![]() The first thing we need to determine is whether or not this is, in fact, an HTML table. Yes, all tables use the basic structure, but that doesn’t mean that all are created equally. Testing the Target Site Using DevToolsīefore writing the code, we need to understand how is the website structured. Now we can create a new file named tablescraper.js and import our dependencies at the top.Ĭonst ObjectsToCsv = require("objects-to-csv") Īlso, your project should be looking like this:Ģ. Our for a one command installation: npm i axios cheerio objects-to-csv. ObjectsToCsv: npm install objects-to-csv.Next, we’ll install our dependencies using the following commands: You’ll now have a new JSON file in your folder. In the terminal, we’ll run npm init -y to start a new Node.JS project. To kickstart our project, let’s create a new directory named html-table-scraper, open the new folder on VScode (or your code editor of preference) and open a new terminal. We’ll be extracting the name, position, office, age, start date, and salary for each employee, and then send the data to a CSV using the ObjectsToCsv package. Note: For Node.JS installation instructions, please refer to the first article on the list.įor today’s project, we’ll build a web scraper using Axios and Cheerio to scrape the employee data displayed on. However, we’ll keep this tutorial as beginner-friendly as possible so you can use it even as a starting point. ![]() How to Build a Football Data Scraper Step-by-Step.How to Build a LinkedIn Scraper For Free. ![]()
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