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E-commerce &
Product Intelligence

Turn competitor pages into structured data your product and pricing teams can query.
Firecrawl automates product, price, and content extraction for e-commerce.

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Used by over 500,000 developers
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Trusted by 80,000+
companies
of all sizes
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10x
faster market monitoring
100k+
products tracked per run
24/7
scheduled competitor refreshes

Perfect for

Product intelligence teams

Compare competitor catalogs and positioning using structured datasets instead of manual browsing.

Pricing and packaging

Track price changes, discounts, and availability signals over time for key competitors.

Merchandising and category strategy

Extract categories, attributes, and bundles to understand how the market organizes products.

Voice of customer

Monitor reviews and UGC to surface recurring pain points and feature requests across the category.

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Use Cases
Price Monitor
Wireless Headphones
vs Amazon
Your Price
$89.99
$5 better
Amazon
$94.99
Smart Watch Pro
vs Best Buy
Your Price
$249.99
Same price
Best Buy
$249.99
USB-C Cable 6ft
vs Walmart
Your Price
$12.99
$3 higher
Walmart
$9.99

How it works

Build a competitor dataset

Scrape competitor product catalogs, pricing pages, and marketplaces into a single structured dataset so product and pricing teams can compare offerings side by side without maintaining their own scrapers.

Track changes over time

Track price changes, discounts, and stock status over time so you can see how competitors move around launches, promotions, and seasonality instead of relying on one-off checks.

Extract product attributes

Extract attributes like categories, specifications, bundles, and badges so roadmap and merchandising decisions reflect how the market actually organizes and positions products.

Monitor customer feedback

Monitor reviews and user-generated content so you see what customers praise or complain about across your category in one place instead of hopping across sites.

Send insights to your tools

Pipe Firecrawl data into internal analytics, dashboards, or pricing engines so insights show up where product and revenue teams already work, not in separate scraping tools.

Reuse extraction patterns

Reuse extraction patterns to populate your own marketplaces or channel feeds from supplier and partner sites so new integrations become configuration, not a fresh scraping project.

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What Our Customers Say
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Community
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People love
building with Firecrawl

Discover why developers choose Firecrawl every day.

How Firecrawl compares to alternatives

FeatureFirecrawlManual CSV uploadsBrowser extensionsGeneric scrapers
Structured markdown output
Automatic scheduling & refresh
JavaScript rendering
URL metadata preserved
Multi-tenant scoping
API-first integration
Built-in rate limiting & retries
No manual intervention required
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FAQ
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Frequently
asked questions

Everything you need to know about this use case.
General
Firecrawl can collect fields like product titles, descriptions, specs, categories, prices, discounts, availability, and review text from public pages—and any other attributes you choose to extract. That data arrives in structured JSON so your teams can query, join, and model it alongside your internal product and revenue data.
You can schedule crawls as frequently as your use case requires—from daily price checks to weekly or monthly catalog refreshes. Many teams run frequent crawls for key competitors and less frequent updates for the broader market.
Technical
Teams usually pipe Firecrawl output into warehouses, BI tools, notebooks, or custom dashboards. Because the data includes URLs and structured fields, it is straightforward to join with internal product, revenue, and customer tables.
Firecrawl supports both one-off analysis projects and long-running monitoring. You can start with a small experiment on a subset of competitors, then move successful setups into scheduled crawls and production pipelines once you see useful signal.
Integration
Yes. By comparing Firecrawl datasets across competitors, you can spot missing features, underserved segments, and pricing patterns. Teams feed those findings directly into roadmap, packaging, and positioning decisions.
Why Firecrawl?
The world's most comprehensive web data API. Our custom browser stack and semantic index deliver superior data quality across any website, handling more content types and edge cases than any competitor.
JavaScript rendering, dynamic content, and robust request handling built-in.
Process millions of pages with automatic rate limiting, caching, and distributed infrastructure.
Optimized scraping engine with parallel processing and smart caching for instant results.
Comprehensive docs, SDKs for all major languages, and dedicated support to help you succeed.
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Pricing
Loading pricing...
[ MAP ]
[ AGENT ]
[ SCRAPE ]
[ SEARCH ]
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Get started
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Ready to make data-driven product decisions?
Start monitoring your market with real-time product intelligence.
FOOTER
The easiest way to extract
data from the web
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