Data connector

Send YouTube data to AI, reports, spreadsheets and ETL

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YouTube

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Access comprehensive YouTube analytics including daily channel statistics, video performance metrics, and playlist management data through Kondado’s direct data source. Replicate detailed insights such as views, likes, comments, subscriber gains and losses, average view duration, and minutes watched directly from the YouTube API into your preferred destination. Whether you need granular daily video statistics to track individual content performance or high-level channel trends monitoring subscriber fluctuations, this data source delivers the exact metrics required for content strategy optimization and audience growth analysis.

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Kondado’s YouTube data source provides 6 distinct pipelines containing 114 total fields, covering Daily Channel Statistics, Daily Video Statistics, Playlist Items, Playlists, Daily Video Views, and Daily Channel Views.

Marketing teams can analyze audience engagement patterns and track subscriber growth trends to optimize publishing schedules and content calendars, while data analysts build custom youtube dashboards correlating video performance with conversion metrics and traffic sources. Operations teams monitor content inventory through playlist pipelines to ensure organized video libraries, and measure watch time analytics to identify high-performing video categories and optimal video lengths. These automated data flows enable stakeholders to generate comprehensive reports without manual CSV exports, supporting strategic decisions across content creation workflows, advertising spend allocation, and multi-channel growth initiatives.

The Kondado platform takes care of refreshing YouTube data, allowing you to stop wasting time with manual work and complex workflows, and focus on analyzing YouTube data with AI (Claude, ChatGPT and MCP) or in your report, spreadsheet, data warehouse, data lake, or database

Try out all the features for free for 14 days

The following pipelines extract specific YouTube data endpoints to support comprehensive video analytics and channel management requirements. Daily Channel Statistics captures subscriber gains and losses alongside total views to track overall channel health and growth velocity, while Daily Video Statistics reveals individual content performance through detailed likes, comments, and average view duration metrics that indicate audience engagement quality. Playlist Items and Playlists pipelines organize your content library by exposing video positions within collections, privacy statuses, and playlist-level metadata essential for content categorization strategies. Daily Video Views and Daily Channel Views deliver granular watch time analytics broken down by day, enabling precise understanding of when your audience consumes content most actively.

By merging these datasets, you can correlate overall channel traffic trends with specific video performance metrics to identify which content categories drive the most valuable watch time during peak engagement periods. With automated updates running on a configurable schedule ranging from every 5 minutes to daily intervals, your youtube dashboard remains current with the latest performance indicators, enabling continuous monitoring of critical KPIs without manual data refreshing.

Connector schema

Available YouTube data

available pipelines

114

extractable fields

Available integrations

Daily Channel Statistics

Analyze metrics such as views, likes, and comments per day, along with data on subscribers gained and lost.

Daily Video Statistics

Examine daily views, likes, and comments of videos, along with metrics like average view duration.

Playlist Items

Details videos in playlists, including title, description, and publication date, along with the video's position in the playlist.

Playlists

Provides information about playlists, such as title, description, and privacy status, along with the number of videos in the playlist.

Daily Video Views

Presents daily views and minutes watched, allowing detailed analysis by video and channel.

Daily Channel Views

Shows views and minutes watched per day, with options for detailing by channel and other dimensions.

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How to visualize YouTube data in 3 steps

Connect YouTube to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, or databases — no code required.

Add YouTube Data Source to Kondado

Connect your YouTube channel by selecting the YouTube data source from Kondado's catalog and completing the OAuth authentication process to grant data access permissions.

Select Pipelines and Configure Destination

Choose from the 6 available pipelines such as Daily Channel Statistics or Daily Video Statistics, then select where to send your data: Power BI, Looker Studio, Google Sheets, BigQuery, PostgreSQL, MySQL, Excel, Redshift, SQL Server, or Amazon S3.

Visualize Data in Dashboards, Sheets, or Databases

Build custom youtube dashboards in your BI tools, analyze trends in Google Sheets spreadsheets for team collaboration, or query structured tables in BigQuery, PostgreSQL, or other databases to combine YouTube metrics with your business data for comprehensive reporting.

