Do You Need an Antidetect Browser, or Just a Scraping API?

Multilogin's cheapest paid tier gets you ten browser profiles and one gigabyte of proxy traffic for $11 a month. At a couple of megabytes a page, that gigabyte is roughly 400 page loads. The plans are priced that way because the product is an identity, not a fetch, and no vendor in the category is hiding it.

Teams still start from "which antidetect browser is best" and work outwards, when the question that decides the budget is whether the job needs a persistent identity at all. Most data collection does not. Some of it does, and for that slice nothing else in the market substitutes.

The existing writing on this category is aimed at multi-account operators: affiliate marketers, dropshippers, people running fifty social profiles. That audience has real needs and the reviews serve them, but it means an engineer evaluating antidetect browsers for data work reads five thousand words about profile cloning and comes away with no idea whether the tool belongs anywhere near a crawler.

What you are actually buying

An antidetect browser is a browser plus an identity manager. You create a profile. The profile holds cookies, local storage, and a fingerprint: a coherent set of values the browser reports about itself. Reopen the profile in three weeks and it reports the same values, from the same proxy exit, with the same cookie jar. That is the entire product.

Two things follow. The unit of value is the profile, not the page. And the pricing follows the unit of value, which is why every product in the category is sold by profile count, seat count, or concurrent browser count, and none of them by request.

Compare that to a web scraping API, where the unit is one request and the vendor decides internally whether that request needs a browser at all. The two products answer different questions rather than sitting at opposite ends of one spectrum.

Which fingerprint surfaces the category controls

Detection happens in layers, and antidetect vendors differ mostly in how deep they reach.

JavaScript-visible surfaces. Canvas and WebGL rendering output, the enumerable font list, navigator properties like hardwareConcurrency and deviceMemory, screen dimensions, timezone and locale, audio context output, WebRTC local address disclosure. Every product in the category handles these. GoLogin markets 53 configurable parameters; AdsPower markets more than fifty across a similar spread. The counts are marketing. The surfaces are real.

Coherence across those surfaces. This is where products separate. A profile claiming macOS with a Windows font list, or a US timezone behind a German exit IP, is more identifiable than an unmodified browser, not less. Canvas is the clearest case: the rendered output is driven mainly by operating system, browser build and GPU, so a canvas hash generated at random is a value no real machine would ever produce. Noise that does not correspond to a plausible device is itself a signature. Randomisation and consistency pull in opposite directions, and the products that are good at this are good because they ship coherent device profiles rather than more knobs.

Surfaces JavaScript cannot touch. The TLS ClientHello, summarised as a JA3 hash since Salesforce published the method in 2017, is emitted by the network stack before a single line of page script runs. So is HTTP/2 frame and header ordering. A tool that spoofs fingerprints by overriding JavaScript functions cannot change either one. That is the architectural reason the serious products ship forked engines rather than browser extensions: Multilogin with Mimic on Chromium and Stealthfox on Firefox, GoLogin with its Orbita fork, Kameleo with Chroma and Junglefox.

The traces left by the spoofing itself. A 2020 paper presented at DIMVA, "Taming the Shape Shifter: Detecting Anti-fingerprinting Browsers", evaluated the commercial antidetect tools of that era and found them detectable by the artifacts of their own interference: poisoned object prototypes, engine-specific properties surviving on profiles claiming to be a different browser, macOS profiles leaking Windows-only attributes. The specific products studied are long gone and the current generation is considerably better. The failure mode is not. Spoofing implemented inside the page is visible from inside the page.

None of that makes fingerprint isolation useless. It makes "undetectable" a marketing position rather than a technical one, which is worth remembering when a vendor publishes a success rate nobody has audited. Surfsky advertises a "98%+ success rate" on its home page, along with per-vendor figures such as 99% against Imperva compared to a 69% baseline. Those numbers come from Surfsky and have not been independently verified.

For the broader picture of what actually triggers blocks, why scrapers get blocked covers the detection stack end to end.

The three jobs where it is the right tool

A logged-in account you are entitled to use. A merchant reading its own marketplace seller analytics. An agency pulling reporting from ad accounts a client has granted it access to. A researcher working inside a subscription their institution pays for. These sessions have to survive: same cookies, same fingerprint, same egress IP, for weeks. Hand that to a scraping API and the rotation that makes the API good at public pages is exactly what breaks the session. This is the category's strongest case, and it has nothing to do with evading anyone.

Locale-specific verification. Ad verification, price and promotion checks, search result inspection, geo-gated catalogue differences. You need the page as a user in São Paulo or Warsaw gets it, which means a residential exit in that country and a browser whose timezone, locale and language headers agree with the exit. Fingerprint control and proxy control are the same job here, and a mismatch between them is worse than no proxy at all. Choosing a proxy type by target covers which exit to pick.

