Scraping API Showdown 2026: ScraperAPI vs Zyte vs Web Unlocker (tested)

Three services, one pitch: send a URL, get the page back, and let someone else own the proxies, the browsers, and the retries. ScraperAPI, Zyte, and Bright Data Web Unlocker all sell that promise, and on their landing pages they read almost the same. They aren’t the same. I paid for all three and ran them against the same targets on real jobs, and the differences show up the moment a site fights back.

I run my own proxy infrastructure and production scrapers, so this is a tested comparison, not a vendor roundup. None of these makes scraping undetectable, and none of them makes anything legal that wasn’t already legal. What they sell is convenience behind one endpoint. The only question worth answering is whether that convenience earns its price on your particular job.

The verdict, up front

Read that table as one test on one set of targets over a few days. Success rates move as sites change their defenses. What holds is the shape: the more specialized and expensive the tool, the better it did on the one site that fought hardest.

What these APIs actually do

Start with what you’re renting, because the branding hides it. A managed scraping API is the infrastructure layer you’d otherwise build, wrapped behind a single URL. You send a request, and it picks a proxy from a pool, spins up a headless browser if the page needs JavaScript, retries when a fetch fails, and hands back finished HTML or parsed fields. You’re not buying magic. You’re paying someone else to run the proxy farm and the browser fleet. Everything below is about how differently these three do it.

The pricing shapes are the real difference

The three don’t even bill the same unit, and that’s where people get surprised.

ScraperAPI mostly sells credits per request, and a request costs more credits when it needs rendering or premium proxies. Zyte bills closer to per successful request, so a failed attempt doesn’t always cost you. Web Unlocker charges for successful requests too, but the network underneath is priced around bandwidth, so a heavy page costs more than a light one.

Three pricing shapes means the cheapest option flips depending on your target. You can’t rank them on sticker price alone, which is exactly why I measure cost per successful record on my own target instead of trusting the pricing page.

ScraperAPI

ScraperAPI is the friendliest to start with. The API is simple, the credit model is easy to reason about, and for static and moderately defended sites it just works. Flip a render parameter when a page needs JavaScript, a country parameter when you need a region, and you get your HTML back. On my easy and medium targets it cleared them at a high rate and stayed cheap.

The honest part: on my hardest target, the kind of site that throws a real challenge and watches behavior, its success rate dropped and the retries started burning credits. It didn’t fail outright, but the cost per successful page climbed enough that it stopped being the cheap option there. That’s positioning, not a flaw. It’s tuned to be affordable across the broad middle of the web, not to win a brawl with the two or three most defended sites you care about.

Zyte

Zyte comes at this from the data-company angle. Its API is paired with a proxy layer that adjusts how hard it works a request, and it leans toward charging for results rather than attempts. That shape matters on a hard target, because a site that needs several tries per page won’t silently multiply your bill the way a pure per-request model can. There’s more of a data platform around it too, for teams that treat scraping as an ongoing operation rather than a weekend script.

Where Zyte asks more of you is the learning curve and reasoning about cost under load. It’s less flip-a-switch than ScraperAPI. On my tests it held a strong success rate on the medium and hard sites and landed in the middle on cost, which is roughly where its whole design points. It’s what I reach for when scraping is a standing part of the operation.

Bright Data Web Unlocker

Web Unlocker is the specialist. It isn’t a general framework, it’s an unblocking endpoint built on Bright Data’s large residential and mobile network, aimed at the sites that beat everything cheaper. You hand it a URL, it works the problem behind the scenes, and it returns the page. On the single hardest target in my set, this cleared it most reliably, and by a clear margin.

That capability isn’t free. Because the network underneath is priced around bandwidth, a heavy page rendered through it costs real money, and a large crawl adds up fast. It’s also not the quickest. The mistake I see people make is reaching for the strongest unblocker for their whole job when only a handful of pages actually need it. Use the specialist where it’s required and its price stays contained.

How I tested

Same set of targets for all three: an easy static site, a medium JavaScript site, and one genuinely hard target. A few thousand requests through each service against each. Then I measured the three numbers that matter: the real success rate on the hard target, the latency per returned page, and the true cost per successful record rather than the advertised cost per request.

On the easy and medium targets, all three cleared them at high rates and the differences barely mattered. The hard target separated them, in the order the table shows. Latency tracked difficulty: the simple fetches came back quickest, and the heavy unblocking calls were noticeably slower per page. If you’re pulling large volume, that per-page latency multiplies into hours, and that’s a real cost, not a footnote.

When to buy, and when to build

Buy when the target is genuinely hard and would otherwise eat weeks, when the volume is modest, or when time is the scarce thing. A service that works this afternoon beats a build that works in three weeks, and if scraping isn’t your core business, buying the boring part is usually right.

Build when the volume is large, when you need full control over how each request is made, or when the targets are simple. At real scale on ordinary targets, your own stack wins on cost by a wide margin, and the proxy layer you put in front of it decides whether it works. In practice I run a hybrid: my own mobile proxies on real carrier SIM cards for the predictable bulk, and a specialist API in reserve for the few sites that fight back hardest.

The honest limits

None of these three makes anything undetectable, whatever the landing page implies, and none of them makes it legal to collect data that was never yours. The same rules apply: public data, the robots file respected, an official API or bulk feed preferred where one exists, a polite rate held. A service absorbs the infrastructure work, but not the responsibility for what you scrape.

I run both sides of this in production, my own stack and these APIs on real jobs. If you want the full reviews with the measured numbers and the picks I actually use, they’re at dataresearchtools.com, tested on real targets with no undetectable promises.

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