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ScrapeGraphAI vs Octoparse

ScrapeGraphAIOctoparse

Bottom line: ScrapeGraphAI for developers; Octoparse for data analysts.

Natural-language web scraping that extracts structured data with LLMs

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A no-code, point-and-click web scraper with AI auto-detection and cloud extraction

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Votes00
PricingFreemiumFreemium
CategoryWeb ScrapingWeb Scraping
Tags
web-scrapingllmdata-extractionopen-sourceapi
web scrapingno-codedata extractioncloud scrapingtemplates
Best for
  • developers
  • data engineers
  • AI pipeline builders
  • data analysts
  • marketers
  • e-commerce and research teams
Pros
  • Natural-language extraction, no selectors
  • Open-source library with 20,000+ stars
  • Cloud API for teams avoiding infrastructure
  • Resilient to page structure changes
  • Supports multiple LLM backends
  • No-code point-and-click builder
  • AI auto-detection speeds up setup
  • Handles dynamic sites, logins, and CAPTCHAs
  • Cloud extraction with IP rotation and scheduling
  • Hundreds of ready-made templates
Cons
  • LLM extraction can be less precise than hand-coded scrapers
  • Credit-based costs add up at scale
  • Requires volume estimation to control spend
  • Extraction and prompted search cost more credits
  • Best suited to developers
  • Learning curve for complex workflows
  • Task and cloud-capacity pricing can get expensive
  • Scrapers break when sites change layout
  • No real-time team collaboration features
  • Desktop-app centric, no mobile app

Comparison generated from each tool's listing. Add or remove tools above to change it.