Apify vs ScrapeGraphAI
A side-by-side comparison of Apify and ScrapeGraphAI, 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 ScrapeGraphAIAt a glance
| Attribute | Apify | ScrapeGraphAI |
|---|---|---|
| Category | Data Ops | Data Ops |
| Pricing | FREEMIUM | FREEMIUM |
| License (differs) | Proprietary | Open core |
| Deployment (differs) | Cloud | Hybrid |
| Platforms (differs) | Web, API | API, CLI, Web |
| Model support (differs) | Model-agnostic | BYO key / model |
| Vendor (differs) | Apify | ScrapeGraphAI |
The honest brief
Apify
A marketplace of thousands of ready-made serverless scraping 'Actors' you can run or fork, versus building every crawler from scratch.
- Serverless 'Actors' scale automatically
- Outputs clean Markdown/JSON for LLMs
- Maintains open-source Crawlee
- LangChain/LlamaIndex integrations
- Usage-based costs add up at scale
- Learning curve for custom Actors
- Platform itself is closed/hosted
- Scraping reliability varies by site
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