Web Scraping Proxies
Proxy Types for Scraping
Best Web Scraping Proxy Providers
A scraping-specific comparison table focused on success rate, response speed, anti-ban tooling, pricing model, API support, and editorial rating.
| Provider | Proxy Type | Success Rate | Speed | Anti-Ban Features | Pricing Model | API | Rating | CTA |
|---|---|---|---|---|---|---|---|---|
Bright Data |
Residential | 95.9% | 110ms | Advanced rotation, sticky sessions, browser API | $15/GB | Yes | 9.4/10 | Try Bright Data |
Oxylabs |
Provider | 92.8% | 123ms | Rotation, sticky sessions, geo targeting | $8/GB | Yes | 9.1/10 | Try Oxylabs |
Smartproxy |
Provider | 88.7% | 137ms | Rotation, sticky sessions, geo targeting | $7/GB | Yes | 8.7/10 | Try Smartproxy |
SOAX |
Provider | 85.7% | 151ms | Basic rotation and retry controls | $6.60/GB | Yes | 8.4/10 | Try SOAX |
Nimble |
Provider | 82.6% | 164ms | Basic rotation and retry controls | $8/GB | Limited | 8.1/10 | Try Nimble |
// Provider fields power this benchmark view. See the methodology page for how scoring works.
Scraping-Focused Provider Reviews
Short review blocks focused on scraping success rate, speed, rotation controls, and target fit.
Proxy Types for Scraping
Match proxy type to target difficulty before buying traffic. The cheapest option is the one that returns usable pages consistently.
Residential
Best for Amazon, Google, Cloudflare/DataDome targets, and workflows where IP reputation matters more than raw speed.
Low-risk targetsDatacenter
Cheapest and fastest for public pages with light defenses, internal QA, or bulk collection where occasional blocks are acceptable.
App and social targetsMobile
Expensive, but useful when app traffic, mobile ASN reputation, or aggressive social-platform checks are part of the job.
Sticky sessionsISP / Static Residential
Good when logged-in or session-locked workflows need a stable IP without looking like a cloud datacenter.
Scraping Tips & Anti-Detection
Proxy choice matters, but request behavior decides whether the target keeps responding. Use these controls before scaling a scraping job.
Code Examples
Start with small, observable tests. Log status code, latency, proxy country, and retry reason before adding more threads.
Python requests
import requests
proxies = {"https": "http://USER:PASS@gateway.example:8000"}
response = requests.get("https://example.com", proxies=proxies, timeout=30)
print(response.status_code, response.elapsed.total_seconds())
Scrapy setting
DOWNLOADER_MIDDLEWARES = {
"scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware": 110,
}
HTTP_PROXY = "http://USER:PASS@gateway.example:8000"
Selenium next step
For browser-based targets, use the Selenium setup guide and keep one proxy session tied to one browser profile.
Web Scraping FAQ
Public data scraping is generally legal in many contexts, but respect site terms, do not scrape private data behind login without permission, and consult counsel for high-risk workflows.
The proxy is only one fingerprint. Headers, TLS fingerprint, timing, cookies, and browser behavior can still reveal automation.
Residential is usually safer for Amazon and other defended ecommerce targets. Datacenter can work for less protected sites and is much cheaper.
For very low request volumes you may not. Once requests become frequent or distributed across targets, proxies help avoid rate limits and local IP bans.