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.