Integrate the Pobuca Connect API with the Python API

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

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Popular Pobuca Connect 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 Pobuca Connect#

Pobuca Connect API offers a suite of functionalities to manage contacts within an organization, streamline communication, and enhance collaboration. Integrating this API with Pipedream enables you to automate tasks involving contact management, such as syncing new contacts to other platforms, triggering notifications upon contact updates, and creating custom workflows to maintain your organization's contact database efficiently. Harness the API's capabilities to build robust, serverless workflows on Pipedream that trigger on events or on a schedule, and interact with an array of other apps and services.

Connect Pobuca Connect#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    pobuca_connect: {
      type: "app",
      app: "pobuca_connect",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://pobucaapiv3.azurewebsites.net/tables/contacts`,
      headers: {
        "ZUMO-API-VERSION": `2.0.0`,
        "X-ZUMO-AUTH": `${this.pobuca_connect.$auth.api_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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