YouTube is a platform where users can upload, watch, and react to videos. YouTube Organic pulls data from your channel's non-paid (organic) traffic. This covers views, watch time, and how people react to your videos from search or from what YouTube suggests.
YouTube Organic replaces the YouTube Analytics and YouTube Video connectors.
Refer to our website for the list of metrics and attributes available in Dataddo.
Refer to Google's official documentation to see all available endpoints from the YouTube Organic API.
Authorize Connection to YouTube Organic
To authorize this service, use OAuth 2.0 to share specific data with Dataddo while keeping usernames, passwords, and other information private.
- On the Authorizers page, click on Authorize New Service and select your service.
- Follow the on-screen prompts to grant Dataddo the necessary permissions to access and retrieve your data.
- [Optional] Once your authorizer is created, click on it to change the label for easier identification.
Ensure that the account you're granting access to holds at least admin-level permissions. If necessary, assign a team member with the required permissions with the authorizer role to authenticate the service for you.
For more information, see our article on authorizers.
Data Coverage
YouTube Organic gives you the datasets below. Each dataset maps to a table you can extract. The example fields are just a sample. Each dataset returns more columns.
| Dataset | Description | Example fields | Date range |
|---|---|---|---|
| Owned Channel Videos Annotations Performance | Statistics on the performance of individual annotations across a channel’s videos, including impressions, clicks, and close rates. | Date, Channel ID, Video ID, Click-Through Rate, Clickable Impressions, Annotation Clicks (+9 more) | No |
| Owned Channel Videos Basic User Activity | Aggregated user activity metrics for a channel’s videos, including views, engagement, watch time, and subscriber changes. | Date, Channel ID, Video ID, Annotation Click-Through Rate, Clickable Annotation Impressions, Annotation Clicks (+28 more) | No |
| Owned Channel Videos Cards Performance | Statistics on the performance of individual cards across a channel’s videos, including impressions, clicks, and click-through rates. | Date, Channel ID, Video ID, Card Click Rate, Card Clicks, Card ID (+8 more) | No |
| Owned Channel Videos Combined Playback Insights | Statistics on video playback, combining dimensions such as playback location, traffic source, device type, and operating system to offer a comprehensive view of viewer behavior. | Date, Channel ID, Video ID, Average View Duration (%), Average View Duration (Seconds), Country Code (+11 more) | No |
| Owned Channel Videos Demographics | Demographic distribution of viewers for a channel’s videos, segmented by age group and gender, along with the percentage of views attributed to each demographic segment. | Date, Channel ID, Video ID, Age Group, Country Code, Gender (+3 more) | No |
| Owned Channel Videos Device & OS Performance | Video viewing statistics based on viewers’ device types and operating systems, offering insights into how content is consumed across different platforms. | Date, Channel ID, Video ID, Average View Duration (%), Average View Duration (Seconds), Country Code (+9 more) | No |
| Owned Channel Videos End Screens Performance | Impression and click-through statistics for end screens that display after a video stops playing. The report contains statistics for a channel’s videos. | Date, Channel ID, Video ID, Country Code, End Screen Element Click Rate, End Screen Element Clicks (+5 more) | No |
| Owned Channel Videos Playback Location | Statistics related to the type of page or application where video playbacks occurred. It helps identify where viewers are watching your videos, such as on the YouTube watch page, embedded players on other websites, or mobile devices. | Date, Channel ID, Video ID, Average View Duration (%), Average View Duration (Seconds), Country Code (+9 more) | No |
| Owned Channel Videos Performance by U.S. State | User activity statistics for a channel’s videos, broken down by U.S. states and the District of Columbia. It includes metrics such as views, watch time, average view duration, and interaction rates for annotations and cards. | Date, Channel ID, Video ID, Annotation Click-Through Rate, Annotation Clickable Impressions, Annotation Clicks (+21 more) | No |
