Web scraping at scale requires reliable proxies. After testing dozens of proxy services for various scraping projects throughout 2025-2026, I've compiled this honest comparison of the top providers — what works, what doesn't, and which service fits your specific use case.
Why You Need Proxies for Web Scraping
If you're scraping more than a few hundred pages, you'll get blocked. Period. Websites use IP fingerprinting, rate limiting, and behavioral analysis to detect scrapers. Proxies rotate your IP address so each request appears to come from a different user.
But not all proxy services are equal. Some excel at e-commerce scraping, others at search engines, and some are just overpriced middlemen. Here's my honest breakdown.
Quick Comparison Table
| Service | Starting Price | Proxy Types | Best For | Free Trial |
|---|---|---|---|---|
| ThorData | $0.60/GB | Residential, DC, ISP | Budget-conscious scrapers | Yes |
| ScraperAPI | $49/mo | Managed rotation | API-first developers | 5,000 free credits |
| Bright Data | $8.40/GB | All types | Enterprise teams | Trial available |
| Oxylabs | $8/GB | All types | Large-scale operations | Trial available |
| ScrapeOps | $49/mo | Managed proxy | Monitoring + scraping | 1,000 free credits |
1. ThorData — Best Value for Money
Pricing: Starting at $0.60/GB for residential proxies
ThorData has been my go-to for projects where cost matters. Their residential proxy pool covers 195+ countries, and the pricing is genuinely competitive — roughly 5-10x cheaper than Bright Data or Oxylabs for residential IPs.
What I liked:
- Aggressive pricing without sacrificing quality
- Solid residential pool with good geo-targeting
- Simple dashboard, no enterprise sales call needed
- ISP proxies available for sneaker/ticket sites
What could be better:
- Smaller proxy pool than Bright Data/Oxylabs
- Documentation could use more examples
- Support response times vary
Best for: Solo developers and small teams who need residential proxies without enterprise pricing.
Quick Start with ThorData
import requests
proxies = {
"http": "http://USER:PASS@proxy.thordata.com:9000",
"https": "http://USER:PASS@proxy.thordata.com:9000"
}
response = requests.get(
"https://httpbin.org/ip",
proxies=proxies,
timeout=30
)
print(response.json())
2. ScraperAPI — Best Managed Solution
Pricing: From $49/month (5,000 API credits free)
ScraperAPI takes a different approach — instead of giving you raw proxies, they handle everything: rotation, retries, headers, and even JavaScript rendering. You just send a URL and get back HTML.
What I liked:
- Dead simple API — one endpoint does everything
- Built-in JavaScript rendering (no need for Playwright)
- Automatic retry logic and smart rotation
- Structured data endpoints for Amazon, Google, etc.
What could be better:
- Gets expensive at scale (credit-based pricing)
- Less control over proxy selection
- Rate limits on lower-tier plans
Best for: Developers who want to focus on data extraction, not proxy management.
Quick Start with ScraperAPI
import requests
API_KEY = "YOUR_SCRAPERAPI_KEY"
# Basic request with auto-rotation
response = requests.get(
f"http://api.scraperapi.com?api_key={API_KEY}&url=https://example.com"
)
# With JavaScript rendering
response = requests.get(
f"http://api.scraperapi.com?api_key={API_KEY}&url=https://example.com&render=true"
)
print(response.text[:500])
3. Bright Data — Best for Enterprise Scale
Pricing: From $8.40/GB residential, $0.60/GB datacenter
Bright Data (formerly Luminati) is the 800-pound gorilla of the proxy industry. They have the largest proxy network (72M+ IPs), the most proxy types, and the most features. They also have the most complex pricing and onboarding.
What I liked:
- Massive IP pool — rarely get blocked twice from same subnet
- Every proxy type imaginable (residential, DC, ISP, mobile)
- Web Unlocker handles anti-bot automatically
- Scraping Browser for JS-heavy sites
What could be better:
- Pricing is premium — not ideal for small projects
- Dashboard is overwhelming for newcomers
- Sales-heavy onboarding process
- Minimum commitments on some plans
Best for: Enterprise teams with budget who need maximum reliability and scale.
