Convert HTML Table to CSV Online
Data Source
Extract from Web Page
Enter a web page URL containing table data to automatically extract structured data
Paste your HTML Table data or drag HTML files here
Online Table Editor
Table Generator
How to Quickly Convert HTML Table to CSV Online Format?
1. Upload, paste, or extract HTML Table from web pages with multiple input methods supported
Paste HTML code containing tables or upload HTML files. The tool automatically recognizes and extracts table data from pages, supporting complex HTML structures, CSS styles, and nested table processing.
2. Modify HTML 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 CSV format with simple and efficient operation and precise reliable results.
3. Copy or download CSV with multiple export options supported
Generate standard CSV format files with support for custom delimiters, quote styles, encoding formats, and BOM mark settings. Ensures perfect compatibility with target systems, providing download and compression options to meet enterprise-level data processing 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 HTML format and its application scenarios?
HTML tables are the standard way to display structured data in web pages, built with table, tr, td and other tags. Supports rich style customization, responsive layout, and interactive functionality. Widely used in website development, data display, and report generation, serving as an important component of front-end development and web design.
What is CSV format and its application scenarios?
CSV (Comma-Separated Values) is the most widely used data exchange format, perfectly supported by Excel, Google Sheets, database systems, and various data analysis tools. Its simple structure and strong compatibility make it the standard format for data migration, batch import/export, and cross-platform data exchange, widely used in business analysis, data science, and system integration.