Amazon Sales Dataset: Product History Data

How important are proxy IPs in Amazon data collection?

Recently, I met a few friends who are doing cross-border e-commerce are complaining:"Trying to check the historical price fluctuations of a competitor, just grabbed two pages of data and the account was blocked"The first thing I'd like to say is that Amazon is not to be blamed for this. I can't really blame Amazon for this, but if we don't know how to use the technology, we're going to run into a lot of trouble.

To cite a real case, a seller wants to analyze the annual promotion law of a certain Bluetooth headset, manual record is too laborious, wrote a crawler script. As a result, three consecutive days of access was detected anomalies, the store account was almost restricted from logging in. Later, he used a dynamic proxy IP pool with random access intervals to successfully get the annual data.

Data collection of the four major rollover sites

According to the statistics of our ipipgo technical team, 90% collection failures are planted in these pits:

Teach you to build a collection system by hand

Here to share a practical program, using Python + ipipgo proxy service, low cost and quick results:

import requests
from time import sleep
from random import randint

def get_product_data(asin):
    proxies = {
        'http': 'http://user:pass@gateway.ipipgo.com:8080', 'https': 'http://user:pass@gateway.ipipgo.com:8080'
        'https': 'https://user:pass@gateway.ipipgo.com:8080'
    }
    headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'}

    try: response = requests.get()
        response = requests.get(
            f'https://www.amazon.com/dp/{asin}',
            proxies=proxies,
            headers=headers,
            timeout=15
        )
        sleep(randint(3,8)) Randomize the wait duration
        return response.text
    except Exception as e: print(f "Capture failed: {str(e)}")
        print(f "Capture failed: {str(e)}")

Notice two key points here:Proxy IPs must be residential-grade dynamic IPsThe server room IP is recognized in minutes. ipipgo'sIntelligent Rotation ModelIt can automatically switch residential IPs in different areas, and it has been personally tested to collect continuously for 12 hours without overturning.

A must-see anti-blocking guide for beginners

Three common mistakes newbies make:

1. Thought free proxies would work (99% are blacklisted IPs)
2. Gathering with Internet access tools on (IP address exposes nationality)
3. Scripts without random delays (mechanical access is clearly characterized)

It is recommended to pay attention to these three points when configuring the parameters:

Request interval = random 5-15 seconds
Timeout time ≤20 seconds
Single IP usage time ≤ 30 minutes

QA Time: Frequently asked questions and answers

Q: Do I have to use a proxy IP to collect data?
A: Small-scale manual query can not be used, but automated collection must be on the agent. Just like walking on a rainy day does not need a raincoat, but riding an electric bicycle must wear a reason.

Q: Why do you recommend ipipgo?
A: There are two things about his house that make it particularly suitable for e-commerce scenarios: one is that theDedicated IP pool without duplicationTwo.Supports export IP selection by city. For example, if you want to get price data for different states in the U.S., you can pinpoint the IP of homes in specific cities such as Los Angeles and New York.

Q: How do I salvage after being banned?
A: Stop the collection immediately and replace the full set of IP and device fingerprints. Use ipipgo'sDeep cleaning modeThis is equivalent to the "Resurrection Armor" function in the game, which automatically replaces the device and network environment with a new one.

As a final reminder, data collection is about"Slow is fast.". Instead of pursuing instant data, it is better to get long-term trend steadily. Use the proxy IP as a "cloak of invisibility", with the collection strategy, in order to safely and efficiently get the desired product history data.