YouTube Reporting API

Name: YouTube Reporting API API
Brand: YouTube Reporting API
Availability: InStock

✓ Official Vendor SpecAnalyticsData Pipelinesoauth28 EndpointsREST

For Agents

Schedule recurring bulk CSV exports of YouTube channel analytics and download the resulting report files. For warehousing and historical backfill rather than live queries.

Quickstart

Get started with YouTube Reporting API in minutes using your preferred integration method.

# Add to your MCP client config (Claude Desktop, Cursor, Windsurf)
{
  "jentic": {
    "url": "https://api.jentic.com/mcp",
    "auth": "oauth"
  }
}

# Then ask your agent:
"create a youtube reporting job"

# → Jentic returns the GET /events tool with parameter schema, agent executes.

Capabilities

What an agent can do with YouTube Reporting API API.

List available reportTypes covering channel, content owner, and ad performance

Create a recurring reporting job for a chosen reportType

List existing jobs and pull the reports they have produced

Download a specific report CSV by its resourceName

Delete a reporting job that is no longer needed

GET STARTED

Start building with YouTube Reporting API API

Explore with Jentic

View OpenAPI Document

Use Cases

Patterns agents use YouTube Reporting API API for, with concrete tasks.

★ Warehouse load of channel analytics

Data teams pull historical channel and video analytics into BigQuery or another warehouse by creating reporting jobs for the relevant reportTypes and downloading the daily CSVs. Because reports are pre-computed by YouTube, they are far cheaper to consume than running parameterised analytics queries every hour. Backfills run by enumerating /v1/jobs/{jobId}/reports across past days.

Create a job for reportType channel_basic_a2 via POST /v1/jobs, then list /v1/jobs/{jobId}/reports for a date range and download each via /v1/media/{resourceName}.

Multi-channel network reporting

Networks managing many channels prefer the Reporting API for its content-owner reportTypes that aggregate across an entire network in a single CSV. This avoids running thousands of per-channel analytics queries and produces a clean partitioned dataset suitable for downstream BI work. The reportTypes endpoint advertises which content-owner reports the authorised account can subscribe to.

List available reportTypes, find ones starting with content_owner_, create jobs for the relevant types, and store the resulting CSVs partitioned by date.

Ad performance backfill

Teams analysing monetisation pull ad-performance reportTypes — covering ad impressions, monetised playbacks, and partner revenue — into the warehouse alongside content metrics. This produces a unified dataset for forecasting and creator payout reconciliation. Because the API is bulk and idempotent, late-arriving corrections from YouTube can be re-pulled without complex deduplication logic.

Create a reporting job for an ad-performance reportType, then daily download the latest report and load it into a warehouse table partitioned by date.

Agent-driven backfill orchestration through Jentic

A data-platform agent can manage YouTube reporting jobs — creating, pausing, and re-pulling reports during a backfill — through Jentic without engineers writing job-management code. The agent searches Jentic for create youtube reporting job, loads the operation schema, and executes against each reportType. Tokens stay isolated in the Jentic vault.

Through Jentic, list reportTypes, create a job for each one the team needs, and emit a list of jobIds and the first reports each one produced.

Key Endpoints

8 endpoints — the youtube reporting api schedules and downloads bulk csv reports of youtube channel and content analytics.

METHOD

PATH

DESCRIPTION

GET

/v1/reportTypes

List available report types

POST

/v1/jobs

Create a reporting job

GET

/v1/jobs

List existing jobs

GET

/v1/jobs/{jobId}/reports

List reports for a job

GET

/v1/jobs/{jobId}/reports/{reportId}

Get report metadata

GET

/v1/media/{+resourceName}

Download a report CSV

GET

/v1/reportTypes

List available report types

POST

/v1/jobs

Create a reporting job

GET

/v1/jobs

List existing jobs

GET

/v1/jobs/{jobId}/reports

List reports for a job

GET

/v1/jobs/{jobId}/reports/{reportId}

Get report metadata

GET

Why though Jentic?

Three things that make agents converge on Jentic-routed access.

Credential isolation

OAuth 2.0 client credentials and the authorising user's refresh token are stored encrypted in the Jentic vault. Agents receive scoped access tokens at execution; raw refresh tokens never leave the vault.

Intent-based discovery

Agents call Jentic search with intents like create a youtube reporting job or list available report types and Jentic returns the matching operation with its input schema.

Time to first call

Direct integration: 1-2 days for OAuth, job creation, and CSV download pipeline. Through Jentic: under an hour to schedule the first job and pull a report.

Related APIs

Alternatives and complements available in the Jentic catalogue.

Alternative

YouTube Analytics API

Real-time parameterised analytics queries instead of bulk CSV exports

Choose YouTube Analytics for live dashboards. Choose YouTube Reporting for warehousing and backfill.

Complementary

YouTube Data API

Channel and video metadata to join against report rows

Use YouTube Data to enrich report rows with current titles, tags, and metadata.

Complementary

Google Drive API

Store downloaded CSV reports for sharing with non-warehouse users

Land report CSVs in Drive when finance or partner teams need direct access without warehouse credentials.

FAQs

Specific to using YouTube Reporting API API through Jentic.

What authentication does the YouTube Reporting API use?

OAuth 2.0 (Oauth2 and Oauth2c schemes) with the youtube.readonly or yt-analytics.readonly scope for channel reports, and yt-analytics-monetary.readonly for monetary data. Through Jentic the OAuth credentials are stored encrypted and short-lived access tokens are minted at execution time.

How is this different from the YouTube Analytics API?

Reporting produces scheduled bulk CSVs that you download and load into a warehouse. Analytics returns parameterised JSON results in real time. Reporting is cheaper and easier for backfills; Analytics is better for live dashboards. Most data teams use both for different layers of their stack.

What are the rate limits for the YouTube Reporting API?

Per-project quotas are managed in the Cloud Console under APIs and Services and are sized for job creation and report download volume. Job creation limits are low because reports run server-side; download throughput is the more common bound and depends on report size.

How do I create a reporting job through Jentic?

Search Jentic for create youtube reporting job, load the schema for POST /v1/jobs, and execute it with reportTypeId set to the desired type from /v1/reportTypes. The response includes the jobId; subsequent reports show up under /v1/jobs/{jobId}/reports daily.

How do I download a report file?

Each report has a resourceName. Call GET /v1/media/{+resourceName} to stream the CSV. The endpoint returns the raw report bytes; clients should write directly to disk or to a warehouse staging bucket rather than buffering in memory for large reports.