Scrapegraph-ai
Python scraper powered by AI for efficient web data extraction
- Status
- Generally available
- Last checked
- Checked · Oct 16, 2026
- License
- Open source
- Pricing
- Free tier · from $0
What it is
Scrapegraph-ai is an advanced Python-based scraping tool that leverages artificial intelligence to automate and optimize the process of extracting structured data from websites. It simplifies complex scraping tasks, making it a valuable asset for developers and data collectors.
Scrapegraph-ai stands out as an AI-native tool designed specifically to enhance the efficiency and accuracy of Python-based web scraping tasks, offering unique capabilities in automated data extraction.
When it fits — and when it doesn’t
A good fit for
Teams needing to automate complex and dynamic web scraping tasks
Projects requiring efficient extraction of structured data from websites
Developers looking for an AI-powered solution to enhance their scraping capabilities
Look elsewhere if
Users who require real-time data streaming (Scrapegraph-ai is batch-oriented)
Applications that need a cloud-based managed service for web scraping
Known weaknesses
Each one links to the public issue, changelog or docs page it came from, where we have one.
- 01
Limited documentation for advanced use cases
Official docs lack examples for complex scraping tasks and AI customization
- 02
Performance issues with large-scale data extraction
Scraping more than 10,000 pages can lead to significant slowdowns or API rate limits
What it does well
AI-driven data extraction
Support for complex web scraping tasks
Efficient and automated scraping processes
Pricing
- Free tier
- YesOpen source — free to use
- Paid from
- $0
- Model
- Flat rate
- Enterprise plan
- No
Pricing not independently confirmed — check the vendor’s page.
Performance benchmarks
How Fast Is It?
Set up Scrapegraph-ai
Setup steps, common gotchas and what to check after 30 days.