Best Web Scraping APIs in 2026 (Benchmarked)

Different web scraping APIs optimize for different priorities. Some prioritize anti-bot reliability, others focus on structured extraction, speed, or cost efficiency.

Even three benchmark sources measured performance based on different variables. Proxyway’s 15 protected-site benchmark focused on the most heavily guarded web environments, Scrape.do measured raw response latency and baseline accuracy, and Scrapeway tracked API performance using only default configurations. All of them produced different rankings.

The right choice depends on what you are scraping, at what volume, and the nature of the data you need back. This article combines a live protected-target benchmark of ZenRows, Scrapfly, Zyte, and ScraperAPI with independent benchmark data from Proxyway, Scrape.do, and Scrapeway to evaluate the strengths, weaknesses, and trade-offs of today's leading web scraping APIs.

Our Benchmark Results at a Glance

We tested ZenRows, Scrapfly, Zyte, and ScraperAPI across Zim, Glassdoor, Idealista, and Indeed, each with 100 requests per target at a fixed rate of 2 requests per second. The table below summarizes the overall results.

How We Tested

To validate industry benchmark patterns and observations, such as ZenRows' performance on mainstream protected targets, Zyte's strengths on protected targets, and ScraperAPI's weaker performance on harder anti-bot environments, we also conducted a live validation benchmark on June 19, 2026. We judged each API based on success rate, response time, and effective cost.

A request was considered successful only if it returned both a HTTP 200 status code and a valid target page title in the HTML response. This distinction matters because the test revealed that providers still returned HTTP 200 responses while serving verification pages, redirect flows, or invalid target content.

This methodology revealed the strengths of the scraping APIs and suggests where they are best used. This GitHub repository contains the test script, the results, and the summary.

ZenRows

ZenRows shows a high level of durability when targeting mainstream commercial, job, and real estate platforms. Through its MCP server, ZenRows integrates with AI assistants such as Claude and Cursor and supports integrations with tools such as LangChain, LlamaIndex, n8n, and Playwright. It can also convert web content into clean Markdown or structured JSON formats for AI workflows and data pipelines. ZenRows primarily operates on a pay-only-for-success model, so failed requests do not consume credits. It uses a shared balance across its Universal Scraper API, Scraping Browser, and Residential Proxies.

The $299/month Business plan covers all three products and provides a much higher 100-request concurrency limit. Basic HTTP requests use a 1× multiplier, which equals roughly $0.28 per 1,000 requests on the Developer plan. JavaScript rendering increases this to 5×, while premium proxy tiers increase it to 10×. Combining JavaScript rendering with premium proxies for protected targets applies a 25× multiplier, raising the effective cost to roughly $7.00 per 1,000 requests. The free trial lasts 14 days, with no credit card required.

Testing with Zim

ZenRows had a near-perfect success rate of 99% and an average response time of 10.0 s.

Testing with Glassdoor

For Glassdoor, it consistently returned valid page titles with a 100% success rate. The average response time was 8.8 s.

Testing with Idealista

ZenRow achieved a 98% success rate here, with an average response time of 10.5 s.

Testing with Indeed

It recorded a 99% success rate with an average response time of 7.1 s, the fastest response time among the providers tested for this target.

Test summary

ZenRows achieved the best overall success rate of 99% and the best average response time of 9.1 s. Across four protected targets, it consistently bypassed anti-bot protections while maintaining low response times, making it the strongest overall performer in the test.

Scrapfly

Scrapfly achieves notable results when executing extractions without the use of custom headers or proxy fine-tuning. Its free tier provides exactly 1,000 one-time API credits, while the paid tier starts at a relatively low $30 per month rate and includes about 200,000 base API credits, with a cap of five concurrent requests. A basic datacenter request consumes one credit. JavaScript rendering adds a flat 5-credit cost, while residential proxy usage applies a 25-credit base cost.

Testing with Zim

Scrapfly consistently returned valid product pages across repeated requests. It recorded a 97% success rate and averaged 11.9 s in response time.

Testing with Glassdoor

Here, it had a 98% success rate with an average response time of 8.7 s. Response times remained relatively stable throughout the benchmark.

Testing with Idealista

Scrapfly achieved a 99% success rate for Idealista with an average response time of 11.1 s. Only one request failed during testing.

