Blink

Create trust and dialogue between frontline workers and executive teams in real-time.

Integrate the Blink API with the Python API

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

Get Feed Event with the Blink API

Get a feed event by external ID. 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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Post feed with the Blink API

Send feed events to users. See the documentation

 
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The Blink API allows you to access and manage data within the Blink platform, a hub for team communication and content sharing. Through Pipedream, you can automate workflows that leverage this API to streamline notifications, content distribution, and team interactions. You can create actions that respond to specific triggers, like new messages or updates to content, and connect Blink with other apps to enrich the functionality of your workflows.

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    blink: {
      type: "app",
      app: "blink",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.joinblink.com/v2/user`,
      headers: {
        Authorization: `Bearer ${this.blink.$auth.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}}