Best ScraperAPI Alternative for Anti-Bot Bypass

ZenRows is the best ScraperAPI alternative for developers who need reliable anti-bot bypass with a bill they can model before a job runs.

ScraperAPI's Hobby plan advertises 100,000 credits. On heavily protected sites where JavaScript rendering and ultra-premium proxies both apply, the effective multiplier reaches 75 credits per request. That brings 100,000 credits down to 1,333 usable requests, at a cost that was not visible when you signed up. ZenRows charges a fixed four-tier multiplier published before signup, fails free, and achieves 99.7% success across protected targets in our original tests, compared to 60.8% for ScraperAPI across the same six protected targets.

This article compares both tools head-to-head on success rate, pricing, speed, and developer experience, then presents five alternatives for specific use cases. If you want a quick side-by-side before diving in, the ScraperAPI vs ZenRows table below has you covered.

ZenRows vs. ScraperAPI at a Glance

Every number in that table comes from original testing across eight target URLs, and here's how we ran it.

How We Tested

We benchmarked ZenRows and ScraperAPI on 19th June 2026 against eight target URLs with different protection levels:

• Amazon product page
• Glassdoor company page
• Idealista property listing
• LinkedIn company profile
• Google SERP results page
• Footlocker category page
• Hacker News (unprotected)
• Python documentation index (unprotected)

Each target received 200 requests at two concurrency levels: 2 requests per second (low load) and 10 requests per second (high load), measuring HTTP 200 success rate, response time in seconds, and the presence of a valid page title in the HTML results.

ZenRows ran on the Developer plan with mode=auto on all requests. ScraperAPI used default routing with no manual ultra_premium flag.

Check out the GitHub repository for the full test scripts and results.

This test doesn't cover bulk asynchronous job workflows, no-code scheduling via ScraperAPI's DataPipeline, or session persistence across multi-step logged-in workflows. But for what the tests did cover, the results are documented below.

Anti-Bot Bypass: Which API Beats Cloudflare, DataDome, and PerimeterX?

Across six protected targets in our tests (Amazon, Glassdoor, Idealista, LinkedIn, Google SERP, and Footlocker), ZenRows returned a 99.7% success rate at 2 req/s and 99.9% at 10 req/s. ScraperAPI returned 60.8% at 2 req/s and 51.2% at 10 req/s across the same targets.

The performance gap is widest on the hardest targets. ZenRows scraped LinkedIn, Footlocker, Glassdoor, and Idealista at 100% on both concurrency levels. Amazon returned 99.1% at low concurrency and 100% at high concurrency. ScraperAPI restricts access to LinkedIn on paid plans above the free tier, returning 403s with an explicit message stating that the domain requires a plan upgrade. All 200 requests across both concurrency levels returned that same 403. Footlocker returned the same 403 pattern with a different message, stating the domain requires ultra_premium=true at 30 credits per request. On Idealista at high concurrency, ScraperAPI's success rate collapsed to 7.5%, returning 500 errors on 185 of 200 requests.

What mode=auto does

ZenRows' mode=auto is the configuration behind these numbers. Instead of requiring you to manually specify js_render=true or premium_proxy=true, ZenRows starts each request with the cheapest method and escalates only when the target site pushes back. On a heavily protected target like Glassdoor or LinkedIn, it automatically escalates to premium proxies and JavaScript rendering, with no parameter changes on your end. The credit cost adjusts accordingly, but you pay only for successful requests.

ScraperAPI's equivalent is manual. By default, ScraperAPI attempts the request without premium proxies. If the target blocks it, the request fails, and you get a 403 or 500. To get better results on hard targets, you need to manually add render=true or ultra_premium=true to your request, which immediately changes your credit cost to 10 or 30 credits per request.

On the Proxyway finding

Proxyway's 2025 Web Scraping API Report put ZenRows at 70.39% success rate at 2 req/s, dropping to 31.76% at 10 req/s, noting that “ZenRows suffered the most, likely due to hitting concurrency limits." Proxyway also acknowledged that 'the results may not represent its full capabilities.' Our test used a different set of eight targets and returned 99.9% at 10 req/s. We used mode=auto on the Developer plan, the default configuration for any integration.

Speed: Response Time Compared

Response time depends on the target type. On unprotected pages, ZenRows is significantly faster. On protected pages, ScraperAPI is faster on the requests it successfully completes.

