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Proxy with Python Requests: 3 Setup Methods Explained
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Updated on
December 2, 2025

Proxy with Python Requests: 3 Setup Methods Explained

In today's data-driven world, web scraping and automated web interactions have become essential tasks for many developers. However, these tasks often require handling a large number of requests, which can quickly get blocked by websites. This is where proxies come into play. By routing your requests through a proxy server, you can mask your IP address and avoid getting blocked. In Python, the Requests library provides a straightforward way to manage proxies and ensure seamless web interactions. In this article, we'll explore three effective methods to use proxies with Python's Requests library: using static proxies, leveraging a proxy list, and implementing rotating residential proxies. We'll also dive into advanced proxy configurations and address common issues to help you get started. 

Prerequisites

Before diving into the various methods of using proxies in Python Requests, there are a few prerequisites you should be familiar with to ensure a smooth implementation.

Basic knowledge of Python and Requests library

  • Ensure you have Python installed on your system. You can download it from the official Python website.
  • The Requests library should be installed. If not, you can install it using pip:
<pre class="highlight pre-shadow">
<code class="js">
pip install requests
</code>
</pre>

Understanding of proxies

A proxy server acts as an intermediary between your client and the server you want to communicate with. It can help you mask your IP address, manage request limits, and access geographically restricted content.

Proxy server information

To use proxies effectively, you need the following information about the proxy server:

  • Proxy Server Address: The proxy server address consists of the IP address and the port number of the proxy server. This address is crucial as it determines the server through which your requests will be routed.
  • IP Address: This is a unique address that identifies the proxy server on the network.some text
    • Example: 123.456.789.012
  • Port Number: This is a numerical identifier in networking used to distinguish different services or processes on the proxy server.some text
    • Example: 8080

Together, the IP address and port number form the proxy server address:

  • Example: http://123.456.789.012:8080
  • Authentication Details (if required): Some proxy servers require authentication to ensure that only authorized users can use their services. If your proxy server requires authentication, you'll need to provide:
  • Username: The account identifier for the user authorized to access the proxy.some text
    • Example: myUsername
  • Password: The secret key associated with the username to authenticate the user.some text
    • Example: myPassword

When combined with the proxy server address, the format for an authenticated proxy URL is:

  • Example: http://myUsername:myPassword@123.456.789.012:8080

Proxy Type: Proxies come in different types, each suited for specific kinds of network traffic and security needs. Understanding the type of proxy your server supports is essential for proper configuration.

  • HTTP Proxy:some text
    • Usage: Suitable for standard HTTP requests. It is commonly used for accessing websites and web scraping.
    • Example: http://123.456.789.012:8080
  • HTTPS Proxy:some text
    • Usage: Supports encrypted (HTTPS) traffic, making it suitable for accessing secure websites.
    • Example: https://123.456.789.012:8080
  • SOCKS5 Proxy:some text
    • Usage: Offers more flexibility and can handle various types of traffic, including HTTP, HTTPS, FTP, and more.
    • Example: socks5://123.456.789.012:1080

3 Methods of using proxies with Python Requests

In this section, we will cover three effective methods to use proxies with Python Requests. These methods include using static proxies, leveraging a proxy list, and implementing rotating residential proxies.

Method 1: Using static proxies

Using a static proxy in Python Requests is one of the simplest and most common methods. A static proxy is a single proxy server through which all your requests are routed. This method is particularly useful for straightforward use cases where you don’t need to switch proxies frequently. Let’s explore how to use both HTTP and HTTPS proxies, including how to handle proxy authentication.

Example: Using a single proxy for HTTP/HTTPS requests

To use a static proxy with the Requests library, you need to specify the proxy server address in the proxies parameter of your request. Here’s how you can do it for both HTTP and HTTPS proxies:

<pre class="highlight pre-shadow">
<code class="js">
import requests

# Define the proxy server addresses
proxy = {
    "http": "http://123.456.789.012:8080",
    "https": "https://123.456.789.012:8080"
}

# Function to make a request through the proxy and print the response
def fetch_ip(url):
    response = requests.get(url, proxies=proxy)
    print(response.json())

# Make requests through the proxy
fetch_ip("http://httpbin.org/ip")
fetch_ip("https://httpbin.org/ip")
</code>
</pre>
  • Proxy Dictionary: The proxy dictionary specifies both the HTTP and HTTPS proxy server addresses.
  • fetch_ip Function: This function takes a URL as an argument, makes a request through the proxy, and prints the response.
  • Requests: Calls to fetch_ip with http://httpbin.org/ip and https://httpbin.org/ip demonstrate the use of the proxy for both HTTP and HTTPS requests.

