Integrate the Small Improvements API with the Python API

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

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Popular Small Improvements and Python Actions#

Create Meeting Notes with the Small Improvements API

Create meeting notes in Small Improvements. See the documentation

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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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List All Users with the Small Improvements API

List all users from Small Improvements. See the documentation

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Overview of Small Improvements#

The Small Improvements API allows for the automation of feedback, performance reviews, and goals within your organization. It enables interaction with Small Improvements' features, such as requesting feedback, managing users, and reviewing objectives. With Pipedream, you can harness this API to create seamless workflows that trigger actions across various applications, reacting to events in real-time, processing data, and automating repetitive tasks without writing any code.

Connect Small Improvements#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    small_improvements: {
      type: "app",
      app: "small_improvements",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.small-improvements.com/api/v2/users/me`,
      headers: {
        Authorization: `Bearer ${this.small_improvements.$auth.api_token}`,
        "Accept": `application/json`,
      },
    })
  },
})

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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