Supabase Management API

Manage your Supabase organizations and projects programmatically.

Integrate the Supabase Management API API with the Python API

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

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Run Python Code with Python API on New Backup Completed from Supabase Management API API
Supabase Management API + Python
 
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New Backup Completed from the Supabase Management API API

Emit new event when a database backup is completed for a project. See the documentation

 
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Create Project with the Supabase Management API API

Creates a new Supabase project within a specified organization. See the documentation

 
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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.

 
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Generate TypeScript Types with the Supabase Management API API

Generates TypeScript types based on the current database schema for a specified Supabase project. See the documentation

 
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Connect Supabase Management API

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    supabase_management_api: {
      type: "app",
      app: "supabase_management_api",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.supabase.com/v1/organizations `,
      headers: {
        Authorization: `Bearer ${this.supabase_management_api.$auth.oauth_access_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo