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Zenrows vs Refractr

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Zenrows compared with Refractr
Detail ZenrowsRefractr logo Refractr
What it doesReliable web data for AI Extract structured JSON from invoices, emails and PDFs with one API call
StageEstablished Not given
FoundedNot given Not given
Based inES NL
Pricing modelFreemium Freemium
PricingNot given Free tier: 100 free extractions per day. Pay as you go: €1 = 200 credits, one credit per extraction, top up from €5. Scans and photos with OCR: 2 credits.
Key features
  • Fetch - returns any page as clean HTML, Markdown, or JSON
  • Extract - auto-detect structured data from pages without selectors
  • Batch - process thousands of URLs asynchronously with retries and webhooks
  • Browser Sessions - drive a real browser for clicks, forms, and logins
  • MCP Server - integrate with Claude, Cursor, and other AI assistants
  • SDKs for Python, Node.js, and Go
  • CLI for terminal access
  • Handles protected sites and anti-bot systems
  • Custom-trained extraction model, not an LLM wrapper
  • Processes multiple document formats: PDF, DOCX, ODT, JPG, PNG, TIFF, WEBP, BMP, TXT
  • Confidence scores for each extracted field
  • Type-guaranteed fields that return correct type or null, never empty strings or mistyped values
  • No schema compilation or warm-up required
  • Approximately 500ms median response time per document
  • Flat pricing regardless of document or schema size
  • Failed extractions are free
  • Optional data training program that increases free daily limit
  • Automatic 30-day data deletion policy by default
What makes it different
  • Reaches protected pages and anti-bot systems that other tools cannot access
  • One unified platform for all web data tasks instead of maintaining multiple tools
  • No selectors or parsers to maintain; automatically adapts when sites change
  • Ships with open source clients and works directly with AI agents via MCP server
  • 8x faster than any more accurate competitor system
  • 0.0% invalid JSON responses, matching top open-source models
  • 84.3 accuracy index, outperforming most LLM APIs on extraction tasks
  • Purpose-built extraction model, not a general-purpose LLM wrapper
  • Data never sold or shared, trainable only by explicit opt-in
Community votes00
DR (Domain Rating by Ahrefs)71 −1 (down) since last check3 +1 (up) since last check
Trust Flow (Majestic)301
Citation Flow (Majestic)4918
Referring domains (Majestic)18648

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