
First, why does e-commerce SKU monitoring have to use proxy IP?
Have done e-commerce data crawl old iron know, the platform's anti-climbing mechanism is more strict than the cell access control. The same IP frequently request commodity page, light pop-up CAPTCHA, heavy direct seal. Especially to monitor SKU inventory, price, such a need toHigh Frequency RefreshThe operation of using your own home broadband is the equivalent of driving a tractor through a highway toll booth.
To cite a real case: an apparel e-commerce team used a fixed IP to capture data 20 times per hour, and was recognized by the platform on the third day. After changing to use ipipgo's dynamic residential agent, it has not triggered the wind control for 15 consecutive days of monitoring. Here is a key point -Real Life Behavioral SimulationThe proxy IP allows you to browse the page like a real buyer in a different region.
Ordinary Crawler Requests (High Risk)
requests.get("https://xxx.com/sku/12345")
The correct posture for using proxy IPs
proxies = {
'http': 'http://user:pass@gateway.ipipgo.io:9000',
'https': 'http://user:pass@gateway.ipipgo.io:9000'
}
requests.get("https://xxx.com/sku/12345", proxies=proxies, timeout=5)
Two, three steps to build SKU monitoring system
Step 1: Choose the right type of agent
| Agent Type | Applicable Scenarios | ipipgo referral program |
|---|---|---|
| Data Center Agents | Price monitoring | Short-acting package (5-minute change) |
| Residential Agents | Inventory Monitoring | Dynamic Rotation Package |
| Mobile Agent | rush hour scene | 4G/5G Dedicated Channel |
Step 2: Request frequency should be as natural as breathing
Never set a fixed interval! A random delay is recommended:
import random
import time
def random_delay(): time.sleep(random.uniform(1.5, 4.8))
time.sleep(random.uniform(1.5, 4.8)) randomly wait 1.5~4.8 seconds
Step 3: Be resourceful enough to handle exceptions
Switch IPs immediately when you encounter a 403 status code, don't die. Use ipipgo's API for second switching:
from ipipgo_sdk import IPPool
ip_pool = IPPool(api_key="your_key")
current_proxy = ip_pool.get_proxy(region="us") specify region to get
III. Guide to avoiding the pit (blood and tears experience)
1. Don't be lazy, User-Agent.: Prepare at least 200 browser fingerprint rotations
2. Don't believe in free agents.: Last year a colleague used a free proxy and monitored all the wrong SKU prices!
3. Watch out for traffic consumption: Monitoring a SKU page consumes about 500KB/time, choose ipipgo unlimited traffic package is more cost-effective!
Fourth, the actual QA big giveaway
Q: How many proxy IPs are needed to monitor 100 SKUs?
A: It is recommended that 300 IPs be rotated in a 1:3 ratio. ipipgo's dynamic packages support 500 concurrent requests.
Q: What should I do if I encounter a CAPTCHA?
A: Suspend the IP immediately and call ipipgo's replacement interface. It is recommended to use with the coding platform
Q: What do I need to know about data storage?
A: Timestamp + IP attribution must be recorded, later analyze the banning law is super useful!
V. Why do you recommend ipipgo?
Real-world comparison data:
- Success Rate: Self-built Proxy Pool 72% vs ipipgo 98%
- Response time: other providers average 800ms vs ipipgo 220ms
- Exclusive function: support the selection of optimized routes by e-commerce platform (a treasure / a East special channel)
theirIntelligent RoutingIt does have two brushes to automatically circumvent recently blocked ASN numbers. During the last promotion to monitor 5000+ SKUs, the blocking rate was controlled below 0.3%.
Sixth, the ultimate anti-sealing oracle
Remember the mnemonic:IP should be like scum, change it diligently without entanglement.. Work with these tips:
1. Increase in 30%IP usage from 20:00-23:00 daily (to simulate evening peak)
2. Weekly replacement of the User-Agent library version
3. Analyze IP usage reports on a monthly basis and adjust regional distribution
Lastly, don't use the local IP where the server is located! For example, if the server is in Hangzhou, don't use the proxy IP of Zhejiang, which details many people to fall in.

