Real-Time Price Scraping Without Getting Blocked: How We Hit 99.7% Uptime
In 2025, if you want to scrape the web, you have to know thousand tricks. Ban evasion. Proxy rotation. User Agent spoofing. Connection pooling. And then there's the web itself, which changes every time you flinch wrong.
At Avluz.com, we scrape 2.4 million web pages a day across Amazon, eBay, and Walmart. Our current success rate? 99.7% uptime. It took three months of testing, iterating, and failing to get here.
If you're building a large-scale price comparison or e-commerce crawlings system, it's lik. Read on, because I'm going to save you from some of the MTswe'll learn the hard way.
The Drasaurus Problem: Standard Scraping Will Get You Ban. Fast will too.
**First, let's bukld sha wrong way - - it's tha tiing to learn from:
python
import requests
from beautifulsoup import BeautifulSoup
urls = [] # Your list of thousands of urls
bounced = 0
successful = 0
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