How to use PHP and phpSpider to capture review data from e-commerce websites?

How to use PHP and phpSpider to capture review data from e-commerce websites?

With the continuous development of e-commerce, users’ demand for product evaluations and reviews is also increasing. For e-commerce websites, it is very important to obtain user review data. It can not only help companies better understand the advantages and disadvantages of products, but also provide reference for other users to improve the accuracy of purchasing decisions.

In this article, I will introduce how to use PHP and phpSpider, an open source crawler framework, to capture e-commerce website review data. phpSpider is a high-performance asynchronous web crawler framework based on PHP. It provides rich functions and flexible configuration options, allowing us to easily capture and process data.

First, we need to install phpSpider and create a new project. You can install phpSpider with the following command:

composer require phpspider/phpspider

After the installation is complete, we can start writing code.

First, we need to create a new php file, such as commentSpider.php. In this file, we need to introduce the autoloader and base class library of phpSpider:

<?php
require __DIR__ . '/vendor/autoload.php';
use phpspidercorephpspider;
use phpspidercoreequests;

Next, we need to configure the basic information of the crawler, such as the web page address to be crawled and the data format to be crawled. In this example, we take the Taobao e-commerce website as an example to capture product review data. Here we only crawl 10 pages of data as an example:

$config = array(
    'name' => 'commentSpider',
    'tasknum' => 1,
    'log_file' => 'log.txt',
    'domains' => array(
        'item.taobao.com'
    ),
    'scan_urls' => array(
        'http://item.taobao.com/item.htm?id=1234567890' // 这里替换成你要抓取的商品详情页链接
    ),
    'list_url_regexes' => array(
        "http://item.taobao.com/item.htm?id=d+"
    ),
    'content_url_regexes' => array(
        "http://item.taobao.com/item.htm?id=d+"
    ),
    'max_try' => 5,
    'export' => array(
        'type' => 'csv',
        'file' => 'data.csv',
    ),
);

In the above code, we specified the name of the crawler as commentSpider, set up 1 crawling task to run at the same time, and specified the path of the log file is log.txt, and the main domain name of the website to be crawled is set to item.taobao.com. scan_urls specifies the starting link to be crawled, that is, the product details page link, and list_url_regexes and content_url_regexes specify the matching rules for the list page and content page.

Next, we need to write a callback function to process the page. In this example, we only need to grab the comment data from the page and save it to a CSV file:

function handlePage($html)
{
    $data = array();
    $commentList = $html->find('.comment-item');
    foreach ($commentList as $item) {
        $comment = $item->find('.content', 0)->innertext;
        $data[] = array(
            'comment' => $comment,
        );
    }
    return $data;
}

In the above code, we use the find method provided by phpSpider to find the specified comments in the page. Element, here we grab the element with the class name .comment-item, and then extract the content of the comment from it.

Finally, we need to instantiate phpSpider and start the crawler:

$spider = new phpspider($config);
$spider->on_extract_page = 'handlePage';
$spider->start();

In the above code, we specify the callback function for processing the page as handlePage, and then call the start method to start the crawler.

Save the above code into the commentSpider.php file, and then execute the following command on the command line to start crawling data:

php commentSpider.php

The crawler will automatically start crawling data. The results will be saved to the data.csv file.

Through the above steps, we can use PHP and phpSpider to capture e-commerce website review data. Of course, there will be some problems encountered during the actual crawling process, such as the crawler's IP being blocked, page request timeout, etc. But by modifying the configuration of phpSpider and customizing development, we can solve these problems and improve the stability and efficiency of data crawling.

In short, by using PHP and phpSpider, we can easily capture e-commerce website review data and use it for product analysis and user experience improvement. Hope this article is helpful to you.

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