ScrapeGraphAI vs Levity
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.
Levity
Levity is an AI workflow platform that classifies, extracts, and summarizes text, emails, and documents without writing custom machine learning code.
📊 Comparison Table
| Feature | ScrapeGraphAI | Levity |
|---|---|---|
| Starting Price/mo | $20★ Cheaper | $99 |
| Pricing Model | pay_per_use | monthly_sub |
| JS Rendering | ✅ | ✅ |
| CAPTCHA Bypass | ✅ | ❌ |
| Residential Proxies | ✅ | ❌ |
| Free Tier | ✅ | ✅ |
| Base Concurrency | 20 threads★ Higher | 10 threads |
| SDK & Languages | Python, REST API Integration | REST API Integration, Python, No-Code (Visual) |
🎯 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.
🎯 Levity is best for
Operations and support teams automating email classification, document parsing, and unstructured data routing using custom AI blocks.
🏆 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.
Levity stands out if your workload demands specialized infrastructure features.Operations and support teams automating email classification, document parsing, and unstructured data routing using custom AI blocks.