Turn webpages into LLM-ready data at scale with a simple API call

Best Zenrows Alternative in 2025: Why ScraperAPI Outperforms

Utilize reliable, structured endpoints for effortless, scalable data extraction

No credit card required
scraperapi-vs-zenrows
ScraperAPI vs Zenrows

Trusted by 10,000+ web scraping and data teams who switched from solutions like Zenrows for greater flexibility, higher request limits, and cost-effective full-page scraping.

Quick Overview

About ScraperAPI

ScraperAPI is a powerful and efficient web scraping API designed to empower developers, data scientists, and businesses with reliable data extraction at scale. It achieves this through advanced and robust scraping solutions and established structured endpoints tailored for popular websites.

  • Built-in support for a wide range of programming languages and frameworks, including Python, JavaScript, Ruby, PHP, and NodeJS
  • Achieves 99.99% success rate even on JavaScript-intensive and heavily secured sites
  • Supports asynchronous scraping 
  • Offers DataPipeline, a no-code interface for automating data collection workflows
  • Offers more dedicated endpoints for scraping popular websites
  • Pricing based solely on successful requests avoids unnecessary costs and hidden charges
  • Provides JS rendering, CAPTCHA handling, and worldwide geotargeting
  • Around-the-clock technical support delivers expert help with response times under one hour

About Zenrows

Zenrows is a web scraping service that provides a broad toolkit for scraping protected sites. It offers a primary Web Scraping API focused on robust anti-bot bypass, alongside specialized beta-stage ‘Scraper APIs’ for structured data extraction. 

 

  • Effective at bypassing anti-bot websites.
  • Provides built-in capabilities for rendering JavaScript-heavy pages and using headless browsers
  • While Zenrows offers APIs for structured data, they are currently in the beta stage and have limitations, like only scraping one URL at a time.
  • Zenrows currently lacks a full-fledged no-code automation platform like ScraperAPI’s DataPipeline.
  • Zenrows states they support integration with multiple programming languages, including Java, PHP, Go, Ruby, C#, and others. But, in their documentation, they only provide resources for interacting with their API using Python and Node.js SDKs.
  • Technical support is available only during business hours.

Why Choose ScraperAPI Over Zenrows

If you need a developer-friendly, cost-efficient, and scalable web-scraping solution, ScraperAPI delivers over ZenRows. While ZenRows simplifies anti-bot bypass and offers built-in parsing, it comes with rigid, bundled pricing for proxies and rendering that can inflate costs as your usage grows.

In contrast, ScraperAPI separates HTTP requests from JavaScript rendering and proxy usage, so you pay only for what you use, keeping your bills predictable; hence, it is cost-efficient in the long run.

ScraperAPI also supports a broader and more mature ecosystem of official SDKs in Go, Java, PHP, Ruby, Python, and Node.js, plus CLI collection through cURL for rapid prototyping. This particular set of features is still under development in Zenrows.

ScraperAPI’s DataPipeline low-code scheduler allows non-developers to orchestrate complex scraping workflows without building custom cron jobs. This way, even if you are not a developer, you can still set up schedules and manage scraping tasks from a simple dashboard.

For complex scraping scenarios like login flows and multi-page navigation, ScraperAPI’s persistent sessions (sticky IPs) last up to 15 minutes, allowing for multi-step crawls. All requests using the same session number are routed through the same IP address; even during this window, numerous calls exist. This allows you to log in once and easily navigate subsequent authenticated pages.

While ZenRows does offer a session_id parameter, it only guarantees stickiness for 10 minutes and is limited to their paid “Session” add-on tier. ScraperAPI’s built-in stickiness is free, lasts longer (15 minutes), and applies across all plans.

So, how do our prices and features compare to Zenrows?

Pricing Overview

Features

API Credits





Javascript Rendering

Browser Automation

Native No-code Scraping Option

Scheduling Features

Webhook Callbacks

IP Rotation

Built-in Geotargeting

CAPTCHA Handling

Concurrency thread limit

Support

Price

ScraperAPI’s Business Plan

3,000,000









✅ Built-in job scheduler (DataPipeline)

Real-time job callbacks on completion/failure

100 concurrent threads

24/7 email & chat

$299 (Monthly)

Zenrows Business Plan

No credits; usage is based on  Cost Per Mille, which is the cost per 1,000 successful requests, starting at $0.28 per 1000 standard requests (without JS rendering).

✅ but at 5x the basic cost per mille fee ($ 1.40).

No, requires integration with Glide and Clay





100 concurrent threads

Email/chat during business hours only

$299 (Monthly)

Automate Multi-Step Workflows with Persistent Sessions

ScraperAPI’s sticky-session feature binds a series of requests to the same IP and cookie jar for up to 15 minutes, enabling easy multi-page interactions without re-authentication or session loss. ZenRows, by contrast, rotates IPs on every single call by default. But it also offers a “Session ID” parameter lasting 10 minutes. While the 5-minute difference might seem small, it could be crucial for longer multi-step flows.

