Toolspool.ai

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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.

👁 122K/mo
Apify
✓ verifiedFreemium

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

👁 4.4M/mo2.0K

Thin 'Lingbot-map' agent listing on github.com with zero traffic; too thin to tell.

5.2K

AI documentation generator for GitHub repos with a conversational interface; very high traffic from Cognition.

👁 1.2M/mo
Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month
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

No public pricing

Core features
  • Integration with Notion databases
  • Unlimited fields and submissions
  • Customizable form styling
  • Conditional logic and validation rules
  • Ready-made form templates
  • File uploads
  • Multi-page forms
  • Email, Slack, and Discord notifications
  • Submission editing
  • Form protection (password, captcha)
  • Web scraping
  • Data extraction
  • Browser automation
  • AI agents
  • Anti-blocking
  • Proxy rotation
  • Open-source tools (Crawlee)
  • Ready-made tools and code templates
  • 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)
  • AI-powered documentation generation
  • Conversational interface for interacting with documentation
  • Codebase structure understanding
  • Up-to-date documentation for GitHub repositories
Use cases
  • Guest blog submission forms
  • Event attendee check-in forms
  • Customer satisfaction surveys
  • Patient intake forms
  • Photography quotation requests
  • Equipment rental requests
  • Photo shoot permit requests
  • Data for generative AI
  • Lead generation
  • Market research
  • Sentiment analysis
  • Creating and manipulating datasets
  • Training small machine learning models
  • Implementing advanced training and inference logic
  • Building applications that require tensor computations
  • Understanding the structure and functionality of a GitHub repository through interactive documentation.
  • Quickly accessing information about a codebase without having to read through all the code.
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