ScrapeGraphAI vs Clay
In-depth technical comparison to help you choose the right data infrastructure tool for your stack.
ScrapeGraphAI
ScrapeGraphAI is an open-source Python library that uses LLMs and direct graph logic to extract web data by describing what you want in plain English.
Clay
Clay is an AI-powered B2B data enrichment and prospecting platform combining 75+ data providers into automated outbound workflows.
📊 Comparison Table
| Feature | ScrapeGraphAI | Clay |
|---|---|---|
| Starting Price/mo | $20★ Cheaper | $149 |
| Pricing Model | pay_per_use | credits |
| JS Rendering | ✅ | ✅ |
| CAPTCHA Bypass | ✅ | ✅ |
| Residential Proxies | ✅ | ✅ |
| Free Tier | ✅ | ✅ |
| Base Concurrency | 20 threads★ Higher | 20 threads |
| SDK & Languages | Python, REST API Integration | REST API Integration, Python, JavaScript |
🎯 ScrapeGraphAI is best for
Data scientists and Python engineers who want to extract structured web data using LLMs without maintaining CSS selectors or XPath rules.
🎯 Clay is best for
Revenue operations and growth teams wanting to automate lead enrichment by waterfalling LinkedIn, Apollo, Clearbit, and AI research.
🏆 The Verdict
ScrapeGraphAI is the recommended choice if you prioritize cost efficiency (lower starting price).Data scientists and Python engineers who want to extract structured web data using LLMs without maintaining CSS selectors or XPath rules.
Clay stands out if your workload demands specialized infrastructure features.Revenue operations and growth teams wanting to automate lead enrichment by waterfalling LinkedIn, Apollo, Clearbit, and AI research.