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Building a Web Scraper with Cheerio

Beginning of the lesson

Building a Web Scraper with Cheerio

Fetch a web page, pluck out the data you want with jQuery-like selectors, and save it as JSON or rows in a database.

Big idea: A web scraper downloads a page's raw HTML and treats it like a queryable document. Cheerio parses that HTML into a tree and gives you the same $('selector') API you know from jQuery -- but on the server, with no browser. You point at elements, read their text and attributes, and turn a messy page into clean, structured records.
By the end you will be able to:
  • explain the fetch -> parse -> select -> extract -> store pipeline;
  • load HTML into Cheerio and query it with CSS selectors;
  • loop over repeated elements to build an array of records;
  • read text, attributes, and nested nodes cleanly;
  • save results to a JSON file or a database table;
  • scrape politely -- respect robots.txt, rate limits, and errors;
  • decide when a real API is the better choice than scraping.

1. What is scraping, and why Cheerio?

Not every website offers a clean JSON API. Sometimes the only place a price, a headline, or a product spec lives is inside the HTML a browser renders. Scraping is the practice of downloading that HTML and extracting the useful parts programmatically.

In the earlier topic Consuming Third-party APIs you fetched JSON from an endpoint -- the data arrived already structured. Scraping is the sibling skill: the data arrives as a document built for human eyes, and your job is to impose structure on it. Same fetch, very different parsing.

Cheerio is a fast, mature library that parses HTML into a node tree and exposes a jQuery-compatible API. It does not run JavaScript, load images, or render anything -- it is just a parser plus selectors. That makes it tiny and quick compared to a full headless browser like Puppeteer. If the data you want is present in the raw HTML the server sends, Cheerio is the right tool. If the page builds its content with client-side JavaScript after load, you would need a browser-based tool instead (more on that later).

Analogy. Think of the HTML page as a printed newspaper. A browser is a reader who sees the laid-out pages. Cheerio is a pair of scissors and an index: it lets you jump straight to "every headline in the sports section" and cut those out, ignoring the ads and layout you do not care about.

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  • Worked examples
  • Common mistakes and how to avoid them
  • Test questions: 15
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