Python download images: Python image download proxy settings

Python downloading images stuck? Try this proxy IP trick

Crawler brothers have encountered it? When you use the requests library to download images, suddenly the IP is banned, and you can't catch the data. Today, I'll teach you a wildcard - put a proxy IP on your Python script, especially if you're using theipipgoThe home service has been tested to bypass the 90% blocking issue.

How exactly do you connect a proxy IP into the code?

To put it bluntly, it's just adding a proxies parameter to the requests request, to give a chestnut:

import requests

 Fill in the proxies provided by ipipgo here
proxies = {
    'http': 'http://用户名:密码@gateway.ipipgo.com:端口',
    'https': 'http://用户名:密码@gateway.ipipgo.com:端口'
}

response = requests.get('image address', proxies=proxies, timeout=10)

 Save the file
with open('demo.jpg', 'wb') as f.
    f.write(response.content)

Note! Many websites will check the request header, it is recommended to add User-Agent to disguise as a browser:

headers = {
    'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) ...'
}
response = requests.get(url, headers=headers, proxies=proxies)

Why do you recommend ipipgo's proxy?

Having used seven or eight agency service providers, this one has the three most tangible advantages:

1. Agreements are fully active

Support HTTP/HTTPS/Socks5 three mainstream protocols, especially their cross-border line, under the overseas picture speed can soar to 3MB/s +!

2. Automatic switching of IP pools

Dynamic residential packages come with IP rotation, no need to write your own switching logic, especially suitable for batch download scenarios

3. Comparison of package prices

Guide to Avoiding the Pit (Frequently Asked Questions QA)

Q: Did the proxy set up successfully or was it banned?
A: the probability is that the IP quality is not good, change ipipgo static residential packages, their IP survival cycle is 2-3 times longer than the counterparts

Q: What should I do if I get stuck halfway through the download?
A: add a retry mechanism in the code, and check the proxy connection status. ipipgo client has real-time traffic monitoring, which can quickly locate the problem node.

Q: What if I need to handle hundreds of download tasks at the same time?
A: Go on multiple threads! But be careful that the number of threads doesn't exceed the concurrency limit of the proxy package. Use ipipgo's Enterprise package, which supports up to 500 concurrency

Advanced Tips: Smart Switching Proxy Pools

Automatically changing proxies when a download fails, this script template can be copied directly from homework:

from itertools import cycle

 List of proxies from the ipipgo API
proxy_list = [
    'http://ip1:port',
    'http://ip2:port', ...
     ... Prepare at least 10 IPs
]

proxy_pool = cycle(proxy_list)

retry = 3
for _ in range(retry): proxy = next(proxy_pool)
    proxy = next(proxy_pool)
    try.
        response = requests.get(url, proxies={'http': proxy}, timeout=15)
        if response.status_code == 200:: response.status_code
            If response.status_code == 200: break
    except Exception as e: print(f"{proxy}
        print(f"{proxy} hung, next one...")

Lastly, don't use free proxies! Especially the next picture of this traffic-consuming operation, cheap paid proxy are more reliable than free. ipipgo new users have 5 yuan experience package, try it yourself to know where the gap.