Compare tools
Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
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Apify
✓ verifiedFreemium
Full-stack platform for web scraping, data extraction, and automation; category leader.
4.4M visits/mo2.0K saves
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Zapier MCP
✓ verifiedFreemium
Widely used no-code automation platform connecting thousands of apps, now extended with AI agents, chatbots, and an MCP server.
6.0M visits/mo
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Gumloop
✓ verifiedFreemium
No-code platform for building and running AI agents that automate work across data, sales and support tasks.
701K visits/mo
Pricing
No public 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
Pro: $37/month (20k+ credits/month, unlimited seats)
No public pricing
Core features
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- ✦Web scraping
- ✦Data extraction
- ✦Browser automation
- ✦AI agents
- ✦Anti-blocking
- ✦Proxy rotation
- ✦Open-source tools (Crawlee)
- ✦Ready-made tools and code templates
- ✦Zap workflows linking triggers and actions across 9,000+ apps
- ✦No-code AI agent builder for task-specific assistants
- ✦Chatbots for answering customer questions with AI
- ✦Canvas for visually planning and mapping workflows
- ✦Tables for storing data that workflows can read and update
- ✦Forms for capturing inputs that trigger automations
- ✦Zapier MCP server to connect AI chat tools to app integrations
- ✦Visual canvas to orchestrate multi-agent workflows
- ✦Prebuilt specialized agents (data, support, CRM, sales)
- ✦Access to many AI models with no vendor lock-in
- ✦Slack, Teams and email agent interaction
- ✦Recurring/scheduled tasks and triggers
- ✦Enterprise security: RBAC, VPC, audit logs, spend controls
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
Use cases
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- →Data for generative AI
- →Lead generation
- →Market research
- →Sentiment analysis
- →Teams automating cross-app workflows without engineering resources
- →RevOps/Sales teams routing leads and updating CRMs automatically
- →Support teams deploying AI chatbots for common questions
- →Developers connecting AI coding agents to thousands of apps via MCP
- →Automate data analysis and reporting
- →Triage support tickets and spot patterns
- →Keep a CRM updated and research prospects
- →Deploy AI agents across a team's tools
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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