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What Is Data Parsing?

Data parsing is the process of converting raw data, such as HTML or plain text, into a structured, machine-readable format by breaking it down into identifiable components.

How parsing fits into scraping

After a page is fetched, a parser reads the HTML document object model (DOM) and pulls out targeted elements using selectors like CSS paths or XPath. The parsed output is then mapped to a clean schema — for example, converting a product page into fields like name, price, and availability.

Common parsing tools

Popular parsing libraries include BeautifulSoup and lxml for Python, and Cheerio for Node.js. Managed scraping platforms typically maintain custom parsers per site so extraction stays accurate even as a target site’s layout changes.