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May 29, 2026·3 min read

WebReaper vs Firecrawl: a local-first, MIT-licensed alternative

An honest comparison of WebReaper and Firecrawl across distribution model, licensing, AI features, and when each one is the right call.

comparison

Firecrawl is a good product. If you want a hosted API that turns a URL into clean Markdown or structured JSON with almost no setup, it delivers, and the managed developer experience is genuinely pleasant. This post is not a takedown. It is an honest account of where WebReaper and Firecrawl differ, so you can pick the one that fits how you ship.

The short version: Firecrawl is a hosted cloud service with an open-source repo under AGPL-3.0. WebReaper is a local single binary and a .NET library under MIT. Those two facts drive almost every other difference.

Distribution model

Firecrawl's primary product is a cloud API. You send requests, their infrastructure does the crawling, you get results back. You can self-host the open-source version, but the path of least resistance, and the one most teams take, is the managed service.

WebReaper runs on your machine. The CLI is a single native binary you drop on PATH; the library is a NuGet package you reference from a .NET project. There is no API to call and no account to create.

webreaper scrape https://example.com --output page.md
webreaper map https://example.com --search /blog/ --max-urls 50
webreaper crawl https://example.com > pages.jsonl

The same four verbs (scrape, map, crawl, and an init for project setup) exist in both worlds. The difference is where the work happens: a server you rent versus a process you own.

License implications

This is the part that decides procurement for a lot of teams, so it is worth being precise.

  • WebReaper is MIT. You can embed it in closed-source commercial software, ship it inside your product, and modify it, with no obligation to release your own source. Attribution is the whole requirement.
  • Firecrawl's open-source code is AGPL-3.0. AGPL extends copyleft over the network: if you run modified AGPL code as a service that users interact with, you are obligated to offer those users the corresponding source. For an internal tool that is often fine. For a commercial product that incorporates the code into a service, it is a real constraint that legal teams take seriously.
  • The hosted Firecrawl API sidesteps that for the consumer, because you are calling their service rather than redistributing their code. The trade is that you are now dependent on a third-party service and its pricing.

If you need to embed scraping into proprietary software without a copyleft obligation, MIT is the reason to look at WebReaper. If you are happy calling a hosted API and never touching the source, the license question mostly disappears.

AI features

Both tools lean into AI extraction, and the feature sets rhyme.

  • Firecrawl offers an extract endpoint that pulls structured data with LLMs, and the heavy lifting runs on their side with their model wiring.
  • WebReaper has an LLM fallback, self-healing selectors, and schema inference, all opt-in. The defining difference is that you bring your own chat client through Microsoft.Extensions.AI: OpenAI, Anthropic, Ollama, or Azure.
using Microsoft.Extensions.AI;
using WebReaper.Builders;
 
IChatClient chatClient = /* your provider here */;
 
var engine = await ScraperEngineBuilder
    .Crawl("https://example.com")
    .ExtractInferred("product name and price")
    .WithLlmSchemaInferrer(chatClient)
    .WriteToConsole()
    .BuildAsync();

Bring-your-own LLM means the model choice, the data path, and the bill are yours. Your page content goes to the provider you picked, and with a local model like Ollama it need not leave your machine at all. A hosted extract endpoint is less to wire up; a local one keeps you in control of cost and data residency.

JavaScript rendering and stealth

Both handle JS-rendered pages and bot protection. Firecrawl does it inside the service. WebReaper does it through optional packages you add when you need them: Playwright or raw CDP for a real browser, and a stealth Chromium backend for protected sites.

var engine = await ScraperEngineBuilder
    .CrawlWithBrowser("https://app.example.com")
    .AsMarkdown()
    .WithPlaywrightPageLoader()
    .WriteToConsole()
    .BuildAsync();

From the CLI, the browser and stealth escalation is a flag rather than a code change. WebReaper auto-detects Cloudflare, DataDome, PerimeterX, Incapsula, and Akamai and can escalate to a stealth backend on its own. Neither tool, and no tool, defeats every captcha.

Distributed backends

This is where the .NET library shows its age in a good way. WebReaper grew up as a parallel crawler, and its scheduler, visited-link tracker, and config storage are swappable seams. Point them at Redis or Azure Service Bus and multiple workers or serverless functions share one crawl. That is a self-hosted scaling story you wire yourself.

Firecrawl's scaling story is the opposite, and for many teams simpler: it is their problem. You send more requests, their infrastructure absorbs them, you pay for the volume.

When to pick each

Pick Firecrawl when you want a hosted API with minimal setup, you are happy to pay for managed infrastructure, AGPL or service dependency is not a blocker, and you would rather not run a crawler yourself.

Pick WebReaper when you want to run locally with no account, you need MIT so you can embed it in commercial software, you want to bring your own LLM and keep data on infrastructure you control, you are in the .NET ecosystem, or you want a single binary your CI and your agents can call directly.

They are aimed at different defaults: one optimizes for "do not make me run anything," the other for "do not make me depend on anything." Pick the default that matches your constraints.