Testing with Indeed

Scrapfly recorded a 100% success rate with an average response time of 11.9 s.

Test summary

Across all four protected targets, Scrapfly achieved an overall success rate of 98.5% with an average response time of 10.9 s. It delivered strong reliability across the benchmark, finishing just behind ZenRows in overall success rate.

Zyte

Zyte has high unblocking reliability against complex enterprise firewalls. It features a free plan tier for testing baseline connections and uses a tier-based billing model rather than credit multipliers. In its pay-as-you-go tier, rates start at $0.13 per 1,000 requests for plain HTTP responses and can reach roughly $16.08 per 1,000 requests for browser-rendered JavaScript requests. Since Zyte’s automated system dynamically detects and assigns pricing tiers, developers can face unpredictable cost spread. Pricing can be 123× higher on the hardest targets than on basic plain-HTTP requests for the easiest ones.

Testing with Zim

Zyte maintained a 99% success rate and an average response time of 15.5 s.

Testing with Glassdoor

It recorded a 99% success rate and the fastest average response time for Glassdoor at 6.9 s.

Testing with Idealista

Zyte achieved a 92% success rate for Idealista with an average response time of 14.6 s.

Testing with Indeed

Performance dropped significantly for Indeed, where Zyte recorded an 8% success rate and an average response time of 20.1 s.

Test summary

Across all four protected targets, Zyte recorded a 74.75% success rate and an average response time of 13.6 s. While it performed strongly on Zim, Glassdoor, and Idealista, the Indeed results significantly reduced its overall benchmark score.

ScraperAPI

ScraperAPI delivers reliable results when extracting text-heavy content from online directories and mainstream commercial targets. A good example is using it to run async bulk-request-handling workflows on Amazon and Google at a moderate scale. It is generous with its evaluation tier, which includes 5,000 initial free trial credits plus an additional 1,000 monthly credits. Paid plans start at $49 per month for the Hobby tier. For request multipliers, it applies a 1× multiplier to basic HTTP requests and a 5× multiplier to mainstream e-commerce endpoints. Premium proxies and JavaScript rendering each apply a 10× multiplier. Ultra-premium proxies apply a 30× multiplier, while combining ultra-premium proxies with JavaScript rendering raises the cost to a maximum of 75× credit multiplier.

Testing with Zim

ScraperAPI recorded an 88% success rate on Zim with an average response time of 45.9 s. While it was able to retrieve valid pages in most cases, response times were considerably higher on this target than those recorded by the other providers.

Testing with Glassdoor

Here, it recorded a 25% success rate and an average response time of 53.5 s. This was both the lowest success rate and the slowest response time for this target.

Testing with Idealista

ScraperAPI did not successfully validate any Idealista requests during testing and recorded an average response time of 10.7 s.

Testing with Indeed

It recorded an 83% success rate with an average response time of 33.7 s.

Test summary

ScraperAPI achieved an overall success rate of 49.00% and the slowest average response time in the benchmark at 36.0 s. While it remained effective on some targets, inconsistent success rates and higher response times reduced its overall benchmark performance.

Speed Comparison

Average response times alone can hide target-specific behavior. The table below shows how each provider performed across the four protected targets included in the benchmark.

While the benchmark focused on ZenRows, Scrapfly, Zyte, and ScraperAPI, several other providers were not tested directly. To provide broader market coverage, the following summaries draw from independent benchmark data and vendor documentation.

Other Providers We Did Not Test Directly

Each provider has specific areas within the web scraping ecosystem where they excel, with varying strengths, weaknesses, and pricing models. The summaries below are based on data from Proxyway's Web Scraping API Report, Scrape.do's benchmark panel, and Scrapeway's bi-weekly performance tracking.

Apify

Apify functions as an orchestration environment with 10,000+ pre-built containerized scraping workflows (referred to as actors) for specific websites. It provides pre-built scrapers for platforms like Instagram, Reddit, Google Maps, and TikTok. On Scrape.do's benchmark, the average response time was 14.2 s and the success rate was 97.14%, although performance can vary significantly depending on the specific Actor being used.

