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ScrapeGraphAI vs Bright Data

ScrapeGraphAIBright Data

Bottom line: ScrapeGraphAI for developers; Bright Data for enterprises.

ScrapeGraphAIScrapeGraphAI

Natural-language web scraping that extracts structured data with LLMs

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Bright DataBright Data

Enterprise web data platform with proxies, scraping APIs, and ready datasets

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Votes00
PricingFreemiumPaid
CategoryWeb ScrapingWeb Scraping
Tags
web-scrapingllmdata-extractionopen-sourceapi
web-scrapingproxiesdatasetsdata-collectionenterprise
Best for
  • developers
  • data engineers
  • AI pipeline builders
  • enterprises
  • data teams
  • ai companies
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
  • Massive, reliable proxy network
  • Multiple abstraction levels from proxies to datasets
  • Strong compliance and responsible-data focus
  • Scraping APIs for difficult, protected sites
  • Prebuilt datasets available for purchase
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
  • No free plan
  • Complex, usage-based pricing that can spike
  • Steep learning curve for the full platform
  • Overkill and costly for small projects
  • Requires care to stay within compliant use

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