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Pick an AI, Spreadsheet, Database, Data Warehouse or Data Lake to use YouTube data

YouTube > AI (Claude, ChatGPT, MCP)

YouTube > Looker Studio

YouTube > Power BI

Other visualizations

YouTube > Amazon S3

YouTube > BigQuery

YouTube > Excel

YouTube > Google Sheets

YouTube > MySQL

YouTube > PostgreSQL

YouTube > Redshift

YouTube > SQL Server

Choose a tool to visualize your YouTube data

If the software you need is not listed, drop us a messagem. You can use almost every tool

YouTube > Airtable

YouTube > Alteryx

YouTube > Amazon Quicksight

YouTube > BIMachine

YouTube > Cortex

YouTube > Data Studio

YouTube > Geckoboard

YouTube > Grafana

YouTube > IBM Cognos Analytics

YouTube > Klipfolio

YouTube > Looker Studio

YouTube > Looker

YouTube > Looqbox

YouTube > Metabase

YouTube > Microstrategy

YouTube > Pentaho

YouTube > Power BI

YouTube > Qlik Cloud Analytics

YouTube > Qlik Sense

YouTube > Qlik

YouTube > QlikView

YouTube > Redash

YouTube > Superset

YouTube > Tableau

YouTube > BI TOTVS

YouTube > Zoho Analytics

Frequently Asked Questions (FAQ)

Find answers to common questions about connecting YouTube to AI (Claude/ChatGPT via MCP), dashboards, spreadsheets, and databases

What specific YouTube metrics and dimensions are available through Kondado's data source? ▼

You can access 114 fields across 6 pipelines including daily subscriber counts, video views, likes, comments, average view duration, minutes watched, playlist privacy settings, and video positions within playlists. The data source extracts both aggregate channel statistics and granular video-level performance data directly from the YouTube API.

How do I connect YouTube to Power BI or Looker Studio using Kondado? ▼

After authenticating your YouTube channel through Kondado's interface, select your desired pipelines and choose Power BI or Looker Studio as your destination. The platform automatically replicates your YouTube analytics into these BI tools on your configured schedule, enabling immediate dashboard creation without manual data preparation.

What update frequency options are available for YouTube data replication? ▼

Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, allowing you to balance data freshness with API quota management. You can configure different schedules for each pipeline, such as hourly updates for Daily Video Statistics during campaign launches and daily updates for Playlist metadata.

Can I combine YouTube data with other marketing platforms in my analytics warehouse? ▼

Yes, you can send YouTube pipelines to BigQuery, PostgreSQL, or other databases alongside data from Facebook Ads, Google Ads, and Instagram. This enables cross-platform analysis comparing video performance against paid media metrics and website conversion data in a unified environment.

What types of YouTube dashboards can I build with this data? ▼

You can create custom dashboards tracking subscriber growth trends, video engagement rates, playlist performance analytics, and watch time heatmaps by day of week. These reports support content strategy decisions by revealing optimal posting times, high-performing video categories, and audience retention patterns across your channel library.

How does the Playlist Items pipeline help with content organization analysis? ▼

The Playlist Items pipeline extracts video titles, descriptions, publication dates, and positional data within each playlist, allowing you to analyze how content sequencing affects viewer retention. You can identify which videos perform best at specific playlist positions and optimize your content categorization strategy based on playlist-level engagement patterns.

Can I analyze historical YouTube search history or audience demographics with Kondado? ▼

The available pipelines focus on public video performance metrics, playlist structures, and channel statistics rather than private user search history or detailed demographic breakdowns. You can analyze historical performance trends for your own videos dating back to channel creation, including daily view counts and engagement metrics over time.

Is it possible to send YouTube data to Google Sheets for team reporting? ▼

Yes, you can replicate YouTube analytics directly to Google Sheets for automated team reports and stakeholder updates. This enables marketing teams to share daily video performance snapshots, subscriber growth reports, and playlist inventories through familiar spreadsheet formats without manual data entry.

Related on Kondado

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