Integrate the MobileMonkey API with the Python API

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

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Popular MobileMonkey 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 MobileMonkey#

The MobileMonkey API allows you to automate interactions with your MobileMonkey-powered chatbots. By leveraging this API on Pipedream, you can orchestrate complex workflows that react to events in MobileMonkey, send messages, update contacts, and more, thus enriching your chatbot's capabilities with Pipedream's robust integration platform. You can trigger workflows on Pipedream using webhooks, schedules, or other app events, and incorporate logic to interact with a wide range of services to enhance customer engagement, streamline processes, and gather insights from chatbot interactions.

Connect MobileMonkey#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mobilemonkey: {
      type: "app",
      app: "mobilemonkey",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mobilemonkey.com/public/promoters`,
      headers: {
        Authorization: `Bearer ${this.mobilemonkey.$auth.api_key}`,
      },
      params: {
        kind: `send_to_messenger`,
      },
    })
  },
})

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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