Integrating proxies with Python requests
Integrate proxy servers with Python, allowing you to make requests through code. Improve anonymity and control over connections
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21 August 2023
Python and proxy servers
The Python Requests library is widely known as a convenient and widely used tool for handling HTTP/1.1 requests. With millions of downloads every month, it has become a popular choice among developers. The library simplifies the management of HTTP requests and responses, eliminating the need to manually enter query strings into the URL.
Integrating proxies with scraping or web query libraries is very important. By using proxies, you can prevent unwanted blocking of the IP addresses of target websites and reduce the risks associated with revealing your own IP address.
Setting up Requests is very simple. Below are instructions on how to integrate the proxy into your code.
import requests \# URL to scrape url = 'https://www.example.com' # Replace with the desired website URL \# Proxy configuration with login and password proxy\_host = 'de-1.stableproxy.com' proxy\_port = 11001 proxy\_login = '2TYt4bmrOn\_0' proxy\_password = '2oRTH88IShd4' proxy = f'http://:@:' proxies = { 'http': proxy, 'https': proxy } \# Send a GET request using the proxy response = requests.get(url, proxies=proxies) \# Check if the request was successful if response.status\_code == 200: # Process the response content print(response.text) else: print('Request failed with status code:', response.status\_code)
NOTE: Please also replace with your real proxy credentials so that the code will work with your own proxy login and password.
That's all! Including proxies in scraping or query libraries is very important. By setting up proxies in Python requests, you can confidently start your web scraping projects without worrying about IP blocks or geo-restrictions.