Hey everyone, I’m trying to figure out how to pull data from Excel files (xlsx) that come as Gmail attachments and then place the information into a Google Sheet. I’ve managed to make it work with CSV files, but I’m facing issues with Excel files.
I’m using Google Apps Script and the code works fine with CSV attachments. However, when it comes to Excel files, I can’t retrieve their content.
Has anyone run into this situation before? I’d love some advice on handling xlsx files in this context. Is there perhaps a specific library or a method recommended for this purpose?
Thanks in advance for your help!
Having tackled this issue before, I can share that using the SpreadsheetApp class in Apps Script is quite effective. First, retrieve the Excel attachment as a blob from Gmail. Then, create a new temporary Spreadsheet using SpreadsheetApp.create(). Use the Advanced Sheets Service to import the Excel data into this temporary sheet. Finally, read the data from the temporary sheet and transfer it to your target Google Sheet. Remember to delete the temporary sheet afterwards to keep things tidy. This method avoids the need for external libraries and works seamlessly within the Google ecosystem. Just be mindful of processing time for larger files.
hey, i’ve dealt with this before. u can try using the XLSX library. first, grab the attachment from gmail and turn it into a blob. then use XLSX.read() to parse the excel data. after that, u can easily move the info to ur google sheet. just remember to install the library in ur project settings. good luck!
I’ve worked on similar challenges at work and found success by using a dedicated service to process Excel files. In my experience, adding the XlsxApp library to your project was a crucial step. First, you fetch the attachment from Gmail and convert the file into a blob. Next, you pass the blob to XlsxApp, which reads the Excel content so it can be transferred into your Google Sheet. It’s important to note that the structure of Excel files can vary, so you might need to adjust your code accordingly, especially when dealing with larger files where performance could become an issue.