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Dataddo Documentation

Data Sources

YouTube

Youtube Analytics

Dataddo YouTube Analytics connector enables simple API data extraction without writing a single line of code.

Available data

Dataddo YouTube Analytics connector can extract all the data available through the official API. You can find the full list of available data here.

How to create a Youtube Analytics Data Source


	Sign in to your Dataddo account and click on Sources at the top of the page.
	Click on Create Source in the top right corner.
	From the list of sources, choose Youtube Analytics. You can type the name of the connector into the search bar to find it faster.
	First, select the required Dataset and click on Next. NOTE: If you are not sure which Dataset you need, but you know which Metrics and Attributes you are looking for, you can use the Search by name or attribute function or you browse through all the possible Attributes and Metrics for each Dataset by clicking on the specific Dataset.
	From the drop-down menu, choose your Youtube Account connected to Dataddo, and then select Channel ID. Click on Next to continue with the setup. NOTE: Your channel ID is the identification number after "channel/" in your URL, for example, https://www.youtube.com/channel/UC_8GinFAuKrnbvnvxpk3YXW; or in the Advanced Settings.
a)	Add new account If you want to connect a new Youtube Account that is not on the list, click on Add Account. You will be redirected to the Google Sign In page to confirm the right account. Once you confirm, you will be redirected back to the Dataddo app.
b)	Authorize Your Account If you have not authorized your Youtube Account with Dataddo, click on Authorize and you will be redirected to your account to log in. After you log in and give Dataddo the necessary permissions to access your data, you will be redirected back to the connector.
	Choose a Name for your Data Source and select the Metrics and Attributes. To continue to the next page, click Next. NOTE: The Metrics and Attributes depend on the Dataset you selected in the previous step. If you need different Metrics and Attributes, go back two steps and change the Dataset.
	On the Storage selection page, you can set up the destination configuration. To help you with the snapshot mapping, we make it easier for you to create a connection to the destination based on your preference. A) Click on the option Dashboarding App if you want your data to connect to applications such as Google Data Studio, Power BI, or Tableau. B) Click on the option Data Warehouse, if you want your data to be sent to warehouse storage, e.g., MySQL, Big Query, or PostgreSQL.
	Configure your snapshotting preferences by choosing your Sync type, Snapshotting frequency, Time, and Timezone. Confirm your setup by clicking on Next. NOTE: If you need to load historical data, check our guide.
	In the last step, you can preview your data. Click on Save and your new Data Source is ready.
*	Broken view / Error message If you cannot see a preview of your data, go back a few steps and check your setup. The most common causes are: Date range - we recommend a smaller date range. If you need to load historical data, check our guide. Invalid metrics, attributes or breakdowns, or their combination - you may not have any values for them.

Congratulations, your new Data Source is ready!

Need assistance?

Feel free to contact us or create a ticket and we will help you set up the Data Source.