ZenRows vs Bright Data – Top Differences
| ZenRows | Bright Data | |
|---|---|---|
|
Success Rate
|
Very High | Moderate to low |
|
Customer Support
|
24/7 chat with developers and dedicated support. | No live chat, just a basic email support. |
|
Price per 1k Requests
|
$0.28 | $1.5 |
|
Structured Data
|
Popular industry websites. | Popular websites and data sets. |
“We power it all with ZenRows. It’s the most cost-effective and reliable data enrichment tool on the market.”
1. ZenRows
⭐⭐⭐⭐⭐ 5.0
ZenRows stands out with industry-leading success rates backed by responsive customer support and comprehensive documentation. From small startups to big enterprises, ZenRows has become the definitive solution for reliable web extraction at any scale.
It automatically optimizes request headers, rotates premium proxies, effortlessly bypasses CAPTCHAs and sophisticated anti-bot systems, and more. With ZenRows, you'll never get blocked when web scraping again.
Getting started with ZenRows is extremely easy. Let's see how it works against the Anti-Bot Challenge page, a web page protected by an anti-bot.
Start by signing up for a new account, and you'll get to the Request Builder page.
There, paste your target URL, and activate premium proxies and JS rendering.
Select your programming language (Python, in this case) and choose the API connection mode. Then, copy and paste the generated code into your scraper file.
Here's what the generated Python code looks like:
# pip install requests
import requests
url = "https://www.scrapingcourse.com/antibot-challenge"
apikey = "<YOUR_ZENROWS_API_KEY>"
params = {
"url": url,
"apikey": apikey,
"js_render": "true",
"premium_proxy": "true",
}
response = requests.get("https://api.zenrows.com/v1/", params=params)
print(response.text)
The above code outputs the protected site's full-page HTML, showing that it bypassed the anti-bot measure:
<html lang="en">
<head>
<!-- ... -->
<title>Antibot Challenge - ScrapingCourse.com</title>
<!-- ... -->
</head>
<body>
<!-- ... -->
<h2>
You bypassed the Antibot challenge! :D
</h2>
<!-- other content omitted for brevity -->
</body>
</html>
Congratulations 🎉! You bypassed anti-bot protection using ZenRows.
2. ScrapingBee
⭐⭐⭐⭐ 4.9
While Bright Data focuses on enterprise-level scraping, ScrapingBee offers a more accessible approach for various project sizes. ScrapingBee provides better documentation customer support compared to Bright Data. Their pricing is more transparent, but they lack important capabilities such as auto-parsing and standalone proxy access.
Pros:
✅ Good documentation
✅ Easy to integrate
✅ Javascript rendering
Cons:
❌ Limited concurrent requests
❌ No auto-parsing capabilities for most popular websites
3. Oxylabs
⭐⭐⭐⭐ 4.5
Oxylabs competes directly with Bright Data in the enterprise proxy and web scraping market. They offer a large proxy network and advanced scraping features but share similar drawbacks, such as high costs and complex implementation. Their customer support, while better than Bright Data's, still faces challenges with technical issue resolution.
Pros:
✅ Comprehensive proxy network
✅ ML-driven Scraper APIs
✅ Readily available datasets
Cons:
❌ More expensive
❌ Slower customer support
4. ScraperAPI
⭐⭐⭐⭐ 4.3
ScraperAPI focuses on simplicity and ease of use. Their service focuses on essential scraping features with straightforward implementation. While their pricing is more accessible, starting at $49/month, they lack the advanced capabilities needed for more challenging scraping tasks.
Pros:
✅ Automatic proxy rotation
✅ Competitive pricing
✅ Good geo-targeting options
Cons:
❌ Limited advanced features
❌ Less sophisticated proxy selection