PySpur vs ScrapeGraphAI
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
PySpur Agents | ScrapeGraphAI Agents | |
|---|---|---|
| Tagline | Open-source agent builder with a drag-and-drop canvas, Python escape hatch, and a built-in test harness. | LLM-driven web scraping API that turns natural-language prompts into structured JSON. |
| Category | Agents | Agents |
| Pricing | Freemium· Open-source (Apache 2.0); managed Cloud coming soon | Freemium· Free 500 credits; Starter $20/mo, Growth $100/mo, Pro $500/mo, Enterprise custom |
| Model | Multi-model | Multi-model (LLM, unspecified) |
| Editorial score | 7.0 / 10 | 8.4 / 10 |
| Use cases | agent-orchestrationagent-evaluationvisual-workflow-builderself-hosted-agentstool-use | web-scrapingdata-extractionprice-monitoringlead-generationagent-toolingsite-change-monitoring |
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| Website | pyspur.dev | scrapegraphai.com |
Pick PySpur if
- ✅ Apache-2.0 licensed and pip-installable, runs fully self-hosted
- ✅ Visual canvas plus Python escape hatch, no lock-in to a DSL
- ✅ Built-in test cases and failure inspection, not an afterthought
- ✅ Agents export as JSON so they diff cleanly in git
Pick ScrapeGraphAI if
- ✅ Natural-language prompts replace fragile CSS/XPath selectors
- ✅ Handles JS rendering, SPAs, and proxies without setup
- ✅ Open-source core (27k+ GitHub stars) with managed API on top
- ✅ Official Python/JS SDKs plus MCP server for AI agents