Integrate the IFTTT API with the Python API

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

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Popular IFTTT and Python Actions#

Trigger Event with JSON with the IFTTT API

Trigger Event with an arbitrary JSON payload. See docs

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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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Trigger Event with Values with the IFTTT API

Trigger Event with 3 JSON values. See docs

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Overview of IFTTT#

IFTTT (If This Then That) is a service that lets you create chains of conditional statements, known as applets. These applets can automate tasks across a variety of web services and APIs. By integrating IFTTT with Pipedream, you unlock the ability to handle complex logic, manage state, transform data, and interact with over 600+ supported apps in Pipedream’s ecosystem. You can trigger workflows on Pipedream with events from IFTTT and vice versa, creating a seamless automation experience.

Connect IFTTT#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ifttt: {
      type: "app",
      app: "ifttt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://connect.ifttt.com//v2/me`,
      headers: {
        "IFTTT-Service-Key": `${this.ifttt.$auth.ifttt_Service_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}}

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