For unprotected pages

On Hacker News and Python Docs, ZenRows returned a median response time of 0.7s and 0.5s, respectively, at low concurrency. ScraperAPI returned 2.1s and 1.5s on the same targets. ZenRows is roughly 3x faster on unprotected pages because it avoids escalating to JavaScript rendering or premium proxies on targets that don't need them. The request goes through basic routing and comes back quickly.

For protected pages

On protected targets where both platforms succeeded, ScraperAPI was faster. The median response times on Amazon, Glassdoor, Idealista, and Google SERP ranged from 1.4s to 4.6s at low concurrency. ZenRows ranged from 2.7s to 17.9s on the same targets.

The slowest ZenRows result was the Google SERP, with a median of 17.9s, which reflects the time ZenRows spent escalating through bypass layers before successfully returning the page.

The tradeoff is straightforward. ScraperAPI completes successful requests faster on protected pages but succeeds far less often, 60.8% at low concurrency versus ZenRows' 99.7%. For workloads where response time matters more than success rate, ScraperAPI has an edge in the number of requests it can handle.

On existing benchmarks

Independent benchmarks have given conflicting speed results for both platforms. Scrapeway's benchmark shows ScraperAPI averaging 7.5s response time while Scrape.do's benchmark clocks ZenRows at an average of 6.7s, versus ScraperAPI's 5.6s. Our tests show that the answer depends entirely on the target type. ScraperAPI is faster on protected pages where it succeeds. ZenRows is faster on unprotected pages and more consistent across the full target mix.

Pricing: What You Actually Pay Per Successful Request

Both ZenRows and ScraperAPI use credit multipliers, but the math looks very different depending on what you're scraping.

How ZenRows prices requests

ZenRows operates on four pricing tiers. A basic request on an unprotected page costs one credit. JavaScript rendering bumps that to five credits. Premium proxies cost 10 credits. If you need both JS rendering and premium proxies on a protected site, the multiplier is 25 credits per request. Failed requests cost zero credits regardless of tier. On the Developer plan at $69.99/month, you get 250,000 basic credits, which translates to 10,000 usable requests on fully protected pages at the 25x rate.

How ScraperAPI prices requests

ScraperAPI's Hobby plan at $49/month includes 100,000 credits, which sounds generous until the domain multipliers apply. Amazon requests cost five credits each automatically. Google SERP requests cost 25 credits each. LinkedIn requests cost 30 credits each. Layer JavaScript rendering on top of any of those, and you add another 10 credits per request. The worst-case stack is 75 credits per request, so your 100,000-credit Hobby plan covers just 1,333 requests on the hardest targets.

The effective cost at four volume levels

At 1,000 requests per month on basic unprotected pages, both platforms are comparable. ZenRows charges $0.28 per 1,000 basic requests on the Developer plan, while ScraperAPI charges $0.49 per 1,000 on the Hobby plan. The gap widens significantly on protected pages at higher volumes.

At 10,000 requests per month on protected pages, ZenRows costs $69.99 per month on the Developer plan with failures free. ScraperAPI's effective cost depends entirely on which domains you target. On the Hobby plan, Amazon charges $24.50 for 10,000 requests, with 5 credits per request. Google SERP at 25 credits costs $122.50 for the same volume, which already exceeds the Hobby plan's 100,000-credit ceiling and requires an upgrade to the Startup plan at $149/month.

At 100,000 requests per month on protected pages, ZenRows scales to the Startup plan at $129/month, which covers 40,000 protected requests at $3.25 per 1,000 requests. ScraperAPI's Startup plan at $149/month gives you 1,000,000 credits, but at 25 credits per request on Google SERP, that covers only 40,000 requests at $3.73 per 1,000, with no credit back for failures.

At 1,000,000 requests per month, ZenRows' Business plan at $299/month covers 120,000 protected requests at $2.50 per 1,000. ScraperAPI's Business plan at $299/month gives you 3,000,000 credits, but on high-multiplier domains, that number shrinks considerably depending on your target mix.

ZenRows charges zero for failed requests regardless of the reason. ScraperAPI states that they only charge for 200 and 404 responses, as well as for requests canceled before their 70-second retry window completes. On paper, that sounds fair, but 404 responses on protected sites are a real cost. When Cloudflare or DataDome returns a 404 block page, ScraperAPI charges you for it, while ZenRows doesn’t.

