Converting TikTok Downloaded Metadata into CSV Format > 자유게시판

Turning your downloaded TikTok data into CSV format helps you efficiently manage, examine, or preserve your social media records.

Whether you’ve used TikTok’s built-in data download tiktok video without watermark free feature or scraped public information for personal use, converting that data into a structured format like CSV makes it easier to work with in spreadsheet programs, databases, or data analysis tools.

Use this methodical approach to reliably convert your TikTok metadata without losing critical details.

First, begin by downloading your TikTok data.

Open the TikTok app on your mobile device, navigate to your profile, tap the three horizontal lines in the top right corner, and select Settings and Privacy.

From there, choose Download Your Data.

The system will ask you to verify your email before proceeding with the request.

You may wait anywhere from a few hours to 48 hours before receiving the download link via email.

The compressed folder contains subdirectories for comments, likes, videos, followers, and a central data.json file that stores most of your account’s structured metadata.

Extract the contents of the ZIP, then search for the data.json file in the root or subfolder.

The data.json file serves as the main repository for your TikTok behavioral and engagement data.

Access the file through a code editor such as Notepad++, Visual Studio Code, or Sublime Text, or use any plain text viewer if you’re familiar with JSON formatting.

The file contains a nested structure of arrays and objects with details such as video IDs, timestamps, captions, like counts, comment counts, and more.

You must decode the JSON hierarchy and isolate the data points you wish to export to CSV.

For non-developers, online utilities like json-csv.com or convertcsv.com offer simple drag-and-drop conversion.

Simply copy and paste the content of data.json into one of these tools, and they will automatically transform it into a formatted CSV file.

Be vigilant: your data includes intimate details, so avoid public online converters if privacy is a concern.

Prefer software installed on your computer rather than web-based tools to keep your data private.

Programmers can leverage Python’s powerful libraries to automate the conversion process.

If Python isn’t on your system, download and install it, then rely on the standard json and csv packages.

Using your preferred editor, craft a minimal Python script that opens data.json, cycles through the video array, and writes each item as a row to a new CSV.

Specify the fields to include in your CSV: video_id, upload_date, caption, likes, comments, shares, and the direct video link.

Call the csv.writer object to serialize each parsed record into the target CSV.

Store the file with a.py extension and execute it via your system’s terminal or Command Prompt.

The output will be a clean CSV file ready for use.

When your data.json contains distinct arrays for comments, likes, and followers, process each one individually.

Inside data.json, each metadata type resides in a dedicated array, such as "videos," "likes," or "followers."

For every distinct array in the JSON, run the conversion script again and output a new CSV file tied to that data type.

This allows you to analyze each category independently.

Consider analyzing engagement patterns: a standalone likes.csv file lets you easily graph trends over time.

Load your CSV outputs into any major spreadsheet application—Excel, Google Sheets, or Calc—to examine the results.

Audit your files for gaps, malformed timestamps, or UTF-8 encoding anomalies that might disrupt analysis.

TikTok records all times in Coordinated Universal Time (UTC)—adjust them to your regional time zone for clarity.

Leverage Excel’s TEXT, DATEVALUE, or TIME functions to reformat timestamps to your preferred layout.

It’s important to note that TikTok’s data export may not include every piece of information you expect.

Recent account creators or users affected by platform updates may notice truncated or entirely missing data fields.

Verify every CSV column against the raw JSON data to catch any lost or misaligned entries.

Since these files contain private data, store them safely using password protection or secure cloud storage.

Your CSVs may reveal viewing habits, social connections, and even GPS data—protect them like financial records.

Avoid uploading them to unsecured cloud services, and consider encrypting them if you plan to share them with others.

You’re not just exporting data—you’re creating a personal archive for introspection, analysis, or historical preservation.

Whether you’re a regular user curious about your habits or a social science analyst studying platform behavior, CSV export is the essential gateway to actionable data.