ReplyNodes vs Firecrawl for AI Agents

Choose Firecrawl if your main job is turning web pages into markdown or structured JSON at scale. Choose ReplyNodes if the same agent also needs other read-only sources, such as brand data, app stores, Reddit or Hacker News, behind one key and one credit balance. They overlap on single-page scrape to markdown, crawl, map and web search.

Everything about Firecrawl below comes from its public pages, read on 2026-11-08 and linked in each section. ReplyNodes figures come from our pricing page and the live capabilities document (document hash sha256:e6a25bc0…02a6, read 2026-11-08).

At a glance

Pricing and credits

Firecrawl lists Free (1,000 credits a month), Hobby ($19 a month for 5,000), Standard ($99 a month for 100,000), Growth ($399 for 500,000) and Scale ($749 for 1,000,000) on its pricing page. Its billing docs add modifiers that stack on top of the base credit, such as +4 credits per page for JSON extraction and +1 per PDF page.

ReplyNodes has one credit balance: Free with 500 one-time credits, Developer at $19 a month with 10,000 credits, and Pro at $99 a month with 100,000 credits. Credit costs differ by route and are published in the capabilities document.

At list price, with both plans at $99 a month, Firecrawl Standard covers 100,000 single-page scrapes at 1 credit each, while ReplyNodes Pro covers about 33,000 at 3 credits each. That is arithmetic on published prices, not a benchmark, and the two services do different amounts of work per credit. If single-page scrape volume is your whole bill, Firecrawl is cheaper on paper.

What each one covers

Firecrawl's scrape docs list many output formats, including markdown, HTML, JSON, screenshots, links and images, plus browser actions such as click and type. Its /search returns full page content for results.

ReplyNodes webcontext/scrape returns clean main-content markdown with metadata, links and images, and accepts include and exclude selectors and a character limit. Its web/search returns ranked records (title, snippet, domain, URL), not full page content, so an agent that needs page text makes a second call. ReplyNodes is read-only, and its capabilities document lists no browser actions or screenshots.

MCP

Both have a hosted MCP server. Firecrawl's is documented at docs.firecrawl.dev/mcp-server. ReplyNodes' is read-only, uses OAuth with the mcp:read scope or an rn_test_* / rn_live_* API key, and is described on the MCP page. If you are vetting either one, the MCP review guide walks through the checks.

Where Firecrawl is the better fit

• You need many output formats, screenshots or browser interaction.
• Scraping and crawling volume dominates your cost, and 1 credit per page matters.
• You want search results that already include full page content.

Where ReplyNodes fits

• Your agent mixes web pages with brand profiles, app store data, Reddit or other public sources and you want one key, one balance and one MCP server.
• You want a strictly read-only integration surface.
• You want the cost of every route published in one machine-readable document.

FAQ

Is ReplyNodes a Firecrawl alternative?

For single-page scrape to markdown, crawl, map and web search, yes. It is narrower on formats and browser actions, and wider on non-web data sources.

Which is cheaper?

For pure single-page scraping, Firecrawl's published per-page credit is lower. The comparison changes if you also need the other sources ReplyNodes covers, because you would otherwise pay for a second service.

Do both support MCP?

Yes. See the MCP section above for the endpoints and authentication differences.

How current is this page?

Firecrawl's pages were read on 2026-11-08. Plans and credit rules change, so check Firecrawl's pricing before you decide.

For a broader list, see Firecrawl alternatives for AI agents.