Proxy authentication

Some proxies require authentication to use their services. To authenticate with a proxy, you need to include the username and password in the proxy URL. Here’s how to do it:

<pre class="highlight pre-shadow">
<code class="js">
import requests

# Define the proxy server addresses with authentication
proxy = {
    "http": "http://username:password@123.456.789.012:8080",
    "https": "https://username:password@123.456.789.012:8080"
}

# Function to make a request through the authenticated proxy and print the response
def fetch_ip(url):
    response = requests.get(url, proxies=proxy)
    print(response.json())

# Make requests through the authenticated proxy
fetch_ip("http://httpbin.org/ip")
fetch_ip("https://httpbin.org/ip")
</code>
</pre>
  • Proxy Dictionary with Authentication: The proxy dictionary includes both the HTTP and HTTPS proxy server addresses with the embedded username and password for authentication.
  • fetch_ip Function: This function takes a URL as an argument, makes a request through the authenticated proxy, and prints the response.
  • Requests: Calls to fetch_ip with http://httpbin.org/ip and https://httpbin.org/ip demonstrate the use of the authenticated proxy for both HTTP and HTTPS requests.

Handling environment variables

You can also set proxies via environment variables, which is particularly useful for managing proxy settings globally across your Python application.

<pre class="highlight pre-shadow">
<code class="js">
import os
import requests

# Set environment variables for the proxy
os.environ["HTTP_PROXY"] = "http://123.456.789.012:8080"
os.environ["HTTPS_PROXY"] = "https://123.456.789.012:8080"

# Make a request through the proxy using Requests (it will automatically use the environment variables)
response = requests.get("http://httpbin.org/ip")
print(response.json())

response = requests.get("https://httpbin.org/ip")
print(response.json())
</code>
</pre>
  • Environment variables HTTP_PROXY and HTTPS_PROXY are set to the proxy server addresses.
  • The requests library automatically uses these environment variables for the requests.

Method 2: Using a proxy list

In scenarios where you need to distribute requests across multiple proxies to avoid rate limits or IP bans, using a proxy list is an effective strategy. By manually changing proxies using a proxy list configuration, you can cycle through different proxies to ensure a more balanced and less detectable request pattern. This method is especially useful for large-scale web scraping and data extraction tasks.

Manually changing proxies using a proxy list configuration

To use a proxy list in Python Requests, you can load a list of proxy servers and switch between them for each request. Here’s a step-by-step guide on how to achieve this:

‍Step 1: Create a Proxy List

‍First, create a list of proxy servers. You can store this list in a file or directly in your script. For simplicity, we’ll define the list in the script.

<pre class="highlight pre-shadow">
<code class="js">
# List of proxies
proxy_list = [
    "http://123.456.789.012:8080",
    "http://234.567.890.123:8080",
    "http://345.678.901.234:8080"
]
</code>
</pre>

Step 2: Function to Get a Proxy

Create a function to randomly select a proxy from the list. This function will be used to assign a different proxy for each request.

<pre class="highlight pre-shadow">
<code class="js">
import random

def get_proxy():
    return random.choice(proxy_list)
</code>
</pre>

Step 3: Make Requests Using Proxies

Use the get_proxy function to select a proxy for each request. You can loop through your list of URLs or tasks, assigning a new proxy for each iteration.

<pre class="highlight pre-shadow">
<code class="js">
import requests

# List of URLs to scrape
urls = [
    "http://httpbin.org/ip",
    "http://httpbin.org/user-agent",
    "http://httpbin.org/headers"
]

for url in urls:
    # Get a random proxy from the list
    proxy = get_proxy()
    
    # Define the proxy dictionary
    proxies = {
        "http": proxy,
        "https": proxy
    }
    
    # Make a request through the proxy
    response = requests.get(url, proxies=proxies)
    
    # Print the response
    print(f"Using proxy {proxy}")
    print(response.json())
    print("\n")
</code>
</pre>

In this example:

  • A list of proxies proxy_list is defined.
  • The get_proxy function randomly selects a proxy from the list.
  • For each URL in the urls list, a random proxy is chosen, and a request is made through that proxy.
  • The proxy used and the response from the server are printed for verification.

Handling proxy authentication

If your proxies require authentication, include the username and password in the proxy URL within the proxy list.

