IPIPGO ip proxy LinkedIn Job Crawl: Specialized Proxy IPs Bypass LinkedIn Restrictions

LinkedIn Job Crawl: Specialized Proxy IPs Bypass LinkedIn Restrictions

When the crawler meets LinkedIn restrictions, what to do? Those who engage in data collection know that LinkedIn's anti-crawl mechanism is like an iron gate. Last week I helped my friend's company to get job data, just grabbed 200 accounts on the ban. At this time it is necessary to sacrifice the big killer - proxy IP rotation. This method is equivalent to wearing a crawler...

LinkedIn Job Crawl: Specialized Proxy IPs Bypass LinkedIn Restrictions

What to do when a crawler meets LinkedIn restrictions?

Those who engage in data collection know that LinkedIn's anti-crawl mechanism is like an iron gate. Last week I helped my friend's company to get job data, just grabbed 200 accounts and was banned. This is the time to sacrifice the big killer--Proxy IP RotationThis method is equivalent to giving the crawler a cloak of invisibility. This method is equivalent to the crawler wearing a cloak of invisibility, each visit to change the face, the site can not recognize you are the same person.

Why Use Proxy IPs?

Anyone who has worked on web crawling understands these three pain points:
1. IP blocked into a sieveThe average crawler is exposed in half an hour.
2. Incomplete data: Interception leading to loss of critical information
3. so inefficient it makes you cry: Manually changing IPs can drive a person crazy

With ipipgo's proxy pool, it's been tested to carry 12 hours of continuous acquisition. The one they haveDynamic Residential AgentsEspecially suitable for LinkedIn, IP survival time control in 15-30 minutes, automatic switching without leaving traces.

Teach you how to build a proxy crawler


import requests
from itertools import cycle

proxies = [
    
    "http://user:pass@gateway.ipipgo.com:8001".
     Add more ipipgo proxies here
]

proxy_pool = cycle(proxies)

for page in range(1,50):
    current_proxy = next(proxy_pool)
    try: current_proxy = next(proxy_pool)
        response = requests.get(
            f "https://linkedin.com/jobs/search?page={page}",
            proxies={"http": current_proxy}
        )
         Add the parsing logic here
    print(f "Change alternate IP: {"http": current_proxy}")
        print(f "Change alternate IP: {current_proxy}")

Key Operations:
- Different exit IP for each request
- Automatic switchover of standby nodes in case of anomaly
- Request intervals controlled to 3-5 seconds
- Prioritize residential proxies (ipipgo backend optional)

A guide to avoiding the pit (blood and tears)

problematic phenomenon prescription
Suddenly return to the verification code Immediately pause for 10 minutes and change to a new IP segment
Incomplete data loading Enable browser-level proxies (plug-in provided by ipipgo)
Account Exception Alert Different cookies for different IP bindings

QA time

Q: Is it okay to use a free proxy?
A: Never! Free IPs have long been blacklisted by LinkedIn, use a professional service provider like ipipgo to ensure IP purity.

Q: Will there be a lawsuit?
A: Comply with robots agreement, control the collection frequency. ipipgo's compliant agent pool comes with a legal risk avoidance mechanism.

Q: What should I do if the agent responds slowly?
A: Check the box in the ipipgo backendlow latency nodeThey have a smart routing feature that works exceptionally well.

Top 3 reasons to go with ipipgo

1. Real-life IP: Mixed up with regular user IPs, it's impossible to tell the difference
2. Failure auto retry: When an IP hangs, it cuts the next one in seconds.
3. Customized protocol support: request headers optimized specifically for LinkedIn

Last month, they used their service to continuously crawl 80,000 job data, the whole process is as stable as an old dog. If you ask me, professional things should be handed over to professional tools, hard just anti-climbing system is purely asking for trouble.

This article was originally published or organized by ipipgo.https://www.ipipgo.com/en-us/ipdaili/36499.html

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