Apify score factors
Editorial quality82
Practical utility88
Trust & transparency85
Freshness88
Engagement quality0
Momentum50
Decision guide · Reviewed Sep 8, 2026 · AI Automation & Workflows, AI Web Scraping & Data Extraction
Apify
76.2
Firecrawl
77.4Choose Apify when you need developers and AI engineers needing managed web scraping, scheduled data collection pipelines, and MCP-ready tools for AI agents. Choose Firecrawl when you need engineers and AI developers looking to feed clean markdown, structured JSON, or interactive web automation into LLMs and coding agents.
At a glance
The practical differences
| Decision factor | Apify | Firecrawl |
|---|---|---|
| Best for | developers and AI engineers needing managed web scraping, scheduled data collection pipelines, and MCP-ready tools for AI agents | engineers and AI developers looking to feed clean markdown, structured JSON, or interactive web automation into LLMs and coding agents |
| Not ideal for | non-technical users looking for simple one-off visual screen scrapers without credit-based compute management | non-technical users looking for a visual point-and-click browser scraper without developer tools or API configuration |
| Pricing | At the review date on 2026-09-08, Apify offers a free plan with $5 in monthly platform credits, followed by Starter ($19/mo), Scale ($199/mo), and Business ($999/mo) with pay-as-you-go overage. Costs depend on compute units, storage, and proxies used. Please verify current rates on the official pricing page. | At the review date (September 2026), Firecrawl offers a free tier with 1,000 monthly credits. Paid plans start at $16/month (billed annually) for Hobby, $83/month for Standard, $333/month for Growth, and $599/month for Scale, alongside custom Enterprise pricing. Additional usage is charged via $5 pay-as-you-go credit increments. Confirm current rates on the official pricing page. |
| Key difference | Unlike basic point-and-click scraping extensions, Apify combines a massive store of 69,000+ pre-built Actors with dedicated developer infrastructure, Crawlee open-source libraries, native proxy rotation, anti-blocking mechanisms, and native MCP server support for AI agent execution. | Unlike generic scrapers that output raw HTML and require manual parsing, Firecrawl outputs clean markdown optimized for LLM token budgets, extracts data via custom JSON schemas, and offers browser interaction endpoints with native MCP server support. |
| Overall rank | #140 | #85 |
| Review verdict | Apify is an excellent choice for developers, data engineers, and AI teams needing reliable, scalable web scraping pipelines with proxy management and MCP support. It is less suited for non-technical users seeking pure visual no-code extraction without dealing with compute credits or proxy configurations. | Firecrawl suits software developers and AI engineers who need reliable, pre-cleaned web data and interactive browser execution for agents and RAG pipelines. It is not designed for non-technical users seeking a visual no-code scraping interface without code or API calls. |
Firecrawl score factors
Editorial quality82
Practical utility92
Trust & transparency85
Freshness90
Engagement quality0
Momentum50
Apify strengths
- Marketplace with over 69,000 ready-to-run scrapers for major web platforms
- Built-in anti-blocking, unblockers, and residential/datacenter proxy pools
- Direct MCP support allowing LLM agents and clients to call scraping tools
- Robust open-source ecosystem powered by Crawlee with JS and Python templates
Firecrawl strengths
- Returns LLM-ready markdown and structured JSON rather than raw HTML
- Handles dynamic JavaScript rendering, proxies, and smart wait states automatically
- Offers official SDKs across six languages, a CLI, and direct MCP server integration
- Open-source core with transparent community development on GitHub
- Free plan includes 1,000 monthly credits with no credit card required
Frequently asked
Apify vs Firecrawl
Should I choose Apify or Firecrawl?+
Choose Apify when you need developers and AI engineers needing managed web scraping, scheduled data collection pipelines, and MCP-ready tools for AI agents. Choose Firecrawl when you need engineers and AI developers looking to feed clean markdown, structured JSON, or interactive web automation into LLMs and coding agents. ToolsRank scores Apify 76.2 and Firecrawl 77.4; the gap reflects editorial quality, utility, trust, and freshness, not popularity or payment.
Is Apify cheaper than Firecrawl?+
Apify: At the review date on 2026-09-08, Apify offers a free plan with $5 in monthly platform credits, followed by Starter ($19/mo), Scale ($199/mo), and Business ($999/mo) with pay-as-you-go overage. Costs depend on compute units, storage, and proxies used. Please verify current rates on the official pricing page. Firecrawl: At the review date (September 2026), Firecrawl offers a free tier with 1,000 monthly credits. Paid plans start at $16/month (billed annually) for Hobby, $83/month for Standard, $333/month for Growth, and $599/month for Scale, alongside custom Enterprise pricing. Additional usage is charged via $5 pay-as-you-go credit increments. Confirm current rates on the official pricing page. Compare the plan you would actually use and verify current prices on each vendor's pricing page before purchasing.
Which is better for ai automation & workflows?+
Firecrawl currently scores higher for ai automation & workflows work. Apify remains the stronger pick when your priority is developers and AI engineers needing managed web scraping, scheduled data collection pipelines, and MCP-ready tools for AI agents. Avoid Firecrawl if you are non-technical users looking for a visual point-and-click browser scraper without developer tools or API configuration.
Can I use Apify and Firecrawl together?+
Yes. Apify stands out for unlike basic point-and-click scraping extensions, Apify combines a massive store of 69,000+ pre-built Actors with dedicated developer infrastructure, Crawlee open-source libraries, native proxy rotation, anti-blocking mechanisms, and native MCP server support for AI agent execution. Firecrawl stands out for unlike generic scrapers that output raw HTML and require manual parsing, Firecrawl outputs clean markdown optimized for LLM token budgets, extracts data via custom JSON schemas, and offers browser interaction endpoints with native MCP server support. Pairing them makes sense when one workflow needs both strengths; otherwise pick the tool that matches your primary job.