Built-In Job Scheduler & Low-Code Workflows

ScraperAPI’s DataPipeline provides a scheduler and workflow builder, complete with templates for common targets, so you can orchestrate daily or hourly scrapes without writing cron jobs or external scripts. ZenRows offers no native scheduling; you must rely on external task runners like cron or Airflow.

Webhook Callbacks for Event-Driven Integrations

With ScraperAPI, you can register a webhook URL to receive instant POST callbacks after scrape completion or failure, accelerating downstream processing in serverless architectures. ZenRows lacks any push-notification mechanism, continuously leaving you to poll status endpoints.

Broad and Reliable SDK Support

In their documentation, ScraperAPI publishes official SDKs in Go, PHP, Ruby, Java, Python, and Node.js, which enables you to integrate any stack regardless of your default programming language, within minutes.
On the other hand, Zenrows only provides documentation for Python and Node.js SDKs, limiting support and slowing down onboarding in different programming languages.

24/7 Dedicated Support

ScraperAPI guarantees 99.99% uptime, offers 24/7 email/chat, and assigns dedicated account managers for enterprise clients (5 million credits and above). ZenRows provides business-hours support only, with community forums for outside hours and no formal uptime SLA.

No credit card required

ScraperAPI vs Zenrows: What's Different

Let’s take a closer look at the key features of both ScraperAPI and ZenRows, compare them side-by-side, and explain what each feature means when it comes to web scraping:

FeatureScraperAPIZenrowsKey Difference
Sticky SessionsBinds up to 15 minutes of requests to the same IP/cookie jar, enabling multi-step crawls for logins and paginated flowsBinds up to 10 minScraperAPI preserves session state across requests longer than Zenrows.
Webhook CallbacksSupports real-time POST callbacks on completion/failure for asynchronous scrapes, eliminating pollingNo push mechanism, you have to poll status endpoints manuallyScraperAPI can automatically push results to your endpoint, while you’d have to poll the results manually with Zenrows. 
Built-in SchedulingLow-code DataPipeline scheduler for recurring scraping jobsNo native scheduler, requires an external cron or orchestration tool ScraperAPI offers out-of-the-box job orchestration while Zenrows leaves scheduling to you.
SDK & Tooling BreadthOfficial SDKs are in Go, PHP, Ruby, Java, Python, and Node.js. Official SDKs only for Python and Node.jsScraperAPI supports more languages and rapid prototyping tools; Zenrows claims to offer the same, but only provides SDKs for two languages: Python and Node.js.
DataPipeline IntegrationsBuilt-in support for structured data scraping on platforms like Amazon, eBay, and Google with our  Structured Data Endpoints. For specific popular sites, Zenrows does handle the parsing and returns structured data, but you are still responsible for orchestrating workflows.For scraping major platforms, ScraperAPI’s DataPipeline offers a smoother, faster start by letting you integrate directly with structured data endpoints—no need to build your parsing logic. In contrast, ZenRows requires you to handle parsing using its generic API. While it does offer dedicated endpoints for some sites, it lacks built-in workflow automation.

Need a No-Code Alternative? Try ScraperAPI’s DataPipeline

DataPipeline is ScraperAPI’s no-code visual interface for data extraction, offering a better alternative to Zenrows regarding workflow automation. It comes with the scalability and ease of automation that ScraperAPI natively provides. With DataPipeline, you can avoid writing complex code, stop maintaining intricate scripting for orchestration, and save on engineering overhead costs. Here’s more of what DataPipeline offers:

  • Webhooks & API integration to automate data delivery directly into your systems.
  • Scheduling features to run extractions at set intervals, automatically.
  • Integration with ScraperAPI’s structured data endpoints.
  • The full power of ScraperAPI, including automated proxy rotation, CAPTCHA solving, and JavaScript rendering.

DataPipeline automates data delivery through webhooks and APIs, scales to handle massive projects, and simplifies scraping through its low-code interface, offering a more integrated solution for your scraping needs.

Enterprise Features Without the Price Tag

Dedicated Account Manager

Your account manager will be there any time your team needs a helping hand.

Professional support

Premium Support

Enterprise customers* get dedicated Slack channels for direct communication with engineers and support.

geolocation

100% Compliant

All data collected and provided to customers are ethically obtained and compliant with all applicable laws.

IP locatations

Global Data Coverage

Your account manager will be there any time your team needs a helping hand.

Integration tutorials

Powerful Scraping Tools

All our tools are designed to simplify the scraping process and collect mass-scale data without getting blocked.

Designed for Scale

Scale your data pipelines while keeping a near-perfect success rate.

Simple, Powerful, Reliable Data Collection That Just Works

Web data collection doesn’t have to be complicated. With ScraperAPI, you can access the data you need without worrying about proxies, browsers, or CAPTCHA handling.

Our powerful scraping infrastructure handles the hard parts for you, delivering reliable results with success rates of nearly 99.99%.

