Integrate the Async Interview API with the Python API

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

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Popular Ways to Connect Async Interview with Python#

Run Python Code with Python API on New Interview Response from Async Interview API

Async Interview + Python

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Popular Async Interview and Python Triggers#

New Interview Response from the Async Interview API

Emit new event when a new interview response is received.

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Popular Async Interview 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 Async Interview#

The Async Interview API enables automation around video interview processes. With this API, you can craft workflows on Pipedream that manipulate interview data, initiate new interviews, and respond to events within the Async Interview platform. Pipedream's serverless architecture allows you to connect with hundreds of apps to streamline recruitment workflows, analyze interview data, or enhance the candidate experience with personalized interactions.

Connect Async Interview#

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

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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