YouTube Data Tools

Tutorial by Bernhard Rieder, researcher and developer at Digital Methods Initiative. Detailed tutorial from the developer.

YouTube Data Tools at Digital Methods Initiative is a set of five online tool modules that can extract data on YouTube videos, channels, videos, and even free text search queries.

The options include detailed information about ranking, accessibility, comments, networks of channels, featured videos, etc. The network analysis program Gephi is required for the .gdf output files for the Channel Network and Video network modules. A tutorial for this will be added to NetLab’s Tools and Tutorials during Autumn 2020.

Developer and researcher Bernhard Rieder has provided an extensive tutorial, explaining how the YouTube Data Tools work with YouTube API V3. It is strongly recommended to view the entire video including the initial 15 minutes of background at least once.

For convenience, here is a list of timed links to the specific module presentations in the tutorial video:

Channel Info
– retrieves different kinds of information for a channel from a specified channel ID.

Channel Network
– crawls a network of channels connected via the “featured channels” (and via subscriptions) tab from a list of seeds. Seeds can be channels retrieved from a search or via manual input of channel IDs.

Video List
– creates a list of video infos and statistics from one of four sources: the videos uploaded to a specified channel, a playlist, the videos retrieved by a particular search query, or the videos specified by a list of IDs.

Video Network
– creates a network of relations between videos via YouTube’s “related videos” feature, starting from a search or a list of video IDs.

Video Info and Comments
– starts from a video ID and retrieves basic info for the video in question and provides a number of analyses of the comment section.

Bernhard Rieder requests that users consult the YouTube Data Tools FAQ for issues, and invites bug reports and suggestions.


Contact: Niels Brügger; nb (at)

Works on:

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