How to use superagent and cheerio using nodejs crawler
This article mainly introduces the knowledge related to superagent and cheerio for the initial trial of nodejs crawler. It is very good and has reference value. Friends in need can refer to it
Preface
I have heard of crawlers for a long time. I started to learn nodejs in the past few days and wrote a crawler https://github.com/leichangchun/node-crawlers/tree/master/superagent_cheerio_demo to crawl the homepage of the blog park. Here is a brief summary of the article title, user name, number of reads, number of recommendations and user avatar.
Use these points:
1. The core module of node--file system
2. The third-party module used for http requests--superagent
3. Third-party module for parsing DOM--cheerio
Please go to each link for detailed explanations and APIs of several modules. There are only simple usages in the demo.
Preparation work
Use npm to manage dependencies, and the dependency information will be stored in package.json
//安装用到的第三方模块 cnpm install --save superagent cheerio
Introduction required Function module used
//引入第三方模块,superagent用于http请求,cheerio用于解析DOM const request = require('superagent'); const cheerio = require('cheerio'); const fs = require('fs');
Request parsing page
If you want to crawl to the content of the blog park homepage, you must first request the homepage address, get To return the HTML, superagent is used here to make http requests. The basic usage method is as follows:
request.get(url) .end(error,res){ //do something }
Initiate a get request to the specified URL. When the request is wrong, an error will be returned (if there is no error, the error is null or undefined), res is the returned data.
After getting the html content, we need to use cheerio to parse the DOM in order to get the data we want. Cheerio must first load the target html and then parse it. The API is very similar to the jquery API. , familiar with jquery and getting started very quickly. Look directly at the code example
//目标链接 博客园首页 let targetUrl = 'https://www.cnblogs.com/'; //用来暂时保存解析到的内容和图片地址数据 let content = ''; let imgs = []; //发起请求 request.get(targetUrl) .end( (error,res) => { if(error){ //请求出错,打印错误,返回 console.log(error) return; } // cheerio需要先load html let $ = cheerio.load(res.text); //抓取需要的数据,each为cheerio提供的方法用来遍历 $('#post_list .post_item').each( (index,element) => { //分析所需要的数据的DOM结构 //通过选择器定位到目标元素,再获取到数据 let temp = { '标题' : $(element).find('h3 a').text(), '作者' : $(element).find('.post_item_foot > a').text(), '阅读数' : +$(element).find('.article_view a').text().slice(3,-2), '推荐数' : +$(element).find('.diggnum').text() } //拼接数据 content += JSON.stringify(temp) + '\n'; //同样的方式获取图片地址 if($(element).find('img.pfs').length > 0){ imgs.push($(element).find('img.pfs').attr('src')); } }); //存放数据 mkdir('./content',saveContent); mkdir('./imgs',downloadImg); })
Storing data
After parsing the DOM above, the required information content has been spliced and the image has been obtained URL, store it now, store the content in a txt file in the specified directory, and download the image to the specified directory
Create the directory first and use the nodejs core file system
//创建目录 function mkdir(_path,callback){ if(fs.existsSync(_path)){ console.log(`${_path}目录已存在`) }else{ fs.mkdir(_path,(error)=>{ if(error){ return console.log(`创建${_path}目录失败`); } console.log(`创建${_path}目录成功`) }) } callback(); //没有生成指定目录不会执行 }
With the specification After the directory, you can write data. The content of the txt file is already there. Just write it directly. Use writeFile()
//将文字内容存入txt文件中 function saveContent() { fs.writeFile('./content/content.txt',content.toString()); }
to get the link to the picture, so you need to use superagent to download the picture and save it locally. . superagent can directly return a response stream, and then cooperate with the nodejs pipeline to directly write the image content to the local
//下载爬到的图片 function downloadImg() { imgs.forEach((imgUrl,index) => { //获取图片名 let imgName = imgUrl.split('/').pop(); //下载图片存放到指定目录 let stream = fs.createWriteStream(`./imgs/${imgName}`); let req = request.get('https:' + imgUrl); //响应流 req.pipe(stream); console.log(`开始下载图片 https:${imgUrl} --> ./imgs/${imgName}`); } ) }
Effect
Execute the demo and see the effect. The data has climbed down normally
A very simple demo, it may not be that rigorous, but it is always the first small step towards node.
The above is what I compiled for everyone. I hope it will be helpful to everyone in the future.
Related articles:
Vue’s routing dynamic redirection and navigation guard examples
Vue implements uploading images to the database and displaying them to Page function example
Solve the problem of failure after using vue.js routing
The above is the detailed content of How to use superagent and cheerio using nodejs crawler. 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

AI Hentai Generator
Generate AI Hentai for free.

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

The main differences between Node.js and Tomcat are: Runtime: Node.js is based on JavaScript runtime, while Tomcat is a Java Servlet container. I/O model: Node.js uses an asynchronous non-blocking model, while Tomcat is synchronous blocking. Concurrency handling: Node.js handles concurrency through an event loop, while Tomcat uses a thread pool. Application scenarios: Node.js is suitable for real-time, data-intensive and high-concurrency applications, and Tomcat is suitable for traditional Java web applications.

Node.js is a server-side JavaScript runtime, while Vue.js is a client-side JavaScript framework for creating interactive user interfaces. Node.js is used for server-side development, such as back-end service API development and data processing, while Vue.js is used for client-side development, such as single-page applications and responsive user interfaces.

Node.js can be used as a backend framework as it offers features such as high performance, scalability, cross-platform support, rich ecosystem, and ease of development.

Yes, Node.js is a backend development language. It is used for back-end development, including handling server-side business logic, managing database connections, and providing APIs.

There are two npm-related files in the Node.js installation directory: npm and npm.cmd. The differences are as follows: different extensions: npm is an executable file, and npm.cmd is a command window shortcut. Windows users: npm.cmd can be used from the command prompt, npm can only be run from the command line. Compatibility: npm.cmd is specific to Windows systems, npm is available cross-platform. Usage recommendations: Windows users use npm.cmd, other operating systems use npm.

The following global variables exist in Node.js: Global object: global Core module: process, console, require Runtime environment variables: __dirname, __filename, __line, __column Constants: undefined, null, NaN, Infinity, -Infinity

The main differences between Node.js and Java are design and features: Event-driven vs. thread-driven: Node.js is event-driven and Java is thread-driven. Single-threaded vs. multi-threaded: Node.js uses a single-threaded event loop, and Java uses a multi-threaded architecture. Runtime environment: Node.js runs on the V8 JavaScript engine, while Java runs on the JVM. Syntax: Node.js uses JavaScript syntax, while Java uses Java syntax. Purpose: Node.js is suitable for I/O-intensive tasks, while Java is suitable for large enterprise applications.

Node.js and Java each have their pros and cons in web development, and the choice depends on project requirements. Node.js excels in real-time applications, rapid development, and microservices architecture, while Java excels in enterprise-grade support, performance, and security.
