Best Web Scraping APIs to Bypass Kasada: July 2026 Benchmark

Scrapfly is the best web scraping API for bypassing Kasada, with a 97% success rate across 8 web scraping APIs benchmarked against live Kasada-protected sites in July 2026. 2 of the 8 cleared above 90%. The benchmark is open source on GitHub, refreshed twice a month, with no sponsors and no affiliate links.

Kasada is built around a different premise than most anti-bots. Rather than trying to distinguish humans from bots through behavioral observation, it makes automation economically unviable through cryptographic proof-of-work challenges. Its client-side JavaScript is heavily obfuscated and anti-tamper protected, which means any attempt to analyze or reverse-engineer the challenge is detected and flagged. The APIs that clear Kasada aren't cracking the challenge through analysis. They're satisfying it the same way a real browser would.

Ranked by live Kasada success rate, best first:

1. 🥇 Scrapfly: 97% success on Kasada
2. 🥈 Firecrawl: 92% success on Kasada
3. 🥉 WebScrapingAPI: 75% success on Kasada

Top 6 web scraping APIs for Kasada, ranked

Kasada protects one clean benchmark target, Realtor.com. Its per-target ranking lives on the Realtor.com page rather than being duplicated here.

#	Service	Success	Speed	Cost/1k		Code
1 🥇	Scrapfly	97%	5.0s	$4.37	(237) ★ 4.9	code
2 🥈	Firecrawl	92%	8.2s	$6.89	—	code
3 🥉	WebScrapingAPI	75%	19.7s	$2.71	—	code
4	Zenrows	33%	36.3s	$6.9	(103) ★ 4.8	code
5	Scraperapi	17%	8.0s	$0.49	(62) ★ 4.6	code
6	Scrapingdog	12%	18.8s	$5.0	—	code

Data range Jul 03 – Jul 17

Ranking history: web scraping APIs vs Kasada over time

The 6 web scraping APIs for Kasada, reviewed

1. Scrapfly: 97% success on Kasada

Kasada's proof-of-work challenge is designed to be expensive to solve without a real browser. Scrapfly cleared 97% of requests here by executing it in a genuine browser environment rather than attempting to replicate the output. That distinction matters more against Kasada than almost any other anti-bot, because Kasada actively checks for analysis attempts and flags sessions that look like they're probing the challenge rather than solving it.

At $4.37 per 1,000 successful requests and 5.0s average response time, the figures hold up well for a Kasada-capable API. The 97% success rate is the headline, but the consistency across repeated sessions is what makes it reliable in production.

Pros:

• Highest success rate in the test, solving Kasada's proof-of-work in a real browser, run after run
• Only charges for successful scrapes, so failed requests cost nothing
• First-class SDKs for Python, TypeScript, Go, and Rust, plus a Scrapy extension
• One asp flag turns on the full anti-bot stack, so there is little to tune

Cons:

• The entry (Discovery) plan caps concurrency at 5 requests, so high-throughput jobs need a higher tier
• The free tier is a one-time 1,000 credits, enough to prototype and smoke-test but not to benchmark at volume
• The dashboard could be more polished for usage monitoring and debugging

2. Firecrawl: 92% success on Kasada

The reason to consider Firecrawl is its output format: it returns structured markdown rather than raw HTML, so pipelines feeding an LLM or RAG system save the parsing and cleaning step. It's the most expensive option in the group and among the slowest, so that saving has to be worth the premium. On Kasada it cleared 92% this run.

Pros:

• Returns LLM-ready markdown, saving a parsing step for AI and RAG pipelines
• Runs a real browser, which Kasada's proof-of-work requires

Cons:

• Kasada's proof-of-work is a demanding fit, and it clears few sessions
• Most expensive per successful request; cost is the top user complaint
• Among the slowest options, with a full browser per page

3. WebScrapingAPI: 75% success on Kasada

WebScrapingAPI's pull is price: a low cost per request and one of the cheaper cost-per-success figures in the group. What holds it back is 19.7s average response time. Kasada is deployed heavily on high-traffic retail and ticketing sites where timing matters, so it fits async or overnight jobs but not time-sensitive ones. On Kasada it cleared 75% this run.

Pros:

• Low cost per request
• Broad language SDK range

Cons:

• Kasada's silent blocking makes it easy to keep paying for empty 200 responses unless you check content
• Slow at 19.7s, so it fits async or overnight jobs
• Customer support is a recurring complaint in user reviews

4. Zenrows: 33% success on Kasada

Zenrows is a general-purpose scraping API with JavaScript rendering and session support, positioned as an all-rounder rather than a specialist on any single axis. It renders a real browser, which is what Kasada's proof-of-work requires, and on Kasada it cleared 33% this run. It fits when you want one general-purpose tool rather than optimizing hard for cost, speed, or maximum reliability.

Pros:

• Real-browser rendering and sessions, which Kasada's challenge requires
• One general-purpose tool covers rendering, proxies, and CAPTCHA handling

Cons:

• Kasada's session-level trust scoring degrades a stack that behaves mechanically over time
• Cost climbs on heavy or large-scale usage, the recurring user complaint
• Premium proxy geo-coverage is unclear

5. Scraperapi: 17% success on Kasada

Scraperapi's story is speed: when it clears a request it tends to return quickly, which suits latency-sensitive pipelines that can absorb retries. Kasada is the harder test for that model, because its proof-of-work challenge needs a full browser rather than a fast request path. On Kasada it cleared 17% this run.

Pros:

• Fast when it clears, with a simple integration
• Broad language SDK support

Cons:

• A fast request path doesn't satisfy Kasada's proof-of-work, so plan for retries
• Login-required sites and form filling are off-limits
• Geotargeting is gated by plan (US and EU only until the Business tier)

6. Scrapingdog: 12% success on Kasada

Scrapingdog offers the cheapest entry pricing in the group and a simple API, without first-party SDKs. Kasada's anti-tamper system flags clients that can't execute its challenge in a genuine browser context, which is the bar a request-based tool has to clear. On Kasada it cleared 12% this run.

