Most AI workflows need one thing: web data. Whether you’re building an automation pipeline, feeding an LLM fresh context, or scraping competitor prices, the scraper you pick matters more than you’d think. Firecrawl has been the go-to for a while now, but it is not cheap. Enter Draco, a free, open-source alternative that runs on your own machine and costs exactly zero dollars per month.
If you are comparing web scrapers, the draco vs firecrawl debate comes down to cost, speed, and control. Here is the straight comparison, what each does well, and which one actually makes sense for you.
What is Draco?
Draco is a native Rust web scraper built as a lightweight alternative to Firecrawl. You point it at a URL and it returns clean Markdown plus metadata — title, description, og tags, canonical URLs, the works. It uses a browser-faithful TLS fingerprint so it can reach pages that block standard HTTP clients, and for most standard HTML pages it finishes in around 300 milliseconds.
No headless browser fleet. No per-request billing. No Node.js dependency. It is a single binary you run from your terminal.
The project just hit HN’s front page, which means it is new, actively developed, and worth watching. You can install it with a one-liner on Linux or macOS, or build from source if you prefer.
The key selling point is ownership. You run it on your hardware, your network, your rules. No data leaves your machine unless you tell it to.
What is Firecrawl?
Firecrawl is a cloud-hosted web scraping service with a generous free tier (1,000 credits per month) and paid plans scaling up to $599/month for enterprise use. It handles scraping, crawling, search, maps, browser interactions, and monitoring — a full suite of web data tools.
For a lot of people, Firecrawl “just works.” You sign up, grab an API key, and start scraping. The documentation is solid, the SDK is well-maintained, and there is a large community around it. If you need something that scales without you thinking about infrastructure, Firecrawl is tough to beat.
But it has a ceiling. The free plan caps you at 1,000 scrapes per month. For a side project that is probably fine. For an AI pipeline that scrapes hundreds of pages daily, you are looking at $83/month minimum on the Standard plan, and $333/month if you need any real volume.
Draco vs Firecrawl — Head to head
Speed and performance
Draco is fast. For standard HTML pages (blogs, docs, news articles), expect around 300ms per scrape. That includes fetching, parsing, extracting main content, and stripping boilerplate like nav bars, footers, and ads. It does this without launching a browser — it is a pure HTTP fetch with a smart content extractor.
Firecrawl’s speed depends on your plan. The free tier gives you 2 concurrent requests. The Standard plan ($83/month) bumps that to 50. For most workflows, Firecrawl is plenty fast. But if you are processing hundreds of pages in batch, Draco on your own hardware will almost always beat a cloud service with concurrency limits.
For client-rendered SPAs (React, Next.js, Vue apps), Draco offers a V8-based approach that intercepts API calls rather than running a full browser. It is not as seamless as Firecrawl’s headless Chrome, but it works for most data-heavy SPAs.
Pricing and cost
This is where the gap widens.
| Draco | Firecrawl | |
|---|---|---|
| — | — | — |
| Cost | Free (self-hosted) | $0–$599/month |
| Free tier | Unlimited (your hardware) | 1,000 credits/month |
| Standard plan | N/A | $83/month (100k credits) |
| Growth plan | N/A | $333/month (500k credits) |
| Per-scrape cost | $0 (just electricity) | $0.001–$0.0006 |
| Self-hosted | Yes | No |
If you scrape fewer than 1,000 pages per month, Firecrawl’s free tier covers you and you do not need to think about Draco. But the moment you cross that threshold, the math shifts hard. At 5,000 scrapes per month, Firecrawl costs $16/month. At 100,000, you are at $83/month. Draco? Still zero.
For AI builders running data pipelines, content aggregators, or anyone processing web data at scale, that adds up fast over a year.
Features comparison
Firecrawl does more than just scrape. It crawls entire sites, maps URL structures, runs browser interactions (clicking, scrolling, form filling), and monitors pages for changes. Draco is focused: it scrapes. That focus is a strength for speed and simplicity, but it means Draco does not crawl sites or run browser automations out of the box.
Draco’s feature set is tight and well-executed:
- Clean Markdown extraction (mirrors Firecrawl’s output format)
- Full metadata extraction (og tags, article tags, canonical URLs)
- JSON-API extraction for SPAs (finds the data endpoint automatically)
- Proxy support with politeness delays
- Built-in MCP server for AI agent integration
- JSON output mode with JSONPath extraction
Firecrawl adds crawl, search, interact, and monitor on top. If you need those features, the comparison is not really fair — they are different tools at that point.
Privacy and self-hosting
Draco runs on your machine. Period. No data gets sent to a third-party server. Your scraped content, your URLs, your patterns — they stay local. For compliance-sensitive work (healthcare, finance, legal), this matters a lot.
Firecrawl is cloud-hosted. They have a zero-data retention policy on enterprise plans, and they are transparent about what they store. But the data still passes through their servers. Some organizations cannot accept that, and for them, Draco is the only option.
Draco vs Firecrawl: which one should you pick?
Honestly, it depends on your volume.
Use Firecrawl if:
- You scrape fewer than 1,000 pages per month
- You need crawling, search, or browser interactions
- You want a managed service with no setup hassle
- You are new to web scraping and want good docs + community
Use Draco if:
- You scrape more than 1,000 pages per month and do not want to pay
- You need self-hosting for privacy or compliance
- You are building AI pipelines and want fast, cheap, repeatable scrapes
- You are comfortable with CLI tools
You can also use both. Run Draco for high-volume, repetitive scrapes where speed and cost matter. Keep a Firecrawl account for the occasional crawl or browser interaction that Draco does not handle.
How to get started with Draco
Installing Draco takes about a minute on macOS or Linux:
curl -fsSL https://raw.githubusercontent.com/0xchasercat/draco/main/install.sh | sh
That downloads the binary and adds it to your shell config. Then try it:
draco scrape https://example.com
You will get clean Markdown on stdout. Pipe it to a file:
draco scrape https://example.com > page.md
Or get the full response with metadata as JSON:
draco scrape https://example.com --json --pretty
For AI workflows, Draco’s built-in MCP server means you can plug it directly into Claude, Cursor, or any MCP-compatible agent. Your AI assistant gets web scraping capability without calling an external API.
The full documentation is on the Draco GitHub repo, including advanced options like SPA handling, proxy routing, and JSON-API extraction.
The bottom line
Firecrawl is the established, feature-rich option that works great at small scale. Draco is the fast, free, self-hosted alternative that beats it on price and privacy the moment you need volume. If you are building AI workflows that pull web data regularly, Draco deserves a spot in your toolkit. Try both, run them side by side on a few URLs, and see which fits your workflow. In any draco vs firecrawl decision, the best part is you do not have to pick just one.
