IPIPGO ip proxy Proxy IP simple crawler tool: simple proxy crawler tool development

Proxy IP simple crawler tool: simple proxy crawler tool development

Teach you to do a proxy IP crawler Recently, many friends asked how to get a proxy IP collection tool, in fact, this thing is like doing scrambled eggs with tomatoes, look at the simple but to master the fire. Let's use the most practical way today, starting from scratch the whole job. Why do you need a proxy IP? For example, each of your ...

Proxy IP simple crawler tool: simple proxy crawler tool development

Handy little proxy IP crawler!

Recently, many friends asked how to get a proxy IP acquisition tool, in fact, this thing is like doing scrambled eggs with tomatoes, looking simple but to master the fire. Let's use the most practical way today, starting from scratch the whole job.

Why do I need a proxy IP?

For example, if you go to the supermarket every day to buy eggs and wear red clothes for three days in a row, the security guards may stop you for the fourth time - this is the same as the website blocking IP. Using a proxy IP is like going to the grocery store every day in different clothes.At the core, there are three things: hiding real identity, breaking access restrictions, and improving collection efficiency.The

Agent Type Applicable Scenarios
Dynamic Residential Data collection, price monitoring
Static homes Account Management, Social Operations
data center High-traffic downloads, video parsing

Four Steps to Developing Tools

Let's demonstrate this in Python, and the same goes for other languages:


import requests
from bs4 import BeautifulSoup

 Replace this with the ipipgo API address.
proxy_api = "https://api.ipipgo.com/getproxy"

def get_proxy():
    response = requests.get(proxy_api)
    return response.text.strip()

target_url = "The address of the website to be captured"
headers = {'User-Agent': 'Mozilla/5.0'}

for _ in range(5): Example captured 5 times
    proxies = {
        'http': f'http://{get_proxy()}',
        'https': f'http://{get_proxy()}'
    }
    try.
        resp = requests.get(target_url, headers=headers, proxies=proxies, timeout=10)
        soup = BeautifulSoup(resp.text, 'html.parser')
         Here is the specific parsing logic...
        print("Capture successful!")
        break
    except Exception as e.
        print(f "This time it's over. Get a new vest and come back → {e}")

Choosing an agent depends on the doorway

Don't just look at the price, just like you can't just look at the capacity when buying a rechargeable battery. Anyone who has used ipipgo knows that his familyDynamic Residential Agency has three great things going for it::

1. True residential IP with direct operator cooperation
2. Automatic IP switching interval can be customized
3. Support for simultaneous initiation of multiple sessions

In particular, do commodity price comparison friends, with his standard version of the dynamic agent, 7 more than 1G flow enough to pick tens of thousands of data, cheaper than drinking milk tea.

Common Rollover Scene QA

Q: What should I do if the code runs and gets stuck?
A: 80% of the IP is blocked, it is recommended that: ① check the request frequency is not too fierce ② change the static residential IP ③ add a 3-5 seconds delay!

Q: What should I do if the collected data is garbled?
A: eighty percent of the website anti-climbing mechanism, try: ① add a random User-Agent ② ipipgo TK line agent ③ simulated mouse scrolling operation

ipipgo Serving Guide

Used a dozen proxy services and ended up using ipipgo long term mainly because:


√ 1GB test traffic for new users (fill in the invitation code when registering [no such thing, don't make it up])
√ Client comes with IP speed test function.
√ Customer service response speed is faster than a delivery boy.

His family package selection has to pay attention to: do content aggregation with dynamic standard version, raise the number of static residential, cross-border business directly on the cross-border line. Recently discovered a hidden trick--The IP pool is updated most frequently at 3pm on weekdays, this time of year collection success rates skyrocket.

Lastly, I would like to remind you that the collection tool is just like stir-frying, and you have to grasp the fire and seasoning by yourself. Encounter problems more than a few IP try, don't with a dead end. Remember to do the stress test after the development of tools, with ipipgo's enterprise version of the dynamic agent can carry a high concurrency, personally tested at the same time to run 50 tasks as stable as the old dog.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/40959.html

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