Is Ollagraph's markdown output the same quality as Firecrawl's?

Both use Readability-style extraction with strong defaults for stripping navigation, ads, and boilerplate, so output is comparable across most content sites. If your use case is markdown-only at low volume, either vendor serves you well.

Does Firecrawl have a domain intelligence layer?

No. Firecrawl focuses on scraping and crawling; DNS, WHOIS, SSL, tech-stack, and email verification are not part of their product. Teams that need both typically pair Firecrawl with a separate intelligence vendor, or consolidate on Ollagraph.

How does pricing compare?

Both price on usage. Ollagraph uses credits — 1 credit per call, failed calls auto-refund — with pay-as-you-go from $5 and 1,000 free credits to start. Because scrape, intelligence, actors, and automation all draw from the same credits, mixed workloads often land lower than paying per layer. See our pricing page and theirs for current numbers.

Can I migrate from Firecrawl to Ollagraph?

In most cases it's a URL change plus a small response-shape adjustment, and switching your output format to markdown for LLM workloads. We're happy to help with the migration on higher-volume and enterprise plans.

Ollagraph vs Firecrawl — honest comparison

Firecrawl popularized clean markdown for LLM workflows. Ollagraph matches that quality and ships a complete intelligence layer and browser automation alongside.

What Firecrawl does well

Firecrawl earned its position by making LLM-ready markdown extraction simple and reliable. Their crawl-to-markdown pipeline is excellent, and they were early to recognize that AI engineers need a different shape of web data than traditional scrapers produced. If your use case is exclusively markdown for RAG or training, Firecrawl serves it well.

Where Ollagraph goes further

Built-in intelligence layer. Ollagraph returns DNS, WHOIS, SSL, GeoIP/ASN, tech-stack, contacts, and email verification in the same API. Firecrawl focuses on scrape and crawl — for the intelligence layer you'd add a second vendor.
Browser automation. Persistent stealth sessions plus natural-language actions (goto / act / observe / extract) drive multi-step flows behind logins. Firecrawl is scrape-API-focused.
One bill, one token. Scrape + intelligence + actors + automation are all credit-metered through one key, and failed calls auto-refund.

Side by side

Feature	Firecrawl	Ollagraph
Clean markdown output for LLMs	Native, excellent	Native
Full-site crawler with webhook	Yes	Yes
Structured data (JSON-LD / OpenGraph / microdata)	Partial	Native
Domain intelligence (DNS / WHOIS / SSL)	Not offered	Included
Email verification	Not offered	Included
Browser automation (sessions + NL actions)	Limited	Included
MCP server	Yes	Included
JavaScript eval + action macros	Limited	Native
Pricing	Per-credit	Per-credit · PAYG from $5 · refund on failure
Free to start	Free tier	1,000 credits

Who each is best for

Choose Firecrawl if: Teams whose use case is exclusively markdown extraction for LLM training or RAG, and who do not need intelligence or browser automation from the same vendor.

Choose Ollagraph if: Teams who need clean markdown plus intelligence plus browser automation — behind one key and one bill. Especially AI teams whose agents also need to enrich the domains they scrape.

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.

Ollagraph vs Firecrawl