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emarosa - how to use node.js to scrape the web كلمات الأغنية

how to use node.js to scr_pe the web

we’ll learn how to use node.js and its packages to perform fast and efficient web scr_ping for single_page applications in this article. this can assist us in gathering and using useful data that isn’t always accessible through apis. let’s get started
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what is the concept of web scr_ping?
web scr_ping is a scripting method for extracting data from websites. web scr_ping is a method of automating the time_consuming task of copying data from multiple websites
where the desired websites do not expose an api for retrieving data, web scr_ping is commonly used. scr_ping emails from different websites for sales leads is one of the most popular web scr_ping scenarios
news headlines are scr_ped from news websites
product data were scr_ped from e_commerce websites
why do we need web scr_ping when e_commerce sites have apis (product advertising apis) for retrieving/collecting product information?
since e_commerce websites only reveal a portion of their product data through apis, web scr_ping is the most efficient way to collect as much data as possible
web scr_ping is often used by product comparison sites. crawling and scr_ping are used by google search engine to index search results
what exactly would we require?
it’s simple to get started with web scr_ping, and it’s broken down into two pieces
_ obtaining data through an http request
by parsing the html dom, essential data can be extracted
for web scr_ping, we’ll use node.js.our web scr_ping services provides high_quality structured data to improve business outcomes and enable intelligent decision making,our web scr_ping service allows you to scr_pe data from any websites and transfer web pages into an easy_to_use format such as excel, csv, json and many others.if you’re new to node, start with this article: “the only nodejs introduction you’ll ever need.”
we’ll also use two open_source npm modules: axios, which is a promise_based http client for the browser and node.js, and cheerio, which is a jquery for node.js. cheerio makes selecting, editing, and viewing dom elements easy
more information on comparing common http request libraries can be found here
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organize
our configuration is very straightforward. to create a package.json file, we create a new folder and run this command within it. let’s make our food delicious by following the recipe
init _y npm
let’s gather the ingredients for our recipe before we start cooking. add npm’s axios and cheerio as dependencies
cheerio cheerio cheerio cheerio cheerio cheerio cheerio cheerio cheerio cheeri
now we need to include them in our index.js file
require(‘axios’); require(‘cheerio’); const axios = require(‘axios’);
submit the request
now that we’ve gathered all of the ingredients for our meal, it’s time to get cooking. we’re scr_ping data from the hackernews website, which necessitates an http request to obtain the material. this is where axios comes into play

we get similar html content when we use chrome or any other browser to make a request. to scan through the html of a web page and select the necessary data, we’ll need to use chrome developer tools. more information on the chrome devtools can be found here
we’d like to scr_pe the news heading and the ties that go with it. by right_cl!cking somewhere on the website and choosing “inspect,” you will see the html code

to inspect the html, use chrome devtools
cheerio.js for html parsing
we use selectors to select tags of an html document in cheerio, the jquery for node.js. jquery was used to build the selector syntax. we need to find a selector for news headlines and its connection using chrome devtools. let’s season our food with some spices

we now have an array of javascript objects containing the title and links to the hackernews news stories. we can scr_pe data from a large number of websites in this way. so, our food has been cooked and appears to be delicious
final thoughts
we learned what web scr_ping is and how to use it to automate various data collection operations from various websites in this post
many websites use the single page application (spa) architecture to dynamically produce content using javascript. we can get the response from the initial http request, but we can’t use axios or other related npm packages like request to make dynamic content with javascript. as a result, we are limited to scr_ping data from static websites

- emarosa

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