Cultivating Depth and Stillness in Research ()Ģ0. My grandfather was almost shot down at the White House (2018) ()ġ8. A flurry of new studies identifies causes of the Industrial Revolution ()ġ7. Show HN: A tool for motion-capturing 3D characters using a VR headset ()ġ6. Git security vulnerabilities announced (github.blog)ġ5. How Do AIs' Political Opinions Change as They Get Smarter and Better-Trained? ()ġ2. Let's build GPT: from scratch, in code, spelled out by Andrej Karpathy ()ġ0. Ask HN: Has anyone worked at the US National Labs before?ĩ. EV batteries alone could satisfy short-term grid storage demand as early as 2030 ()Ĩ. In the past, I've had students call my problem sets “emotionally trying” (/shengwuli)ħ. Ruby 3.2’s YJIT is Production-Ready (shopify.engineering)Ħ. Show HN: Plus – Self-updating screenshots ()ĥ. Tailscale bug allowed a person to share nodes from other tailnets without auth ()Ĥ. Log each article's text content to the consoleġ. Select all the elements with the class name "athing" Next, to verify we have successfully selected the correct elements, let's loop through each article and log its text contents to the console. So, let's use Cheerio to select all elements containing the athing class and save them to a variable named articles. When analyzing the website's structure, we can find each article's rank and title by selecting the element containing the class athing. Now that Cheerio is loading and parsing the HTML, we can use the variable $ to select elements on the page.īut before we select an element, let's use the developer tools to inspect the page and find what selectors we need to use to target the data we want to extract. Next, let's use Cheerio to parse the HTML data and scrape the contents from all the articles on the first page of Hacker News. Great! Now that we are properly targeting the page's HTML code, it's time to use Cheerio to parse the code and extract the specific data we want. Code import axios from "axios" Īnd here is the result we expect to see after running the npm start command: In the main.js file, we will use Axios to make a GET request to our target website and save the obtained HTML code of the page to a variable named html and log it to the console. How to make an HTTP GET request with Axios To do that, we just have to include the string "start": "node main.js" to the existing "scripts" object.Īnd now, we are ready to move to the next step and start writing some code in our main.js file. Since we are already in the package.json file, let's also add a script to run our scraper by using the command npm start. This will give us access to import declarations and top-level awaits, which means we can use the await keyword outside of async functions. Next, let's add "type": "module" to our package.json file. Right after we open our project, we can expect to see a node_modules folder, the main.js, package-lock.json and package.json files. to open the current directory in VS Code. Since I'm using VS Code, I can type the command code. Finally, we can open our project in our code editor of choice. Still in the terminal, let's initialize our Node.js project and install Axios and Cheerio. We can either do it manually or straight from the terminal by using the following commands: mkdir hacker-news-scraper Basic understanding of the browser DevToolsįirst, let's create a new directory hacker-news-scraper to house our scraper, then move into it and create a new file named main.js.Using Axios, Cheerio and Node.js to scrape data from Hacker News will enable us to get the rank, link, title, author and points from each article on the first page Requirements Our goal in this tutorial is to build a Hacker News scraper using the Axios and Cheerio Node.js libraries to extract the rank, link, title, author, and points from each article displayed on the first page of the website.
0 Comments
Leave a Reply. |