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.

Browser Use
✓ verifiedFreemium

Open framework letting AI control browsers to automate and extract web data.

👁 540K/mo
PhantomBuster
Free trial

Cloud automations that scrape and enrich leads from LinkedIn and 15+ platforms; best for sales teams automating outreach.

👁 503K/mo

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

5.2K
Pricing
API only: $0/month
API + UI: $30/month
Enterprise: $Yes/month
Start: $56 /mo (billed annually at $672)
Grow: $128 /mo (billed annually at $1,536)
Scale: $352 /mo (billed annually at $4,224)

Free trial available

No public pricing

Core features
  • Vision + HTML Extraction
  • Multi-tab Management
  • Element Tracking
  • Custom Actions
  • Self-correcting
  • Any LLM Support
  • Pre-built automations (Phantoms) for 15+ platforms
  • Real-time lead data extraction from LinkedIn, Sales Navigator, Google, Instagram, Meta, and X
  • Lead enrichment with 1,000+ live data points
  • AI-personalized LinkedIn messaging and outreach flows
  • Email credits and URL finder credits
  • HubSpot CRM sync
  • MCP server for Claude, ChatGPT, and more
  • Chrome extension
  • 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
  • Automating web interactions for AI agents
  • Extracting structured data from websites
  • Building custom agents tailored to specific needs
  • Enabling LLMs to browse the web
  • Extracting lists of leads from LinkedIn, Sales Navigator, and other social platforms
  • Enriching existing lead lists and monitoring job changes and engagement
  • Automating personalized LinkedIn connection requests and messages at scale
  • Filtering and scoring leads against an ideal customer profile
  • Syncing lead lists to HubSpot with one click
  • 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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