
Why do I have to use a proxy IP for price monitoring?
If you have done the price comparison system, you know that it is easy to crawl the data directly and get the IP blocked. last month, a friend who is an e-commerce company complained that their team used their own office network to crawl the data, and as a result, the whole company network was blacked out the next day by the target website. At this time, if the proxy IP rotation crawl, like each operation set a layer of "invisibility cloak", do not have to worry about exposing the real address.
Take a real example: a certain cell phone in platform A sells 2999, platform B price 2899, but the actual point to find the price into 3050. this page shows the price and the settlement price is inconsistent with the situation, you have to rely on the proxy IP simulation of the real user behavior to capture the complete data flow.
import requests
from bs4 import BeautifulSoup
proxies = {
'http': 'http://username:password@gateway.ipipgo.com:9020',
'https': 'http://username:password@gateway.ipipgo.com:9020'
}
response = requests.get('Target product link', proxies=proxies)
soup = BeautifulSoup(response.text, 'html.parser')
Here you can grab the page price and checkout interface data for comparison
Three Tips for Choosing the Right Type of Agent
There are all kinds of proxy IPs on the market, and choosing the wrong type may cost you money for nothing. Based on our experience in doing programs for customers, we have compiled a practical comparison table:
| business scenario | Recommendation Type | Why is that appropriate? |
|---|---|---|
| High frequency price comparison (>10,000 times per day) | Dynamic Residential (Enterprise Edition) | The $9.47/GB traffic fee is more cost-effective than IP blocking losses |
| Long-term monitoring of fixed commodities | Static Residential IP | Fixed IP for $35/month is more stable |
| Cross-Border Merchandise Monitoring | cross-border rail line | Direct connection to overseas servers with lower latency |
Hands-on program hands-on
Here to share a real case configuration: a price comparison platform needs to monitor 5000 SKUs and collect price data 3 times a day. With ipipgo's Dynamic Residential Enterprise Edition package, configured with 20 concurrent threads, the monthly cost control is about 800 dollars.
Key Setting Points:
1. Setting the frequency of automatic IP switching (it is recommended to change the IP every 50 requests)
2. Add UA randomization module
3. Early warning of unusual price fluctuations set (exceeding historical average price of 20% triggers manual review)
Pseudo-code for detecting price exceptions
def price_alert(current_price):
avg_price = get_30day_avg()
threshold = avg_price 1.2
if current_price > threshold.
send_alert_email()
elif current_price < avg_price 0.8.
send_alert_email()
Frequently Asked Questions
Q: Price data is captured but always inaccurate?
A: 80% is not dealt with page dynamic loading, it is recommended to use a crawler tool with JS rendering, or directly call the internal API of the target site
Q: Proxy IP slows down when I use it?
A:Maybe the IP is limited speed, in the background of ipipgo there is a "speed change" function, set the automatic switching delay more than 500ms node.
Q: Monitor for price reductions but no actual discounts?
A: pay attention to the location of the crawl page elements, some sites will be discounted price and scratch price to do dynamic replacement, need to crawl multiple DOM nodes at the same time
Why do you recommend ipipgo?
Used more than three years of the old user to say a few words of truth, his family has two particularly real: one is the API response speed is stable within 200ms, the second is the customer service can really solve the problem. Last week we had a cross-border e-commerce project that needed a Turkish residential IP, and we were able to coordinate resources on the same day.
For teams just starting out, it is recommended to pickDynamic Residential StandardThe $7.67/GB is enough to support the initial demand. When the business volume comes up, you can seamlessly switch to the enterprise version of the package, without having to re-tune the interface.
Finally remind a detail: do not do price tracking cheap with free agents, we have suffered a loss - a certain time to catch the price data is all garbled, and later found that the free agent in the middle of the tampered with the data. Professional things or to professional tools reliable.

