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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

Apify logo
Apify
✓ verifiedFreemium

Full-stack platform for web scraping, data extraction, and automation; category leader.

4.4M visits/mo2.0K saves
Intercom logo
Intercom
✓ verifiedPaid

AI-first customer-service helpdesk built around the Fin AI agent, for support teams handling omnichannel conversations.

3.1M visits/mo
Mintlify logo
Mintlify
✓ verifiedFreemium

Documentation and knowledge platform that keeps developer docs self-updating and queryable by AI agents.

718K visits/mo
1.5M visits/mo
Pricing
Free: $0/mo ($5 included usage)
Starter: $29/mo ($26/mo billed annually)
Scale: $199/mo ($179/mo billed annually)
Business: $999/mo ($899/mo billed annually)

Free trial available

No public pricing

Free trial available

Starter: $0/mo (individuals and small teams)

Free trial available

Free Plan: $0 one-time
Hobby: $16/month
Standard: $83/month
Growth: $333/month
Auto Recharge Credits: $11/mo for 1000 credits
Credit Pack: $9/mo for 1000 credits
Enterprise Plan: Contact for Pricing
Core features
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • Fin AI agent for customer service
  • Omnichannel agent inbox
  • AI-assisted ticketing
  • Copilot agent assistant
  • AI conversation insights and scoring
  • No-code automations
  • Self-updating documentation
  • Web-based documentation editor
  • Custom domain hosting
  • Built-in search and API playground
  • MCP server for agent access
  • Authentication and access controls
  • Web scraping
  • Web crawling
  • Data extraction in Markdown, JSON, and screenshot formats
  • Dynamic content handling
  • Rotating proxies
  • Rate limits management
  • Open-source availability
  • Media Parsing
Use cases
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Automating customer support with AI
  • Assisting human agents in real time
  • Routing and resolving tickets
  • Analyzing support quality and trends
  • Publish and maintain developer documentation
  • Expose docs to AI agents via MCP
  • Host a branded docs site on a custom domain
  • Give teams a collaborative doc editor
  • Powering AI assistants with real-time web content
  • Enhancing sales data with web information
  • Adding scraping capabilities to code editors
  • Enabling customers to build AI apps with web data
  • Extracting comprehensive information for in-depth research
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