Convert MediaWiki Table to JSON Array Online
Data Source
Extract from Web Page
Enter a web page URL containing table data to automatically extract structured data
Paste your MediaWiki Table data or drag MediaWiki files here
Online Table Editor
Table Generator
How to Quickly Convert MediaWiki Table to JSON Array Online Format?
1. Upload, paste, or extract MediaWiki Table from web pages with multiple input methods supported
Paste MediaWiki table code or upload wiki source files. The tool parses wiki markup syntax and extracts table data, supporting complex wiki syntax and template processing.
2. Modify MediaWiki Table using our professional online table editor
Edit data using our professional online table editor. Supports deleting empty row data, removing duplicate rows, transposing data, sorting by rows, regex find & replace, and real-time preview. All changes will automatically convert to JSON Array format with simple and efficient operation and precise reliable results.
3. Copy or download JSON Array with multiple export options supported
Generate multiple JSON format outputs: standard object arrays, 2D arrays, column arrays, and key-value pair formats. Supports beautified output, compression mode, custom root object names, and indentation settings, perfectly adapting to various API interfaces and data storage needs.
Note: Our online conversion tool uses advanced data processing technology, runs completely in the browser, ensures data security and privacy, and does not store any user data.
What is MediaWiki format and its application scenarios?
MediaWiki is the open-source software platform used by famous wiki sites like Wikipedia. Its table syntax is concise yet powerful, supporting table style customization, sorting functionality, and link embedding. Widely used in knowledge management, collaborative editing, and content management systems, serving as core technology for building wiki encyclopedias and knowledge bases.
What is JSON format and its application scenarios?
JSON (JavaScript Object Notation) is the standard table data format for modern web applications, REST APIs, and microservice architectures. Its clear structure and efficient parsing make it widely used in front-end and back-end data interaction, configuration file storage, and NoSQL databases. Supports nested objects, array structures, and multiple data types, making it indispensable table data for modern software development.