Ollagraph vs Browse AI
Browse AI lets non-coders build 'robots' that scrape and monitor sites with point-and-click and change alerts. Ollagraph is the API-first alternative for engineers and AI agents who'd rather call an endpoint.
What Browse AI does well
Browse AI made no-code scraping and monitoring genuinely approachable — record a robot by clicking through a page, schedule it, and get change-detection alerts when the data moves. For non-technical teams that need a watched data point or a prebuilt robot without writing code, it's a strong, friendly product.
Where Ollagraph goes further
- API-first, not a recorded robot. Ollagraph is a single HTTP endpoint family with a bearer token — drop it into any pipeline, agent, or cron without recording or maintaining a visual robot.
- Structured output + intelligence. Clean markdown, JSON-LD/OpenGraph extraction, plus DNS/WHOIS/SSL/enrichment in the same API.
- Browser automation. Persistent stealth sessions with natural-language actions on real rendered pages.
- Agent-native. An MCP server exposes the whole surface to AI agents — no per-site robot to build first.
Side by side
| Feature | Browse AI | Ollagraph |
|---|---|---|
| No-code visual robot builder | Yes (its core) | API-first |
| Scheduled monitoring + change alerts | Yes | Async jobs + webhooks |
| Programmatic HTTP API | Available | Native (the product) |
| Clean markdown output for LLMs | Not native | Native |
| Domain intelligence (DNS / WHOIS / SSL) | Not offered | Included |
| MCP server for AI agents | Not offered | Included |
| Free to start | Free plan | 1,000 credits |
Who each is best for
Non-technical teams that want point-and-click robots and scheduled change-monitoring on specific pages without writing or calling code.
Engineering and AI teams who want a programmatic API — scraping plus structured output plus intelligence plus actors plus agent tooling — they can wire into a pipeline or hand to an agent.
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
Is Ollagraph no-code like Browse AI?
No — Ollagraph is API-first. You call an endpoint with a bearer token and get JSON back. That's the deliberate trade-off: less point-and-click for non-coders, far more power and composability for engineers and agents.
Can Ollagraph monitor a page for changes like a Browse AI robot?
Yes, programmatically. Schedule the call from your own scheduler or pipeline, run it as an async job, and receive results via webhook — then diff against the previous result on your side. You own the cadence and the comparison rather than configuring a visual monitor.
How does pricing compare?
Ollagraph prices in credits — 1 per call, failed calls auto-refund — with pay-as-you-go from $5 and 1,000 free credits. Browse AI prices by robot and monitored rows; compare on your workload on their pricing page.
Try Ollagraph free.
1,000 credits, one bearer token, every endpoint. Decide for yourself.