Integrate the Survser API with the Python API

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

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Popular Ways to Connect Survser with Python#

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

Survser + Python

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Popular Survser and Python Triggers#

New Survey Response from the Survser API

Emit new event when a new survey response is received. See the documentation

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Popular Survser 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 Survser#

The Survser API is designed to streamline survey management and analysis, providing a set of tools to create, distribute, and analyze surveys. On Pipedream, you can automate survey distribution, sync responses with other data systems, and trigger actions based on survey outcomes. This enables seamless integration with other apps for advanced data processing, notifications, and more, enhancing decision-making processes and response times.

Connect Survser#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    survser: {
      type: "app",
      app: "survser",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.survser.com/api/public/survey/list`,
      params: {
        key: `${this.survser.$auth.api_key}`,
      },
    })
  },
})

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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