Web Scraping can be used for pretty much everything from E-Commerce, Data Science, Job Boards, Marketing and Sales, Finance, Data Journalism and so on. It is a form of copying in which specific data is gathered and copied from the web, typically into a central local database or spreadsheet, for later retrieval or analysis. While web scraping can be done manually by a software user, the term typically refers to automated processes implemented using a bot or web crawler. The web scraping software may directly access the World Wide Web using the Hypertext Transfer Protocol or a web browser. In other words, it accepts an object as input and returns a promise.Web scraping, web harvesting, or web data extraction is data scraping used for extracting data from websites. You know that request-promise is a client ‘request’ with Promise support. const rp = require('request-promise') Ĭonst cheerio = require('cheerio') Set Request You have to require the request-promise and cheerio in your index.js file using the below code. npm install -save request request-promise cheerio For this, open your command line and type the following command. Then you have to install the dependencies. Create an index.js file within that folder. Request-promise – It is a simple HTTP client that you can use to make quick and easy HTTP calls. It helps to select, edit and view DOM elements. Web Scraping Using Node.jsįor web scraping using Node.js, we will be using the following two npm modules.Ĭheerio – It is a Javascript technology used for extracting data from websites. Caching allows the applications to load the web pages faster, so developers don’t have to reuse the codes. Thus, you can effectively implement the code using this engine.Ĭaching – The developers can also cache single modules using the open-source runtime environment of Node.js. High Performance – Node.js uses Google’s V8 Javascript engine to interpret the Javascript code as it compiles it directly into the machine code. They can vertically scale the applications by adding extra resources to the single nodes. They can add additional nodes to the existing systems to scale the applications horizontally. Scalability – The Node.js developers can easily scale the applications in horizontal and vertical directions. Thus, they can easily deploy web applications because almost all web browsers support Javascript. They do not need to use any other server-side programming language. In short, the Node.js developers use Javascript to write both frontend and backend web applications. Single Programming Language – You can use Node.js to write server-side applications in Javascript. So, they don’t have to put an extra effort into learning Node.js. They can quickly learn and use Node.js at the backend as it is a simple Javascript. Following are the reasons to use Node.js for web scraping.Įasy to Learn – Javascript is a popular programming language used by frontend developers. Given below are some of the areas where we can use Node.js. Its library is very fast in code execution because its applications do not buffer any data. It is an open-source server-side platform to develop server-side and networking applications. You will learn how to do web scraping with Node.js. Scraping online stores for product pictures and sales data.Extracting email addresses from websites that publish public emails.Collecting data from another website to use on your own website.Finding trending data on social media sites.Other use cases of web scraping are given below. For instance, web scraping is used in the E-commerce world to monitor the pricing of competitors’ services and products.
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