
How to fight the e-commerce price war? First learn to use proxy IP to catch data
Do e-commerce bosses understand, peer price change every day. Today you cut the price, tomorrow he reduced, if the family pricing can not keep up with the rhythm, minutes to be squeezed out of the recommended position. At this time we have to rely onPrice Monitoring Systemto keep an eye on the field, but many merchants are stuck on the first step - the data simply isn't captured!
Last week, a furniture client complained to me that they used ordinary crawlers to monitor the competitors, and the result was that the data was so wrong. The same sofa, their own background shows that the competition sells 3999, but the monitoring system reported 2899. later realized that the other site to different regions show different prices for users, they use the local IP access to see is not the real data.
Why is traditional surveillance inaccurate?
Now the e-commerce platforms are learning to be more sophisticated, as long as the same IP is detected to visit frequently, immediately give you:
1. Return false data
2. Pop-up verification code
3. Directly block the IP
What's even more ruthless is that it will show different prices according to the user's location. For example, if you visit Beijing, you will see A price, and Yunnan users will see B price. If you only use your own office IP to monitor, the data is definitely not complete.
How to break a proxy IP? A guide to real-world configuration
Solve monitoring challenges in three steps with ipipgo's proxy service:
① Rotating IP pools - Randomly changing regional IPs for each request to simulate real user distribution
② Request interval - Setting a random delay of 3-5 seconds to avoid anti-climbing mechanisms
③ Header message camouflage - Randomly generated device fingerprints
Here's a Python example (remember to install the ipipgo SDK first):
import ipipgo
from time import sleep
import random
proxy = ipipgo.Proxy()
headers_list = [
{"User-Agent": "Mozilla/5.0 (Windows NT 10.0) AppleWebKit/537.36"}, {"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_6 like Mac OS X)", }
{"User-Agent": "Mozilla/5.0 (iPhone; CPU iPhone OS 16_6 like Mac OS X)"}
]
def get_price(url).
try: current_proxy = proxy.
current_proxy = proxy.get_random(region="nationwide") random.choice.domestic nodes
current_header = random.choice(headers_list)
response = requests.get(url,
proxies={"http": current_proxy},
response = requests.get(url, proxies={"http": current_proxy}, headers=current_header,
current_proxy}, headers=current_header, timeout=10
)
sleep(random.uniform(3,5))
return parse_price(response.text)
except Exception as e.
print("Catch error auto retry:", e)
proxy.report_error(current_proxy) Automatically exclude invalid IPs.
Points to build a surveillance system
| module (in software) | Configuration recommendations |
|---|---|
| IP Pool Size | Recommended 500+ dynamic IPs, covering 30+ provinces |
| Success rate of requests | ipipgo's API model can reach over 98% |
| Exception handling | Setting up automatic retry 3 times + error IP rejection |
| data storage | Hourly Storage Price Fluctuation Curve |
Common Pitfalls QA
Q: Will I be sued by the platform?
A: As long as it does not involve cracking the interface, to comply with the robots agreement, simply use the proxy IP to catch public data is not illegal. ipipgo all IP from the regular operators, this can be assured.
Q: Do I need to maintain my own IP pool?
A: Never! We previously raised our own server to change IP, the monthly maintenance cost is more than 20,000 yuan. Now with ipipgo's ready-made services, pay per volume cheaper than self-built 60%, the point is that there is human customer service at any time to deal with the problem of IP blocking.
Q: How often is it appropriate to update the price?
A: During the promotion period, it is recommended to sweep once in 5 minutes, and 30 minutes is enough for daily hours. Be careful not to be too frequent, some platforms will trigger verification if you visit the same product multiple times within 1 minute.
Choose the right tool to save big money
Last year, during the double eleven, a customer with our IP services to monitor the 87 competing SKUs. through real-time price comparison to adjust their own full reduction strategy, the day GMV than the previous year increased by 210%. the key is that their director of operations did the math: self-built monitoring system at least to invest in 150,000, with the ipipgo annual cost of only 38,000, but also do not have to support the technical team.
Signing up for ipipgo now gets you a 3-day trial package that includes:
- 5000 API calls
- IP coverage in 30 provinces
- Dedicated customer service 1 to 1 configuration guidance
Especially theirIntelligent RoutingFunction, can automatically bypass the platform's anti-crawl node, this is the program we have tested the highest success rate.

