No-code pipeline · YouTube → MySQL

Send data from YouTube to MySQL

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From YouTube to MySQL: managed, scheduled, no code.

Kondado provides a direct integration between YouTube and MySQL, replicating channel statistics, video metrics, and playlist data on a configurable schedule ranging from every 5 minutes to daily, loading structured data directly into your MySQL database without requiring engineering resources.

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Send YouTube Data to MySQL Automatically

Connecting your YouTube analytics to MySQL requires no engineering work with the right data platform. Simply authenticate your YouTube channel as a data source, configure your MySQL database as the destination, and select which data pipelines you want to replicate. Kondado handles the extraction and loading automatically on your chosen schedule, whether you need updates every 5 minutes, hourly, or daily, ensuring your database always contains fresh video performance metrics.

Once your data arrives in MySQL, you can build custom dashboards, join YouTube metrics with advertising spend from other platforms, or create automated reports for stakeholders. The platform supports complex SQL queries against your video performance data, enabling deeper analysis than standard YouTube Analytics allows while maintaining complete control over your data warehouse schema.

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With the Daily Channel Statistics pipeline, you can track subscriber growth trends and engagement rates over time directly in SQL, correlating YouTube performance with website traffic or sales data stored in the same database. The Daily Video Statistics pipeline delivers granular metrics including average view duration and like counts that enable content performance comparisons across your entire video library. For agencies managing multiple channels, combining Playlist Items data with channel metrics in MySQL creates comprehensive content inventories that power automated client reporting workflows.

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Replicated to MySQL

YouTube data available for MySQL

Tables Kondado writes into your MySQL, on a schedule you control.

available pipelines

114

extractable fields

MySQL

Destination

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.

See all available data → Send YouTube to MySQL →

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How to send YouTube data to MySQL

Sync data automatically — no code, no manual exports.

Connect Your YouTube Channel

Authenticate your YouTube channel by providing your Google account credentials through Kondado's authentication flow. Grant the necessary permissions to enable data extraction from your channel's analytics.

Configure MySQL Destination

Enter your MySQL connection details including host, port, database name, and credentials in the destination settings. Kondado validates the connection to ensure your database can receive the incoming video and channel metrics.

Select Pipelines and Schedule

Choose from the six available pipelines such as Daily Channel Statistics or Daily Video Statistics, then set your preferred update frequency. You can configure different schedules for each pipeline to match your specific reporting needs.

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Send data from YouTube to other destinations

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)

Answers about sending YouTube data to MySQL automatically

How do I automatically send YouTube analytics to MySQL? ▼

Authenticate your YouTube channel in Kondado, select MySQL as your destination, and choose from six available data pipelines. The platform extracts your selected metrics on a configurable schedule and loads them directly into your MySQL database tables without manual intervention.

What video metrics are included in the Daily Video Statistics pipeline? ▼

This pipeline contains daily views, likes, comments, and average view duration for each video in your channel. You also get subscriber change data and engagement metrics that allow you to calculate performance ratios directly within your MySQL queries.

How frequently can I schedule YouTube data updates in MySQL? ▼

Kondado offers flexible scheduling options ranging from every 5 minutes to daily updates, depending on your analytics needs. You can configure different frequencies for different pipelines, such as updating video statistics hourly while refreshing playlist data daily.

What table structure does YouTube data use when replicated to MySQL? ▼

Each pipeline creates dedicated tables with standardized column names and appropriate data types for metrics like view counts, timestamps, and video IDs. The schema maintains referential integrity between related entities such as playlists and playlist items, enabling straightforward SQL joins.

Can I join YouTube channel data with other marketing platforms in MySQL? ▼

Yes, you can replicate data from YouTube alongside sources like Google Ads or Facebook into the same MySQL instance. This allows you to create unified marketing reports that correlate video engagement with campaign performance across multiple channels.

Is coding required to connect YouTube to MySQL using Kondado? ▼

No programming knowledge is necessary, as the platform provides a visual interface for selecting data sources and destinations. You simply authenticate your accounts, choose your pipelines, and define your update schedule through the web-based configuration panel.

What is the difference between Daily Channel Statistics and Daily Video Views pipelines? ▼

Daily Channel Statistics focuses on aggregate channel-level metrics including subscriber gains and losses, while Daily Video Views provides granular view counts and watch time minutes broken down by individual video. Use the first for high-level trend analysis and the second for content-specific performance tracking.

Can I replicate YouTube data to both MySQL and Google Sheets at the same time? ▼

Yes, Kondado supports sending the same YouTube data to multiple destinations simultaneously. You can load historical data into MySQL for complex analysis while sending summary metrics to Google Sheets for quick stakeholder reviews or Power BI for executive dashboards.

Try out all the features for free for 14 days

Related on Kondado

Try out all the features for free for 14 days