Extract Tables from Wikipedia with AI

Automatically extract structured tables from any Wikipedia page — including infoboxes, statistical summaries, comparison charts, and classification tables. Convert Wikipedia data to Excel or CSV in seconds, preserving multi-language and multi-column layouts.
All Wikipedia languagesPreserves infoboxesNo coding required

How to extract tables from Wikipedia

1. Enter Wikipedia page URL or title

Paste any Wikipedia page URL (e.g., en.wikipedia.org/wiki/Artificial_intelligence) or just the page title. Supports all language editions (de, fr, ja, etc.).

2. AI detects all tables on the page

Our AI identifies infoboxes (key-value summaries), statistical tables, timeline tables, comparison charts, and classification tables — even those inside collapsible sections.

3. Download as Excel or CSV

Export each table as a separate sheet in Excel or individual CSV files, ready for research, analysis, or knowledge base import.

AI vs Manual Wikipedia Table Extraction

Stop copying Wikipedia tables by hand

  • × Stop manually copying infobox fields into spreadsheets
  • × Stop dealing with multi-row headers and merged cells
  • × Stop losing data from collapsed or sortable tables

Let AI extract Wikipedia tables instantly

  • ✓ Automatically detects all tables including infoboxes and navboxes
  • ✓ Preserves hierarchical structure, footnotes, and references
  • ✓ Works across 300+ Wikipedia language editions

Best AI tool for Wikipedia table extraction

Extracts all Wikipedia table types

Infoboxes (key-value attribute lists), statistical tables (population, GDP, election results), comparison tables (product specs, software features), timeline tables, classification tables (taxonomy, sports standings), and sortable data tables.

Preserves multi-language & multi-column layouts

Handles Wikipedia's complex table markup including rowspan/colspan, collapsible sections, and multi-language column headers. Extracted tables retain original structure and footnotes.

Export to Excel, CSV, or JSON

Download infoboxes as structured key-value tables, statistical data as numeric grids, or full datasets for knowledge graph construction and research projects.

Common Wikipedia table extraction use cases

Research & Data Journalism

• Extract country comparison tables (GDP, population, HDI)

• Build historical datasets from election result tables

• Collect scientific classification data (species, minerals)

Knowledge Base & Ontology Building

• Convert infoboxes into structured entity attributes

• Extract product specification tables for comparison engines

• Build academic knowledge graphs from Wikipedia data

Business Intelligence & Market Research

• Extract company infoboxes (revenue, employees, founded)

• Collect software version history tables

• Build competitive landscapes from feature comparison tables

FAQs about extracting tables from Wikipedia

Extract tables from any Wikipedia page now — free preview