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Proxies for web scraping

Last updated

Short answer

The best proxies for web scraping depend on the target. Use datacenter proxies for sites without bot protection, rotating residential proxies for protected sites, and ISP or sticky residential sessions when a flow needs the same IP across several requests. Rotate IPs, limit concurrency per site and retry with backoff to avoid blocks.

Which proxy type should you use for scraping?

Target siteRecommended proxySession mode
Public data, no bot protectionDatacenterFastest and cheapest per GB
E-commerce, travel, search enginesRotating residentialNew IP per request
Multi-step flows (search, then paginate)Rotating residentialSticky, 5–30 minutes
Logged-in sessionsISPSame IP for the whole job
Mobile-only or very strict sitesMobileRotating or sticky

How to avoid blocks when scraping

  1. Rotate IPs. With a residential pool, every request can exit from a different IP.
  2. Keep sessions consistent. If a site sets cookies on one page and checks them on the next, send both requests through the same sticky session.
  3. Limit concurrency per site. Hundreds of parallel requests to one domain look like an attack, whatever the IP.
  4. Send realistic headers. A current browser User-Agent, Accept-Language and normal header order.
  5. Retry with backoff. Treat 403, 429 and timeouts as signals to slow down and switch IP.
  6. Target the right country. Prices and content often change by region, so pick IPs in the market you are measuring.

Python example: rotating proxies with retries

import random
import time

import requests

PROXY = "http://USERNAME:PASSWORD@HOST:PORT"  # values from your dashboard
proxies = {"http": PROXY, "https": PROXY}
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 "
    "(KHTML, like Gecko) Chrome/128.0 Safari/537.36",
    "Accept-Language": "en-US,en;q=0.9",
}


def fetch(url: str, attempts: int = 4) -> str:
    for attempt in range(attempts):
        try:
            response = requests.get(url, proxies=proxies, headers=headers, timeout=30)
            if response.status_code == 200:
                return response.text
        except requests.RequestException:
            pass
        # exponential backoff with jitter; the next request gets a new IP
        time.sleep(2**attempt + random.random())
    raise RuntimeError(f"Failed after {attempts} attempts: {url}")


print(fetch("https://api.ipify.org"))

Scraping responsibly

  • Collect only public data you have a lawful basis to use.
  • Respect robots.txt and rate limits, and identify your scraper where appropriate.
  • Do not use proxies to log in to accounts you do not own or to bypass paywalls.

FuseProxy's acceptable use policy lists what is not allowed on the network.

FAQ

Questions, answered

What type of proxy is best for web scraping?
Rotating residential proxies work on the widest range of sites because each request comes from a different household IP. For sites without bot protection, datacenter proxies are faster and cheaper. For logged-in or multi-step flows, use ISP proxies or sticky residential sessions.
How many proxies do I need for scraping?
With a rotating residential pool you connect to one gateway and get a new IP per request, so you do not manage individual IPs. With dedicated IPs, a common starting point is enough IPs that each one makes only a few requests per minute to any single site.
Is web scraping with proxies legal?
Scraping publicly available data is legal in many jurisdictions, but it depends on what you collect and how. Respect the site's terms and robots.txt, do not collect personal data without a lawful basis, and never bypass logins or paywalls you are not entitled to.
Why do my scraping requests still get blocked through proxies?
Blocks usually come from request patterns rather than the IP alone. Send realistic headers, keep concurrency per site low, add random delays, retry with backoff, and use sticky sessions for flows that expect the same visitor across requests.

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