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Data Marketplace · Social & media

YouTube Video Metadata Dataset

Build structured YouTube video and channel records with publication, caption, topic, and engagement metadata.

Request YouTube sampleView fields
  • Records Video · Channel · Publication event
  • Source YouTube
  • Formats JSON · CSV · Parquet
Dataset preview · youtube video metadataReady
Observation 01

An illustrative view of how video, channel, publication e…

.

Field 01
An illustrative view of how video, channel, publication e…
{
  "video_id": "illustrative-video-42",
  "title": "Illustrative product walkthrough",
  "channel": {
    "name": "Example Channel"
  },
  "published_at": "2026-08-01T09:00:00Z",
  "duration": "PT8M20S",
  "engagement": {
    "views_observed": 14200
  },
  "captured_at": "2026-…
An illustrative view of how video, channel, publication event and collection context arrive together.

Schema and fields

Build on YouTube records with context attached.

Start with video, channel, publication event. Source identity, collection time, and field meaning stay connected so records can move into analysis without losing their context.

video_id string

Source video identity

title string

Displayed video title

channel object

Public channel context

published_at timestamp

Displayed publication time

description string

Public video description

duration string

Displayed duration

engagement object

Observed public counts

captured_at timestamp

Collection time

Freshness and delivery

Keep YouTube data aligned with your analysis cycle.

Set refreshes around new-publication discovery and the point-in-time engagement or metadata observations used in analysis.

Snapshot Start from a dated baseline Selected scope and collection window

Refresh Receive recurring updates Cadence and change behavior

Format Use JSON, CSV, or Parquet Schema, partitioning, and manifest

Validation Run repeatable checks Counts, fields, missing states, and version

YouTube applications

Put YouTube records to work.

Use source-linked, time-stamped records for video catalog research, plus content and trend analysis. Each application starts from the same documented fields and collection context.

01

Video catalog research

Build public video and channel inventories for selected topics, publishers, or query scopes.

02

Content and trend analysis

Compare titles, descriptions, publication patterns, topics, and observed engagement.

03

Publisher monitoring

Track newly observed videos and metadata changes across selected public channels.

From sample to production

Test YouTube Video Metadata records in your data stack.

Start with representative rows, run the joins and calculations that matter, and shape delivery around the system that will consume the data.

  1. 01

    Choose the useful scope

    Select the entities, markets, fields, dates, and business output the collection should support.

  2. 02

    Run a sample through your stack

    Check identifiers, fields, joins, missing states, and source context with your own queries or models.

  3. 03

    Set the delivery pattern

    Choose the snapshot or recurring schedule, file format, partitions, manifest, and destination.

YouTube dataset FAQ

Plan the right YouTube Video Metadata collection.

What does the YouTube Video Metadata Dataset include?

Build structured YouTube video and channel records with publication, caption, topic, and engagement metadata. Core records include video, channel, publication event, caption metadata, engagement observation.

What can I build with YouTube data?

Common applications include video catalog research, content and trend analysis, publisher monitoring. Start with the fields and time window required by the business output.

How can the YouTube dataset stay current?

Set refreshes around new-publication discovery and the point-in-time engagement or metadata observations used in analysis.

When should I use the YouTube API instead?

Use the on-demand API when your application chooses individual requests and timing. Choose this dataset for a prepared bulk snapshot or recurring file delivery.

Continue the data journey

Connect YouTube data to the wider use case.

Compare the adjacent dataset, open the source API, or continue into the relevant data, industry, and solution pages.

Start with real records

Request a YouTube dataset sample.

Tell us which video and channel data you need, plus the markets, fields, dates, and destination. We will map the collection to that requirement.

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