Channel Report

The Channel Report can be used to request and retrieve various predefined video and playlist reports from the YouTube Reporting platform.

You can read more about this end-point on the YouTube Reporting API documentation page here


Owing to the limitations of the API, it takes two days(post report generation on the YouTube platform) to retrieve the report and stream it into your data warehouse. This must be borne in mind when configuring the pipeline and deciding on the pipeline scheduling.

Configuring the Credentials

Select the account credentials which has access to relevant YouTube Reporting data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select _ Channel Report_ from the dropdown

youtube reporting channel report list
Report Type

Select the name of the report that you need from the dropdown.

Setting Parameters

Parameter Description Values

Fetch Mode


Specifies the manner in which data will be fetched from the YouTube Reporting API : FULL will fetch the entire data in each run. INCREMENTAL will only fetch the new records after the latest update.

{Full, Incremental}

Default Value: INCREMENTAL

Start Date


Indicate the date from which you wish to begin processing the data files. You can only configure this parameter once while setting up a new pipeline. This parameter cannot be changed once the pipeline is configured.

Specify the Start Date

youtube reporting channel report config

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.


Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

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