ZooProxy

How to know Apple's next price rise? Use home IPs for data

Alex

2026-06-28 16:00

On June 25, 2026, Apple made a large-scale price adjustment. The MacBook Pro increased by 2,500 yuan, the iPad Pro increased by 1,800 yuan, and the Mac Studio increased by 3,500 yuan. This was the largest apple price increase​ in recent years.

Many people are paying attention to the price changes of Apple products. Ordinary consumers want to place orders before the price increase. Second-hand merchants need to adjust their inventory strategies. Digital enthusiasts also want to know Apple’s pricing rules. If there is a tool that can detect price changes immediately, it can help us make faster decisions.

What is a Residential IP? Why do we need it?

Many people use data collection for prices, but often encounter problems. If the same IP address is accessed too many times, the website will trigger a verification code or directly reject the access.

The core of the problem is actually very simple: The website wants to distinguish whether you are a real person or a machine. If your access does not look like that of a normal user, it will be blocked.

The Residential IP is used to solve this problem. It comes from the home broadband network. When the website sees this IP, it will assume that it is an ordinary person surfing the internet.

The Residential IP has the following advantages:

The data obtained is more accurate. The Residential IP can see the same content as local users, and the data will not have deviations.

It is less likely to be blocked. The Residential IP comes from various home networks across different regions, and the source is dispersed. The website is very aware of this.

It can be changed by region. It supports multiple countries and regions around the world, and can obtain local prices in different regions.

If you use the IP from a data center, you will be easily identified. The Residential IP is much safer.

How does this set of tools work?

The entire tool is divided into four parts:

  1. Network part: The residential IP address pool is responsible for switching your network environment.
  2. Collection part: Use scripts to collect the product prices at regular intervals.
  3. Storage part: Store each collected price in the database or table.
  4. Analysis part: Analyze the price changes and notify you if there is a price increase.

Preparations before the start

Step 1: Select a residential IP service provider

There are many options available on the market. When making a choice, you can consider the following points:

Is the IP quantity sufficient? The wider the coverage area, the better. Zooproxy has a high coverage rate and is supported in multiple countries and regions.

How is the charging? Charging by traffic is more suitable for monitoring scripts. Charging by IP quantity is suitable for large-scale concurrency.

Dynamic or static. For price monitoring, dynamic residential IPs are recommended. Each request will automatically change the IP, making it less likely to be detected. If you need to maintain the login status, choose the static one.

Reasons for choosing Zooproxy

Pure and reliable: Home or enterprise IP, consistent with the internet access of ordinary users. The platform is identified as a normal user, significantly reducing risks.

The resources are extensive: a large and continuously updated pool of residential IPs, covering major cities in various countries and regions.

Stable and efficient, with outstanding performance: High-quality home broadband, featuring high speed, low latency, and few packet losses. Capable of smoothly handling high-concurrency data collection and shortening project cycles.

Flexible and easy to use, with rapid integration: Supports HTTP/HTTPS/SOCKS5 protocols, compatible with mainstream languages and tools. The configuration can be completed in just a few minutes.

Step 2: Prepare the running environment

You need a computer that can be on 24 hours a day, or a cloud server. Then install the Python environment and several commonly used libraries, such as the network request library and the web parsing library. There are ready-made installation tutorials for these on the internet.

How to implement the price scraping logic

The entire collection process can be designed as follows:

First of all, you need to list the links of the products you want to monitor. These can be the product pages on Apple’s official website, or the pages on the e-commerce platform.

Then, write a collection function. This function will send a network request through the residential IP, obtain the web page content, and then extract the price figures from it. The price labels on different websites are different, so you need to manually check the web page source code to find the position corresponding to the price.

Next, set up a loop. At regular intervals (every few minutes or hours), visit these links one by one and retrieve the prices.

In order to ensure a more stable collection, there are several points you need to pay attention to:

Wait at least a few seconds between each request. Don’t be in a hurry.
The waiting time can vary randomly. Don’t make it the same every time.
For each request, you can change the browser identifier or configure the fingerprint device.
If you are using a dynamic residential IP, the service provider will automatically change your IP address for you. If you are controlling it yourself, change it every 10 to 20 requests.

There is a special feature on the Apple website. The price information might be dynamically loaded through JavaScript. Ordinary direct collection might not be able to obtain the complete content. At this time, there are two solutions: one is to use the method of changing the browser, and the other is to use the dedicated collection channel provided by professional service providers. They usually have already handled these technical details.

How to save and analyze prices

Each collected price can be saved in a table file in chronological order. Each row of the record includes the time, the name of the product and the price.

After accumulating data for some time, you will be able to conduct trend analysis. For instance, you can calculate the average price over the past seven days, and then observe whether there is a significant difference between the latest price and the average price. If the increase exceeds a certain percentage, an alert can be triggered.

There are various ways to give reminders. You can set it to send emails, or use the robot on Enterprise WeChat or DingTalk to send messages. In this way, you don’t need to keep staring at the screen. When the price changes, the system will automatically notify you.

What can this set of tools do for you?

In light of the recent price increase by Apple, this set of tools can assist you with:

  • Know about the price increase in advance. Continuously monitor the official website. Once the price changes, you will be informed.
  • Compare prices in different regions. Use residential IPs from different countries to see how much the same product is sold for in different places.
  • Understand the pattern of price increases. Accumulate data over a period of time, and you will be able to identify Apple’s price adjustment cycle and extent.

The current situation is as follows:

  • The price of MacBook Neo has increased from 4,599 yuan to 5,499 yuan.
  • The price of MacBook Air has risen from 8,499 yuan to 9,999 yuan.
  • The price of the 14-inch MacBook Pro has gone up from 13,499 yuan to 15,999 yuan.
  • The price of the basic model of iPad has increased from 2,999 yuan to 3,799 yuan.
  • The price of iPad Air has gone up from 4,799 yuan to 5,999 yuan.
  • The price of the iPhone has not changed yet, but Apple has said that it might adjust the price in the future.

Several common pitfalls

Don’t visit too frequently.

It is recommended to have an interval of 3 to 5 minutes between each check. Price monitoring is a long-term battle, and stability is more important than speed.

The data needs to be verified.

It is advisable to verify the important data multiple times. You can use three different IP addresses from different regions to collect data simultaneously, and then take the average value. This can reduce accidental errors.

Pay attention to the completeness rate

A failed collection does not necessarily result in an error. In many cases, it is due to the absence of data for the price or inventory fields. For each region, it is necessary to record the success rate and completeness rate, so as to understand the quality of the IP.

Don’t be greedy for cheap deals.

Don’t buy shared IP. For price monitoring, you must use a dedicated residential IP. Residential IP is indeed more expensive than data center IP, but it has much higher stability and success rate.

Conduct a preliminary test on a small scale

Before the official launch, conduct small-scale tests on a few products first. Once the results are confirmed to be satisfactory, then expand the scale.

Conclusion

Monitoring Apple’s prices through residential IP cameras essentially involves two main tasks: collecting data based on the normal online behavior of users, and regularly recording price changes. Apple has just undergone a major price increase, and it’s uncertain whether there will be further hikes in the future. But with this monitoring tool, you don’t have to guess. As soon as the price changes, you’ll know immediately. Whether you’re buying things yourself to save money or running a business that needs to adjust strategies, knowing things in advance gives you an advantage.