In this post, we'll explore how to use residential proxies with Python to make requests while masking your IP address. Residential proxies can help you access web content with a more authentic IP address, which can be useful for web scraping.
A residential proxy routes your requests through an IP address provided by an Internet Service Provider (ISP), rather than a data center. This makes it appear as though your requests are coming from a regular home user, which can be beneficial for avoiding IP-based rate limiting.
Here’s a simple example of how to use a residential proxy in Python using the requests library:
import requests if __name__ == '__main__': # Define the proxy details proxyip = "http://username_custom_zone_US:password@us.swiftproxy.net:7878" # The URL to which the request will be made url = "http://ipinfo.io" # Set up the proxies dictionary proxies = { 'http': proxyip, 'https': proxyip, # Include HTTPS if you plan to use secure URLs } # Make a GET request through the proxy response = requests.get(url=url, proxies=proxies) # Print the response text print(response.text)
Proxy Details: Replace username_custom_zone_US, password, us.swiftproxy.net, and 7878 with your actual proxy credentials and details.
Proxies Dictionary: The proxies dictionary maps both HTTP and HTTPS protocols to your proxy. If you only need HTTP, you can remove the https entry.
Making Requests: The requests.get function is used to make a GET request to the specified URL through the proxy.
Printing the Response: The response from the server is printed out. In this example, we’re using http://ipinfo.io to show the IP address information of the proxy.
Using a residential proxy with Python can be a powerful tool for various applications, from web scraping to accessing region-specific content. With the example provided, you should be able to get started with incorporating proxies into your Python projects.
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