Integrate the SatisMeter API with the Python API

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

Popular Ways to Connect SatisMeter with Python#

Run Python Code with Python API on New Survey Response from SatisMeter API

SatisMeter + Python

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Popular SatisMeter and Python Triggers#

New Survey Response from the SatisMeter API

Emit new event when a survey response is submitted to a project. See the documentation

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Popular SatisMeter 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 SatisMeter#

SatisMeter captures customer feedback and sentiment directly through targeted surveys, providing insights into customer satisfaction and product engagement. With the SatisMeter API on Pipedream, you can automate interactions with survey data, sync customer information with other services, and trigger actions based on feedback scores. By leveraging Pipedream's serverless platform, you can create workflows that respond in real-time to survey results, enrich customer profiles, and influence your product's roadmap with actionable insights.

Connect SatisMeter#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    satismeter: {
      type: "app",
      app: "satismeter",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.satismeter.com/api/users`,
      headers: {
        Authorization: `Bearer ${this.satismeter.$auth.api_key}`,
      },
      params: {
        project: `${this.satismeter.$auth.project_id}`,
      },
    })
  },
})

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}}