How to Export TikTok Metadata to CSV
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조회 2회 작성일 26-01-05 19:27
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Converting TikTok metadata into CSV enables seamless integration with spreadsheets, databases, and analytical tools for deeper insight.
Whether your data came from TikTok’s native export or an external scraper, structuring it as CSV enhances compatibility with common data management systems.
Follow this detailed walkthrough to ensure a smooth and error-free conversion process.
Start the process by initiating a data download tiktok video to mp3 online request through the TikTok app.
Launch the TikTok application on your phone, go to your profile page, click the menu icon in the upper-right, and choose Settings and Privacy.
Next, select the "Download Your Data" button.
The system will ask you to verify your email before proceeding with the request.
Within several hours or as long as two days, an email will arrive with a secure link to your data archive.
This archive includes several folders and files, such as comments, likes, videos, followers, and a JSON file named data.json which holds much of your metadata.
After unzipping the archive, navigate through the directories to find the data.json file.
The data.json file serves as the main repository for your TikTok behavioral and engagement data.
Open it using a text editor like Notepad++, VS Code, or even a basic text editor if you’re comfortable viewing raw JSON.
It organizes data in hierarchical arrays and nested objects containing fields like video identifiers, upload times, video descriptions, number of likes, replies, and additional metrics.
A successful conversion demands parsing the nested JSON and mapping desired attributes to tabular columns.
For non-developers, online utilities like json-csv.com or convertcsv.com offer simple drag-and-drop conversion.
Paste the entire JSON content into the input field of the converter, and it will generate a downloadable CSV within seconds.
Be vigilant: your data includes intimate details, so avoid public online converters if privacy is a concern.
To protect your information, perform the conversion locally on your device.
For users comfortable with coding, Python is an excellent option.
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.
Choose the metadata columns you need—common ones include video_id, upload_date, caption, like_count, comment_count, share_count, and video_url.
Apply the csv.writer() method to write rows of data into your output file.
Save the script and run it from your terminal or command prompt.
You’ll generate a structured, error-free CSV file immediately usable in Excel or Google Sheets.
Some datasets like comments, likes, and followers are stored in separate JSON arrays—handle each as a unique data source.
The data.json file often contains separate arrays for each type.
Apply the same extraction method to every array, saving each as a separate CSV file like comments.csv, likes.csv, followers.csv.
Separating data into individual files lets you focus on specific metrics without interference.
Consider analyzing engagement patterns: a standalone likes.csv file lets you easily graph trends over time.
Once exported, inspect your CSVs using Excel, Google Sheets, or LibreOffice Calc to verify accuracy.
Look for empty cells, mismatched date styles, or unusual character encoding problems.
Since TikTok exports timestamps in UTC, use spreadsheet functions to convert them into your local time.
Apply built-in functions such as TEXT(value,"yyyy-mm-dd hh:mm") to standardize date presentation.
TikTok’s data package may lack expected fields, particularly for newer accounts or after recent API updates.
If your profile is young or TikTok changed its data schema, expect gaps or shortened entries in the export.
For accuracy, manually check a sample of your CSV rows against the original JSON to validate data integrity.
Since these files contain private data, store them safely using password protection or secure cloud storage.
These files include intimate details like watch logs, comment threads, and geotags—handle them as confidential.
Avoid uploading them to unsecured cloud services, and consider encrypting them if you plan to share them with others.
These steps turn unstructured TikTok data into a usable, organized format, helping you reflect on your online behavior, perform self-analysis, or preserve your digital legacy.
From casual self-reflection to academic research, converting TikTok data to CSV unlocks the potential for deep, structured insight.