Integrate the Dub API with the Python API

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

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Popular Dub and Python Actions#

Create Link with the Dub API

Creates a link. 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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Delete Link with the Dub API

Deletes a link. See the documentation

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Update Link with the Dub API

Updates a link. See the documentation

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Overview of Dub#

The Dub API lets you automate the creation and management of personalized video messages. Pipedream’s platform simplifies the process of setting up triggers and actions to interact with the Dub API. You can automate video generation, distribution, and track engagement with ease. Customize your workflow to sync with CRMs, communication platforms, or data analysis tools for a powerful, streamlined video outreach process.

Connect Dub#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dub: {
      type: "app",
      app: "dub",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.dub.co/me`,
      headers: {
        Authorization: `Bearer ${this.dub.$auth.api_key}`,
      },
    })
  },
})

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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