Scale your data collection without triggering rate limits or IP bans.
Data is the new oil, but websites are heavily guarding their wells. If you try to scrape thousands of pages from Amazon, Google, or Zillow using your local machine, your IP will be permanently blacklisted within minutes.
Most web servers have strict rate limits (e.g., 50 requests per minute per IP). To scrape at scale, you must distribute your requests across thousands of different IPs. A rotating residential proxy pool automatically assigns a fresh IP to every single request your scraper makes, rendering your bot practically invisible.
Here is a simple blueprint for routing your Python scraping script through the TrustProxy residential network.
import requests
# TrustProxy Connection
proxy_string = "http://username:[email protected]:8000"
proxies = { "http": proxy_string, "https": proxy_string }
url = "https://example-target-website.com/data"
response = requests.get(url, proxies=proxies)
print(response.text)
Even with proxies, aggressive scraping can trigger CAPTCHAs. To maximize your success rate, combine rotating residential IPs with randomized User-Agent strings and headless browsers like Puppeteer or Playwright.
Get access to a massive pool of ethically sourced residential IPs. Pay only for the bandwidth you use, with zero limits on concurrent connections.
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