


Getting started with PHP crawlers: How to choose the right class library?
Getting started with PHP crawlers: How to choose the right class library?
With the rapid development of the Internet, a large amount of data is scattered in various websites. In order to obtain this data, we often need to use crawlers to extract information from web pages. As a commonly used web development language, PHP also has many class libraries suitable for crawlers to choose from. However, there are some key factors to consider when choosing a library that suits your project needs.
- Function richness: Different crawler libraries provide different functions. Some libraries can only be used for simple web scraping, while others can handle complex data parsing and website login operations. When choosing a class library, you need to determine the required functions according to your own project needs in order to choose the appropriate class library.
- Stability and reliability: Stability and reliability are crucial when using crawlers to crawl data. We need to choose class libraries that have been tested many times and widely used to ensure the stability and reliability of their functions.
- Documentation and sample code: It is important to choose a class library with good documentation and sample code. Documentation can help us better understand and use the class library, and sample code can help us get started quickly and reduce learning costs. Therefore, when choosing a class library, you need to pay attention to the quality of its documentation and sample code.
Below, we will take two commonly used PHP crawler libraries, guzzlehttp/guzzle and symfony/dom-crawler, as examples to introduce how to choose the appropriate class library and give corresponding code examples. .
- guzzlehttp/guzzle: This is a powerful and widely used HTTP request library that can also be used for crawlers. It supports HTTP requests, handles cookies, handles redirects and other functions. At the same time, it also supports asynchronous requests, which can improve crawling speed.
To install guzzlehttp/guzzle, you can use composer and execute the following command:
composer require guzzlehttp/guzzle
The following is a simple sample code, using guzzle to crawl web content:
use GuzzleHttpClient; $client = new Client(); $response = $client->request('GET', 'https://www.example.com'); $html = $response->getBody()->getContents(); echo $html;
- symfony/dom-crawler: This is an HTML parsing library based on CSS selectors that can be used to extract the required information from web pages. It provides a selector syntax similar to jQuery, which can easily locate and extract web page elements.
You can also use composer to install symfony/dom-crawler, execute the following command:
composer require symfony/dom-crawler
The following is a simple sample code, use symfony/dom-crawler to extract the content in the web page All links:
use SymfonyComponentDomCrawlerCrawler; $html = file_get_contents('https://www.example.com'); $crawler = new Crawler($html); $links = $crawler->filter('a')->each(function ($node) { return $node->attr('href'); }); print_r($links);
Through the above sample code, we can learn that using guzzlehttp/guzzle and symfony/dom-crawler can quickly crawl and parse web page data.
In summary, choosing a suitable crawler library requires considering its feature richness, stability and reliability, as well as the quality of documentation and sample code. Choosing an appropriate class library based on project requirements can improve development efficiency and the success rate of data acquisition. I hope this article will help beginners choose PHP crawler libraries.
The above is the detailed content of Getting started with PHP crawlers: How to choose the right class library?. 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



Diffusion can not only imitate better, but also "create". The diffusion model (DiffusionModel) is an image generation model. Compared with the well-known algorithms such as GAN and VAE in the field of AI, the diffusion model takes a different approach. Its main idea is a process of first adding noise to the image and then gradually denoising it. How to denoise and restore the original image is the core part of the algorithm. The final algorithm is able to generate an image from a random noisy image. In recent years, the phenomenal growth of generative AI has enabled many exciting applications in text-to-image generation, video generation, and more. The basic principle behind these generative tools is the concept of diffusion, a special sampling mechanism that overcomes the limitations of previous methods.

Kimi: In just one sentence, in just ten seconds, a PPT will be ready. PPT is so annoying! To hold a meeting, you need to have a PPT; to write a weekly report, you need to have a PPT; to make an investment, you need to show a PPT; even when you accuse someone of cheating, you have to send a PPT. College is more like studying a PPT major. You watch PPT in class and do PPT after class. Perhaps, when Dennis Austin invented PPT 37 years ago, he did not expect that one day PPT would become so widespread. Talking about our hard experience of making PPT brings tears to our eyes. "It took three months to make a PPT of more than 20 pages, and I revised it dozens of times. I felt like vomiting when I saw the PPT." "At my peak, I did five PPTs a day, and even my breathing was PPT." If you have an impromptu meeting, you should do it

In the early morning of June 20th, Beijing time, CVPR2024, the top international computer vision conference held in Seattle, officially announced the best paper and other awards. This year, a total of 10 papers won awards, including 2 best papers and 2 best student papers. In addition, there were 2 best paper nominations and 4 best student paper nominations. The top conference in the field of computer vision (CV) is CVPR, which attracts a large number of research institutions and universities every year. According to statistics, a total of 11,532 papers were submitted this year, and 2,719 were accepted, with an acceptance rate of 23.6%. According to Georgia Institute of Technology’s statistical analysis of CVPR2024 data, from the perspective of research topics, the largest number of papers is image and video synthesis and generation (Imageandvideosyn

We know that LLM is trained on large-scale computer clusters using massive data. This site has introduced many methods and technologies used to assist and improve the LLM training process. Today, what we want to share is an article that goes deep into the underlying technology and introduces how to turn a bunch of "bare metals" without even an operating system into a computer cluster for training LLM. This article comes from Imbue, an AI startup that strives to achieve general intelligence by understanding how machines think. Of course, turning a bunch of "bare metal" without an operating system into a computer cluster for training LLM is not an easy process, full of exploration and trial and error, but Imbue finally successfully trained an LLM with 70 billion parameters. and in the process accumulate

Quick Start with PyCharm Community Edition: Detailed Installation Tutorial Full Analysis Introduction: PyCharm is a powerful Python integrated development environment (IDE) that provides a comprehensive set of tools to help developers write Python code more efficiently. This article will introduce in detail how to install PyCharm Community Edition and provide specific code examples to help beginners get started quickly. Step 1: Download and install PyCharm Community Edition To use PyCharm, you first need to download it from its official website

Editor of the Machine Power Report: Yang Wen The wave of artificial intelligence represented by large models and AIGC has been quietly changing the way we live and work, but most people still don’t know how to use it. Therefore, we have launched the "AI in Use" column to introduce in detail how to use AI through intuitive, interesting and concise artificial intelligence use cases and stimulate everyone's thinking. We also welcome readers to submit innovative, hands-on use cases. Video link: https://mp.weixin.qq.com/s/2hX_i7li3RqdE4u016yGhQ Recently, the life vlog of a girl living alone became popular on Xiaohongshu. An illustration-style animation, coupled with a few healing words, can be easily picked up in just a few days.

As a widely used programming language, C language is one of the basic languages that must be learned for those who want to engage in computer programming. However, for beginners, learning a new programming language can be difficult, especially due to the lack of relevant learning tools and teaching materials. In this article, I will introduce five programming software to help beginners get started with C language and help you get started quickly. The first programming software was Code::Blocks. Code::Blocks is a free, open source integrated development environment (IDE) for

Title: A must-read for technical beginners: Difficulty analysis of C language and Python, requiring specific code examples In today's digital age, programming technology has become an increasingly important ability. Whether you want to work in fields such as software development, data analysis, artificial intelligence, or just learn programming out of interest, choosing a suitable programming language is the first step. Among many programming languages, C language and Python are two widely used programming languages, each with its own characteristics. This article will analyze the difficulty levels of C language and Python
