Firecrawl vs ScraperAPI vs Apify
Web scraping is one of the highest-demand capabilities for AI agents — and one of the hardest to get right. Anti-bot measures, JavaScript rendering, and rate limiting make every scraping API a different tradeoff between simplicity and power.
Scores from Rhumb AN Score v0.3 · Last updated March 2026
Quick verdict
- → ScraperAPI (7.6) if you need reliable HTML extraction with zero configuration. Highest AN Score. Best overall execution quality.
- → Firecrawl (7.2) if your agent needs to understand web content. Returns markdown, not HTML. Built for LLM workflows.
- → Apify (7.2) if you need structured data from specific platforms. 2,000+ actors for LinkedIn, Amazon, Google Maps, and more.
ScraperAPI
7.6- Execution
- 7.8
- Access
- 7.3
- Confidence
- 58%
- Tier
- L3 Fluent
Firecrawl
7.2- Execution
- 7.6
- Access
- 6.5
- Confidence
- 55%
- Tier
- L3 Fluent
Apify
7.2- Execution
- 7.6
- Access
- 6.5
- Confidence
- 55%
- Tier
- L3 Fluent
ScraperAPI
AN 7.6Highest AN Score in web scraping. Clean REST API, proxy rotation and CAPTCHA solving handled server-side. Strong agent fit for structured data extraction.
Strengths
- + Highest execution score (7.8) in the category
- + Handles proxy rotation and CAPTCHAs transparently
- + Simple REST API — pass a URL, get HTML back
- + JavaScript rendering support for SPAs
- + Geolocation selection for region-specific scraping
Weaknesses
- − Returns raw HTML — agents need to parse it themselves
- − No built-in markdown conversion (unlike Firecrawl)
- − Limited structured extraction compared to Apify actors
Agent Fit
Best for agents that need reliable raw HTML extraction with minimal configuration. The API is simple enough that most agents can call it without custom tooling.
Firecrawl
AN 7.2Purpose-built for AI/LLM workflows. Returns clean markdown instead of raw HTML. The only scraping API that understands what agents actually need from web content.
Strengths
- + Returns markdown by default — ideal for LLM consumption
- + Crawl mode for multi-page extraction
- + Built-in structured data extraction with schemas
- + Map endpoint for sitemap discovery
- + Designed explicitly for AI/agent workflows
Weaknesses
- − Lower access readiness (6.5) — API key management less mature
- − Smaller infrastructure than ScraperAPI or Bright Data
- − Free tier is limited (500 credits/month)
- − Newer service — less battle-tested at scale
Agent Fit
Best for agents that need to understand web pages, not just download them. The markdown output eliminates the HTML-to-useful-text pipeline that other scrapers require.
Apify
AN 7.2Most powerful and most complex. 2,000+ pre-built actors for specific sites (LinkedIn, Amazon, Google Maps). Overkill for simple scraping, unmatched for structured data from specific platforms.
Strengths
- + 2,000+ pre-built actors for specific websites and platforms
- + Full browser automation (Playwright, Puppeteer) for complex flows
- + Built-in data storage and dataset management
- + Webhooks and integrations for pipeline automation
- + Platform-specific extractors (LinkedIn, Google Maps, Amazon) with structured output
Weaknesses
- − Complexity — the actor model has a learning curve
- − Finding the right actor for a task requires browsing a marketplace
- − Per-actor pricing makes cost prediction harder
- − Overkill for simple URL-to-HTML scraping
Agent Fit
Best for agents that need structured data from specific platforms (e.g., LinkedIn profiles, Google search results, e-commerce listings). The actor marketplace is powerful but adds a discovery step.
Which one should your agent use?
"I just need the content of a webpage"
Firecrawl. One API call, markdown back. Your agent can feed it directly to an LLM without parsing HTML. This is the 80% case for agent web access.
"I need to scrape at scale with high reliability"
ScraperAPI. Highest execution score, handles proxy rotation and CAPTCHAs transparently. Built for volume. You'll need to parse the HTML yourself, but the extraction is reliable.
"I need structured data from a specific platform"
Apify. Pre-built actors for LinkedIn, Amazon, Google Maps, Twitter, and hundreds more. The output is structured JSON, not raw HTML. Overkill for general scraping, unmatched for specific platforms.
"I'm not sure — I want the safest bet"
Start with Firecrawl for general web access and add Apify when you hit a platform-specific extraction need. ScraperAPI is the fallback when you need raw HTML at scale.