<pre class="highlight pre-shadow">
<code class="js">
# List of proxies with authentication
proxy_list = [
    "http://username:password@123.456.789.012:8080",
    "http://username:password@234.567.890.123:8080",
    "http://username:password@345.678.901.234:8080"
]

def get_proxy():
    return random.choice(proxy_list)

# Rest of the code remains the same
</code>
</pre>

Method 3: Using rotating residential proxies

Rotating residential proxies provide a powerful solution for web scraping and data extraction tasks where high anonymity and avoiding IP bans are crucial. Residential proxies route your requests through real residential IP addresses, making them less likely to be detected and blocked by websites. This method involves using a pool of residential proxies that rotate automatically, ensuring each request comes from a different IP address.

Using rotating residential proxies can be more complex and typically involves subscribing to a proxy service that provides the necessary infrastructure. Let’s explore how to implement this method in Python Requests.

Using rotating residential proxies

To use rotating residential proxies, you will typically need access to a proxy service that provides a pool of residential IPs. If you have access to such a service, follow these steps:

Step 1: Subscribe to a Residential Proxy Service

First, subscribe to a residential proxy service that supports rotation. Obtain the API endpoint, credentials, and any necessary configurations from the service provider.

Step 2: Set Up the Proxy Configuration

Once you have the details from your proxy service, set up the proxy configuration in your Python script. The proxy provider will usually offer an endpoint that handles the rotation of IPs for you.

<pre class="highlight pre-shadow">
<code class="js">
import requests

# Example configuration from a residential proxy service
proxy = {
    "http": "http://username:password@proxy-service.com:12345",
    "https": "http://username:password@proxy-service.com:12345"
}

# URL to scrape
url = "http://httpbin.org/ip"

# Make a request through the rotating residential proxy
response = requests.get(url, proxies=proxy)

# Print the response
print(response.json())
</code>
</pre>

In this example:

  • The proxy dictionary contains the endpoint provided by the proxy service, including authentication credentials.
  • The requests.get method sends a GET request through the rotating residential proxy.

Step 3: Advanced Proxy Management

For more advanced usage, you might need to integrate with the proxy service’s API to manage sessions, handle failures, and ensure optimal rotation. Here’s an example of how you can implement advanced management features:

<pre class="highlight pre-shadow">
<code class="js">
import requests
import time

# Proxy service configuration
proxy_url = "http://username:password@proxy-service.com:12345"

# Function to make a request through the proxy
def fetch(url):
    proxies = {
        "http": proxy_url,
        "https": proxy_url
    }
    try:
        response = requests.get(url, proxies=proxies, timeout=10)
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"Request failed: {e}")
        return None

# List of URLs to scrape
urls = [
    "http://httpbin.org/ip",
    "http://httpbin.org/user-agent",
    "http://httpbin.org/headers"
]

# Iterate over the URLs and make requests
for url in urls:
    result = fetch(url)
    if result:
        print(result)
    time.sleep(2)  # Adding delay to avoid too many requests in a short time
</code>
</pre>

In this example:

  • The fetch function handles requests through the rotating proxy, with error handling to manage request failures.
  • The script iterates over a list of URLs, making requests and printing the results.
  • A delay is added between requests to avoid hitting rate limits.

Advanced proxy configuration

Advanced proxy configuration allows you to fine-tune your requests to bypass more sophisticated detection mechanisms, handle different scenarios, and enhance the performance of your web scraping tasks. Here we will cover how to modify request HTTP headers and provide one additional advanced tip.

Modifying request HTTP headers

Modifying HTTP headers can help you emulate real browser behavior and avoid detection by target websites. Common headers to modify include User-Agent, Referer, and Accept-Language.

Here’s an example of how to modify these headers in your requests:

<pre class="highlight pre-shadow">
<code class="js">
import requests

# Proxy configuration
proxy = {
    "http": "http://username:password@proxy-service.com:12345",
    "https": "http://username:password@proxy-service.com:12345"
}

# Custom headers
headers = {
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
    "Referer": "https://www.google.com",
    "Accept-Language": "en-US,en;q=0.9"
}

# URL to scrape
url = "http://httpbin.org/headers"

# Make a request through the proxy with custom headers
response = requests.get(url, proxies=proxy, headers=headers)

# Print the response
print(response.json())
</code>
</pre>

In this example:

  • The headers dictionary contains custom HTTP headers to mimic a real browser request.
  • The requests.get method sends a GET request through the proxy with the specified headers.

