What kinds of product and price data can Firecrawl capture?

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.

How often can I refresh competitor product datasets?

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.

How do I connect Firecrawl output to the tools my team uses today?

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.

Is Firecrawl suitable for both experiments and ongoing intelligence programs?

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.

Can Firecrawl help identify gaps in our product or pricing strategy?

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.

Introducing /agent. Gather web data with just a prompt. Try it now →

                                                                                                                                                 
                                                                                                                                                 
                                                                                                                                                 
                                                                                                                                                 
                                                                                                                                                 
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2 Months Free — Annually

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.

Used by over 500,000 developers

Trusted by 5000+
companies of all sizes

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.

[ 01 / 03 ]

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.

Scrape endpoint

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.

Batch scrape docs

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.

Extract endpoint

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.

Search endpoint

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.

API reference

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.

[ 02 / 03 ]

What Our Customers Say

Community

People love
building with Firecrawl

Discover why developers choose Firecrawl every day.

Morgan Linton@morganlinton"If you're coding with AI, and haven't discovered @firecrawl yet, prepare to have your mind blown 🤯"

Chris DeWeese@chrisdeweese_"Started using @firecrawl for a project, I wish I used this sooner."

Alex Reibman@AlexReibman"Moved our internal agent's web scraping tool from Apify to Firecrawl because it benchmarked 50x faster with AgentOps."

Tom - Morpho@TomReppelin"I found gold today. Thank you @firecrawl"

Morgan Linton@morganlinton"If you're coding with AI, and haven't discovered @firecrawl yet, prepare to have your mind blown 🤯"

Chris DeWeese@chrisdeweese_"Started using @firecrawl for a project, I wish I used this sooner."

Alex Reibman@AlexReibman"Moved our internal agent's web scraping tool from Apify to Firecrawl because it benchmarked 50x faster with AgentOps."

Tom - Morpho@TomReppelin"I found gold today. Thank you @firecrawl"

Bardia@thepericulum"The Firecrawl team ships. I wanted types for their node SDK, and less than an hour later, I got them."

Matt Busigin@mbusigin"Firecrawl is dope. Congrats guys 👏"

Sumanth@Sumanth_077"Web scraping will never be the same!

Firecrawl is an open-source framework that takes a URL, crawls it, and conver..."

Steven Tey@steventey"Open-source Clay alternative just dropped

Upload a CSV of emails and..."

Bardia@thepericulum"The Firecrawl team ships. I wanted types for their node SDK, and less than an hour later, I got them."

Matt Busigin@mbusigin"Firecrawl is dope. Congrats guys 👏"

Sumanth@Sumanth_077"Web scraping will never be the same!

Firecrawl is an open-source framework that takes a URL, crawls it, and conver..."

Steven Tey@steventey"Open-source Clay alternative just dropped

Upload a CSV of emails and..."

How Firecrawl compares to alternatives

Feature	Firecrawl	Manual CSV uploads	Browser extensions	Generic 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

Tutorials & Guides

How to Build an Automated Competitor Price Monitoring System with Python

Learn how to build an automated price monitoring system in Python to track and compare competitor prices across e-commerce sites.

Read tutorial →

Building an Automated Price Tracking Tool

Learn how to build an automated price tracker in Python that monitors e-commerce prices and sends alerts when prices drop.

Read tutorial →

FAQ

Frequently
asked questions

Everything you need to know about this use case.

General

Technical

Integration

Why Firecrawl?

[ 03 / 03 ]

Pricing

Loading pricing...

[ CTA ]

[ CRAWL ]

[ SCRAPE ]

[ CTA ]

Get started

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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