Extract Clean, Structured Data from Any Website in Seconds

No more struggling with messy HTML and complex parsing. ScraperAPI transforms any website into clean, structured data formats you can immediately use.

 

Our structured data endpoints automatically convert popular sites like Amazon, Google, Walmart, and eBay into ready-to-use JSON or CSV, with no parsing required on your end.

 

Instead of spending hours writing custom parsers that break whenever websites change, get consistent, reliable data with a single API call.

Auto Parsing​

Test it yourself

Python
import requests

payload = {
    'api_key': 'YOUR_API_KEY',
    'url': 'https://www.amazon.com/SAMSUNG-Unlocked-Smartphone-High-Res-Manufacturer/dp/B0DCLCPN9T/?th=1',
    'country': 'us',
    'output_format': 'text'
}


response = requests.get('https://api.scraperapi.com/', params=payload)
product_data = response.text

with open('product.text', 'w') as f:
    f.write(product_data)
    f.close()

Feed Your LLMs with Perfect Web Data, Zero Cleaning Required

Training AI models requires massive amounts of high-quality data. The problem is that web content is often too messy and unstructured for models to make sense of it.

 

ScraperAPI solves this with our output_format parameter. It automatically converts web pages into clean Text or Markdown formats, which is perfectly suited for LLM training.

 

Simply add "output_format=text" or "output_format=markdown" to your request, and we’ll strip away irrelevant elements while preserving the meaningful content your models need.

Collect Data at Scale Without Writing a Single Line of Code

Set up large-scale scraping jobs with our intuitive visual interface. All you have to do is:

 

  • Upload your target URLs
  • Choose your settings
  • Schedule when you want your data collected

DataPipeline handles everything from there: proxy rotation, CAPTCHA solving, retries, and delivering your data where you need it via webhooks or downloadable files.

 

Scale up to 10,000 URLs per project while our infrastructure manages the technical complexity, or use its dedicated endpoints to add even more control to your existing projects.

Data Pipeline
ScraperAPI geotargeting

See Websites Exactly as Local Users Do with Global Geotargetting

Many websites show different content based on where and how you’re accessing them, which limits your ability to collect comprehensive, quality data.

 

With ScraperAPI’s geotargeting capabilities, you can access websites from over 150 countries through our network of 150M+ proxies and see exactly what local users see.

 

Simply add a country_code parameter to your request, and ScraperAPI will automatically route your request through the appropriate location with no complex proxy setup required.

 

Uncover region-specific pricing, product availability, search results, and local content that would otherwise be invisible to your standard scraping setup.

All the Data You Need. One Place to Find It

Automate your entire scraping project with us, or select a solution that fits your business goals.

Integrate our proxy pool with your in-house scrapers or our Scraping API to unlock any website.

Easily scrape data, automate rendering, bypass obstacles, and parse product search results quickly and efficiently.

Put ecommerce data collection on autopilot without writing a single line of code.

What Our Customers
Are Saying

One of the most frustrating parts of automated web scraping is constantly dealing with IP blocks and CAPTCHAs. ScraperAPI gets this task off of your shoulders.

based on 50+ reviews

BigCommerce

Simple Pricing. No Surprises.

Start collecting data with our 7-day trial and 5,000 API credits. No credit card required.

Upgrade to enable more features and increase scraping volume.

Hobby

Ideal for small projects or personal use.

Hobby

$49

/ month

$44

/ month, billed annually

Startup

Great for small teams and advanced users.

Startup

$149

/ month

$134

/ month, billed annually

Business

Perfect for small-medium businesses.

Business

$299

/ month

$269

/ month, billed annually

Scaling

Most popular

Perfect for teams looking to scale their operations.

Business

$475

/ month

$427

/ month, billed annually

Enterprise

Need more than 5,000,000 API Credits with all premium features, premium support and an account manager?

Frequently Asked Questions

No. ZenRows does not support asynchronous workflows or webhook callbacks; every scrape must be executed and completed within the same HTTP request, and you have to poll its API endpoint continuously to check for results, adding latency and complexity to your integration.

Zenrows provides pre-built endpoints that allow you to extract data from specific sites without writing custom code. However, much of Zenrows’ dedicated scraper functionality is still in beta stage (under development) and might have limitations regarding the number of supported platforms, stability, and advanced features.

ScraperAPI’s granular, usage-based pricing, combined with volume discounts, separate rendering fees, and inclusive proxy costs, makes it significantly more cost-efficient as scraping volumes grow. In contrast, ZenRows’s CPM multiplier model (with 5× for JS, 10× for proxies, and 25× for both) leads to exponentially higher costs at scale.

ScraperAPI provides a straightforward way to schedule scraping jobs and automatically download data into your storage location through its built-in DataPipeline low-code scheduler. You can use the DataPipeline API to define and automate login, scrape, transform, and store tasks all in one JSON payload, fully managed by ScraperAPI’s cloud.  ZenRows, however, requires you to orchestrate recurring jobs by building custom logic, which increases development overhead.

5 Billion Requests Handled per Month

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