Apify vs Firecrawl
Detailed side-by-side comparison to help you choose the right tool
Apify
🔴Developerweb data
web scraping, browser automation, and data extraction platform with ready-made Actors for collecting web data for AI workflows.
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FreeFirecrawl
🔴DeveloperWeb data and search API
A web data API that turns sites into clean content for AI systems through scraping, search, and crawling.
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Starting Price
FreeFeature Comparison
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💡 Our Take
Choose Firecrawl if you want a focused, API-first tool that converts URLs to LLM-ready markdown with minimal configuration. Choose Apify if you need a full scraping platform with a marketplace of pre-built actors, scheduled runs, and storage — Apify is more versatile for general scraping workflows but requires more setup for AI-specific output.
Apify - Pros & Cons
Pros
- ✓Huge Actor marketplace shortens build time compared with writing every scraper from scratch
- ✓Good fit for AI pipelines because results land in structured datasets instead of screenshots or brittle copy-paste flows
- ✓Scheduling, proxies, storage, and APIs are bundled, which reduces glue code for production scraping
- ✓MCP support makes Apify more agent-friendly than many traditional scraping tools
Cons
- ✗Costs can rise fast when Actors use heavy browser sessions, proxies, or high-volume datasets
- ✗Marketplace Actor quality varies, so production teams still need monitoring and fallback plans
- ✗Legal and compliance review is still your job; Apify does not make every target site safe to scrape
Firecrawl - Pros & Cons
Pros
- ✓Produces LLM-ready Markdown
- ✓Covers search, scrape, map, and crawl
- ✓Supports rendered pages
- ✓Free 1,000-credit plan
- ✓Clear concurrency limits
Cons
- ✗Advanced work can consume extra credits
- ✗Crawls may collect duplicates
- ✗CAPTCHAs and policies constrain access
- ✗Hosted processing may violate governance requirements
- ✗Interactive pages may require browsers
Not sure which to pick?
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