Delighted

Delighted uses the Net Promoter System® to gather real feedback from your customers – in minutes, not weeks. No technical knowledge required.

Integrate the Delighted API with the Python API

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

Sending to People with the Delighted API

Create or update a person and send a survey email. See the docs here

 
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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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Overview of Delighted

Delighted API on Pipedream lets you automate and integrate customer feedback into various aspects of your business processes. Utilize real-time survey responses to trigger actions, manage contacts, and streamline follow-ups. With a mix of webhooks and API calls, you can react promptly to customer sentiment, categorize feedback, and enhance customer experience by connecting insights to your CRM, support, and product management tools.

Connect Delighted

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module.exports = defineComponent({
  props: {
    delighted: {
      type: "app",
      app: "delighted",
    }
  },
  async run({steps, $}) {
    const delighted = require('delighted')(this.delighted.$auth.api_key)
    
    return await delighted.metrics.retrieve()
  },
})

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}}