No. It is a ready-to-run cloud tool — set the inputs and click run. Built on Reddit Video Scraper & Downloader.

Labeled Reddit Video Dataset for ML Training

ML engineers can assemble thousands of short Reddit clips labeled by subreddit and filtered to 3-30s, a dataset ready for action-recognition models.

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How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust sources, subreddits, users (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Field	What it does	Type
`sources`	Any mix of subreddits and Reddit user profiles: 'oddlysatisfying', 'r/aww', 'u/GallowBoob', or a full reddit URL. Works for ANY source.	array
`subreddits`	Optional alias — plain subreddit names, merged into sources.	array
`users`	Optional — Reddit usernames (without u/), merged into sources.	array
`sort`	top, hot (trending), new (latest), rising, or controversial.	string
`time`	Time window for top/controversial. E.g. all time, this year, this week.	string
`maxPostsPerSource`	How many video posts to return/download per source.	integer
`downloadVideos`	Download the best-quality muxed MP4 (with audio) to the key-value store. Off = return metadata + playlist URLs only.	boolean
`minDurationSeconds`	Skip videos shorter than this. 0 = no limit.	integer
`maxDurationSeconds`	Skip videos longer than this. 0 = no limit.	integer
`dedupeAcrossRuns`	Remember video IDs between runs so the same video isn't returned twice.	boolean

A structured dataset — each result includes fields like:

authorcreatedUtcdashPlaylistdurationSecondsfetchedAthasAudiohlsPlaylistidpreviewUrlredditVideoIdresolutionsourceNamesourceTypesubreddit

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.