Handling sessions with proxies

Using sessions in combination with proxies can maintain state across multiple requests, such as handling cookies or reusing TCP connections for improved performance.

Here’s how to use a session with a proxy:

<pre class="highlight pre-shadow">
<code class="js">
import requests

# Proxy configuration
proxy = {
    "http": "http://username:password@proxy-service.com:12345",
    "https": "http://username:password@proxy-service.com:12345"
}

# Create a session
session = requests.Session()

# Set the proxy for the session
session.proxies.update(proxy)

# Set custom headers for the session
session.headers.update({
    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36",
    "Referer": "https://www.google.com",
    "Accept-Language": "en-US,en;q=0.9"
})

# URL to scrape
url = "http://httpbin.org/headers"

# Make a request through the session
response = session.get(url)

# Print the response
print(response.json())

# Close the session when done
session.close()
</code>
</pre>

In this script:

  • A requests.Session object is created and configured with the proxy and custom headers.
  • The session maintains these settings across multiple requests, providing efficiency and consistency.
  • The session is closed after use to free up resources.

Fixing common issues

When using proxies with Python Requests, you may encounter several common issues. Here, we’ll address incorrect proxy formats, authentication issues, and incorrect proxy types.

Incorrect proxy format

Using an incorrect proxy format can lead to connection errors. Ensure your proxy URL follows the correct format:

  • For HTTP/HTTPS proxies:some text
    • Without authentication: http://IP:PORT
    • With authentication: http://username:password@IP:PORT
<pre class="highlight pre-shadow">
<code class="js">
proxy = {
    "http": "http://123.456.789.012:8080",
    "https": "https://123.456.789.012:8080"
}
</code>
</pre>

Verify the correct format to avoid syntax errors.

Authentication issues

Authentication issues arise when incorrect credentials are provided or when proxies require authentication but none is provided. These issues can manifest through various error codes. Understanding these error codes and their solutions can help troubleshoot and resolve authentication problems effectively.

Common error codes

407 Proxy Authentication Required:

  • Description: Indicates missing or incorrect proxy authentication.
  • ‍Solution: Ensure the correct format for authenticated proxies:

401 Unauthorized:

  • Description: Indicates that the request requires user authentication, often occurring when the proxy server or the target server demands valid credentials.
  • ‍Solution: Verify that the credentials (username and password) provided are correct and that they have the necessary permissions. Also, ensure that the credentials are being sent to the correct server.

Incorrect proxy types

Using the wrong proxy type (HTTP vs. SOCKS5) can result in connection failures and hinder the effectiveness of your web scraping efforts. It's crucial to understand the differences between these proxy types to ensure seamless operation.

Common error codes

403 Forbidden: This error is often encountered when the proxy usage is incorrect or restricted by the server. It indicates that the server understood the request but refuses to authorize it.

400 Bad Request: When you encounter this error, it typically signifies a problem with the proxy configuration or URL. It suggests that the request sent by the client (your script) is malformed or contains incorrect syntax.

Solution: To mitigate these issues, it's essential to use the correct proxy type that aligns with your specific requirements. For instance, SOCKS5 proxies offer advanced features like UDP support and authentication, which might be necessary for certain applications.

When using SOCKS5 proxies with Python Requests, ensure that you have the requests[socks] package installed. This package provides support for SOCKS proxies and allows you to seamlessly integrate SOCKS5 proxies into your scraping workflow.

<pre class="highlight pre-shadow">
<code class="js">
import requests

proxy = {
    "http": "socks5://username:password@123.456.789.012:1080",
    "https": "socks5://username:password@123.456.789.012:1080"
}

try:
    response = requests.get("http://httpbin.org/ip", proxies=proxy)
    print(response.json())
except requests.exceptions.RequestException as e:
    print(f"Request error: {e}")
</code>
</pre>

Conclusion

Incorporating proxies into your Python Requests workflow greatly enhances web scraping efficiency and reliability. We’ve covered three main methods: static proxies, proxy lists, and rotating residential proxies. Additionally, advanced configurations like header modification and session management were discussed, along with solutions for common issues such as authentication errors and incorrect proxy types. By implementing these strategies, you can effectively navigate challenges and optimize your web scraping tasks for greater efficiency and reliability.

Anber Arif
Technical Writer
Anber Arif, a Software Engineer, leverages over three years of expertise in crafting clear and impactful technical content.
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