Data offers more products and configuration options, which provides flexibility but comes with a steeper learning curve.
Firecrawl is optimized for speed. In independent benchmarks using 1,000 URLs, Firecrawl achieved a 96% coverage rate with a 0.638 F1 accuracy score. Bright Data requests route through proxy and unblocking layers, which adds latency overhead to every call.
Yes. Firecrawl provides a unified API - scrape, search, browse, crawl, and map all through one platform. Bright Data offers similar capabilities across their Crawl API, SERP API, Web Scraper, and proxy products, but each is a separate product with its own configuration and billing.
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. Bright Data supports agent use cases but requires configuring zones, proxy types, and separate products, which adds friction to automated onboarding flows.
Firecrawl is purpose-built for AI pipelines. It returns clean markdown ready for chunking and embedding, with structured extraction via natural language prompts or JSON Schema. Bright Data has invested in AI use cases including a Crawl API and MCP server, but their platform serves a much broader set of needs - from proxy infrastructure to retail intelligence - so the AI developer experience is less focused.
Migrating is straightforward because Firecrawl dramatically simplifies your stack. Replace your Bright Data zone configuration, proxy setup, and product-specific API calls with a single Firecrawl API key and one unified endpoint. For example, if you're using Bright Data's Web Unlocker for scraping, you can replace the entire request — proxy credentials, zone headers, and HTML parsing logic — with a single call to Firecrawl's /scrape endpoint that returns clean markdown. Firecrawl offers SDKs for Python, Node.js, Go, Rust, and Java, so you can swap in a few lines regardless of your language. Most teams complete the migration in under a day since there are no zones to configure, no proxy types to choose, and no separate products to wire together.
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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