Retail Dataset: Industry Sales Data Download

Hands-on with proxy IPs to capture retail data

Friends in the retail industry know that real sales data is a gold mine. However, the anti-climbing mechanism of many platforms is becoming more and more strict, and directly climbing data is like hitting a steel plate with your face. This time you have to use a proxy IP toDecentralized access requestsToday, we're going to talk about how to use ipipgo's services to safely mess with data.

Why do I need a proxy IP?

Let's take a chestnut: a supermarket chain wants to analyze the price of competing products and check the price data 100 times per hour. If you use a fixed IP, it will be blocked in 5 minutes. Using a proxy IP is likechange of armorIf you change your IP address every time you visit, the platform assumes it is a normal user visit.

import requests
from ipipgo import get_proxy call ipipgo's SDK

url = "Data interface for an e-commerce platform"
proxy = get_proxy(type='https') Get random https proxy

response = requests.get(
    url,
    proxies={"https": proxy},
    timeout=10
)
print(response.json())

What are the metrics to look for when choosing a proxy IP?

There are thousands of agency services on the market, but don't step on these three potholes:

1. Don't have a survival rate below 95%(Tests 8 out of 10 IPs to pass)
2. Don't have a response time of more than 3 seconds(Data collection is efficient)
3. Don't provide API management(You can't change the IP manually, can you?)

Like ipipgo's.Dynamic Residential AgentsIt is more reliable, the measured survival rate of 97%, the response is basically done in 1.8 seconds. Their IP pool is updated daily 20%, not easy to be blacklisted by the platform.

A practical guide to avoiding the pit

I recently realized this while helping a mom and pop brand grab data:

1. Frequency of visits to besimulate a real person(random intervals of 3-8 seconds)
2. Remember to add User-Agent rotation
3. Use of key dataLong-lasting static IP(ipipgo's exclusive IP package)

Frequently Asked Questions QA

Q: What should I do if I can't connect to the proxy IP often?
A: ipipgo's recommendedIntelligent switching modeThe first step is to automatically exclude the failed nodes. Encountered three consecutive failures automatically change IP, pro-measure can save 30% time

Q: What should I do if my data requests are always intercepted?
A: Two great tips: ① use their homeHigh Stash Agents ② Add X-Forwarded-For parameter in the request header.

Data Cleansing Tips

Don't wait to use the data when you get it. Do it first.Triple filtration::
1. Elimination of duplicate records (especially when collecting across IPs)
2. Verifying timestamp continuity
3. Compare the results of multiple IP captures and take the median value

Last time I used ipipgo's API with pandas to do cleansing, I processed 100,000 pieces of data in 2 hours. Remember to use theirIP Geographic FilteringFunctions, such as specializing in Shanghai IP to capture regional sales data, the accuracy rate can be raised 15% or so.

When it comes to data, the right tools are twice as effective. Don't save money on the basics, a good proxy IP service is like aInvisible Data PipelinesThe probability of the crawler being blocked has dropped from 50% to less than 3% after ipipgo has been used for a little over half a year. Newbies are advised to use them firstpay-per-use packageThe cost is manageable without stepping on potholes.