How to use Hydraproxy in Python

Using Python with a proxy server offers several advantages in various scenarios. Here are some benefits of incorporating proxies into your Python web scraping or web crawling workflows:

  1. Access to Geo-Restricted Content: Proxies enable you to access content that might be restricted to specific geographic regions by routing your requests through servers located in those regions.
  2. IP Rotation: Proxies allow you to rotate IP addresses, helping you avoid IP-based rate limits or blocking from websites.
  3. Simultaneous Scraping: With proxies, you can scrape multiple websites simultaneously without triggering blocks or restrictions by distributing your requests across different IP addresses.
  4. Scalability: Proxies provide a scalable solution for web scraping, allowing you to handle larger volumes of data by adding more proxy servers.
  5. Firewall and Filter Bypass: Proxies help you bypass firewalls, content filters, or network restrictions, enabling access to blocked or restricted websites.
  6. A/B Testing and Data Analysis: Proxies allow you to simulate requests from different user segments, locations, or user agents, facilitating A/B testing and diverse data collection for analysis.

By utilizing proxies in your Python web scraping workflows, you can enhance privacy, access restricted content, rotate IP addresses, achieve scalability, optimize performance, bypass filters, ensure security, and conduct meaningful data analysis.

To implement proxy usage in Python, you can use the requests library along with the proxies parameter. Here’s an example of how you can incorporate proxies into your code:

import requests
# URL to scrape
url = ''  # Replace with the desired website URL

# Proxy configuration
proxy = 'http://username:[email protected]_ip:proxy_port'  # Replace with your proxy details
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('Request failed with status code:', response.status_code)

In the code above, you need to replace ‘http://username:[email protected]_ip:proxy_port’ with your actual proxy details. For scraping we recommend our residential proxies as their rotation setup is suitable:

The residential proxies have two options:
1) Request-based rotation – your residential proxy IP will rotate on each request of your tool or browser (such as page refresh)
2) Sticky IP sessions – you’ll get a sticky residential proxy IP that can be used from a few minutes up to one hour, which you can change on demand sooner than its expiration time.

The format of our residential proxies is: username:[email protected]:9989 . Instead of the hostname you can also use the numeric form of the server by accessing your dashboard->manage access->server IP

Our mobile proxies do not require username and password authentication, so when using our mobile proxies you can remove the username:[email protected] part from the URL. For mobile proxy auth we use a whitelisted IP (your IP) as an authentication method. This access IP can be changed every 30min from your HydraProxy dashboard by clicking the manage access button next to the proxy and then add the new whitelisted IP in the Port Management section.

The proxies parameter is a dictionary that specifies the proxies for HTTP and HTTPS requests. In this example, the same proxy is used for both HTTP and HTTPS requests. If your proxy configuration differs for HTTP and HTTPS, you can modify the proxies dictionary accordingly. By using the proxies parameter in the requests.get() method, the request will be made through the specified proxy. You can then process the response as needed.

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