
Why do data sourcing companies need proxy IPs?
Do data purchasing brothers understand that the most headache is the target site blocking IP. let's say you want to catch the e-commerce price data, dozens of visits in a row, the other server immediately give you a blacklist. This time the proxy IP is likecloak of invisibilityIf you have a new "vest" for each visit, you can take as much data as you want.
Ordinary proxy IP is easy to reveal, why? Many websites now detect IPs.Type of operator. With the server room IP (such as Aliyun Tencent cloud) is easy to be recognized, this time you have to use the residential IP - that is, ordinary people's home broadband kind of IP, hidden directly pull full.
Teach you how to pick a proxy IP
Choosing a proxy IP is just like buying fruit, you can't just look at the price. Here is a comparison table for you:
| typology | Applicable Scenarios | ipipgo referral program |
|---|---|---|
| Dynamic Residential | Price monitoring, price comparison system | Standard $7.67/GB |
| Static homes | Account management, social data | 35RMB/IP per month |
| TK Line | Short video data collection | Enterprise Customized Packages |
Here's the kicker.Dynamic Residential IPThe first time I saw this program, I was able to get the information from the real home IP in a different area every time I visited, like ipipgo, which supports automatic switching. there was a real estate data client who used this program to capture 100,000+ listings per day stably, and it ran for three months without any problems.
Practical operation guide
Here is a real case, using Python + ipipgo API to collect data from a life service platform:
import requests
Extract dynamic residential IPs from ipipgo
def get_proxy():
api_url = "https://api.ipipgo.com/get?type=dynamic&count=1"
return requests.get(api_url).json()['data'][0]
Request data with proxy
def fetch_data(url).
proxy = get_proxy()
proxies = {
"http": f "http://{proxy['ip']}:{proxy['port']}",
"https": f "http://{proxy['ip']}:{proxy['port']}"
}
return requests.get(url, proxies=proxies, timeout=10)
Example: Grabbing store rating data
shop_data = fetch_data("https://xxx.com/shop/12345")
Be careful to set theRandom request intervalDon't access it continuously like a machine gun. Suggest adding a time.sleep(random.randint(1,3)) to the code to simulate the rhythm of a real person's operation.
Frequently Asked Questions QA
Q: How do I choose between a dynamic IP and a static IP?
A: need to maintain long-term sessions (such as raising accounts) with static, short and quick data collection with dynamic. Like ipipgo's static residential IP support binding device fingerprints, do social data is particularly stable.
Q: What should I do if I encounter a CAPTCHA?
A: A good proxy IP can reduce the probability of CAPTCHA triggering. If you have to deal with CAPTCHA, it is recommended to pair it with ipipgo'sTK Line, they have some areas where the IP segment pass rate can go above 90%.
Q: Why do you recommend ipipgo?
A: Their residential IPs are solid!Local Operator ResourcesUnlike some service providers who take server room IPs and impersonate them. Previously tested, using their dynamic residential IP for 200 consecutive requests, 0 banning records.
Guide to avoiding the pit
An easy mistake for newbies to make:
1. buy a low-cost package for a cheap price and end up with IPs that are blacklisted
2. did not pay attention to the type of protocol, https site used only support http proxy
3. Forgetting to set a timeout, jamming the entire collection task
It is recommended that you first takeipipgo's Dynamic Residential StandardTest the waters, more than 7 bucks 1G traffic enough to test most of the month. They can also watch real-time consumption in the background, there will be no traffic inexplicably run out.

