Web scraping is a powerful technique for extracting data from websites at scale. However, without proper precautions, you risk getting blocked or banned. In this comprehensive guide, we'll cover the best practices for web scraping with proxies to ensure successful and ethical data collection.
Rotate IPs to prevent detection and blocking
Scrape content from different regions
Make thousands of requests without limits
Hide your real IP address
Distribute requests across multiple IPs
Higher completion rates for scraping jobs
Never use the same IP for consecutive requests. Implement automatic proxy rotation to distribute your requests across multiple IP addresses. This mimics natural browsing behavior and reduces the chance of detection.
For sensitive scraping tasks, residential proxies are your best choice. They use real residential IP addresses, making your requests appear as legitimate user traffic. This significantly reduces the risk of being blocked.
Don't hammer websites with requests. Add delays between requests (1-5 seconds) and randomize them to appear more human-like. Respect the website's robots.txt file and terms of service.
Implement proper error handling for failed requests. Use exponential backoff for retries and switch to a different proxy when encountering blocks. Log all errors for analysis and optimization.
Along with IP rotation, rotate your user agent strings. Use a variety of realistic browser user agents to make your requests look like they're coming from different devices and browsers.
import requests
import random
import time
# Your SP5 Proxies credentials
proxies_list = [
"http://user:pass@proxy1.sp5proxies.com:8080",
"http://user:pass@proxy2.sp5proxies.com:8080",
"http://user:pass@proxy3.sp5proxies.com:8080",
]
user_agents = [
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
"Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36",
"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36",
]
def scrape_with_proxy(url):
proxy = random.choice(proxies_list)
headers = {"User-Agent": random.choice(user_agents)}
try:
response = requests.get(
url,
proxies={"http": proxy, "https": proxy},
headers=headers,
timeout=30
)
return response.text
except Exception as e:
print(f"Error: {e}")
return None
# Example usage
urls = ["https://example.com/page1", "https://example.com/page2"]
for url in urls:
data = scrape_with_proxy(url)
time.sleep(random.uniform(1, 3)) # Random delayGet access to our premium proxy network with residential and datacenter IPs from 195+ countries. Perfect for web scraping, data collection, and market research.