Apify is the gold standard for managed scraping infrastructure. Crawlstack takes a completely different approach: self-hosted, browser-native, and free. Here's an honest comparison to help you pick the right tool.
Apify is legitimately excellent. They've built one of the most complete scraping ecosystems available — thousands of pre-built Actors, solid proxy infrastructure, clean APIs, and a polished platform. If money is no object and you don't want to think about infrastructure, they're hard to beat.
But for a large and growing group of developers — indie builders, internal tooling teams, data engineers who want full control — the managed cloud model doesn't fit. The bill scales with usage, data lives on someone else's servers, and every request routes through their infrastructure.
Crawlstack is the alternative for that group. Here's an honest look at how the two compare.
This is the decision that makes everything else follow from it.
Apify is cloud infrastructure. Your scrapers (called Actors) run on Apify's servers. You pay for compute time, memory usage, and proxy bandwidth. Apify manages the browsers, the proxies, the storage, and the scheduling. You interact via their API or web console.
Crawlstack is a browser runtime. The entire backend — database, scheduler, execution engine — lives inside a browser or Docker container you control. Your scrapers run using your real browser sessions, your local machine or VPS, and zero recurring platform fees.
Neither is universally "better." They're solving different problems for different operators.
| Feature | Apify | Crawlstack |
|---|---|---|
| Hosting model | Managed cloud | Self-hosted (local or Docker) |
| Pricing | Usage-based (compute + proxy) | Free and open source |
| Anti-bot approach | Residential proxies + stealth plugins | Native browser sessions |
| Data ownership | Cloud-first (their servers) | Local-first (your machine) |
| Setup complexity | Low (fully managed) | Low (browser extension or Docker) |
| Concurrent scrapers | Unlimited (you pay per Actor run) | Limited by your own hardware |
| Ecosystem | Massive (thousands of pre-built Actors) | Growing |
| Scaling model | Vertical via platform | Horizontal via libSQL/Turso |
Apify's free tier is generous for exploration, but meaningful usage adds up fast. Residential proxy bandwidth, compute minutes, and storage all meter separately. For a high-volume research pipeline or an internal data tool running continuously, the bill can reach hundreds or thousands of dollars per month.
Crawlstack's cost model is simple: your hardware, your electricity, your VPS bill. No per-request fees, no data egress charges, no proxy markups. A $6/month VPS running a Crawlstack container can handle workloads that would cost hundreds on Apify.
Here's the real differentiator: Apify scrapers impersonate real browsers. Crawlstack scrapers are real browsers — running in your actual Chrome profile, with your actual cookies, your actual browsing history, and your actual fingerprint.
For sites you regularly visit and have accounts on, this distinction is massive. Anti-bot systems that would immediately flag a fresh Apify Actor may not even register Crawlstack activity as automation. That's not a workaround — it's a fundamentally different threat model.
When your scrapers run on Apify, your data lives in Apify's storage by default. Exporting it requires their API. For internal business data, competitive research, or anything sensitive, you may not want a third party's infrastructure in that pipeline.
Crawlstack keeps everything on hardware you control. Local SQLite by default, scaling to your own libSQL server or Turso instance when needed. Your data never touches anyone else's servers unless you explicitly choose otherwise.
Building an Apify Actor means learning their SDK, their deployment workflow, their storage APIs, and their Actor model. It's well-documented, but it's a proprietary abstraction you have to commit to.
Building a Crawlstack crawler means writing JavaScript that works in a browser console. If a script works when you paste it into DevTools, it works in Crawlstack. There's no new mental model to acquire.
Let's be direct about where Apify is the better choice:
You need truly massive scale. If you need to run 500 concurrent scrapers across dozens of different IP ranges without thinking about Docker orchestration, Kubernetes, or proxy management, Apify's managed platform absorbs all of that complexity. Crawlstack's horizontal scaling via multiple nodes is powerful, but it requires you to manage those nodes.
You need a pre-built solution immediately. Apify's Actor marketplace has thousands of ready-to-run scrapers for common targets. If you need Amazon product data today and don't want to write a scraper, Apify probably has an Actor for that.
You want zero infrastructure involvement. Crawlstack is simple to set up, but it's still your infrastructure. If you genuinely want someone else to handle everything — updates, uptime, scaling — a managed platform is the right call.
It's worth noting that Crawlstack and Apify aren't mutually exclusive. Some teams use Crawlstack for authenticated, session-dependent scraping (where native browser trust is essential) and Apify for high-volume, unauthenticated tasks where parallelism matters more than fingerprint authenticity.
If you're evaluating Crawlstack as an Apify alternative, ask yourself three questions:
For most developers building internal tools, research pipelines, or personal projects, Crawlstack eliminates the cost and complexity of managed cloud scraping without sacrificing capability. For enterprise-scale operations that need massive parallelism without operational overhead, Apify earns its price.
Choose the tool that fits your actual constraints — not the one with the better marketing.
Get started with Crawlstack today and experience the future of scraping.