LinkedIn Data: B2B Contacts Database

The Central Role of Proxy IP in LinkedIn Data Collection

Engage in LinkedIn's B2B contact data, the biggest headache is account blocked. Last week a friend doing foreign trade with me to complain, just climbed the 200 company information account hung, anxious to jump straight to the feet. At this timeproxy IPIs a lifesaver - it allows you to be like the Monkey King seventy-two changes, each visit to change a "vest", the platform simply can not distinguish who is who.

Let's take a real example: you want to capture the head of purchasing for a US medical device company. If you only use your home office IP to swipe wildly, LinkedIn's defense system can catch you in 10 minutes. But if you use ipipgo's dynamic residential IP, each request for a different city or even operator, the collection efficiency can be tripled and not blocked.

import requests
proxies = {
    'http': 'http://user:pass@us.ipipgo-rotate.com:30000',
    'https': 'http://user:pass@us.ipipgo-rotate.com:30000'
}
response = requests.get('https://linkedin.com/company/目标企业', proxies=proxies)

Four Tips for Quality Data Collection

first moveIP type should be right: Residential IPs are much more reliable than server room IPs, especially the ipipgo kind with home broadband tags, and the success rate can go up to 92% or more. Second Tip.Switching frequency should be randomized, don't be stupid and change it every 5 minutes, it's easy to recognize.

The third move.Work with browser fingerprintsThe fourth trick is the most critical, it's not enough to just change the IP, you have to match the time zone, language, and UserAgent to the set. The fourth move is the most critical -Controlling the rhythm of acquisition, don't pounce like a hungry wolf, mimic real people operating intervals and add random scrolling stops.

ipipgo practical program recommendation

After using 7 or 8 proxy services, it's not for nothing that I ended up locking in on ipipgo. His house.Dynamic Residential IP PoolThere is a masterpiece: it can automatically match the IP of the local operator where the target enterprise is located. for example, if you want to dig the German auto parts supplier, the IPs given are all the real home broadband in Frankfurt and Munich, which is just like the local sales in use.

There is a do industrial software friends personally test, with ordinary proxy per day up to 300 picking still old interruptions, replaced with ipipgoEnterprise PackageAfter that, it stabilized at 1200+ entries per day. The key thing is that his API supportsPay per success, invalid requests are not deducted, which is especially friendly to small companies.

Common pitfalls QA

Q: Why is it still blocked after using a proxy?
A: Ninety percent of the reason is not clear cookies or browser fingerprints exposed, it is recommended that each time you switch IP synchronization to change the browser environment

Q: How many IPs are needed to be sufficient?
A: Look at the collection intensity. Ordinary users are recommended to 5-10 IP rotation, the professional team is best 50 +. ipipgo's packages from 20 to 5000 IP are available, new users send 5 test IP

Q: How do I break the CAPTCHA when I encounter it?
A: Don't be hardcore! Suspend immediately for 1-2 hours, change to a new IP and process manually with a real person account. ipipgo's high stash of IPs reduces 80%'s CAPTCHA triggering rate!

put at the end

In the end, LinkedIn data collection is a cat and mouse game. Last week there was a client who fooled around saying that he had gleaned 5,000 pieces of data with a free proxy, only to have his account wiped out the next day. Remember.Specialized tools for specialized tasksThe intelligent routing technology of ipipgo makes every request look like it's coming from a real user, which is the right posture for persistent combat.

A final reminder: don't be greedy! First of all, it is clear which fields you want, company name, position, contact information is enough. Engage in too complex screening conditions but easy to trigger the wind control. Use ipipgo's IP management background, real-time monitoring of the collection status, in order to get the data in the long run.