ScrapeGraphAI vs Thunderbit
A side-by-side comparison of ScrapeGraphAI and Thunderbit, two Data Ops tools, drawn from Ignaite's continuously-verified listings.
Compared from listings verified as of
ScrapeGraphAI
Data OpsTurn any webpage into structured data with one prompt-driven API call.
View ScrapeGraphAIThunderbit
Data OpsAI web scraper that turns any page into structured data in two clicks.
View ThunderbitAt a glance
| Attribute | ScrapeGraphAI | Thunderbit |
|---|---|---|
| Category | Data Ops | Data Ops |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Open core | Proprietary |
| Deployment (differs) | Hybrid | — |
| Platforms (differs) | API, CLI, Web | Browser extension, Web |
| Model support (differs) | BYO key / model | Multi-model |
| Vendor (differs) | ScrapeGraphAI | Thunderbit |
The honest brief
ScrapeGraphAI
Swaps CSS selectors for LLM graph pipelines — describe the data in plain English and run it on any provider or local Ollama.
- Prompt-driven, selector-free extraction
- Graph pipelines: single, multi, crawl
- Runs on any LLM or local Ollama
- LangChain/LlamaIndex/n8n + MCP
- LLM cost per extraction page
- Less precise than handwritten selectors
- Hosted API credits add up
Thunderbit
'AI Suggest Fields' reads a page and proposes columns to extract, so scraping needs no CSS selectors or XPath.
- Two-click no-code scraping
- AI suggests fields automatically
- Pagination, subpages, bulk lists
- Exports to Sheets, Airtable, Notion
- Chrome extension only
- Credit limits on higher volumes
- Less control than code scrapers