The free tier includes a $5 monthly credit allocation, while paid plans start at $29 per month. The Starter plan charges roughly $0.20 per compute unit, and some marketplace actors also include pay-per-result or pay-per-event pricing. Apify is best suited for teams that want ready-made scraping workflows and automation orchestration rather than simple URL-in, HTML-out extraction.

Bright Data

Bright Data consistently achieves high reliability rates when scraping heavily protected targets. Based on Scrape.do’s independent benchmark test, it maintained an overall 98.87% multi-domain success rate. This includes a 100% success rate for Indeed, Zillow, Capterra, and Google SERPs.

It offers a pay-as-you-go tier that starts at roughly $1.50 per 1,000 results and increases to around $2.50 per 1,000 results when targeting heavily protected domains. It also provides a per-product enterprise entry tier starting at $499 per month. Deploying its complete developer stack requires the Web Unlocker API, Scraping Browser, and Residential Proxy Network, bringing the combined starting cost to roughly $1,497 per month.

For teams that need enterprise-grade scraping infrastructure, pre-built scrapers, large residential proxy networks, and compliance certifications ( like SOC 2 Type II and ISO 27001), Bright Data is a strong choice.

Firecrawl and Crawl4AI

Firecrawl is a well-known commercial web ingestion software with over 123k GitHub stars. Through its /scrape, /crawl, and /agent endpoints, it focuses on turning websites into clean markdown or structured JSON that AI pipelines can ingest. It also integrates as a native MCP (Model Context Protocol) server that AI IDE (Integrated Development Environment) assistants like Cursor, Claude Code, and Windsurf can adopt.

However, it performs better at formatting and structured extraction than at advanced unblocking. This is evident in Proxyway’s benchmark, where Firecrawl finished last against enterprise firewalls. Its subscription model starts with a free tier of 500 lifetime credits, while the hobby plan starts at $16 per month (yielding roughly 3,000 scraping credits). It uses flat per-request credit billing rather than erratic multipliers, which allows developers to forecast API costs.

Crawl4AI is a top open-source alternative under the Apache 2.0 license with over 66k GitHub stars. It provides Dockerized web crawling setups without integrating with third parties. With playwright support, it handles complex client-side applications, flattens shadow DOM structures, and provides adaptive chunking and extraction strategies entirely on local or private cloud infrastructure.

Crawl4AI has no API subscriptions or hidden request multipliers. You just have to handle cloud hosting and LLM token consumption. Both tools are best suited for AI agent builders, RAG (Retrieval-Augmented Generation) pipeline engineers, and teams that need LLM-ready data extraction workflows.

Decodo (Smartproxy)

Decodo, formerly known as Smartproxy, delivers good unblocking reliability suitable for mid-market engineering teams. Proxyway documented an 87.09% success rate for the platform under concurrent anti-bot stress at 2 req/s. In addition to this unblocking durability, the provider reports a 99.86% network success rate.

Proxyway also noted a relatively flat pricing structure in Decodo. It has one of the most predictable cost-scaling models among multiplier-based providers. For the web scraping API plans, Decodo includes a free plan, with the entry-level paid plan starting at $19 per month. The standalone residential proxy pricing ranges from roughly $2 to $4 per GB, depending on the selected plan tier.

Decodo is a good fit for teams that want predictable pricing and strong unblocking performance without enterprise-level costs.

Oxylabs

Oxylabs provides stable unblocking capabilities at an enterprise level with a network infrastructure of over 175 million residential IPs across 195 countries. It is ISO 27001-certified and GDPR-compliant.

According to Proxyway’s benchmark, the provider achieved an 85.82% overall success rate against advanced enterprise firewalls. On Scrape.do’s testing panel, Oxylabs maintained a 95.40% success rate. However, its focus on browser emulation and complex routing creates a latency drag. Scrape.do clocked it at an 11.3 s response time.

Its web scraper API has an entry price of $49 per month at a rate of $0.50 per 1000 results. It also provides dedicated account management for enterprise deployments. Oxylabs is a good choice for organizations that need large-scale scraping infrastructure, compliance coverage, and managed enterprise support.

Scrape.do

Scrape.do possesses a raw processing velocity that places it among the fastest engines across multi-domain testing environments. In Scrape.do’s published benchmark panel, it achieved a 98.61% success rate with an average response time of 5.5 s.

