Best Web Scraping APIs to Bypass DataDome: June 2026 Benchmark

Scrapfly is the best web scraping API for bypassing DataDome, with a 100% success rate across 8 web scraping APIs benchmarked against live DataDome-protected pages in June 2026. 4 of the 8 cleared DataDome at 50% or better, but only 2 held above 90%, and the gap between them came down to speed and cost.

DataDome is one of the toughest anti-bot systems on the web, and most scraping APIs either fail its device checks outright or pay for the bypass in speed and cost. The benchmark is open source on GitHub and refreshed twice a month, with no affiliate links and no sponsors, so you can reproduce every number here yourself.

Quick verdict: the best web scraping API for DataDome

Scrapfly is the pick for DataDome. It topped the table at a 100% success rate while staying fast at 3.6s, which matters more than a low sticker price once you count the requests that fail along the way.

#	Service	Success	Speed	Cost/1k
1 🥇	Scrapfly	100%	3.6s	$3.84
2 🥈	Zenrows	90%	18.0s	$6.9
3 🥉	Firecrawl	89%	8.0s	$6.54

Of the 8 APIs tested, 4 cleared DataDome at 50% or better, but only 2 Scrapfly and Zenrows stayed above 90%. The cheaper or faster options either traded away reliability or collapsed, with Scrapingbee clearing just 15%.

The web scraping APIs for DataDome, ranked

These are the best scraping APIs against a DataDome-protected target, Etsy.com.

#	Service	Success	Speed	Cost/1k		Code
1 🥇	Scrapfly	100%	3.6s	$3.84	(237) ★ 4.9	code
2 🥈	Zenrows	90%	18.0s	$6.9	(103) ★ 4.8	code
3 🥉	Firecrawl	89%	8.0s	$6.54	—	code
4	WebScrapingAPI	67%	36.4s	$2.71	—	code
5	Scraperapi	45%	2.2s	$4.9	(62) ★ 4.6	code
6	Scrapingant	42%	51.5s	$1.9	—	code
7	Scrapingdog	38%	15.6s	$5.0	—	code
8	Scrapingbee	15%	4.1s	$3.34	(137) ★ 4.9	code

Data range Jun 05 – Jun 19

Service specifications, explained

The ranking above sorts providers on success, speed, and cost. The specs below cover the capabilities that decide how each one fits your stack, language SDKs, JavaScript rendering, custom JS execution, sessions, and geotargeting, so you can match a provider to your setup without opening every feature page.

How the DataDome rankings have changed over time

Every benchmark re-ranks a service against the same live DataDome target, so a position change reflects a real shift in success, speed, and cost rather than a one-off run. Watch how the standings have moved across past benchmarks.

The 8 web scraping APIs for DataDome, reviewed

1. Scrapfly: 100% success on DataDome

Scrapfly cleared 100% of DataDome requests at $3.84 per 1,000 successful requests and averaged 3.6s per request. That is an uncommon combination, since most APIs that solve DataDome's device checks pay for it in added latency.

Consistency was the standout. It held its rate without device checks slipping through on retries, and that is also why its cost per successful request stays low. Few requests fail, so you rarely end up paying twice for the same page.

Pros:

• Highest success rate in the benchmark at 100%
• Cheapest cost per successful request among reliable providers at $3.84/1k
• Fastest reliable provider at 3.6s

Cons:

• Credits do not carry over month-to-month.
• No annual plans are available.

2. Zenrows: 90% success on DataDome

Zenrows cleared 90% of DataDome requests at $6.90 per 1,000 successful requests and averaged 18.0s per request.

It clears DataDome consistently without leading on price. Faster and cheaper providers clear it at similar or higher rates, so it works best when its mid-range latency is the right fit for you.

Pros:

• Reliably clears DataDome at 90%

Cons:

• Highest cost per successful request in the test at $6.90/1k
• Slowest reliable provider at 18.0s
• 10% of requests still fail, so expect some retries

3. Firecrawl: 89% success on DataDome

Firecrawl cleared 89% of DataDome requests at $6.54 per 1,000 successful requests and averaged 8.0s per request.

You are paying for its LLM-ready markdown output, which helps AI and RAG pipelines but is hard to justify on cost alone if you only need raw HTML.

Pros:

• Reasonable speed at 8.0s

Cons:

• Clears only 88.7%, below the 90% bar and too inconsistent for production

4. WebScrapingAPI: 67% success on DataDome

WebScrapingAPI cleared 67% of DataDome requests at $2.71 per 1,000 successful requests and averaged 36.4s per request.

The catch is speed, so it suits batch and overnight jobs where wall-clock time matters less than cost far better than real-time scraping.

Pros:

• Does not charge for blocked requests.

Cons:

• Slow at 36.4s, better suited to batch than real-time work
• Clears only 67.5%, below the 90% bar and too inconsistent for production

5. Scraperapi: 45% success on DataDome

Scraperapi cleared just 45% of DataDome requests, failing roughly 6 in 10. You give up almost nothing on speed by picking it, and a small failure rate is easy to absorb with light retries. For latency-sensitive work it sits right behind the top spot and rarely lets a request through unsolved.

