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Скачать или смотреть Converting xlsx to json from an FTP server using Node.js

  • vlogize
  • 2025-05-24
  • 3
Converting xlsx to json from an FTP server using Node.js
How to convert xlsx to json reading it from an ftp?node.jsjsonftpxlsx
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Описание к видео Converting xlsx to json from an FTP server using Node.js

Learn how to efficiently convert `xlsx` files to `json` format by downloading them from an FTP server with Node.js. Comprehensive guide included!
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This video is based on the question https://stackoverflow.com/q/71878140/ asked by the user 'k-million' ( https://stackoverflow.com/u/15386503/ ) and on the answer https://stackoverflow.com/a/71881745/ provided by the user 'traynor' ( https://stackoverflow.com/u/4321299/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: How to convert xlsx to json reading it from an ftp?

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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How to Convert XLSX to JSON by Reading from an FTP Server

In today's data-driven world, the ability to handle and manipulate data formats is essential. One common challenge developers encounter is converting .xlsx files (Excel format) to .json for easier data manipulation and integration with web applications. This post will dive into how to effectively convert .xlsx files to .json format by downloading them from an FTP server using Node.js.

In your scenario, you're facing difficulties fetching an .xlsx file from an FTP server, converting it to .json, and saving the output correctly. Let’s explore the steps to accomplish this successfully.

Step-by-Step Solution

Prerequisites

Before we start, ensure that you have the following:

Node.js installed on your machine.

The following npm packages: ftp, xlsx, and fs. You can install them using npm:

[[See Video to Reveal this Text or Code Snippet]]

Setup FTP Connection

First, you need to establish a connection with the FTP server using the ftp module. Here's the setup:

[[See Video to Reveal this Text or Code Snippet]]

Replace your_ftp_host, your_username, and your_password with your actual FTP credentials.

Downloading the XLSX File

Once connected, you can download the .xlsx file. The key aspect here is to read the content as a buffer for correct processing. Below is the modified code snippet to implement this:

[[See Video to Reveal this Text or Code Snippet]]

Explanation of the Code

Stream Handling: In this block of code, we listen to the data event to capture chunks of the file as they are streamed. We store these chunks in an array called content.

Buffer Concatenation: Once the streaming is complete, we concatenate the array of buffers into a single buffer using Buffer.concat(content). This is crucial because the sheet_to_json function requires a worksheet object which cannot be obtained directly from the raw string data.

Convert to JSON: Using XLSX.read, the concatenated buffer is parsed, allowing us to access sheets easily. sheet_to_json converts the defined Excel sheet to JSON format.

Output File: Finally, the resulting JSON object is written to a file named market-to-json.json in a pretty-print format.

Conclusion

Converting .xlsx files to .json using Node.js from an FTP server doesn't have to be a daunting task. By following this guide, you can efficiently achieve it while ensuring the data is properly read and written. Now you can handle and manipulate your Excel data within web applications seamlessly.

If you're still facing difficulties or have questions, feel free to leave comments below! Happy coding!

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