Scraping & Search

Firecrawl vs Apify: Which MCP should you use?

🔥

Firecrawl

LLM-ready web scraping API

VS
🕷️

Apify

Scraping platform with 2000+ actors

TL;DR

Firecrawl is the new LLM-era scraping API — hit one URL, get back clean Markdown ready for RAG. Apify is the veteran platform with 2000+ pre-built 'actors' for specific sites (LinkedIn, Amazon, Google Maps, etc.) and more general workflow tooling. Firecrawl wins for 'crawl a site and feed an LLM'; Apify wins for 'scrape LinkedIn profiles at scale'.

Firecrawl: 3 winsApify: 3 wins2 ties
🔥

Pick Firecrawl

Pick Firecrawl when you want LLM-ready Markdown from arbitrary URLs with minimal code.

🕷️

Pick Apify

Pick Apify when you need battle-tested actors for big sites (LinkedIn, Amazon, TikTok, etc.).

Feature-by-feature comparison

LLM-ready output

A

Firecrawl

Markdown / JSON

Apify

Raw HTML + configurable

Pre-built site actors

B

Firecrawl

No

Apify

2000+

JS rendering

Tie

Firecrawl

Yes, default

Apify

Yes

Proxy rotation

B

Firecrawl

Built-in

Apify

Residential + datacenter

Crawl entire site

A

Firecrawl

Native /crawl endpoint

Apify

Web Scraper / Puppeteer Scraper

Price per 1000 pages

Tie

Firecrawl

~$2-5

Apify

~$1-10 depending on actor

DX / API simplicity

A

Firecrawl

Simple REST

Apify

REST + actor store

Advanced workflow

B

Firecrawl

Limited

Apify

Full orchestration

🔥

Best for

Firecrawl

  • LLM-ready output: Markdown / JSON
  • Crawl entire site: Native /crawl endpoint
  • DX / API simplicity: Simple REST
🕷️

Best for

Apify

  • Pre-built site actors: 2000+
  • Proxy rotation: Residential + datacenter
  • Advanced workflow: Full orchestration

Migration path

Most of the time you'll use both. If migrating Apify → Firecrawl: replace actor calls with firecrawl.scrape_url() — works great for generic sites, worse for sites with heavy anti-bot (LinkedIn, Amazon) where Apify's actors have accumulated anti-detection tricks. Firecrawl → Apify: wrap Firecrawl calls in your own actor, or pick a specialized actor for known sites.

Frequently asked questions

What is the main difference between Firecrawl and Apify?

Firecrawl is the new LLM-era scraping API — hit one URL, get back clean Markdown ready for RAG. Apify is the veteran platform with 2000+ pre-built 'actors' for specific sites (LinkedIn, Amazon, Google Maps, etc.) and more general workflow tooling. Firecrawl wins for 'crawl a site and feed an LLM'; Apify wins for 'scrape LinkedIn profiles at scale'. In short: Firecrawl — LLM-ready web scraping API. Apify — Scraping platform with 2000+ actors.

When should I pick Firecrawl over Apify?

Pick Firecrawl when you want LLM-ready Markdown from arbitrary URLs with minimal code.

When should I pick Apify over Firecrawl?

Pick Apify when you need battle-tested actors for big sites (LinkedIn, Amazon, TikTok, etc.).

Can I migrate from one to the other?

Most of the time you'll use both. If migrating Apify → Firecrawl: replace actor calls with firecrawl.scrape_url() — works great for generic sites, worse for sites with heavy anti-bot (LinkedIn, Amazon) where Apify's actors have accumulated anti-detection tricks. Firecrawl → Apify: wrap Firecrawl calls in your own actor, or pick a specialized actor for known sites.

Do Firecrawl and Apify both work with MCP-compatible AI agents?

Yes. Both have MCP servers installable via MCPizy (mcpizy install firecrawl and mcpizy install apify). They work identically across Claude Code, Claude Desktop, Cursor, Windsurf, and any other MCP-compatible client. You can install both side by side and route queries in your agent's prompt.

Install both with MCPizy

Not sure? Run both side by side — swap between them in your AI agent with a single config line.

$mcpizy install firecrawl && mcpizy install apify
Free to install. Swap between them in your agent config.