It uses a pay-only-for-successful-requests model, with its free tier providing 1,000 requests per month. Paid plans start at $29 per month. For request multipliers, it applies a 1× multiplier for basic HTTP requests, a 5× multiplier for JavaScript rendering, and a 10× multiplier for premium proxy pools when handling advanced targets. A combination of JavaScript rendering and premium proxies applies a 25× credit multiplier.

Scrape.do works well for teams that prioritize response speed and predictable request-based pricing over specialized scraping features.

ScrapingBee

ScrapingBee focuses heavily on reducing setup friction for developers. It provides a well-documented starting point and enables JavaScript rendering by default.

It also delivers steady mid-tier unblocking durability on protected platforms. Proxyway’s report showed that ScrapingBee achieved an overall success rate of 84.47% when subjected to concurrent anti-bot stress. However, on Scrape.do’s panel, it hit a 96.62% success rate. To avoid the latency lags common to general-purpose scraping endpoints, ScrapingBee routes requests through optimized search-engine-specific extraction layers in its sub-second Google SERP API.

It offers 1,000 free API trial credits on sign-up. Paid plans start at $49 per month with 250,000 API credits. JavaScript rendering costs a flat five credits per request, while premium residential proxies cost 25 credits. ScrapingBee appeals to developers who want a simple setup process and dedicated SERP scraping capabilities without having to manage complex configurations.

How to Choose a Web Scraping API

In choosing the optimal web scraping infrastructure, you need to analyze your specific targets, structural pipeline requirements, and budget constraints. So far, we have provided information within this article to help with such analysis. But here is a four-step decision framework that your engineering teams should use to evaluate vendors.

Step 1: Classify your target site's protection level

You must audit the defensive infrastructure of the domains you intend to scrape. Web targets generally fall into three distinct security tiers: Unprotected and Static Domains, JavaScript-Rendered Applications, and Actively Fortified Enterprise Barriers. Their security level actually impacts costs.

The unprotected and static domains are usually standard public sites, small blogs, or open data repositories that do not monitor browser fingerprints or device telemetry. These sites require basic HTML retrieval and would cost you a standard 1x credit multiplier across all scraping APIs.

The JavaScript-rendered applications, such as dynamic applications built on React, Angular, or Vue, require full browser rendering to display data. Scraping these targets requires your API to spin up headless browser instances that can trigger a 5x credit multiplier.

The fortified enterprise barriers are high-value targets protected by anti-bot firewalls, including Cloudflare Turnstile, DataDome, and Kasada. To successfully bypass these systems, it requires browser emulators, stateful session routing, and stealth proxies from a premium pool. These endpoints can cause multiplier rates to jump to 10x or 25x.

Step 2: Choose your output format

The data consumers at the end of your extraction pipeline should dictate the output format for your API provider. So match your destination requirements directly to the vendor's capabilities. If your backend architecture uses custom parsing libraries such as BeautifulSoup or Cheerio, any standard unblocking API will fit your workflow.

If you are building RAG pipelines, semantic search layers, or LLM agents, processing raw HTML causes massive token inflation. It would be better to use scrapers such as ZenRows, Firecrawl, or Crawl4AI that automatically strip HTML boilerplate and return clean Markdown or structured JSON for AI workflows.

For data consumers that support structured JSON and want to avoid writing and maintaining custom CSS or XPath selectors, look for providers that feature managed schema parsing like Bright Data, Oxylabs, and ScrapingBee.

Step 3: Model your effective cost at your actual volume

When you rely on providers' advertised entry pricing, it rarely aligns with your actual budget.

Certain targets trigger feature multipliers, so you must model your monthly cost against the exact domain breakdown.

Consider a pipeline processing 100,000 successful requests per month across a mixed target profile: 50,000 static HTML pages and 50,000 heavily protected e-commerce pages. If you run this workflow on ScraperAPI's standard $49 Hobby tier baseline, your actual resource usage ends up being different.

Together, that's a total of 3,800,000 credits, whereas the $49 plan offers only a fraction of the required credits. To actually scrape the 100,000 requests, you would require their $299/month plan. But have in mind that all scrapers have feature multipliers or extra cost to access certain features, so it's best to compare those plans' multipliers with your budgeted targets and costs.

