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Automatically Record TikTok LIVE Streams

Record one active public TikTok LIVE broadcast by username as MP4 segments. Each saved segment is stored as an MP4 file with a matching Dataset row that includes room, stream, creator, audience, permissions, and interaction data. Set a maximum capture time to stop sooner, or keep Wait for the live to start off when you do not want to wait at startup.

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TikTok Live Recorder
TikTok Live Recordermaximedupre/tiktok-live-recorder
Recording segment
Live room
Stream session
Creator profile
+4 fields
Text
Number
Boolean
List
Object

Input

Find a live broadcast by(required):username
TikTok username:jimmieislive
Maximum capture time (seconds):15
Recording quality:auto
Wait for the live to start:false

Output fields

Recording segment
Live room
Stream session
Creator profile
Audience metrics
Commerce and permissions
Live interactions
Stream details

How it works

Sign up on Apify or log in

The TikTok Live Recorder Actor is ready to run with the inputs already set for "Automatically Record TikTok LIVE Streams". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Automatically Record TikTok LIVE Streams" task

The TikTok Live Recorder Actor will start running based on the input automatically. You can also change all the input fields, like find a live broadcast by, tiktok username, and more, to match your specific use case.

Receive the "Automatically Record TikTok LIVE Streams" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as recording segment, live room, stream session, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Automatically Record TikTok LIVE Streams" task via API.

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Integrate "Automatically Record TikTok LIVE Streams" into your workflow

Connect "Automatically Record TikTok LIVE Streams" with 100+ integrations, or run it via API or MCP.

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