
Why do I need a proxy IP for Amazon price monitoring?
The old drivers who do price monitoring understand that the Amazon anti-climbing mechanism is stricter than the Spring Festival security check. The same IP frequently request commodity page, light flow restriction, heavy seal. At this time, the proxy IP is likecloak of invisibility, making the server think that each visit is a real user from a different region. To put it bluntly.Check the price in turn with different IPs, which is both safe and allows for accurate data.
Do-it-yourself monitoring tools
Getting a basic version of the monitoring script is actually not difficult, the key is to handle the proxy IP switch. Here's a chestnut in Python:
import requests
from random import choice
Proxy pool from ipipgo (with your own API address)
proxies = [
"http://用户名:密码@gateway.ipipgo.com:8000",
"http://用户名:密码@gateway.ipipgo.com:8001".
... More IPs
]
def check_price(asin): url = f"{asin}
url = f "https://www.amazon.com/dp/{asin}"
try: response = requests.get(url, url, asin})
response = requests.get(url,
proxies={"http": choice(proxies)},
headers={"User-Agent": "Mozilla/5.0"}
)
Add the price parsing logic here
return price
except Exception as e.
print("Crawl failed:", e)
Watch out for potholes.The IPs have long been blacked out by Amazon. It is recommended to use ipipgo this kind of professional services, their IP pool updated every day tens of thousands of addresses, pro-measurement of the survival rate can be 92% or more.
Proxy IP Selection
There are a variety of agency services on the market, focus on these 3 indicators:
| norm | compliance line | ipipgo data |
|---|---|---|
| Number of IPs | >5000 | Daily average of 2w+ |
| responsiveness | <2 seconds | 1.3 seconds |
| geographic location | >20 countries | Support for 50+ countries |
Focusing on geographic location - Amazon prices in different areas can differ by a shipping money. For example, use a US IP to check the local price and a Japanese IP to check the Nippon price, so that you get the real lowest price.
A practical guide to avoiding the pit
I stepped on a mine last year when I was helping a friend with toy category monitoring:
- Don't be greedy with the frequency of requests, it is recommended to check every 5 minutes with a random number ± 30 seconds intervals
- User-Agent should be rotated, do not always use the same browser logo
- Don't be hard on CAPTCHA, change ipipgo's residential proxy IP to bypass it!
Frequently Asked Questions QA
Q:What should I do if my monitoring program is blocked by IP while running?
A: eighty percent of the proxy quality is not good, change ipipgo's exclusive IP pool, each IP has an independent authentication, not easy to be associated.
Q: What if I need to monitor multiple country sites?
A: ipipgo supports filtering IPs by country, for example, check amazon.co.jp with Tokyo server room IP, check amazon.de with Frankfurt node.
Q: How do I set up an alert for frequent price fluctuations?
A: Recommended settingstaircase threshold, such as lower than the 30-day minimum price of 5% to send an email, low 10% to send a text message, with ipipgo's API to get the latest IP in real time.
Monitoring Program Upgrade Recommendations
Remember to add these features if you're doing a commercial grade surveillance system:
- Automatic switching of API endpoints (ipipgo provides 20 access points)
- Automatic retry mechanism for failed requests
- Visualization of historical price data (super intuitive with line charts to see trends)
The last nagging sentence: don't save money on the proxy IP, a good service provider can double the success rate of the project. Used seven or eight agents, ipipgo in the e-commerce data collection this piece is indeed stable, mainly because their family has a specialized Amazon anti-blocking strategy, know all understand.

