To convert HTML to Excel, you can open the HTML file directly in Excel, import an HTML table, copy and paste the table, or use Power Query or Python for automated conversion. The best method depends on whether you have one simple HTML table or many HTML files that need to be converted regularly.
For a single HTML file containing tables, the quickest method is usually to open the file in Microsoft Excel and save it as an Excel workbook.
1. Open the HTML File Directly in Excel
The simplest way to convert HTML to Excel is to open the HTML file using Microsoft Excel.
First, save the webpage or HTML document as an .html or .htm file. Then open Excel and select File > Open. Browse to the HTML file and open it.
Excel can interpret HTML tables and place their contents into worksheet cells. After the file opens, check the data to make sure the columns, rows, formatting, and values were imported correctly.
Then select File > Save As and choose Excel Workbook (*.xlsx).
This method works well when the HTML document contains properly structured <table> elements.
2. Copy an HTML Table and Paste It Into Excel
When you only need one table from a webpage, copying and pasting is usually faster than converting the entire HTML file.
Open the webpage in your browser, select the table, copy it, and paste it into Excel.
Excel will often separate the HTML table into rows and columns automatically. After pasting, check for merged cells, missing values, formatting problems, or columns that were imported incorrectly.
This is the easiest option when the table is small and you only need the data once.
3. Import HTML Data Using Power Query
Power Query is a better option when you regularly import data from webpages or HTML files.
In Excel, use the Data tab and select the appropriate option for importing data from the web or another source. When working with a webpage, Excel can detect available tables and allow you to select the table you want.
Power Query is especially useful because you can clean and transform the imported data before loading it into Excel.
For example, you can remove unnecessary columns, change data types, filter rows, rename columns, and combine data from multiple sources.
If the source data changes regularly, you can also refresh the query rather than manually copying the table again.
4. Convert HTML to Excel With Python
For large numbers of HTML files or automated workflows, Python is a practical approach.
Python libraries such as pandas can read HTML tables and write them to Excel files. A basic example is:
import pandas as pd
tables = pd.read_html("input.html")
tables[0].to_excel("output.xlsx", index=False)
read_html() identifies HTML tables in the document and returns them as pandas DataFrames. You can then write the required table to an .xlsx file.
If the HTML document contains multiple tables, you can process each table separately or combine them before exporting.
This approach is useful when HTML-to-Excel conversion needs to happen repeatedly or automatically.
Which HTML-to-Excel Method Should You Use?
The right method depends on the amount of data and how often you need to perform the conversion.
For one HTML file, opening it in Excel and saving it as .xlsx is usually the simplest solution.
For one table from a webpage, copying and pasting is often the fastest approach.
For regular webpage or HTML data imports, Power Query is more suitable because it can repeat the import and transformation process.
For many files or automated conversion, Python is more appropriate because the process can be scripted.
Important Limitation
HTML and Excel are different formats, so conversion does not always preserve everything exactly.
Text and standard HTML tables generally convert well, but complex webpage layouts, JavaScript-generated tables, CSS styling, interactive elements, images, and non-tabular content may not transfer correctly.
If the table is generated dynamically by JavaScript, a simple HTML import may also fail to capture the actual displayed data. In that situation, you may need to obtain the underlying data source or use a method capable of accessing the rendered content.
Final Answer
The fastest way to convert HTML to Excel is usually to open the HTML file in Excel and save it as an .xlsx file. For a single webpage table, copying and pasting it into Excel is often even faster. For repeatable imports, use Power Query, and for large-scale automated conversion, use Python with pandas.
In simple terms:
HTML file → Open in Excel → Check the imported table → Save As .xlsx
For most basic HTML tables, this is all you need.
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