Analytics & BI

YouTube Analytics Data Extractor

Vern's YouTube Analytics extractor imports a new user's analytics & bi data — channel annotations a1, channel basic a3, channel cards a1, and channel combined a3 — into your product through a single managed migration, handling YouTube Analytics's auth, pagination, and rate limits for you. It's built for teams onboarding customers off YouTube Analytics who want their data in your app from day one.

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YouTube Analytics

SaaS API (REST)

Managed auth, retries, and throttling

Normalized JSON, CSV, and DB-ready output

Cleaned JSON, CSV, and DB-ready output

Export coverage

Know exactly what Vern pulls before you migrate.

Objects Vern extracts

Vern extracts the full set of queryable YouTube Analytics objects (18 total), including: Channel Annotations A1, Channel Basic A3, Channel Cards A1, Channel Combined A3, Channel Demographics A1, Channel Device Os A3, Channel End Screens A1, Channel Playback Location A3, Channel Province A3, Channel Sharing Service A1, Channel Subtitles A3, Channel Traffic Source A3, Playlist Basic A2, Playlist Combined A2, Playlist Device Os A2, Playlist Playback Location A2, Playlist Province A2, and Playlist Traffic Source A2.

Output schema

Normalized JSON per object with referential keys preserved, so the relationships between your user's records survive the import. Timestamps are returned in ISO 8601. Delivered as JSON or CSV, or loaded straight into your own application database or pushed to your API — whatever your product expects.

Where it can land

Your own application database (Postgres, MySQL), a direct push to your API or webhook, or JSON/CSV files, plus another analytics & bi system (Appfigures, Appfollow, Chartmogul) when a user is switching tools.

Source details

Built for the source type shown above, with extractor content refreshed from the collection record.

Managed by Vern

The details you normally have to build yourself.

Authentication

OAuth 2.0 (Authorization Code flow). Your new user authorizes YouTube Analytics once during onboarding — their credentials never touch your code. YouTube Analytics access tokens are short-lived and refresh tokens roll on the provider's own schedule, so Vern manages the full token lifecycle and refresh and the import never drops midway. See YouTube Analytics's authentication guide.

Pagination

Vern detects and handles YouTube Analytics's paging model (cursor, page-number, or offset) internally and returns one consistent, de-duplicated result set — so you import a user's complete data without ever managing page tokens.

Rate limits and gotchas

YouTube Analytics enforces its own API rate limits (see YouTube Analytics's rate-limit docs). Vern queues and throttles requests internally so importing a new user's data never trips a 429 — even on a large account.

OAuth-based sources expire access tokens frequently and require a working refresh flow — a dropped refresh is the most common cause of a half-finished import. Vern owns the refresh loop so a new user's onboarding completes even on a long extraction.

API quickstart

1. Create a migration for YouTube Analytics
curl -X POST https://app.vern.so/api/v1/migrations \
  -H "x-api-key: $VERN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "name": "YouTube Analytics → Postgres", "source": "YouTube Analytics" }'
→ { "migration_id": "mig_..." }
2. Generate the extraction recipe (pulls live via the YouTube Analytics API)
curl -X POST https://app.vern.so/api/v1/migrations/$MIGRATION_ID/runs \
  -H "x-api-key: $VERN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "kind": "generate", "extract_via_api": true }'
3. Run the approved extraction
curl -X POST https://app.vern.so/api/v1/migrations/$MIGRATION_ID/runs \
  -H "x-api-key: $VERN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "kind": "execute" }'
4. Download the normalized CSV export
curl https://app.vern.so/api/v1/migrations/$MIGRATION_ID/exports/{template} \
  -H "x-api-key: $VERN_API_KEY" -o youtube-analytics_export.csv

A cleaner way to extract without rebuilding source-specific plumbing.

View docs

Common questions

Can I keep a user's YouTube Analytics data in sync after the first import? Vern supports re-running an import on demand; incremental change tracking depends on what YouTube Analytics's API exposes for each object.

Can I move a user from YouTube Analytics to Appfigures? Yes — Vern normalizes the YouTube Analytics data model into typed tables that map cleanly onto Appfigures and into your own product.

What does it cost to read the YouTube Analytics API? YouTube Analytics's own API access follows YouTube Analytics's pricing/plan; Vern is billed separately per import. Check YouTube Analytics's developer docs for their current limits.