QA under a controlled fingerprint. Testing how your own site behaves for a user on a particular OS, GPU, screen size and locale, repeatably. Small use case, rarely the reason a budget gets approved, but legitimate and the tooling fits.

What the three have in common is a small number of long-lived sessions where identity stability is the product. Per-profile pricing is rational when you need fifty profiles that persist. It is irrational when you need fifty thousand page fetches.

Where it is the wrong tool

Throughput on public pages. That is the whole of the argument, and the arithmetic is not close.

Take a static product listing whose data sits in the delivered HTML. Scrapfly publishes its credit costs openly. Its billing documentation, read on 2026-07-27, prices a request through datacenter proxies at 1 credit and a request through residential proxies at 25, adds 5 credits for JavaScript rendering, and includes 3 MB of bandwidth with browser rendering before excess is billed. Failed scrapes are not billed under its Scrape Failed Protection, with the caveats that the policy switches off above 30% failed traffic in an hour and that certain status codes such as 400, 401 and 404 are excluded. On the Pro plan, $100 a month for a million credits, that plain datacenter fetch is $0.0001. Even the expensive path, residential plus rendering at 30 credits, lands at $0.003.

Now price the same page through an antidetect browser. It renders, always. The full page crosses the proxy. Call a page two and a half megabytes, which is the order of magnitude HTTP Archive has reported for median page weight in recent years; we did not re-verify the current figure for this guide, so treat it as a rough input rather than a measurement. At the $3.50 per extra gigabyte Multilogin lists for additional premium traffic, that single page is roughly $0.009 in bandwidth. Add the subscription. Add the hardware, because the desktop products run Chromium instances on machines you own and provision. Add retries, which you pay for again.

So the same page costs somewhere between three and ninety times more, depending on whether it needed a browser in the first place, and you have taken on the operational burden of running browser fleets. A 2 GB monthly proxy allowance, which is roughly what the bundled tiers offer, covers on the order of 800 page loads at that page weight. That is a useful sanity check on what these allowances are sized for. They are sized for account work, not for crawling.

Three other cases where the category is wrong:

• Anonymity from your own vendor. Profile isolation separates identities from each other on the target site. It hides nothing from the tool vendor or the proxy operator.
• Making a hard target easy without proxies. Fingerprint control and IP reputation are independent axes. A perfect fingerprint arriving from a flagged datacenter range still gets blocked. If IP quality is the constraint, that is a proxy problem, and residential proxy sourcing is the thing to evaluate.
• Targets a managed unblocker already clears. If the vendor's own anti-bot layer handles your target, the browser tier is cost you did not need. The web unblocker vs scraping API guide covers where that boundary sits.

What each tool charges, and whether proxies come with it

Prices in this category move constantly. Everything below was read from the named vendor page on 2026-07-27 and should be re-checked before it goes near a budget. Third-party roundups are unreliable here: several published in 2026 still quote figures the vendors have moved away from.

The bundled-versus-BYO split is the detail most comparisons skip, and it makes sticker prices incomparable. Kameleo's €59 Startup tier and Multilogin's $11 Pro 10 are not the same purchase, because one includes no bandwidth and the other includes a gigabyte, and neither is the same as Kameleo's concurrency-based counting versus Multilogin's profile count. If you already hold a proxy contract, a BYO tool avoids paying for bandwidth twice, and proxy pricing models covers what you should be paying per gigabyte before you accept a bundled rate.

Two figures in that table are softer than the rest and worth flagging. AdsPower's pricing table renders its numbers client-side and did not produce values for us, so the entry describes the shape of the plans rather than quoting a price we cannot stand behind. Surfsky's tiers are the same situation. In both cases, get the number from the vendor.

Antidetect browser, cloud browser, or scraping API

The middle column deserves a moment, because it is where a lot of teams that think they want an antidetect browser actually land. Browser infrastructure sells managed Chromium over CDP with stealth and CAPTCHA handling attached, and hands you no identity to maintain. Browserbase is the clearest example: connect Playwright or Puppeteer, take a session, throw it away, and pay for the hours. Surfsky and Nstbrowser straddle the line by running antidetect-grade browsers in the cloud, which is the right answer if you want fingerprint control without racking machines. If you are going to drive profiles from code either way, automating antidetect browsers covers the local APIs and Playwright bindings involved.

Choosing among the antidetect tools

Recommending all eight would be useless, so each entry below leads with where that tool is the wrong buy.

