IPIPGO ip proxy Amazon dataset: Amazon merchandise data

Amazon dataset: Amazon merchandise data

When the crawler meets Amazon commodity data, you may lack more than just technology Doing e-commerce friends should understand how difficult it is to get Amazon commodity data. Commodity details, price fluctuations, user reviews ... these data look tempting, but when you really crawl, nine out of ten will be blocked IP. last month ...

Amazon dataset: Amazon merchandise data

When crawlers meet Amazon merchandise data, you may be missing more than just technology

Doing e-commerce friends should understand, want to get Amazon's commodity data how difficult. Commodity details, price fluctuations, user reviews ... these data look tempting, but really hands-on capture, nine out of ten will be blocked IP. last month there is a competitor analysis of the old man, wrote his own crawler ran three days, the results of even the account with the IP was blacked out, so angry that almost smashed the keyboard.

At this time the proxy IP will come in handy. But the proxy services on the market are uneven, some claim to be dynamic IP, use than snail slow; some static IP is stable, the result of two days to be recognized by Amazon as a robot. Here must be Amway under our own productsipipgo, specifically optimized for e-commerce data capture scenarios, later will specifically say how to use.

Practical: use proxy IP to catch the data does not turn over the car guide

Let's start with a snippet of Python code, which is the most basic crawler configuration:


import requests
from itertools import cycle

 List of proxies provided by ipipgo (dynamic residential IP pool)
proxy_list = [
    '12.34.56.78:8000',
    '23.45.67.89:8000',
    '34.56.78.90:8000'
]
proxy_pool = cycle(proxy_list)

url = 'https://www.amazon.com/dp/B08J5F3G18'
headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64)'}

for _ in range(5): proxy = next(proxy_pool)
    proxy = next(proxy_pool)
    try: response = requests.get(url)
        response = requests.get(url,
                              proxies={"http": proxy, "https": proxy},
                              headers=headers,
                              timeout=10)
        print(f "Successfully fetched data, using proxy: {proxy}")
        break
    except.
        print(f "Proxy {proxy} failed, automatically switching to the next one")

The code looks simple, but hides three potholes:

1. Lack of IP purity: Many proxy IPs have long been flagged by Amazon, and access with such IPs triggers verification directly
2. Incorrect switching frequency: page load intervals are too regular to be easily recognized
3. Request header not disguised: Changing the IP address without changing the browser fingerprints will still reveal your identity.

expense or outlayipipgoIt is recommended to turn on their Smart Routing feature. This feature automatically detects IP availability and switches automatically when it encounters a validation page, which is much more hassle-free than rotating manually.

Which proxy solution to choose for different data needs

data type proposed program ipipgo configuration tips
Real-time price monitoring Dynamic Residential IP Enable IP auto-refresh, set 5-10 minutes replacement cycle
Bulk Product Details Static Data Center IP Binding fixed IP whitelisting with slow crawl mode
User Comment Capture Mobile IP Pool Enable UA emulation for mobile devices with a limit of 500 entries per hour

Real case: how an e-commerce company saved $200,000 with ipipgo

A cross-border e-commerce company in Hangzhou, previously used a foreign agent services, burning more than 30,000 per month, but also the old lost data. It switched toipipgoafter the customized program:

1. Proprietary API interface: Directly interface with their crawler system to save IP maintenance time
2. Regional orientation function: Accurate access to data from different sites in the U.S. and Europe
3. Failure to retry mechanism:: Automatic retry of failed requests, data integrity rate mentioned 98%

Now that they are steadily grabbing 100,000+ product data per day, they have more confidence in engaging in pricing strategies.

Five must-see pitfall-avoidance questions and answers for the youngster

Q: Why do I still get blocked even if I use a proxy IP?
A: Ninety percent are IP quality issues. It is recommended to set the IP quality in theipipgoIP health detection is enabled in the background to automatically filter out IPs with purity below 90%.

Q: What should the crawl speed be controlled at?
A: Don't exceed normal human browsing speeds. Useipipgo的速率限制功能,设置3-5秒/次的随机。

Q: What should I do if I encounter a CAPTCHA?
A: Don't fight hard! Immediately switch IPs. inipipgoYou can save a lot of work by setting up an automatic IP change when you encounter a CAPTCHA in the rules engine of the CAPTCHA.

Q: Do I need to maintain my own IP pool?
A: Not at all.ipipgoThe IP pool of 15% is automatically updated every day, and the background can also see the usage records of each IP.

Q: What about large amounts of data?
A: ContactipipgoTechnical support to open a distributed collection channel, they have done for a large factory to handle ten million requests a day program.

Finally, to tell the truth, to engage in data collection this thing, tools account for seventy percent, strategy accounts for thirty percent. Choose the right agent service provider can really take a lot less detours, after all, who do not want to stay up all night to change the code, right?

我们的产品仅支持在境外网络环境下使用(除TikTok专线外),用户使用IPIPGO从事的任何行为均不代表IPIPGO的意志和观点,IPIPGO不承担任何法律责任。

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