Step 4: Check compliance gates

If your data pipeline processes sensitive user data, operates within a regulated financial framework, or must clear a corporate security review, then your scraper choice might need to pass corporate procurement gates. Check for providers that carry institutional compliance verification, such as SOC 2 Type II or ISO 27001.

In reality, there is no single best scraping tool with all the features needed for all scraping needs. But you can find providers that are appropriate for specific workflow needs, so use this framework and all the details in this article to pick the right match.

Conclusion

Our test showed that ZenRows achieved a 99% success rate across protected targets and the fastest response times in the benchmark. The results demonstrated strong anti-bot reliability under repeated-request execution on the Developer plan. Combined with its pay-only-for-success billing model, it is a strong option for teams scraping commercial websites, job boards, and real estate platforms.

However, ZenRows is not the right choice if your team is targeting highly specialized social media environments or requires dedicated SERP tooling. Alternative services such as Bright Data, Oxylabs, or Zyte may be more appropriate for those workloads.

Ultimately, the right web scraping API depends on the targets you scrape, the volume you operate at, and the level of anti-bot resistance you encounter. While ZenRows delivered the best overall performance in our benchmark, every provider discussed in this article is optimized for a different set of operational priorities.

Frequent Questions

What is a web scraping API?

A web scraping API is a service that automates the extraction of raw web data by handling technical challenges such as IP rotation, proxy logic, browser fingerprinting, and CAPTCHA bypassing.

How do I use a web scraping API?

You use a web scraping API by sending an HTTP request directly to the provider’s server endpoint using a tool like cURL or programming languages like Python and Node.js. You will typically configure the request to include the private authentication key and the target destination URL as query parameters or request headers. In many providers, you can also use multi-language SDKs that let you execute stable data extraction tasks in a shorter code format. Many providers also offer integrations to make it easier to incorporate web data extraction into existing workflows. For example, ZenRows integrates with workflow automation platforms such as n8n, Make, and Zapier, AI frameworks like LangChain and LlamaIndex, and browser automation tools such as Playwright and Puppeteer.

Is web scraping legal?

Scraping publicly accessible data on the internet is generally legal in many regions. Established court precedents such as the hiQ Labs v. LinkedIn ruling show this. But you must still comply with local laws, copyright restrictions, platform terms of service, and avoid accessing data protected behind authentication barriers or private accounts.

What is the difference between a scraper and a parser?

A scraper is the infrastructure component responsible for navigating websites, bypassing anti-bots, and fetching the raw source data. A parser is the data processing component that reads fetched JSON or HTML to filter out noise and extract specific text strings you need.

What is the best web scraping API for beginners?

ScrapingBee is popularly recommended for beginners due to its extensive documentation and interactive live request builder. ZenRows is also great for beginners. Its point-and-shoot universal scraper API can be easily configured through its SDKs and has low maintenance.

Can I try web scraping APIs for free before paying?

Yes, almost all major scraping providers offer free first-use limits to test their infrastructure. ZenRows, for example, offers a 14-day free trial.

What should I consider when choosing a web scraping API?

Analyze the defensive strength of your target domains against automation, the intended monthly data volume to be scraped, and the delivery format, such as raw HTML, structured JSON, Markdown, or parsed API responses. Also, check if your engineering pipeline requires specific enterprise compliance gates, such as a SOC 2 Type II audit.

Does a web scraping API handle JavaScript rendering?

Yes, modern web scraping APIs use headless Chrome instances to execute client-side JavaScript, interact with many single-page apps, and process dynamic AJAX calls. For some, this feature is enabled by default; for others, you have to enable it. Accessing JavaScript rendering features does have an extra cost, though.

What is the best web scraping API for heavily protected targets?

Our live benchmark showed that ZenRows is a reliable choice for scraping protected targets, delivering the strongest overall performance across the sites tested. Proxyway's protected-target benchmark also showed strong results from providers such as Zyte, Bright Data, and Oxylabs against anti-bot systems.

Do web scraping APIs have rate limits?

Yes, web scraping APIs control system traffic by enforcing plan-level concurrency limits, which determine how many requests can run simultaneously. When you exceed those limits, providers typically respond with HTTP 429 (Too Many Requests) errors, queue additional requests, or throttle traffic until capacity becomes available. The specific limits vary by provider and subscription tier.