Quick Start with Bright Data
import requests
proxies = {
"http": "http://USER:PASS@brd.superproxy.io:22225",
"https": "http://USER:PASS@brd.superproxy.io:22225"
}
response = requests.get(
"https://httpbin.org/ip",
proxies=proxies,
timeout=30
)
print(response.json())
4. Oxylabs — Best for Search Engine Scraping
Pricing: From $8/GB residential
Oxylabs is Bright Data's main competitor and they're neck-and-neck on features. Where Oxylabs edges ahead is their SERP scraping API — if you're scraping Google, Bing, or other search engines, their specialized endpoints handle it well.
What I liked:
- Excellent SERP API with structured JSON output
- 100M+ residential IP pool
- Good documentation and code examples
- Dedicated account manager on paid plans
What could be better:
- Similar premium pricing to Bright Data
- Minimum spend requirements
- Overkill for small-scale projects
Best for: SEO agencies and teams that need reliable SERP data.
Quick Start with Oxylabs
import requests
proxies = {
"http": "http://USER:PASS@pr.oxylabs.io:7777",
"https": "http://USER:PASS@pr.oxylabs.io:7777"
}
response = requests.get(
"https://httpbin.org/ip",
proxies=proxies,
timeout=30
)
print(response.json())
5. ScrapeOps — Best for Scraping Monitoring
Pricing: From $49/month (1,000 free credits)
ScrapeOps started as a monitoring tool for scrapers and expanded into proxy aggregation. Their unique value is combining proxy rotation with a dashboard that shows you success rates, response times, and costs across providers.
What I liked:
- Monitoring dashboard shows exactly what's working
- Proxy aggregator tests multiple providers behind the scenes
- Fake browser headers API (free tier available)
- Good for A/B testing proxy providers
What could be better:
- Smaller proxy pool than dedicated providers
- Aggregator adds a layer of abstraction
- Fewer advanced features than Bright Data/Oxylabs
Best for: Teams who want visibility into their scraping operations and want to compare providers.
Quick Start with ScrapeOps
import requests
API_KEY = "YOUR_SCRAPEOPS_KEY"
response = requests.get(
"https://proxy.scrapeops.io/v1/",
params={
"api_key": API_KEY,
"url": "https://example.com",
}
)
print(response.text[:500])
How to Choose the Right Proxy Service
Here's my decision tree after years of scraping:
Budget under $100/month? Start with ThorData. Best price-to-performance ratio, especially for residential proxies.
Want zero proxy management? Go with ScraperAPI. Send URL, get HTML. That's it.
Enterprise budget, maximum reliability? Choose Bright Data. Largest pool, most features, premium price.
Scraping search engines specifically? Pick Oxylabs. Their SERP API is purpose-built for it.
Want to monitor and compare? Use ScrapeOps. See what's actually working across providers.
Scaling Up: When You Need More Than Just Proxies
For large-scale scraping projects, consider using managed scraping platforms like Apify alongside your proxy service. Apify actors handle the full scraping pipeline — scheduling, proxy rotation, data extraction, and storage — so you can focus on what to scrape rather than how.
Combining a good proxy service with a managed platform gives you the best of both worlds: cost-effective proxies for custom scrapers and a ready-made infrastructure for common scraping tasks.
Final Thoughts
There's no single "best" proxy service — it depends on your scale, budget, and target sites. I've used all five of these services in production and they each have legitimate strengths.
Start with a free trial, test against your specific target sites, and measure success rates before committing to a paid plan. The proxy that works best for e-commerce scraping might fail on social media, and vice versa.
The scraping landscape changes fast. What matters is having reliable infrastructure and being willing to adapt when sites update their anti-bot measures.
What proxy service do you use for web scraping? Share your experience in the comments.
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