Integrate the Alchemer API with the Python API

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

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Popular Alchemer 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 Alchemer#

The Alchemer API facilitates the creation and management of surveys, collection and analysis of responses, and automation of survey-related workflows. With Pipedream, you can harness this API to trigger actions in other applications based on survey events, sync survey data with databases or CRM systems, and even automate follow-up communications based on participant responses. Think of it as a bridge between Alchemer's rich survey feature set and a universe of other apps to streamline your data collection and analysis processes.

Connect Alchemer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    alchemer: {
      type: "app",
      app: "alchemer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.alchemer.com/v5/account`,
      params: {
        api_token: `${this.alchemer.$auth.api_key}`,
        api_token_secret: `${this.alchemer.$auth.api_secret}`,
      },
    })
  },
})

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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