E-commerce Product Data: Price Watch Dataset

Why is price monitoring always pulled by e-commerce platforms? Maybe the IP is exposed

Anyone who does e-commerce data collection knows that the biggest headache when monitoring competitor prices is thebounceThe other day, a customer doing mother and child supplies complained to me that they used their own company network to catch the data of a platform, just three days IP was permanently blocked. A few days ago there is a mother and baby products customers and I complained, they use their own company network to catch a platform data, just catch three days IP was permanently banned, even with the company's official website can not open the platform.

Here is a misunderstanding: many people think that as long as you control the collection frequency is safe. In fact, the platform wind control system now thieves fine, will comprehensively determine the IP'saccess trackThe same IP will visit Beijing women's clothing stores and view Sanya diving equipment, for example. For example, the same IP both visit the Beijing women's store and view the Sanya diving equipment, this cross-region, cross-category access behavior immediately exposed.

Dynamic IP Pooling is the Key to Breaking the Mold

We've tested grabbing data with normal proxy IPs, and less than 3 out of 10 IPs can live for more than 24 hours. Later, we switched toDynamic residential IP for ipipgoThe survival rate shoots right up to over 80%. The doorway here is:

import requests
from itertools import cycle

ip_pool = ipipgo.get_proxy_pool(type='residential') get residential ip pool
proxies = cycle(ip_pool)

for page in range(1, 100): current_proxy = next(proxies)
    current_proxy = next(proxies)
    try.
        res = requests.get(url, proxies={'http': current_proxy}, timeout=10)
         Processing data...
    except.
        ipipgo.report_failure(current_proxy) Real-time feedback on failed IPs

There are two key points in this code: 1. rotate IPs in a round-robin fashion 2. report failed IPs in real time. ipipgo's services have a benefit in that theyIP pool updated once every 5 minutes, much more reliable than the ones on the market that change batches in a few hours.

Pitfalls in the real world

Let's talk about a real case: a customer used a free proxy to monitor prices, and the data captured was mixed up.Fake prices for platform anti-crawlersthat caused them to misjudge the market conditions and the promotions flopped all over the place. Later switched to ipipgo'sHigh Stash IP, data accuracy improved from 67% to 98%.

Here to teach you a small trick to detect whether the IP is exposed or not: visit https://httpbin.org/ip If the returned IP is not consistent with the proxy IP you use, it means that the proxy is not effective. It is recommended to add this detection link in the code to avoid naked collection.

Frequently Asked Questions QA

Q: Do I have to use a paid proxy? Not the free ones?
A: The average survival time of free agents is less than 2 hours, and many of them are data center IPs, and the e-commerce platform is a catch. ipipgo has recently been doing activities to send 1G of traffic to new users, and it is recommended that you try it first before deciding.

Q: How exactly is the acquisition frequency controlled?
A: Different platforms have different wind control strengths. Our experience is: when using ipipgo's IP pool, a single IP is no more than 3 requests per minute, and the IP is automatically switched every hour. when encountering CAPTCHA, immediately deactivate the current IP, and don't head iron hard just.

Q: How do I clean the data when I grab it back?
A: Focus on the price unit (some platforms show ¥, actual settlement in USD), package price, and full discount activities. Suggest using ipipgo'sgeo-targeted IPFor example, specializing in Shanghai IP collection of Shanghai warehouse goods to avoid shipping calculation errors.

What indicators to look for when choosing an agency service

There are all sorts of agency services on the market, so here are three core metrics:

1. IP purity: See if the IP has been tagged by mainstream platforms. ipipgo updates the 30%IP pool weekly to ensure cleanliness
2. responsiveness: Slow loading of e-commerce pages can cause the price element to fail to crawl. The median response time of ipipgo was measured to be around 800ms
3. After-sales support: There is no technical support for problems. Last time we had a customer triggered the platform verification at 3:00 a.m., ipipgo's engineers actually returned the solution in seconds!

Lastly, don't use a proxy IP in the account login session! Recently, a large factory blocked a batch of seller accounts because the login IP suddenly jumped from Henan to Guangdong. Suggestions for data collection and account operationSeparate network environmentsIt's a lesson in blood and tears.