Habitica

Habitica is a free habit and productivity app that treats your real life like a game. Habitica can help you achieve your goals to become healthy and happy.

Integrate the Habitica API with the Python API

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

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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.

 
Try it

Overview of Habitica

The Habitica API lets you gamify your life by interacting programmatically with your habits, dailies, to-dos, and rewards on the Habitica platform. This API offers endpoints for creating, fetching, updating, and deleting tasks, as well as retrieving user information and stats. When paired with Pipedream's serverless platform, the Habitica API becomes even more powerful, enabling customized, automated workflows that can respond to events in other apps or scheduled triggers to enhance your productivity and maintain your focus.

Connect Habitica

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    habitica: {
      type: "app",
      app: "habitica",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://habitica.com/api/v3/user`,
      headers: {
        "x-client": `3a326108-1895-4c23-874e-37668c75f2ad-Pipedream`,
        "x-api-user": `${this.habitica.$auth.user_id}`,
        "x-api-key": `${this.habitica.$auth.api_token}`,
      },
    })
  },
})

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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo