Apify vs Firecrawl vs Browserbase

Web scraping and automation tools compared

Three tools for extracting web data with different approaches to crawling and browser automation.

The contenders

Each pick links through to its full Directories entry.

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not yet in the index

Complex scraping projects needing distributed crawling

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not yet in the index

Fast API-based scraping with simple setup

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not yet in the index

Projects requiring full browser automation

Same criteria, three answers. The verdict is opinionated and lives below the table.

Criterion	apify	firecrawl	browserbase
Primary Use Case	Web scraping at scale with pre-built actors	API-first web scraping with minimal setup	Browser automation with real Chrome instances
Pricing Model	Pay-as-you-go with compute credits	API calls with free tier	Per-minute browser usage
JavaScript Execution	Supports headless browsers	Limited JS support	Full Chrome browser with JS
Learning Curve	Medium (requires some coding)	Low (simple API calls)	Medium (browser automation knowledge)
Proxy Management	Built-in proxy rotation	Basic proxy support	Advanced proxy configurations
Data Output Formats	JSON, CSV, Excel, databases	JSON only	JSON, screenshots, PDFs

Apify wins for large-scale distributed scraping projects

Firecrawl is simplest for quick API-based extractions

Browserbase is best when you need real browser interactions

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