Integrate the Amazon Alexa API with the Python API

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

Popular Amazon Alexa and Python Actions#

Get Simulation Results with the Amazon Alexa API

Get the results of the specified simulation for an Alexa skill. 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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Simulate Alexa Skill with the Amazon Alexa API

Simulate a dialog from an Alexa-enabled device and receive the skill response for the specified example utterance. See the documentation

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Overview of Amazon Alexa#

The Amazon Alexa API connects your Pipedream workflows to Alexa's smart capabilities, enabling you to build voice-driven interactions and extend the functionality of Alexa Skills. Interact with users through their Alexa devices, manage and update Skills, or harness Alexa's smart home control. With Pipedream's serverless platform, you can create complex workflows that respond to Alexa events, trigger actions in other services, or process voice commands for custom outcomes.

Connect Amazon Alexa#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    amazon_alexa: {
      type: "app",
      app: "amazon_alexa",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.amazonalexa.com/v1/skills/{{your_skill_id}}/credentials`, //for testing: amzn1.ask.skill.94225570-3d93-4671-acb0-34160d640740
      headers: {
        Authorization: `Bearer ${this.amazon_alexa.$auth.oauth_access_token}`,
        "Accept": `application/json`,
        "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#

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}}