Buying a residential agent: residential agent buying platform

What is a residential agent? Why do you need it?

Recently, I'm always asked what to do about brushing data and getting IP blocked by websites all the time. This is the time to talk about residential proxies. The biggest difference between this thing and the ordinary server room agent is that - it uses the real home broadband IP, just like your neighbor's Internet address, the site can not tell whether it is a real person or a machine in the operation.

To give you a chestnut, an e-commerce friend wants to monitor the price of competitors, using their own company IP check 20 times in a row, the results were directly blocked. Later, he switched to a residential agent.Show real home IPs from different regions for each requestThe monitoring program has been running for half a month without incident. That's why you have to use a residential agent for data collection and ad verification.

What are the doors to look for when choosing a platform?

Now the market is full of agent service providers, but there are really not many reliable. According to my experience of stepping on pits over the years, I will draw a key point for you:

A special recommendation for ipipgo's residential agents, who have a one-of-a-kind trick up their sleeve--IP survival cycle is 3 times longer than othersI've been working on a long term crawler project for 72 hours. Once I did a long-term crawler project, the same batch of IP actually used a steady 72 hours, which is really rare in the industry.

Hands on with ipipgo!

I'm not going to ramble on about the registration process, but I'll focus on getting the agent how to use it. Here is a Python example code:

import requests

 Proxy information copied from the ipipgo backend
proxy = "123.45.67.89:8888"
username = "your_username"
password = "your_password"

proxies = {
    'http': f'http://{username}:{password}@{proxy}',
    'https': f'http://{username}:{password}@{proxy}'
}

response = requests.get('Target site', proxies=proxies)
print(response.text)

Be careful to putUsername and password spliced into proxy addressipipgo's documentation is written quite clearly, various programming languages have examples, but also supports the dynamic acquisition of IP API, which is particularly friendly to the need to switch a lot of proxy scenarios.

Frequently Asked Questions First Aid Guide

Q：Why can't I connect to the agent I bought?
A: Check the whitelist settings first. ipipgo supports two verification methods: account password and IP whitelist, and newbies are advised to use password verification first. If it doesn't work, contact their customer service right away, the response speed is faster than waiting for takeout.

Q: What's wrong with using up traffic especially fast?
A: 80% is not set to automatically disconnect. Some sites will load hidden resources, remember to set the timeout in the code. ipipgo background can see real-time traffic consumption, it is recommended to turn on the low-flow warning.

Q: What if I need a specific city IP?
A: In the control panel of ipipgo, you can directly select the city, and even down to the carrier. Last time, there was a local life service customer who needed a Unicom IP in a third-tier city, and they actually found it for them.

Don't step on these potholes.

A few final rants of blood and tears:
1. don't try to buy a shared IP pool cheaply, the probability of being blocked is as high as 90%
2. Use several IPs during the test period, some platforms give new users a "special version".
3. Important projects must be selected to be able toProvision of records of useThe service provider, ipipgo, has done a good job of checking IP usage every time.

In the end, choosing a proxy is like looking for a partner, it's useless to just look at the appearance, you have to live a real life. Since using ipipgo, our team no longer need to get up in the middle of the night to deal with the IP blocking crap. Especially their intelligent routing function, can automatically select the fastest line, than manual switching too much worry. Doing data projects now is just like hanging on, don't you think it smells good?