HTML to CSV Converter: Extract HTML Table Data Online
This HTML to CSV converter finds tables in your HTML and extracts their rows into CSV using RFC-4180 quoting. If your input contains multiple tables, choose which table to convert. Paste the HTML, select the table you need, and copy the CSV result for use in your code or another tool.
The HTML to CSV converter extracts table rows from HTML and turns them into CSV that you can copy for use elsewhere. It finds every table in the input, and when the HTML contains multiple tables, you can pick which one to convert. This makes it useful when table data is embedded in a larger HTML snippet.
The conversion uses RFC-4180 quoting for the CSV output, including values that contain commas. Paste your HTML, select a table if there is more than one, and generate the result. The tool is focused on extracting table data; it does not describe converting the rest of the HTML document.
HTML uses markup to represent structured content, while CSV presents tabular data as rows and fields in a text format. Converting a table to CSV can help when you need to pass its data to a system that accepts CSV, review values as plain text, or prepare content for code, documentation, or a ticket.
The conversion runs entirely in your browser. Your input is processed on your device and is not uploaded, stored, or sent to a server. The tool has no server dependency, so after the page has loaded, conversion works offline. Developers and DevOps engineers can use it to quickly extract and check table data without sending the HTML elsewhere.
Step 1: Paste your HTML into the input field. Include the table markup you want to convert.
Step 2: Review the tables found in the HTML. If there is more than one, choose the table you want to extract.
Step 3: Run the conversion to generate CSV. Values containing commas are quoted according to RFC-4180.
Step 4: Copy the CSV result and paste it into your code, documentation, ticket, or CSV-based workflow.
Use case: Move HTML table data into a system that accepts CSV. Convert the table first, then copy the rows into the destination workflow.
Use case: Check whether a CSV value matches the original HTML table. Comparing the extracted result with the source can help spot differences.
Use case: Prepare table data from an HTML snippet for documentation, a ticket, or a commit message. CSV is easy to include as plain text.
Use case: Sanity-check a conversion before adding CSV data to code. Review the generated rows before you copy them into your project.
Use case: Extract one table from HTML that contains several tables. Select the relevant table rather than converting a different one by mistake.
Use case: Convert a table with comma-containing values into CSV. RFC-4180 quoting helps represent those values in the output.