


Sharing tips on how to crawl Weibo data with PHP and phpSpider!
Sharing tips on how to crawl Weibo data using PHP and phpSpider!
In the Internet era, Weibo has become one of the important platforms for people to obtain information and share opinions. Sometimes, we may need to obtain data on Weibo for analysis or statistics. This article will introduce how to use PHP and phpSpider to crawl Weibo data, and share some tips and precautions.
1. Install phpSpider
phpSpider is a crawler framework based on PHP. It provides a rich API and functions to help us crawl data quickly and efficiently.
First, we need to install phpSpider. It can be installed through Composer, just run the following command:
composer require phpspider/phpspider
After the installation is completed, we can use phpSpider to crawl Weibo data.
2. Log in to Weibo and obtain cookies
Before crawling Weibo data, we need to log in to Weibo and obtain legal cookies before we can access the Weibo page. Here we can use the Login class provided by phpSpider to implement the login operation.
First, create a new php file, such as weibo_login.php. Then, write the following code:
<?php require 'vendor/autoload.php'; use phpspidercoreequests; use phpspidercoreselector; use phpspidercorephpspider; requests::set_cookie("你的微博Cookie"); // 替换成你的微博Cookie $cookie = requests::get_cookie("weibo.com"); var_dump($cookie);
In the code, we first introduced the relevant libraries of phpSpider. Then, the cookies used when we log in to Weibo are set. Finally, the cookie content is output through the requests::get_cookie
function.
Run weibo_login.php, and we can get our Weibo Cookie.
3. Crawl Weibo data
With Cookie, we can use phpSpider to crawl Weibo data. Here we take crawling a user's Weibo as an example. Likewise, create a new php file, for example weibo_spider.php. Then, write the following code:
<?php require 'vendor/autoload.php'; use phpspidercoreequests; use phpspidercoreselector; use phpspidercorephpspider; requests::set_cookie("你的微博Cookie"); // 替换成你的微博Cookie $uid = '微博用户的uid'; // 替换成你要爬取微博的用户的uid $page = 1; // 要爬取微博的页数,可以根据需要进行修改 $url = "https://m.weibo.cn/api/container/getIndex?type=uid&value={$uid}&containerid=107603{$uid}&page={$page}"; $html = requests::get($url); $data = json_decode($html, true); if (isset($data['ok']) && $data['ok'] == 1) { foreach ($data['data']['cards'] as $card) { if ($card['card_type'] == 9) { var_dump($card['mblog']); } } }
In the code, we first introduced the relevant libraries of phpSpider. Then, the cookies used when we log in to Weibo are set. Next, set the uid of the Weibo user to be crawled and the number of pages to be crawled.
Then, we obtain Weibo data by constructing Weibo’s API interface. The mobile interface of Weibo is used here. You can obtain different types of data by modifying the parameters of the interface, such as popular Weibo, followed user Weibo, etc.
Finally, use the json_decode
function to parse the returned JSON data and obtain Weibo content by traversing the data.
Run weibo_spider.php and we can get Weibo data.
4. Notes
When using phpSpider to crawl Weibo data, you need to pay attention to the following points:
- It is necessary to maintain the validity of cookies. If the cookie expires, you need to log in again and obtain a new cookie.
- You need to abide by Weibo's crawler rules and do not request data frequently, otherwise your IP may be banned by Weibo.
- Pay attention to data analysis and processing. According to the data structure returned by Weibo's API, the data is reasonably parsed and processed accordingly.
Summary
This article introduces how to use phpSpider to crawl Weibo data, and shares some tips and precautions. By understanding the basic usage of phpSpider, obtaining Weibo's cookies, and constructing Weibo's API interface, we can quickly and efficiently crawl Weibo data and perform corresponding data analysis and statistics.
I hope this article will be helpful to readers who want to use PHP and phpSpider to crawl Weibo data!
The above is the detailed content of Sharing tips on how to crawl Weibo data with PHP and phpSpider!. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











PHP and Python each have their own advantages, and the choice should be based on project requirements. 1.PHP is suitable for web development, with simple syntax and high execution efficiency. 2. Python is suitable for data science and machine learning, with concise syntax and rich libraries.

PHP is a scripting language widely used on the server side, especially suitable for web development. 1.PHP can embed HTML, process HTTP requests and responses, and supports a variety of databases. 2.PHP is used to generate dynamic web content, process form data, access databases, etc., with strong community support and open source resources. 3. PHP is an interpreted language, and the execution process includes lexical analysis, grammatical analysis, compilation and execution. 4.PHP can be combined with MySQL for advanced applications such as user registration systems. 5. When debugging PHP, you can use functions such as error_reporting() and var_dump(). 6. Optimize PHP code to use caching mechanisms, optimize database queries and use built-in functions. 7

PHP and Python each have their own advantages, and choose according to project requirements. 1.PHP is suitable for web development, especially for rapid development and maintenance of websites. 2. Python is suitable for data science, machine learning and artificial intelligence, with concise syntax and suitable for beginners.

PHP is widely used in e-commerce, content management systems and API development. 1) E-commerce: used for shopping cart function and payment processing. 2) Content management system: used for dynamic content generation and user management. 3) API development: used for RESTful API development and API security. Through performance optimization and best practices, the efficiency and maintainability of PHP applications are improved.

PHP is still dynamic and still occupies an important position in the field of modern programming. 1) PHP's simplicity and powerful community support make it widely used in web development; 2) Its flexibility and stability make it outstanding in handling web forms, database operations and file processing; 3) PHP is constantly evolving and optimizing, suitable for beginners and experienced developers.

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development, especially in rapid development and processing dynamic content, but is not good at data science and enterprise-level applications. Compared with Python, PHP has more advantages in web development, but is not as good as Python in the field of data science; compared with Java, PHP performs worse in enterprise-level applications, but is more flexible in web development; compared with JavaScript, PHP is more concise in back-end development, but is not as good as JavaScript in front-end development.

PHP and Python have their own advantages and disadvantages, and the choice depends on project needs and personal preferences. 1.PHP is suitable for rapid development and maintenance of large-scale web applications. 2. Python dominates the field of data science and machine learning.
