How to Export TikTok Metadata to CSV > 자유게시판

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Saving TikTok data as CSV simplifies tracking your engagement patterns, video history, and interactions across platforms.

If you retrieved your information through TikTok’s official export option or collected it via third-party scraping, transforming it into CSV streamlines processing in Excel, Google Sheets, or Python-based analytics.

Use this methodical approach to reliably convert tiktok video to mp4 your TikTok metadata without losing critical details.

Start the process by initiating a data download request through the TikTok app.

Inside the TikTok app, head to your profile, locate the hamburger menu at the top-right, and select the Settings and Privacy option.

Next, select the "Download Your Data" button.

You’ll need to input a valid email and confirm your intent to receive the archive.

Once processed, TikTok sends a time-limited link to your registered email to retrieve your ZIP file.

Inside the ZIP, you’ll find organized folders for different data types—including comments, likes, and videos—alongside a key data.json file containing your core metadata.

Once you’ve downloaded and extracted the ZIP file, locate the data.json file within the folder structure.

This JSON document is the core dataset encoding your TikTok history in structured form.

Open it using a text editor like Notepad++, VS Code, or even a basic text editor if you’re comfortable viewing raw JSON.

The content is structured as complex JSON objects with nested arrays, including fields like video_id, upload_timestamp, caption_text, likes, comments, and shares.

Transforming this JSON into a usable CSV requires extracting key fields from its nested format.

If you’re not familiar with programming, you can use free online tools such as JSON to CSV converters.

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.

Keep in mind that uploading personal data to third-party websites poses privacy risks.

For better security, use offline methods.

Those with coding experience should consider using Python for precise, repeatable metadata extraction.

Install Python on your computer if you haven’t already, then use the built-in json and csv modules.

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.

Define the headers you want such as video_id, upload_date, caption, likes, comments, shares, and video_url.

Use the csv.writer function to output the data.

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.

If your data includes multiple types of metadata—like comments, likes, or followers—you may need to extract each section separately.

The structure groups data into named arrays: one for videos, another for likes, another for comments, etc.

Repeat the parsing process for each array, creating individual CSV files for each dataset.

Isolating each dataset enables targeted analysis—for example, tracking engagement trends per category without noise.

For instance, if you’re examining like trends across dates, a dedicated likes.csv file simplifies plotting and filtering.

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

Verify that no data points are missing, dates are uniformly formatted, and text displays correctly without garbled symbols.

Since TikTok exports timestamps in UTC, use spreadsheet functions to convert them into your local time.

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

TikTok’s data package may lack expected fields, particularly for newer accounts or after recent API updates.

Some fields might be missing or truncated, especially if your account was created recently or if TikTok updated its data structure.

Always cross-reference your CSV output with the original JSON to ensure completeness.

Keep your CSV files in a secure, encrypted folder—never leave them exposed or unguarded.

They may hold private insights into your behavior, relationships, and location—secure them as you would banking or medical files.

Do not upload CSVs to Dropbox, Google Drive, or similar services without encryption or password protection.

By following these steps, you transform raw TikTok metadata into a structured, reusable format that empowers you to understand your digital footprint, conduct personal analytics, or archive your content history.

From casual self-reflection to academic research, converting TikTok data to CSV unlocks the potential for deep, structured insight.