What is web data parsing?
TL;DR
Web data parsing transforms raw web content—HTML, JSON, XML—into structured data. It combines HTML parsing with extraction logic to identify fields like prices, titles, and descriptions. The goal: convert unstructured pages into clean records ready for databases or AI processing.
What is web data parsing?
Web data parsing extracts meaningful information and organizes it into defined fields. When you scrape a product page, HTML contains the name, price, and description mixed with navigation and scripts. Parsing isolates relevant data into structured output.
Traditional parsing uses CSS selectors to locate elements—but selectors break when sites change markup. Firecrawl Agent uses AI to identify data semantically. Describe what you want; it finds and structures it regardless of HTML layout.
Key Takeaways
Web data parsing extracts structured information from raw content through DOM parsing, element identification, and value extraction. AI-powered parsing like Firecrawl identifies content by meaning rather than selectors, surviving markup changes without maintenance.
data from the web