| Owned Channel Videos Sharing Services | Statistics showing how frequently the channel’s videos were shared through different sharing services. It includes metrics on the number of shares per service, offering insights into viewer engagement and content dissemination patterns. | Date, Channel ID, Video ID, Country Code, Live or On-Demand, Shares (+2 more) | No |
| Owned Channel Videos Subtitles Usage | Statistics about the closed caption language that is used for the longest time during video views. Views in which captions are mostly turned off are excluded. | Date, Channel ID, Video ID, Average View Duration (%), Average View Duration (Seconds), Country Code (+9 more) | No |
| Owned Channel Videos Traffic Sources | Viewing statistics based on how viewers reached the channel’s video content. For example, it identifies the number of views that stemmed from a Google search or from a link to a related video. | Date, Channel ID, Video ID, Average View Duration (%), Average View Duration (Seconds), Country Code (+9 more) | No |
| Channels Metadata | List of available YouTube Channels | Channel ID, Description, Is Channel Monetization Enabled, Is Linked, Localized Title, Long Uploads Status (+6 more) | No |
| Comments | List of Comments to Videos. | Comment ID, Author Channel URL, Author Display Name, Can Rate Comment, Can Reply Comment, Channel ID (+8 more) | No |
| Managed Channels Videos Basic User Activity | Aggregated metrics for user activity across all managed channels’ videos, including views, engagement, watch time, and subscriber growth or loss. | Date, Channel ID, Video ID, Annotation Click-Through Rate, Clickable Annotation Impressions, Annotation Clicks (+30 more) | No |
| Members Metadata | Lists members (formerly known as "sponsors") for a channel | Member ID, Channel ID, Channel URL, Display Name, Highest Accessible Level, Highest Accessible Level Display Name (+3 more) | No |
| Playlist Basic User Activity | Users’ interactions with a channel’s playlists. It includes metrics such as views, watch time, average view duration, playlist starts, and the number of times playlists were saved or removed. | Date, Channel ID, Playlist ID, Video ID, Average View Duration (Seconds), Country Code (+8 more) | No |
| Playlist Combined User Activity | Statistics by combining dimensions used in the playback location, traffic source, and device/OS reports. It includes metrics such as views, watch time, average view duration, playlist starts, and the number of times playlists were saved or removed. | Date, Channel ID, Playlist ID, Video ID, Average View Duration (Seconds), Country Code (+12 more) | No |
| Playlist Device and Operating System | Viewing statistics based on viewers’ operating systems and device types. For example, it identifies the number of views that occurred on Android tablets or on Windows desktop devices. | Date, Channel ID, Playlist ID, Video ID, Average View Duration (Seconds), Country Code (+10 more) | No |
| Playlist Playback Location | Statistics related to the type of page or application where playlist playbacks occurred. | Date, Channel ID, Playlist ID, Video ID, Average View Duration (Seconds), Country Code (+10 more) | No |
| Playlist User Activity by Province | User activity statistics related to users’ interactions with a channel’s playlists for U.S. states and the District of Columbia. It includes metrics such as views, watch time, average view duration, playlist starts, and the number of times playlists were saved or removed. | Date, Playlist ID, Video ID, Average View Duration (Seconds), Channel ID, Country Code (+9 more) | No |
| Playlist Traffic Sources | Viewing statistics based on how viewers reached a channel’s playlist videos. For example, it identifies the number of views that stemmed from a Google search or from a link to a related video. | Date, Channel ID, Playlist ID, Video ID, Average View Duration (Seconds), Country Code (+10 more) | No |
| Playlists Metadata | List of the Channel Playlists | Playlist ID, Channel ID, Channel Title, Description, Videos Count, Localized Title (+2 more) | No |
| Replies | List of Replies to Video Comments. | Reply ID, Author Display Name, Reply Comment Can Rate, Channel ID, Comment ID, Reply Comment Like Count (+6 more) | No |
| Videos Metadata | List of Channel Videos | Video ID, Category ID, Channel ID, Channel Title, Comment Count, Description (+10 more) | No |
| Videos by Playlists | List of Channel Videos by Playlists | Video ID, Playlist ID, Category ID, Channel ID, Channel Title, Comment Count (+11 more) | No |
How Data Extraction Works
None of this connector's datasets use a date range. Every run pulls all currently available data.
