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Introduction to Web Data Extraction

2026-07-01

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Introduction to Web Data Extraction

Web data extraction (often called web scraping) is the process of pulling structured data from websites. Whether you're a researcher, analyst, or developer, extracting data programmatically saves hours of manual copy-pasting.

Why Extract Web Data?

  • Automation — Collect data from dozens of pages in seconds
  • Accuracy — Eliminate manual transcription errors
  • Timeliness — Get the freshest data on demand
  • Scale — Analyze hundreds of data points that would be impractical to collect by hand

What Can You Extract?

Most modern web pages contain structured data in several forms:

  • HTML Tables<table> elements with rows and columns
  • Lists<ul>, <ol>, and <dl> elements
  • JSON-LD — Structured data embedded in <script> tags (common for product data, reviews, events)
  • Schema.org markup — Microdata and RDFa annotations

How It Works

Enter a URL, and the extractor fetches the page content, identifies all structured elements, and parses them into a clean tabular format ready for analysis or visualization.

Try it on the Extract page of DataVizForge.