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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

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

5.2K saves
21K visits/mo
Vespa logo
Vespa
✓ verifiedFree trial

Open-source AI search and vector database platform for building large-scale search, RAG, and recommendation systems.

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

No public pricing

DEVELOPER: FREE
STARTER: $119 / month
GROWTH: $599 / month
ENTERPRISE: Starting at $1,800 / month

No public pricing

Free trial available

Core features
  • 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)
  • Digital Asset Management (DAM)
  • Media Asset Management (MAM)
  • AI-powered automation
  • Cloud, on-premises, or hybrid deployments
  • Integration with Adobe Creative Cloud, Cinema 4D, Sketch, and more
  • Version control
  • Fast search
  • Custom brand portals
  • Analytics
  • Developer-first platform for AI-powered integrations
  • Secure, isolated sandboxes for running JavaScript/Python code
  • Automatic management of npm/PyPI dependencies
  • Built-in platform plumbing: secrets, webhooks, scheduling, logs, and audit
  • Yep Agent (prompt → runnable processes)
  • MCP Server/Tools (convert code into AI agent tools)
  • Serverless runtime (YepCode Run) and SDK access
  • Combined vector, text, and structured search
  • Distributed machine-learned ranking at query time
  • Streaming search mode for cost-efficient personal/private data
  • Support for retrieval-augmented generation pipelines
  • Continuous deployment and automated scaling
  • Open-source core with a managed cloud option
Use cases
  • 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
  • Managing work-in-progress images, graphics, layouts, and documents.
  • Automating video workflows, including transcoding and archiving.
  • Identifying objects, faces, logos, and scenes in media using AI.
  • Generating speech-to-text for search and closed captioning.
  • Creating rough video cuts instantly with AI.
  • Managing campaign assets and distributing them to various endpoints.
  • Enabling secure collaboration for remote and on-premises teams.
  • Building complex API integrations that require custom code and logic beyond what no-code tools offer.
  • Safely running AI-generated scripts in isolated environments with secrets management.
  • Automating workflows that require large datasets, loops, branching, or custom dependencies.
  • Connecting AI agents to external databases, APIs, and services using MCP tools.
  • Building large-scale enterprise search engines
  • Powering RAG pipelines that need strong retrieval relevance
  • Building recommendation and ad-targeting systems
  • Search over personal/private data at lower indexing cost
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