"Transform web and document data into actionable insights with AI-driven, flexible scraping."
Typical plan: $80 / month
Transform web and document data into actionable insights with AI-driven, flexible scraping.
Based on user reviews
Rating Distribution
Megan Callahan
3 months ago
Set up ScrapeGraphAI for market analysis projects last month. The graph-based pipelines and LLM integration are impressive, adapting fast to tricky site changes. Still, the learning curve is pretty steep unless you're comfortable with Python.
Albert Schaper(Artificial Intelligence, AI Tools)
Albert Schaper has reviewed ScrapeGraphAI for Data Analytics, rating it 4.0/5 based on 1 user review. This tool is particularly well-suited for artificial intelligence use cases, making it a strong choice for software developers in this field.
Pricing: $0 – $500 / month(Updated November 2025)
Free includes 50 credits/month; Starter at $20/month, Growth at $80/month, Pro at $500/month; higher or custom tiers available on request.
Usage Model: API Calls, Pay-as-You-Go — ensuring you only pay for what you actually use.
ScrapeGraphAI's free tier enables software developers to experience data analytics capabilities at no cost. The free plan provides essential functionality that's ideal for learning and initial testing. Paid plans expand capabilities significantly, offering advanced features, higher capacity, and dedicated support for software developers with professional data analytics requirements.
ScrapeGraphAI is an open-source Python library that automates web and local file data extraction using large language models (LLMs) and modular graph-based pipelines. It adapts to complex, dynamic web structures, supports multiple LLMs, and offers advanced features like proxy rotation and customizable scraping flows for developers.
Understanding the core functionality and approach of ScrapeGraphAI.
ScrapeGraphAI integrates directly into your development workflow via API and IDE extensions. Code suggestions, refactoring, and debugging happen where you already work. Automation handles the repetitive work so teams can focus on strategy.
Explore the powerful features that make ScrapeGraphAI stand out.
Supports multiple programming languages and frameworks out of the box. Python and JavaScript/TypeScript
Official API docs and clear auth flows—ideal for custom automations. Automation handles the repetitive work so teams can focus on strategy.
SDKs (e.g., Python and JavaScript/TypeScript) help dev teams launch prototypes quickly.
Teams can inspect the codebase and adapt ScrapeGraphAI to specific environments.
Trigger-based flows keep work moving without extra check-ins. Automation handles the repetitive work so teams can focus on strategy.
Discover how different audiences leverage ScrapeGraphAI for their specific needs.
Developers use ScrapeGraphAI to write code faster, catch bugs early, and refactor legacy systems. Automation handles the repetitive work so teams can focus on strategy.
With SDKs and webhooks, engineers connect ScrapeGraphAI to deployments, CI/CD, and monitoring pipelines. Automation handles the repetitive work so teams can focus on strategy.
Operations teams rely on ScrapeGraphAI to orchestrate tasks across departments. Automation handles the repetitive work so teams can focus on strategy.
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Use this page as a starting point to evaluate ScrapeGraphAI alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
For a structured head‑to‑head, try the comparison view: Compare AI tools. To stay current with launches, model updates, and research breakthroughs, visit AI News. New to the space? Sharpen your understanding with AI Fundamentals.
Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to ScrapeGraphAI and the broader ecosystem over time.
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