Integrate the Iterate API with the Python API

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

Popular Ways to Connect Iterate with Python#

Run Python Code with Python API on New Question Answer from Iterate API

Iterate + Python

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

Iterate + Python

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Popular Iterate and Python Triggers#

New Question Answer from the Iterate API

Emit new event when a question is answered.

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New Survey Response from the Iterate API

Emit new event when a survey is answered.

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Popular Iterate 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 Iterate#

The Iterate API, part of the Planview suite, is tailored for sophisticated task and project management, providing endpoints to manipulate boards, cards, and work items in LeanKit. Leveraging the Iterate API on Pipedream unlocks the potential for creating streamlined, serverless automations that can trigger actions across various platforms, react to changes in project status, and synchronize data between tools, all in real-time.

Connect Iterate#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    iterate: {
      type: "app",
      app: "iterate",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://iteratehq.com/api/v1/surveys`,
      params: {
        access_token: `${this.iterate.$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}}