Ollagraph vs Diffbot
Diffbot built automatic AI extraction and a web-scale Knowledge Graph. Ollagraph overlaps on automatic extraction and adds scraping control and agent-native tooling at a developer-friendly entry point.
What Diffbot does well
Diffbot's automatic extraction (Article, Product, and other entity types) and its Knowledge Graph are genuinely differentiated — entity-level structured data at web scale. For teams whose core need is a queryable graph of companies, people, and articles, Diffbot is in a category of its own.
Where Ollagraph goes further
- Lower entry barrier. Pay-as-you-go from $5 and 1,000 free credits to start, versus an enterprise-oriented entry point.
- Markdown + scraping control. Clean LLM-ready markdown, action macros, and a full scrape/crawl surface alongside extraction. Diffbot centers on automatic extraction and the graph.
- Browser automation + MCP. Persistent sessions, natural-language actions, and a Model Context Protocol server for agents.
- One bill across layers. Scrape, extract, intelligence, actors, and automation all draw from the same credits.
Side by side
| Feature | Diffbot | Ollagraph |
|---|---|---|
| Automatic content extraction | Native AI | Native |
| Web-scale Knowledge Graph | Yes (its core) | Not offered |
| Clean markdown output for LLMs | Partial | Native |
| Browser automation (sessions + NL actions) | Not offered | Included |
| MCP server for AI agents | Not offered | Included |
| Free to start | Trial | 1,000 credits |
Who each is best for
Teams whose core need is a web-scale knowledge graph or entity database — companies, people, articles — queried at scale.
Teams who need scraping plus clean markdown plus browser automation plus agent tooling at a low entry point, and don't need a standalone knowledge graph.
Sources & further reading
The standards behind every tool in this comparison, for readers who want the primary sources rather than our summary of them:
- Web scraping (Wikipedia) — the category these tools operate in, with its technical and legal background.
- RFC 9309 — Robots Exclusion Protocol (IETF, 2022) — the robots.txt standard a responsible crawler honors.
- JSON-LD 1.1 (W3C Recommendation) — the structured-data format these tools extract.
- Retrieval-Augmented Generation (Lewis et al., 2020) — the AI pattern most of this web data ultimately feeds.
Common questions
Does Ollagraph have a Knowledge Graph like Diffbot?
No, and we won't pretend otherwise — Diffbot's Knowledge Graph is its core product and we don't offer an equivalent. Ollagraph is a web-data API: scrape, extract, intelligence, actors, and automation. If you need a queryable entity graph, Diffbot is the better fit.
Can Ollagraph do automatic article and product extraction?
Yes. The extract and markdown endpoints return clean article content and structured JSON from product, place, and listing pages. The output is comparable for most content and commerce pages.
How does pricing compare?
Ollagraph's entry point is lower — pay-as-you-go from $5, 1,000 free credits to start, 1 credit per call with refunds on failure. Diffbot is positioned toward enterprise; compare current tiers on their pricing page.
Try Ollagraph free.
1,000 credits, one bearer token, every endpoint. Decide for yourself.