With the vigorous development of the e-commerce industry, sports shoes are one of the essential items in people's lives, and the timely acquisition of their sales data has become the focus of many e-commerce practitioners. However, due to some restrictive factors, such as website geographical restrictions, anti-crawler strategies, etc., it has become increasingly difficult to directly obtain sports shoe sales data. In order to solve this problem, using proxy IP technology has become a common solution

Basic principles of proxy IP

A proxy IP, or proxy server, is an intermediate server located in a network connection that acts as an intermediary between the client and the target server. Through proxy IP, users can hide their real IP address and obtain the IP address of the proxy server to achieve the purpose of accessing the target website. When obtaining sports shoe sales data, using proxy IP can break through website geographical restrictions and anti-crawler strategies to achieve timely acquisition of data.

Choose a suitable proxy IP service provider

Before using a proxy IP, it is important to choose a reliable proxy IP service provider. Excellent proxy IP service providers usually provide stable, high-speed, privacy-protecting proxy IP services, and can flexibly respond to the anti-crawler strategies of different websites. By comparing factors such as price, service quality, and customer reviews of different service providers, you can choose an agency IP service provider that suits your needs.

When crawling data, you can choose lunaproxy, the most valuable proxy provider.

Configure proxy IP and set up crawler

Once you choose a suitable proxy IP service provider, you need to configure the proxy IP and set up the crawler program. Crawling information through crawlers. When configuring the proxy IP, you need to pay attention to selecting an IP address that matches the region of the target website to avoid being recognized as abnormal access by the website and being blocked.

When using the crawler program, it can be used with the fingerprint browser

Simulate human behavior: When sending HTTP requests, the crawler program can simulate human behavior, including randomizing access intervals, simulating mouse movement trajectories, randomizing click positions, etc. This can make the crawler's behavior more subtle and reduce the possibility of being detected by the website.

Randomized request header information: Fingerprint browser can provide randomized request header information, including browser version, operating system, language preference, etc. The crawler program can randomly select a set of request header information for each request, increasing the diversity of crawler behavior and making it more difficult to identify as a robot.

Dynamically generate user sessions: Fingerprint browser can simulate the user's session state, including saving and managing cookies, form data, etc. Crawler programs can use dynamic user sessions generated by fingerprint browsers to interact with target websites to achieve more complex data capture and operations.

Monitor the anti-crawler mechanism: The crawler program needs to regularly monitor the anti-crawler mechanism of the target website, including IP blocking, verification code verification, etc. Once changes in the anti-crawler mechanism are discovered, the crawler program can adjust its strategy accordingly to meet new challenges.

How the crawler program crawls sneaker information

Send HTTP request: The crawler first sends an HTTP request to the server of the target website, such as the official website of sports brands such as Nike. Request specific web content. This request usually includes the URL of the target web page, request method (GET, POST, etc.), request header information, etc.

Get web content: Once the server receives the request, it returns the corresponding web content. After the crawler program receives the response from the server, it downloads the web page content to the local for processing.

Parse web page content: Crawler programs use parsers (such as Beautiful Soup, Scrapy, etc.) to parse web page content. The parser converts web page content into easy-to-operate data structures, such as DOM trees, XPath, JSON, etc., based on the grammatical rules of HTML or other markup languages.

Extracting data: Once the web page content is parsed into data structures, the crawler can extract the target data from it.

Store data: The extracted data can be stored in local files, databases or memory for subsequent processing and application. The way the data is stored depends on the needs of the crawler and the actual situation.

Data processing and application

After obtaining the sports shoe sales data, the next step is to perform data processing and application. Through data cleaning, analysis and mining, useful information can be extracted from massive data, such as sales volume, price trends, popular styles, etc., to provide reference for operational decisions. At the same time, data can be applied to product pricing, promotion strategies, etc. in a timely manner to improve sales efficiency and competitiveness.