datawebotFirecrawl alternative for ecommerce product data
Firecrawl and datawebot both turn websites into data your code or agent can use. This page compares them for one job: getting product, price and seller data from online stores.
Updated · datawebot team
At a glance
Firecrawl: a general web scraping and crawling API. It turns any page or whole site into Markdown or JSON, with scrape, crawl, map and search endpoints.
datawebot: An MCP server and API that gives AI agents ecommerce product data: product search across online shops, every seller's price for a product, and extraction Jobs on store pages.
| Topic | datawebot | Firecrawl |
|---|---|---|
| Built for | Ecommerce product data for agents: products, prices, sellers and store catalogues. | Any website: pages and whole sites turned into Markdown or JSON. |
| Coverage | Product search across online shops worldwide. Extraction Jobs on Amazon (10 countries), Walmart US and more than 21,000 online stores. | Any public URL you give it, plus a web search endpoint. |
| Output | Structured product records: title, price, currency, availability, seller and link, with the time each result was retrieved. | Page content as Markdown, HTML or JSON; you define the fields for JSON extraction. |
| Product search | Search products across online shops and list every seller's price for a product, free within a daily allowance. | Web search returns pages, not a product with its seller offers. |
| Pricing model | Search and seller offers are free within a daily allowance. Jobs use credits: 5 per search or catalogue page, 1 per product page. 200 free trial credits; packs from $10, and credits do not expire. | Monthly plans: Free 1,000 credits, Hobby $19 for 5,000, Standard $99 for 100,000, Growth $399 for 500,000. A scrape is 1 credit per page, 5 with JSON output; search is 2 credits per 10 results. |
| Access | MCP for Claude Code, Cursor, Codex, ChatGPT and Claude; a REST API with an API key for your own code. | REST API, SDKs and a hosted MCP server. |
Firecrawl details are from Firecrawl pricing ↗, read on October 24, 2026. Plans change, so check their current page before deciding. datawebot details are from our pricing and the stores datawebot can extract.
When Firecrawl is the better fit
- You need content from many kinds of sites, not only online stores.
- You want whole sites crawled into Markdown for a knowledge base or RAG pipeline.
- You are happy to define and maintain the extraction schema for each site yourself.
When datawebot is the better fit
- Your question is about products: who sells it, at what price, and whether it is in stock.
- You want the same product fields from Amazon, Walmart and thousands of online stores without writing a schema per store.
- You want your agent to search products across shops and compare seller offers in one call.
Run a fair test
- Pick three products you track and one store search page you care about.
- Write down the fields you need: price, currency, availability, seller and variant.
- Ask each tool for the same products and pages, and compare completeness, how much clean-up the output needs, and the cost per useful record.
A few useful answers.
Is datawebot a Firecrawl replacement?
For ecommerce product data, yes. For general web content such as articles, documentation or whole-site crawls, Firecrawl is built for that and datawebot is not.
How do the prices compare?
Firecrawl sells monthly credit plans and charges per page fetched. datawebot's product search and seller offers are free within a daily allowance, and extraction Jobs are paid in credits per page from packs that do not expire. The cheaper option depends on how many product pages you need each month.
Can I use both?
Yes. You can use a general crawler for content and datawebot for products and prices. Both connect to agents through MCP.