Integrate the Pointagram API with the Python API

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

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Popular Pointagram and Python Actions#

Add Points to Player with the Pointagram API

Add points to a player. See docs here

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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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Create Player with the Pointagram API

Create a new player. See the docs here

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List Players with the Pointagram API

List all players. See the docs here

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Overview of Pointagram#

The Pointagram API offers a suite of functions for gamifying performance tracking. It's a tool to motivate teams and individuals by turning targets and achievements into point-based games and competitions. By leveraging this API in Pipedream, you can automate the tracking of activities, update leaderboards, award badges, and integrate Pointagram with other business tools to streamline productivity and engagement.

Connect Pointagram#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pointagram: {
      type: "app",
      app: "pointagram",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.pointagram.com/server/externalapi.php/list_players`,
      headers: {
        "api_key": `${this.pointagram.$auth.api_key}`,
        "api_user": `${this.pointagram.$auth.api_user}`,
        "Content-Type": `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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