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How to Use a Proxies in Python Requests?

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Pandada Article published on 4 month ago
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In this article, we will explore how to use the Python Requests library behind a proxy server. Developers use proxies to achieve anonymity, security, and sometimes even employ multiple proxies to prevent websites from blocking their IP addresses. Proxies also offer other benefits such as bypassing filters and censorship.

Prerequisites and Installation

This article is intended for those who want to delve into using proxies in Python. To make the most of the material, it's helpful to have:

✅ Experience with Python 3.

✅ Python 3 installed on your local machine.

Step 1: Install the Requests Library

First, ensure that the Requests library is installed in your Python environment. If it is not already installed, you can install it using pip:

pip install requests

For further reading: Crawling Web Articles via HTTP Proxy in Python

Step 2: Set Up the Proxy Server

Using a proxy in Requests is straightforward. You just need to create a dictionary containing the protocol and address of the proxy server you want to use. For example:

proxies = {
    "http": "http://10.10.1.10:3128",
    "https": "https://10.10.1.10:1080",
}

Here, the `http` key corresponds to the proxy server address for HTTP requests, and the `https` key corresponds to the proxy server address for HTTPS requests. Note that you need to replace the proxy server's IP address and port number with your actual settings.

Step 3: Send a Request

Once the proxy is set up, you can pass it as a parameter when sending a request with Requests. Here is an example of sending a GET request using a proxy:

import requests

url = 'http://example.com'
proxies = {
    "http": "http://10.10.1.10:3128",
    "https": "https://10.10.1.10:1080",
}

response = requests.get(url, proxies=proxies)
print(response.text)

Step 4: Handle Exceptions

When using proxies, you may encounter network connection issues or problems with the proxy server. To make your application more robust, you should catch and handle possible exceptions:

import requests
from requests.exceptions import RequestException

url = 'http://example.com'
proxies = {
    "http": "http://10.10.1.10:3128",
    "https": "https://10.10.1.10:1080",
}

try:
    response = requests.get(url, proxies=proxies)
    print(response.text)
except RequestException as e:
    print(f"Request failed: {e}")

Step 5: Use an Authenticated Proxy Server

If your proxy server requires authentication, you can include the username and password in the proxy address. For example:

proxies = {
    "http": "http://user:[email protected]:3128",
    "https": "https://user:[email protected]:1080",
}

Make sure to replace `user` and `password` with your proxy authentication details.

By following these steps, you can use the Requests library in Python to send requests through a proxy. This is very useful for web scraping, testing, and many other scenarios.

Building on this tutorial, we will further explore how to manage multiple proxy servers using Python's Requests library and implement a simple proxy pool. This is particularly useful for situations where frequent IP address changes are needed to avoid being blocked by the target website.

Create a Proxy Pool

The basic idea of a proxy pool is to maintain a list of proxies and randomly select one to distribute the source of the requests. Here’s how to implement a basic proxy pool:

Store the Proxy List: You can store the proxies in a list or use a more advanced storage system like a database or caching system.

Select a Proxy: Randomly choose a proxy from the list to make a request.

Validate Proxy Effectiveness: Regularly check the validity of the proxies and remove those that are invalid or slow to respond.


import requests
import random

# Proxy list
proxies_list = [
    {"http": "http://10.10.1.10:3128", "https": "https://10.10.1.10:1080"},
    {"http": "http://10.10.2.10:3128", "https": "https://10.10.2.10:1080"},
    {"http": "http://10.10.3.10:3128", "https": "https://10.10.3.10:1080"}
]

def get_random_proxy():
    return random.choice(proxies_list)

# Send request using a random proxy
url = 'http://example.com'
proxy = get_random_proxy()
response = requests.get(url, proxies=proxy)
print(response.text)

How to Use a Proxies in Python Requests? Review FAQ

A proxy pool can help automation tools or crawlers bypass IP blocks, increase the anonymity of requests, and reduce the risk of being detected by target websites.

You can test the proxies by sending requests to a known URL to measure the response time and accessibility of the proxy server. If a proxy returns errors or has long response times, it can be removed from the proxy pool.

Yes, using proxies can increase request latency, especially if the proxy server is geographically distant or inherently slow. Choosing proxies with fast response times can partially mitigate this issue.

When implementing a proxy pool, it is recommended to add error-handling logic, such as retrying requests or switching to another proxy upon request failure. This can be achieved by catching exceptions and replacing the proxy when a connection error is detected.
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