Integrate the Dacast API with the Python API

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

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Popular Dacast and Python Actions#

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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Overview of Dacast#

Dacast's API gives you the power to manage live and on-demand video content. With this API, you can automate content creation, update settings, and pull analytics, all of which can be seamlessly integrated with Pipedream workflows. Use it to synchronize your video content with other databases, notify subscribers about new videos, or generate real-time alerts based on streaming performance metrics.

Connect Dacast#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    dacast: {
      type: "app",
      app: "dacast",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://developer.dacast.com/v2/playlists`,
      headers: {
        "X-Api-Key": `${this.dacast.$auth.api_key}`,
        "X-Format": `default`,
      },
    })
  },
})

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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