YouTube Recommendation Chain Trace
SIÁN OÜ
Follow the recommendation chain four hops out from any video. Every row carries its depth, its parent video and the full path back to the seed.
Input
Output fields
Sign up on Apify or log in
The YouTube Related Videos Graph Crawler Actor is ready to run with the inputs already set for "YouTube Recommendation Chain Trace". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
Start the "YouTube Recommendation Chain Trace" task
The YouTube Related Videos Graph Crawler Actor will start running based on the input automatically. You can also change all the input fields, like 🎬 seed video id or youtube url (single-seed mode), 🔁 max hop depth, and more, to match your specific use case.
Receive the "YouTube Recommendation Chain Trace" 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 🖼️ thumbnail, depth, 🗂️ type, 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 "YouTube Recommendation Chain Trace" task via API.