Developer Experience: SDK, Integration, and Scraping Browser

Getting to your first request

ZenRows gets you to a working request in under five minutes. After installing the SDK with pip install zenrows and adding your API key, your first scraper code looks like this:

from zenrows import ZenRowsClient

client = ZenRowsClient("YOUR-API-KEY")
url = "https://www.footlocker.com/category/mens/shoes.html"
response = client.get(url)
print(response.text)

ScraperAPI follows the same pattern with pip install scraperapi-sdk:

from scraperapi_sdk import ScraperAPIClient

client = ScraperAPIClient("YOUR-API-KEY")
url = "https://www.footlocker.com/category/mens/shoes.html"
result = client.get(url)
print(result)

Both platforms reach parity on basic integration speed. But the gap becomes apparent when you add JavaScript rendering and geo-targeting to the same call.

JS rendering with geo-targeting: side by side

Here is the same task on both platforms, a JS-rendered request to a Cloudflare-protected target with geo set to the US:

ZenRows:

from zenrows import ZenRowsClient

client = ZenRowsClient("YOUR-API-KEY")
url = "https://www.footlocker.com/category/mens/shoes.html"
params = {
    "js_render": "true",
    "premium_proxy": "true",
    "proxy_country": "us",
}
response = client.get(url, params=params)
print(response.text)

ScraperAPI:

import requests

payload = {
    "api_key": "YOUR-API-KEY",
    "url": "https://www.footlocker.com/category/mens/shoes.html",
    "render": "true",
    "premium": "true",
    "country_code": "us",
}
response = requests.get("https://api.scraperapi.com/", params=payload)
print(response.text)

ZenRows uses a dedicated SDK client while ScraperAPI passes everything as query parameters directly to the endpoint. Neither approach is meaningfully harder than the other for a Python developer.

ZenRows scraping browser

If you already run Playwright or Puppeteer locally, ZenRows' Scraping Browser lets you connect to a cloud browser over WebSocket with a single line change. Your existing scripts run as-is while ZenRows handles the browser infrastructure, proxy rotation, and anti-bot evasion on their end.

ScraperAPI DataPipeline

ScraperAPI's DataPipeline lets you define a list of URLs, set a schedule, and receive results via webhook without writing any code. That alone makes it worth choosing if your workflow depends on scheduled scraping.

Geo-Targeting, Session Persistence, and Structured Data

Beyond anti-bot bypass and pricing, three features tend to be the deciding factor for developers who scrape across multiple markets, run multi-step workflows, or need data returned as structured JSON.

1. Geo-targeting

ZenRows makes country-level geo-targeting available on every plan, including the entry-level Developer plan. With a residential proxy pool of over 55 million IPs across 190+ countries, you can pass a single proxy_country parameter to target any supported country, regardless of your plan tier.

ScraperAPI handles this differently. The Hobby and Startup plans only support US- and EU-based geo-targeting, with individual country-level targeting restricted to the Business plan at $299/month and above.

2. Session persistence

For workflows that require logging in, navigating between pages, and extracting data within a single authenticated session, both platforms offer solutions, but through different mechanisms.

ZenRows handles session persistence through the Scraping Browser via WebSocket connections. You maintain the full browser state across multiple page interactions, including cookies, local storage, and JavaScript execution context, and the session stays alive as long as the WebSocket connection remains open.

ScraperAPI handles this via a session parameter that maintains the same proxy IP across multiple requests. For multi-step workflows on logged-in pages, you pass a session number with each request, and ScraperAPI routes them through the same IP to maintain continuity. Workflows that depend on cookies, local storage, and full JavaScript execution across page interactions will require more than proxy-level session management.

3. Structured data endpoints

If raw HTML isn't what you need and you want data returned as clean JSON without writing a custom parser, the two platforms are not in the same position.

ScraperAPI has a significant lead here. Following its acquisition of Traject Data, ScraperAPI offers pre-parsed JSON endpoints across Amazon, Google, Walmart, eBay, and Redfin, covering product pages, search results, reviews, and category listings across those domains. Instead of receiving raw HTML that you then need to parse yourself, you get structured data ready for your pipeline.

ZenRows has beta structured data endpoints for Amazon, Walmart, Zillow, and Idealista. The coverage is narrower, and the endpoints are still in Beta, which means the data models may change. If your primary use case is pulling Google SERP results or Amazon product data as clean JSON without writing a custom parser, ScraperAPI's structured data library is the stronger choice.

When to Choose ScraperAPI Instead

ZenRows is the stronger choice for most anti-bot bypass workloads, but there are specific situations where ScraperAPI is the more practical option.

If all of the following conditions apply to your workload, ScraperAPI is worth choosing.

