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Python web scraping example using residential proxy
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Python web scraping example using residential proxy
#1
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Residential proxy is a network service that forwards the user's network request to the target website or server through a transit server while protecting the user's IP address. The characteristic of this service is that the IP address it provides comes from a real residential user, not a data center or computer room, so it is more authentic and trustworthy.
Before using a residential proxy, we first need to find an available residential proxy. Currently, there are many websites that provide free or paid proxy services, and we can obtain proxy IP information through their API interfaces. The following is a sample code for obtaining the proxy IP using the requests library:
import requests

if __name__ == '__main__':
    # Define the proxy details
    proxyip = "http://username_custom_zone_US:[email protected]: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)
After executing the above code, we can get a page of proxy information, including IP address and port number. It should be noted that different proxy websites may return data in different formats, so we need to parse it according to the actual situation.
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#2
Thanks for information.
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