Integrate the UltraMsg API with the Python API

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

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Popular UltraMsg and Python Actions#

Send a Document with the UltraMsg API

Send a document to a specified number. See the 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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Send a Link with the UltraMsg API

Send a link to a specified number. See the docs here

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Send a Location with the UltraMsg API

Send a location to a specified number. See the docs here

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Send a Message with the UltraMsg API

Send a message to a specified number. See the docs here

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Overview of UltraMsg#

UltraMsg API offers a suite of messaging capabilities that let you automate WhatsApp messaging. With it, you can send and receive messages, create WhatsApp chatbots, and manage media, enabling a wide range of automated interactions with users. Pipedream acts as a powerful accelerator here, letting you connect UltraMsg to hundreds of other apps to craft custom workflows.

Connect UltraMsg#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ultramsg: {
      type: "app",
      app: "ultramsg",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ultramsg.com/${this.ultramsg.$auth.instance_id}/messages/statistics`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      params: {
        token: `${this.ultramsg.$auth.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#

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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