You can use vals to scrape websites.
Either by fetching HTML and using a parsing library, or by making an API call to an external service that runs a headless browser for you.
Locate the HTML element that contains the data you need
Right click on the section of a website that contains the data you want to fetch and then inspect the element. In Chrome, the option is called Inspect and it highlights the HTML element in the Chrome DevTools panel.
For example, to scrape the introduction paragraph of the OpenAI page on Wikipedia, inspect the first word of the first paragraph.
In the Elements tab, look for the the data you need and right click the
parent element and choose Copy selector to get the
#mw-content-text > div.mw-parser-output > p:nth-child(7).
If you know a little CSS, it’s better to write your own selector by hand to make
it more generic. This can make the selector less vulnerable to the website being
updated and, e.g., class names changing. In this case, you can use
document.querySelector in the Console to check your CSS
selector is correct.
The OpenAI page on Wikipedia is rendered on the server and arrives as a complete HTML document. This makes it a good fit for cheerio which parses HTML markup and provides an API for traversing/manipulating the resulting data structure. We also recommend node-html-parser and linkedom.