6. Scrapingant: 42% success on DataDome

Scrapingant cleared just 42% of DataDome requests, failing roughly 6 in 10. We can't recommend it for DataDome-protected targets right now, and its low entry cost doesn't help when most requests never return data and each one takes so long to come back.

7. Scrapingdog: 38% success on DataDome

Scrapingdog cleared just 38% of DataDome requests, failing roughly 6 in 10. We can't recommend it for DataDome-protected targets right now.

8. Scrapingbee: 15% success on DataDome

Scrapingbee cleared just 15% of DataDome requests, failing roughly 8 in 10. We can't recommend it for DataDome-protected targets right now, whatever its speed and price look like on paper.

What makes DataDome hard to scrape

DataDome sits in front of the origin as a reverse proxy, so every request is scored before it reaches the site. It weighs several signals at once, and a scraper has to look right on all of them. Get one wrong and the request is challenged or blocked.

The first signal is IP reputation. DataDome flags datacenter ranges almost instantly, so scrapers that don't rotate through residential or mobile addresses get challenged before the page loads. Clean, well-sourced proxies are the baseline for getting past this stage, not an optional upgrade you add later.

The second is TLS and HTTP/2 fingerprinting. DataDome inspects the low-level handshake, including cipher order and header order, to build a fingerprint. A plain client like requests or axios produces a signature no real browser would, so a mismatch gets you blocked even with a clean IP.

On top of that come device and JavaScript checks. DataDome runs browser-side scripts that fingerprint the device and verify the environment. A headless client either can't execute them or runs them in a way that looks automated, and that mismatch alone is enough to trip a challenge.

Finally there are behavioral signals like mouse movement, timing, and navigation patterns. These flag sessions that act like a script instead of a person. DataDome leans on them heavily, which is why simple header spoofing rarely works for long against it on real targets.

This is why most APIs in the ranking fail or score low. Clearing DataDome means getting the IP, the TLS fingerprint, the JavaScript execution, and the device environment all consistent at the same time. Any single mismatch sends the request straight back to a challenge. It also explains why the providers that do clear it tend to be slower or pricier: solving device and JavaScript checks costs real compute, and that shows up in both latency and cost per successful request across the benchmark.

How to choose a web scraping API for DataDome

Match the choice to your constraint. If you need reliability above all, DataDome cleared on the first pass and at scale, Scrapfly leads at 100% and pairs it with the lowest cost per successful request, which makes it the default for production work.

If you want almost the same reliability with top-tier speed, Scrapfly is the fastest reliable option at 3.6s with a manageable 100% success rate, the natural pick when latency matters and you can absorb a tiny failure rate with light retries.

Avoid choosing on sticker price alone. The metric that matters on DataDome is cost per successful request. A cheap API that fails often costs more per usable page than a mid-priced one that clears almost everything on the first try, so judge providers on that rather than the headline rate.

How we benchmark web scraping APIs against DataDome

We independently benchmark 8 web scraping APIs against live DataDome-protected targets, 1,000+ requests per service, twice a month. No affiliate links. No sponsors. Just data. Every API is tested against the same URLs at the same time, under the same conditions.

Cost is measured per 1,000 successful requests on entry-plan pricing, so a cheap API that fails often scores worse than its sticker price suggests. For DataDome the clean target is Etsy, which is protected by DataDome alone, so the numbers reflect that anti-bot and nothing else. These results cover Jun 05 – Jun 19, 2026.

Frequently asked questions about scraping DataDome

Can web scraping APIs reliably bypass DataDome in 2026?

Yes, the best ones do. In the latest benchmark, 4 of 8 APIs cleared DataDome at 50% or better, and 2 (Scrapfly and Zenrows) held above 90%. The top-ranked API cleared 100% of requests. Reliability varies widely between providers, so the API you pick matters more than the fact that it can be done.

What's the cheapest web scraping API that actually works on DataDome?

Scrapfly, at $3.84 per 1,000 successful requests with a 100% success rate, the lowest cost per successful request among the providers that clear DataDome reliably.

Why do some APIs score so low on DataDome?

Because they send requests that don't match a real browser. A client that fails DataDome's TLS or HTTP/2 fingerprint, can't run its device and JavaScript checks, or uses flagged datacenter IPs gets blocked before any content loads. Tools without a real browser engine and quality proxies tend to score lowest.

Does bypassing DataDome require JavaScript rendering?

Usually, yes. DataDome's device and behavioral checks run browser-side, so an API needs a real browser engine to execute and pass them. The providers that clear DataDome reliably here all render JavaScript, while the ones leaning on raw HTTP requests are the ones that score lowest.

How often is this benchmark updated?

Twice a month. We re-run all 8 APIs against the same live targets, 1,000+ requests each, and republish the rankings. The benchmark is open source and carries no affiliate links or sponsors.

Conclusion

For DataDome-protected targets, Scrapfly is the API to beat: 100% success at a low cost per successful request and the fastest reliable speed in the test, with only Zenrows keeping pace above 90%.

The cheaper and slower options have their place, but on DataDome the decision comes down to cost per successful request. This page (refreshed twice a month) is the place to check the latest numbers before you commit.

Other anti-bots: Cloudflare · PerimeterX · Kasada · Imperva  ·  DataDome targets: Etsy  ·  Hub: All anti-bot benchmarks