Daily

WebRTC video and audio APIs for developers. Add live video and audio experiences to any product.

Integrate the Daily API with the Python API

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

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

Overview of Daily

Daily API offers a suite of powerful video and audio capabilities, enabling the creation, management, and customization of real-time video and audio calls directly within your applications. Pipedream, as a serverless integration and automation platform, empowers users to connect Daily with various other apps to automate workflows. Whether you're looking to synchronize meeting data with project management tools, kick off post-meeting workflows, or manage recordings at scale, Pipedream provides the infrastructure to streamline these processes.

Connect Daily

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    daily: {
      type: "app",
      app: "daily",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.daily.co/v1/`,
      headers: {
        Authorization: `Bearer ${this.daily.$auth.api_key}`,
        "Content-Type": `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}}