IPIPGO ip proxy Google Image Crawler: Image URL Harvesting Solution

Google Image Crawler: Image URL Harvesting Solution

Google image crawler why need proxy IP? Brothers who have engaged in data collection know that Google's anti-climbing mechanism is like an iron gate. To cite a real scenario: you have written a crawler script, the first ten minutes of running quite happily, and then suddenly returned 403 error - this is a typical IP blocked. The most important thing is that you have to be able to get the best out of it.

Google Image Crawler: Image URL Harvesting Solution

Why does Google Image Crawler need a proxy IP?

Brothers who have engaged in data collection know that Google's anti-climbing mechanism is like an iron gate. To cite a real scene: you have written a crawler script, the first ten minutes of running quite happily, and then all of a sudden theReturns a 403 errorThis is a typical case of IP blocking. Ordinary users may think that a different browser will solve the problem, but professional crawlers understand that theIt's the IP address that kills you.The

Proxy IP is like a locksmith at this time, especially to do picture URL collection of this high-frequency operation. For example, to capture a keyword under the 500 pages of pictures, with a fixed IP, but not 20 pages quasi stop. We have tested, with residential proxy IP rotation, the success rate can soar from 30% to 90% or more.

Hands-on building of the collection environment

Let's start with the core equipment: Python environment + Requests library + proxy IP pool. Here's one.potholeNote: Don't use free proxies directly, nine out of ten of those things are useless. Let's use ipipgo's Dynamic Residential Proxy, which has been tested for stability and reliability.


import requests
from bs4 import BeautifulSoup

proxies = {
    'http': 'http://user:pass@gateway.ipipgo.com:9020',
    'https': 'http://user:pass@gateway.ipipgo.com:9020'
}

headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'}

def fetch_images(keyword): url = f"{keyword}": url = f"{keyword}".
    url = f "https://www.google.com/search?q={keyword}&tbm=isch"
    response = requests.get(url, headers=headers, proxies=proxies)
    soup = BeautifulSoup(response.text, 'html.parser')
     Write the parsing logic here...

Proxy IP practical skills

Three key operations must be mastered:

Type of operation Recommended Programs Effect Comparison
IP switching frequency IP change every 50 requests Decrease in blocking rate 70%
timeout setting 10 seconds automatic switching 2X improvement in collection efficiency
geographic location European and American Residential IP Priority More accurate image results

Especially recommend ipipgo'sIntelligent Routing FunctionIt can automatically match the optimal export node according to the target website. Before using other agents, you have to adjust the geographic location manually, but now you can directly select the smart mode and you're done.

Frequently Asked Questions QA

Q: What should I do if the URL of the captured image fails fast?
A: Google's image links are time-sensitive, it is recommended to turn on ipipgo'ssession hold functionIf the same session uses the same egress IP, then the same egress IP should be used for the same session.

Q: What should I do if I always encounter CAPTCHA?
A: Crank up the request interval to 3-5 seconds with ipipgo'sReal-life operation simulationservice that effectively bypasses authentication mechanisms

Q: Why do you recommend residential proxies without server room IPs?
A: The IP segment of the server room has long been tagged by Google, and the IPs of the residential proxies are all home broadband, which is much more difficult to recognize. ipipgo's residential IP pool is updated daily with more than 20% to ensure freshness!

Guide to avoiding the pit

Two of the easiest places for newbies to fall:
1. not set User-Agent rotation, just change the IP is useless
2. Ignore SSL certificate validation, https request will report an error
It is recommended to add these two lines directly into the code:


session = requests.Session()
adapter = requests.adapters.HTTPAdapter(max_retries=3)
session.mount('http://', adapter)

One last thing.lesson learned through blood and tears: Don't use selenium or other browser drivers in the crawler, it's inefficient and easy to be blocked. The combination of requests+proxy IP is the king's way. If you need a stable proxy service, go directly to the ipipgo website to jack a test package, new users to send 5G flow enough to test the water.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/35356.html

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