YouTube Related Video IDs for Recommendation Graphs

Created by

ScrapingMonkey

Actor

YouTube Related Videos Scraper – Recommendations

Collect recommended video IDs with the seed-video reference that produced each result. Build a directed recommendation graph in your own notebook from these source edges; the task retrieves recommendations for the supplied seeds and does not recursively crawl additional videos.

Try for free

YouTube Related Videos Scraper – Recommendationsscrapingmonkey/youtube-related-videos-scraper

Input

Status

URL

+36 fields

Input

📄 Pages per input:1

🔗 Video links(required):https://www.youtube.com/watch?v=jNQXAC9IVRw

Output fields

Input

Status

URL

Type

Title

Description

Thumbnail URL

Thumbnails / URL

Thumbnails / Width

Thumbnails / Height

Duration Seconds

Duration Text

Views

Views Text

Published Text

Badges

Is Live

Is Upcoming

Is Premiere

Is Members Only

Stream Status

Scheduled Start Time

Accessibility Text

Author / ID

Author / Name

Author / Handle

Author / URL

Author / Avatar URL

Author / Avatar Thumbnails / URL

Author / Avatar Thumbnails / Width

Author / Avatar Thumbnails / Height

Author / Is Verified

Source Video / ID

Source Video / URL

Source Video / Title

Source Video / Channel ID

Source Video / Author

Source Video / Views

Position

How it works

Sign up on Apify or log in

The YouTube Related Videos Scraper – Recommendations Actor is ready to run with the inputs already set for "YouTube Related Video IDs for Recommendation Graphs". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "YouTube Related Video IDs for Recommendation Graphs" task

The YouTube Related Videos Scraper – Recommendations Actor will start running based on the input automatically. You can also change all the input fields, like 📄 pages per input and 🔗 video links, to match your specific use case.

Receive the "YouTube Related Video IDs for Recommendation Graphs" 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 input, status, ID, 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 Related Video IDs for Recommendation Graphs" task via API.