Pros:

• Cheapest entry pricing
• Simple API

Cons:

• A request-based approach is exposed by Kasada's anti-tamper checks
• No first-party SDKs
• Customer support is the most common complaint in user reviews

What makes Kasada hard to scrape

Most anti-bots ask "is this a bot?" Kasada asks a different question: "is this automation worth the cost of maintaining?" Its entire design is built around making scraping and bot traffic economically unviable rather than just technically blocked.

Cryptographic proof-of-work. Kasada's core challenge requires the client to perform real computation before a request is processed. The challenge is generated per-session, so pre-computed answers don't work. A real browser running Kasada's JavaScript does this automatically. A scraper that can't execute the JavaScript in a genuine environment has no way to satisfy it.

Anti-tamper and anti-analysis. Kasada's client-side JavaScript is heavily obfuscated and includes active anti-debugging logic. If a session tries to inspect, pause, or reverse-engineer the challenge, that behavior is detected and the session is flagged. This is what makes Kasada particularly resistant to the "analyze the challenge and replicate the output" approach. The analysis attempt itself is the trigger.

Silent blocking. Unlike anti-bots that return a 403 or a challenge page, Kasada sometimes returns a 200 response with empty or misleading data. A scraper that checks only status codes rather than response content can run for hours collecting nothing while appearing to succeed. This is intentional: it raises the cost of detecting that you've been blocked.

Session-level trust scoring. Kasada tracks sessions over time and degrades their trust score based on request patterns, timing, and interaction signals. A session that passes the initial challenge but then scrapes at machine speed or skips page interactions accumulates a low trust score and starts receiving degraded responses.

The proof-of-work model is what separates Kasada from most other anti-bots. There's no rule to learn and satisfy. You either do the work a real browser does, or you don't get through.

How to choose a web scraping API for Kasada

Kasada is closer to pass-or-fail than most anti-bots, so start by narrowing to the providers still clearing it this run (the top of the ranked table), then choose within that set.

• Reliability first. Scrapfly leads on Kasada and holds its rate across sessions, which matters because Kasada's trust scoring drops a provider that passes the initial challenge but drifts in later requests. It's the default for production work.
• Cost or speed. Among the providers still clearing Kasada this run, sort the table by cost per successful request or by speed and pick accordingly. Don't build on the ones that fail, which on Kasada is most of the field.

Avoid deciding on headline price. Kasada's silent blocking means a low-cost API can return responses that look correct while delivering nothing useful, so its real cost per usable result is far higher than its rate card suggests. Judge on cost per successful request.

How we benchmark web scraping APIs against Kasada

Every API is tested against the same live Kasada-protected URLs at the same time, 1,000+ requests per provider, twice a month. We pay for the plans ourselves. No affiliate links, no sponsors, no providers with early access to results. The full benchmark is open source on GitHub, so you can reproduce every result yourself.

One thing worth noting about benchmarking Kasada specifically: success rate is measured on response content, not HTTP status codes. Because Kasada sometimes returns 200 responses with empty or degraded data, a test that only checks for a 200 would overstate results significantly. We verify that responses contain the expected content before counting them as successful. Latest data: Jul 03 – Jul 17, 2026.

Frequently asked questions about scraping Kasada

Can web scraping APIs reliably bypass Kasada in 2026?

A few can. In this benchmark, 2 cleared above 90% and 3 cleared above 50%. The rest failed most requests or all of them. Kasada's proof-of-work challenge is harder to fake than most anti-bot mechanisms.

Why does Kasada sometimes return a 200 response even when blocking?

That's intentional. Kasada's silent blocking is designed to raise the cost of detecting that you've been blocked. If a scraper only checks HTTP status codes, it will keep running and collecting empty responses, burning credits and time without realizing it. Checking that responses actually contain expected content, not just a 200 status, is essential when working with Kasada-protected targets.

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

Sort the ranked table by cost per successful request and read down to the first provider still clearing Kasada this run; that's the cheapest option that actually delivers. Lower-priced options in the ranking fail too many requests for their rate to be meaningful, and Kasada's silent blocking hides those failures unless you check response content.

Why do some APIs work on other anti-bots but fail on Kasada?

Because Kasada's proof-of-work challenge requires genuine JavaScript execution in a real browser environment, and its anti-tamper system detects attempts to analyze or replicate the challenge. APIs that rely on HTTP-level workarounds or don't run a full browser can clear simpler anti-bots but have no path through Kasada's cryptographic requirement.

Does Kasada affect all requests or just the first one?

Both. The initial challenge gates the first request, and session-level trust scoring continues throughout. A session that passes the first check but then behaves mechanically (fixed timing, no scroll events, no interaction signals) will accumulate a low trust score and start receiving degraded or empty responses. Providers that only solve the initial gate and then send raw requests will see their success rate drop in extended sessions.

How often is this benchmark updated?

Twice a month against the same live targets, 1,000+ requests per API each run. Results are published after each run with no adjustments. The code is on GitHub if you want to verify any figure.

Conclusion

Kasada is closer to pass-or-fail than the other anti-bots in this series: a provider either does the work a real browser does or it doesn't get through. If the target is Kasada-protected, start with Scrapfly for the highest reliability, and for cost or speed, choose among the providers still clearing Kasada this run.

One thing worth doing regardless of which provider you choose: verify your results on response content, not status codes. Kasada's silent blocking means a 200 response is not confirmation that the bypass worked. The benchmark refreshes twice a month, so check it before committing.

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