Metadata Columns
When you create a source, you can add these Dataddo metadata columns to the extracted data:
- dataddo_hash - a fingerprint built from each record's key fields. It works as a natural key, so it is ideal for upserts (updating existing rows in your destination instead of creating duplicates).
- dataddo_extraction_timestamp - the date and time the row was extracted. Use it to track how records change over time, for example to build slowly changing dimensions.
How to Create a YouTube Organic Data Source
Creating a data source takes you through six steps, shown in the progress bar at the top of the wizard. Each step is explained below.
1. Pick the connector
On the Sources page, click Create Source, then select the connector from the catalog. Use the search bar or the category tabs if you do not see it right away. You can rename the source at any time using the pencil icon next to its name.
2. Select the dataset
A dataset defines the shape of your data: which fields you get and how they relate. Select the dataset you want; you can still fine-tune the exact fields later.
- Each dataset has a short description of what it contains. Use the search box to find a dataset, attribute, or metric by name.
- The panel on the right previews the selected dataset's fields. For each field you can see its data type, whether it holds sensitive data (personal fields such as name or email are flagged), and which other datasets it links to, so you can see how the datasets relate.
3. Choose the account
This step selects what Dataddo reads from.
- Authorizer: Select an account you have already authorized from the drop-down. If you have none yet, choose Add new account and follow the prompts. If no authorizer is selected, Dataddo asks you to authorize before you continue.
- What to extract from: Select the exact entity you want to pull data from. Depending on the service this may be labelled an account, property, profile, workspace, or similar, sometimes with a sub-level to choose as well.
- Multiple accounts: To pull the same data from every entity you can access, turn on Automatically collect data from all .... This is multi-account extraction. Leave it off to choose them by hand.
4. Refine the attributes and metrics
The dataset already sets the structure. Here you fine-tune it: tick or untick the specific attributes and metrics you want to keep, and use the search box to find a field quickly. Click Test on Sample Data at any point to preview the result before you continue.
5. Add metadata columns (optional)
Two optional columns help your destination handle the data.
- Dataddo Hash (Include Row Hash): a fingerprint built from the columns you pick. It works as a natural key, so your destination can deduplicate rows and run upserts instead of creating duplicates. Turn it on, then select the columns that uniquely identify a row.
- Dataddo Extraction Timestamp: the time each row was extracted. Use it to watermark the data, for example to build slowly changing dimensions or to track when a value last changed.
6. Set the schedule
Decide how often Dataddo runs the extraction.
- Frequency: how often the pipeline runs, for example daily. Click Show advanced settings to also set the exact hour and minute (UTC).
- Date range: the relative window each run extracts, for example "Yesterday". The window moves forward on every run.
- Historical data: a new source starts from the current window. To load older data, run a full data re-sync after the source is created.
- Allow Empty Data Extractions: when on, a run that returns no data records zero rows instead of failing. Turn it on if the source can legitimately have periods with no data.
Click Save. Your data source is ready.
Troubleshooting
Data Preview Unavailable
No data preview when you click on Test Data might be caused by an issue with your source configuration. The most common causes are:
- Date range: Try a smaller date range. You can load the rest of your data afterward via manual data load.
- Insufficient permissions: Please make sure your authorized account has at least admin-level permissions.
Metric and Ad Recall Data Don't Match
The Reach and Recall metrics cannot be summed to get the totals for longer time periods. As these metrics measure the daily unique users who view your ad (= reach) or will remember the ad (=ad recall), it is not possible to get data for a specific time period and/or aggregate the data.
To avoid this, you can
- Get daily breakdowns: The daily values will match, but not when summed up over a longer time period.
- Extract data weekly or monthly: These weekly/monthly values will match.
Simply create a new source and a new flow with the particular breakdown (for example, a source and a flow with daily breakdowns/synchronizations).
Read more about the metrics, and why the data may not be matching here.
Related Articles
Now that you have successfully created a data source, see how you can connect your data to a dashboarding app or a data storage.
Sending Data to Dashboarding Apps
Sending Data to Data Storages
Other Resources