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{ Use Case }

Proxies for Data Scraping

A single IP hitting a site thousands of times a day gets blocked fast. Spreading requests across millions of residential IPs lets your scraper look like real, distributed traffic — at any volume you need.

Get Started How it scales
No cap
Concurrent requests
40M+
Residential IPs
1 Gbps
Throughput per proxy
~0.35s
Avg. response time

Built to scale with your pipeline

Whether you're scraping a few thousand pages or running millions of requests a day, the architecture scales the same way — more IPs, smarter rotation, no single point of failure.

Unlimited concurrent sessions across scripts and servers
Rotate per request to spread load across the IP pool
Geo-target specific regions to match localized content
import requests

proxy = "http://USER:PASS@ai.authilo.com:10000"

for url in url_list:
    res = requests.get(url, proxies={
        "http": proxy,
        "https": proxy
    })
    # New IP automatically on each request

Works with your favorite tools

Screaming Frog
ParseHub
NetPeak Spider
Scrapebox
Scrapy
Puppeteer
Selenium
BeautifulSoup
Octoparse
Apify
Playwright
+ Any HTTP client

Common questions

No hard request limit — Rotating Residential is billed by bandwidth, not request count. Static plans have no per-request cap either, just your bandwidth or subscription limits.

Rotate IPs per request for high-volume scraping, add realistic delays between requests, and use residential rather than datacenter IPs — this combination drastically reduces block rates.

Yes — pair our proxies with headless browser tools like Puppeteer, Playwright, or Selenium for full JavaScript rendering support.

No platform-imposed rate limit on our side — your effective throughput depends on your concurrent connections and the target site's own rate limiting.

Scrape at any scale

Get Started
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