Integrate the dbt Cloud API with the Python API

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

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Popular Ways to Connect dbt Cloud with Python#

Run Python Code with Python API on Job Run Completed (Instant) from dbt Cloud API

dbt Cloud + Python

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Run Python Code with Python API on Job Run Errored (Instant) from dbt Cloud API

dbt Cloud + Python

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Run Python Code with Python API on Job Run Started (Instant) from dbt Cloud API

dbt Cloud + Python

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Run Python Code with Python API on New Job Run Event (Instant) from dbt Cloud API

dbt Cloud + Python

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Popular dbt Cloud and Python Triggers#

Job Run Completed (Instant) from the dbt Cloud API

Emit new event when a job run has completed.

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Job Run Errored (Instant) from the dbt Cloud API

Emit new event when a job run has errored.

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Job Run Started (Instant) from the dbt Cloud API

Emit new event when a job run has started.

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New Job Run Event (Instant) from the dbt Cloud API

Emit new event when a job run has started, errored, or completed.

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Popular dbt Cloud and Python Actions#

Get Environment with the dbt Cloud API

Retrieve information about an environment. 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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Get Run with the dbt Cloud API

Retrieve information about a run. See the documentation

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Get Run Artifact with the dbt Cloud API

Retrieve information about a run artifact. See the documentation

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Trigger Job Run with the dbt Cloud API

Trigger a specified job to begin running. See the documentation

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Overview of dbt Cloud#

The dbt Cloud API allows users to initiate jobs, check on their status, and interact with dbt Cloud programmatically. On Pipedream, you can harness this functionality to automate workflows, such as triggering dbt runs, monitoring your data transformation jobs, and integrating dbt Cloud with other data services. By leveraging Pipedream's serverless platform, you can create custom workflows that act on dbt Cloud events or use the dbt Cloud API to manage your data transformation processes seamlessly.

Connect dbt Cloud#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dbt: {
      type: "app",
      app: "dbt",
    }
  },
  async run({steps, $}) {
    const baseUrl = this.dbt.$auth.access_url || `https://${this.dbt.$auth.region}.com/`
    return await axios($, {
      url: `${baseUrl}api/v3/accounts/`,
      headers: {
        "Authorization": `Token ${this.dbt.$auth.api_key}`,
        "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#

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}}

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