1. Your targets are Amazon, Google SERP, or Walmart, and you need structured JSON

ScraperAPI's structured data endpoints for Amazon, Google, and Walmart return clean, pre-parsed JSON without any custom parser on your end. If the bulk of your scraping targets these three domains, and you want data ready for your pipeline without writing extraction logic, ScraperAPI's library covers this better than ZenRows' Beta endpoints do currently.

2. Your pages are mostly unprotected

On unprotected pages where multipliers don't stack, ScraperAPI's Hobby plan at $49/month for 100,000 credits covers a high volume of requests at a lower entry price than ZenRows' Developer plan at $69.99/month.

3. You don't need country-level geo-targeting below $299/month

If US and EU regional targeting is sufficient for your workload, ScraperAPI's Hobby and Startup plans cover that without forcing an upgrade. Country-level targeting only becomes a constraint if you need specific countries outside the US and EU on a budget below the Business Plan.

4. You need a no-code job scheduler and webhook callbacks

ScraperAPI's DataPipeline lets you schedule recurring scraping jobs, define URL lists, and receive results via webhook without writing any code.

5. Your primary language is Ruby or PHP

ScraperAPI maintains official SDKs for Ruby and PHP. ZenRows' official SDK support focuses on Python and Node.js. If your stack is built around Ruby or PHP, ScraperAPI's native SDK saves you the integration work.

Outside these five conditions, ZenRows is the stronger default. The credit math on protected sites, the transparent multiplier structure, and the zero-cost failure policy give it a meaningful edge for any developer scraping Cloudflare or DataDome targets at meaningful volume. But if your workload fits the conditions above, ScraperAPI is the right tool for the job.

Other ScraperAPI Alternatives Worth Knowing

ZenRows and ScraperAPI aren’t the only options worth evaluating. Depending on your workload, budget, and technical requirements, one of these five tools may be a better fit.

1. Bright Data

Bright Data achieved a 98.87% average success rate in Scrape.do's independent benchmark of 11 providers, the highest of any provider tested. Its residential proxy network of over 150 million IPs is the largest available, and Web Scraper API pricing starts at $1.50 per 1,000 requests on a pay-as-you-go basis, with committed plans starting at $499/month. It is the right choice for organizations with serious compliance requirements and high-volume data extraction needs. For any developer trying to keep costs under $500/month, this is the wrong starting point.

2. Apify

Apify is a scraping platform built around containerized scrapers called Actors. Instead of sending URLs to an endpoint, you pick from a marketplace of over 20,000 pre-built options covering Instagram, TikTok, Google Maps, and more. The Starter plan runs $29/month. It's the right choice when you need a pre-built scraper for a specific hard site and don’t want to build it yourself. The billing model charges by Compute Unit, which is RAM multiplied by runtime, making costs hard to predict in advance for variable workloads.

3. Firecrawl

Firecrawl is purpose-built for feeding clean Markdown to large language models. It strips out navigation, ads, and boilerplate, returning structured text optimized for AI ingestion, starting at $16/month for 3,000 credits. Pick it when your pipeline needs clean, structured web content fed directly into an LLM.

4. ScrapingBee

ScrapingBee is the closest head-to-head competitor to ZenRows in terms of price and feature set. The entry plan costs $49/month for 250,000 credits, with a similar credit multiplier system for JavaScript rendering and premium proxies. It's worth testing alongside ZenRows if you want a direct price comparison at the entry tier, particularly for unprotected pages where both platforms perform similarly.

5. Zyte

Zyte, the company behind the popular Scrapy framework, has been in the web scraping business since 2010 and leads Proxyway's 2025 Web Scraping API Report with a 93.14% success rate across 15 protected targets. The tradeoff is pricing transparency. Zyte operates on a pay-as-you-go model, with per-request costs ranging from $0.13 to over $16 per 1,000 requests, depending on domain difficulty. Users have reported unexpected bills due to the unpredictable cost spread. The right choice for enterprises that need the best possible success rate on the hardest targets and can tolerate variable, sales-gated pricing.

The table below puts all the tools side by side across the criteria that matter most, so you can compare the full field at a glance.

For most developers scraping protected sites, ZenRows is the stronger default. The benchmark data is clear: a 99.7% success rate on protected targets versus ScraperAPI's 60.8%, zero cost on failed requests, and a transparent four-tier multiplier structure that makes your monthly bill predictable before you write a single line of code.

If your workload fits the five conditions in the ScraperAPI section, use ScraperAPI. If it doesn't, start with ZenRows' free trial and run it against your targets.