Proxy IP Alternative Data Source: Alternative Data Source Proxy Collection

How can proxy IPs help us solve the data collection problem?

Recently an e-commerce friends and I complained that he spent a lot of money to buy the crawler program every now and then on the blocked IP. I gave him a trick - with a dynamic residential proxy IP rotation collection, the results of the past two months and then no problem. There is actually a doorway here:The most feared thing about data source collection is not the technical threshold, but the pattern recognized by the target websiteThe

Traditional data source collection is like using the same face to enter and exit the neighborhood repeatedly, the security guard will sooner or later become suspicious. Proxy IP is equivalent to change the disguise at any time, especially like ipipgo such as can provide more than 200 countries local operator resources service providers, directly let the collection behavior becomes as natural as ordinary user access.

Three strokes to eat through the proxy IP practical skills

The first move: move and play together

Dynamic residential IPs are suitable for scenarios that require high-frequency switching, such as price comparison sites that capture price data dozens of times per minute. If you need to log in to the state of the collection task, you have to use static residential IP to keep the session stable. ipipgo's static package of 35 yuan an IP with a whole month, much cheaper than buying a separate server.

import requests

 Example of a dynamic residential proxy using ipipgo
proxy = {
    "http": "http://username:password@gateway.ipipgo.com:9020",
    "https": "http://username:password@gateway.ipipgo.com:9020"
}

response = requests.get("Target site URL", proxies=proxy, timeout=10)
print(response.text)

Tip #2: There are protocols to choose from

Tip #3: Be geographically precise
When doing localization service collection, don't use US IP to catch Japanese website data. ipipgo's TK dedicated line can control the latency within 50ms, which is more than 3 times faster than ordinary lines.

Real-life examples teach you to choose a package

I was helping a friend's company with their selection last week and they were collecting 100,000 pieces of data per day. It was calculated that the Dynamic Residential Enterprise Edition package was the most cost-effective:

• Dynamic Standard Edition: $7.67/GB × 150GB ≈ $1150
• Dynamic Enterprise: $9.47/GB × 80GB ≈ $758

Why is the expensive package more economical? Because the IP quality of Enterprise Edition is higher, the success rate of data collection is increased from 60% to 92%, and the actual usage is reduced instead.

Frequently Asked Questions for Beginners

Q: Dynamic and static IP in the end what is the difference?
A: Dynamic IP is automatically replaced every hour, suitable for large-scale collection; static IP is fixed, suitable for the need to maintain the login state of the scenario

Q: How to control the collection frequency without being easily blocked?
A: three key points: ① each time you switch to a new IP random delay of 3-8 seconds ② weekdays and weekends to set up a different collection period ③ monthly replacement of IP segments

Q: What is the most convenient way to operate API extraction?
A: ipipgo's background can directly generate the proxy link with authentication, replace the proxy parameter in the code with this link can be used, there is no need to maintain their own IP pool!

Don't step on these potholes.

1. Don't buy black market IPs for cheap, last year a customer used a pirated proxy which led to the implantation of Trojan horse on the server.
2. collect sensitive data remember to add the request header camouflage, User-Agent do not bring python words
3. Important projects must buy exclusive IP pool, shared IP said to block no negotiation!

When it comes to proxy IPs, it's really not a matter of buying a package and calling it a day. Like ipipgo can provide customized solutions to reliable, their technical customer service last time to help me optimize the collection strategy, directly to the data parsing speed increased by 40%. sometimes professional things or have to look for professional people to do.