Kameleo fits teams that already own their proxy contract and want to drive profiles from code. It runs locally, ships a Local API with SDKs for Selenium, Playwright and Puppeteer, and is Docker-ready. Billing on concurrent browsers rather than stored profiles matches an automation workload honestly, since ten profiles you open one at a time cost what one does. It is wrong for a non-technical operator who wants a point-and-click profile manager, and the concurrency ladder gets steep: €1,499 a month for 1,000 concurrent browsers on month-to-month billing is real money for capacity you are still running on your own hardware.

Multilogin fits teams that want the deepest engine work in the category, with two independently forked kernels, a documented API, and the longest operating history here. Its entry tiers are also the cheapest honest way into per-profile isolation, at ten profiles for $11 a month. It is wrong for anyone whose real workload is bulk collection: the plan ladder counts profiles, so it prices a job measured in pages as though it were a job measured in identities. It is also the wrong shape if you want mobile-surface features you will never open, since those are bundled into the same tiers.

GoLogin fits solo operators and small teams who want bundled residential traffic on the same invoice as the browser, with a desktop app across the three major platforms and a documented API. It is wrong for anyone who needs a handful of profiles: the paid ladder starts at 100 profiles, so a team that needs five is buying ninety-five it will not use, and Multilogin's Pro 10 is the cheaper shape for that. The vendor also carries two figures per tier depending on billing term, so read the page carefully before assuming which one you are quoted.

AdsPower fits e-commerce and agency teams who want automation without writing code, via RPA templates and a synchroniser that drives many profiles at once. It is wrong for a data engineering team: you would be paying for a no-code layer you never open, and getting less engine-level depth than Kameleo or Multilogin in exchange. It is also the hardest of the eight to budget for from the outside, because its pricing table does not render a number until you interact with it.

Nstbrowser fits teams that want cloud profiles with proxy bandwidth on the same invoice, and are comfortable with a younger product. Self-hosted Docker is available if the cloud is a non-starter. It is wrong where procurement demands a long operating history, and its bundled residential overage of roughly $1.50 to $1.80 per gigabyte is not a rate you should accept if you already buy residential traffic in volume elsewhere.

Surfsky fits engineers who want an antidetect browser addressed purely as infrastructure, over CDP from Playwright, Puppeteer, Selenium or chromedp, with no desktop client involved. It is wrong for manual profile work, since there is no GUI to speak of, and its headline success rates are vendor claims rather than audited measurements, so treat them as a reason to run a trial rather than as evidence.

Browserbase fits agent and automation workloads that need disposable browsers plus observability: session recording, debugging tools, and a Fetch API priced per thousand calls for the jobs that do not need a full session. It is wrong when the requirement is a stable identity, because browser hours are the wrong unit for something that has to persist for a month, and its proxy bandwidth at $12 per gigabyte on the Developer plan is expensive if you plan to push volume through it.

Scrapfly fits everything on this list that is not actually about identity. One endpoint, one key, credits that scale with the difficulty of the page rather than the time a browser stayed open, and failed scrapes that do not bill. It is wrong the moment the job needs your own logged-in session, and no quantity of credits substitutes for that.

Out of scope

This site covers data collection. Bulk account creation, account farming, and working around a platform's terms of service are the other half of the antidetect market, and they are not covered here, in any tool description on this site, or in any recommendation above. That is an editorial line rather than a technical one: the same profile isolation serves both uses, and the vendors sell to both. Where a use case requires credentials you are not entitled to hold, none of the tooling advice on this page applies.

Legitimate collection carries its own obligations regardless of tooling. Read the terms of the sites you collect from, honour robots directives where they apply to you, keep request rates proportionate to what the target can absorb, and handle personal data under whatever regime governs it. An antidetect browser changes none of that. It only changes what the target sees.

A short decision procedure

1. Fetch the page over plain HTTP. If the data is in the response, stop. No browser, no subscription, nothing further to buy.
2. If it needs rendering but not a login, price a scraping API first. Rendering is a surcharge on a request, not a reason to run browser fleets.
3. If it needs a login you own, or a specific locale you must hold steady, buy profiles. Match the tool to how you will drive it: Kameleo or Surfsky from code, AdsPower or GoLogin from a GUI, Multilogin if you want the deepest engine work.
4. If it needs many browsers but no identity, buy browser hours. Browserbase and the rest of the browser infrastructure category.
5. Check whether proxies are included before comparing prices. Kameleo and AdsPower sell none. GoLogin, Multilogin and Nstbrowser bundle some, and the bundle is small.
6. Re-verify every price at the source. Vendors in this category repriced during 2026, and much of what is published about them still quotes older figures.

Most teams that run this procedure honestly end up with a scraping API for the bulk of their collection and a handful of antidetect profiles for the accounts that need them. Both line items stay small, and each one is doing the job it was priced for. If you are still deciding at the category level, how to choose a web scraping tool starts one step further back.