Google Analytics and MySQL integration

Save yourself the work of writing custom integrations for Google Analytics and MySQL and use n8n instead. Build adaptable and scalable Analytics, Development, and Data & Storage workflows that work with your technology stack. All within a building experience you will love.

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How to connect Google Analytics and MySQL

Step 1: Create a new workflow
Step 2: Add and configure nodes
Step 3: Connect
Step 4: Customize and extend your integration
Step 5: Test and activate your workflow

Step 1: Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Google Analytics and MySQL integration: Create a new workflow and add the first step

Step 2: Add and configure Google Analytics and MySQL nodes

You can find Google Analytics and MySQL in the nodes panel. Drag them onto your workflow canvas, selecting their actions. Click each node, choose a credential, and authenticate to grant n8n access. Configure Google Analytics and MySQL nodes one by one: input data on the left, parameters in the middle, and output data on the right.

Google Analytics and MySQL integration: Add and configure Google Analytics and MySQL nodes

Step 3: Connect Google Analytics and MySQL

A connection establishes a link between Google Analytics and MySQL (or vice versa) to route data through the workflow. Data flows from the output of one node to the input of another. You can have single or multiple connections for each node.

Google Analytics and MySQL integration: Connect Google Analytics and MySQL

Step 4: Customize and extend your Google Analytics and MySQL integration

Use n8n's core nodes such as If, Split Out, Merge, and others to transform and manipulate data. Write custom JavaScript or Python in the Code node and run it as a step in your workflow. Connect Google Analytics and MySQL with any of n8n’s 1000+ integrations, and incorporate advanced AI logic into your workflows.

Google Analytics and MySQL integration: Customize and extend your Google Analytics and MySQL integration

Step 5: Test and activate your Google Analytics and MySQL workflow

Save and run the workflow to see if everything works as expected. Based on your configuration, data should flow from Google Analytics to MySQL or vice versa. Easily debug your workflow: you can check past executions to isolate and fix the mistake. Once you've tested everything, make sure to save your workflow and activate it.

Google Analytics and MySQL integration: Test and activate your Google Analytics and MySQL workflow

Build your own Google Analytics and MySQL integration

Create custom Google Analytics and MySQL workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Google Analytics supported actions

Report
User Activity

Get

Return the analytics data

Return user activity data

MySQL supported actions

Database

Delete

Delete an entire table or rows in a table

Execute SQL

Execute an SQL query

Insert

Insert rows in a table

Insert or Update

Insert or update rows in a table

Select

Select rows from a table

Update

Update rows in a table

Google Analytics and MySQL integration details

Google Analytics is a tool that gathers information from your apps and websites to provide reports that give you insights on how well your business is doing. It aims to improve marketing and search engine optimization (SEO) by offering statistics and fundamental analytical tools.

Google Analytics node docs + examples

Google Analytics credential docs

See Google Analytics integrations

Related categories

Analytics

The relational database management system MySQL is free and open-source. Although MySQL includes standalone clients that let users communicate with a MySQL database directly using SQL, it is more frequently used in conjunction with other applications to develop applications that require relational database functionality.

MySQL node docs + examples

MySQL credential docs

See MySQL integrations

Related categories

Development

Data & Storage

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Other integrations with MySQL

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