Integrate the MySQL API with the Python API

Setup the MySQL API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate MySQL and Python remarkably fast. Free for developers.

Popular Ways to Connect MySQL with Python#

Run Python Code with Python API on New Column from MySQL API

MySQL + Python

Try it

Run Python Code with Python API on New or Updated Row from MySQL API

MySQL + Python

Try it

Run Python Code with Python API on New Row (Custom Query) from MySQL API

MySQL + Python

Try it

Run Python Code with Python API on New Row from MySQL API

MySQL + Python

Try it

Run Python Code with Python API on New Table from MySQL API

MySQL + Python

Try it

Popular MySQL and Python Triggers#

New Column from the MySQL API

Emit new event when you add a new column to a table. See the docs here

Try it

New or Updated Row from the MySQL API

Emit new event when you add or modify a new row in a table. See the docs here

Try it

New Row from the MySQL API

Emit new event when you add a new row to a table. See the docs here

Try it

New Row (Custom Query) from the MySQL API

Emit new event when new rows are returned from a custom query. See the docs here

Try it

New Table from the MySQL API

Emit new event when a new table is added to a database. See the docs here

Try it

Popular MySQL and Python Actions#

Create Row with the MySQL API

Adds a new row. See the docs here

Try it

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

Try it

Delete Row with the MySQL API

Delete an existing row. See the docs here

Try it

Execute Query with the MySQL API

Find row(s) via a custom query. See the docs here

Try it

Execute Raw Query with the MySQL API

Find row(s) via a custom raw query. See the documentation

Try it

Overview of MySQL#

The MySQL application on Pipedream enables direct interaction with your MySQL databases, allowing you to perform CRUD operations—create, read, update, delete—on your data with ease. You can leverage these capabilities to automate data synchronization, report generation, and event-based triggers that kick off workflows in other apps. With Pipedream's serverless platform, you can connect MySQL to hundreds of other services without managing infrastructure, crafting complex code, or handling authentication.

Connect MySQL#

import mysql from '@pipedream/mysql';

export default defineComponent({
  props: {
    mysql,
  },
  async run({steps, $}) {
    // Component source code:
    // https://github.com/PipedreamHQ/pipedream/tree/master/components/mysql

    const queryObj = {
      sql: "SELECT NOW()",
      values: [], // Ignored since query does not contain placeholders
    };
    const { rows } = await this.mysql.executeQuery(queryObj);
    return rows;
  },
});

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}