Integrate the Picky Assist API with the Python API

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

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Popular Picky Assist and Python Actions#

Send Message with the Picky Assist API

Sends a message. See 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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Overview of Picky Assist#

Picky Assist bridges your communication channels with smart automation, letting you weave SMS, WhatsApp, and other messaging services into your business workflows. By integrating with Pipedream, you can automate interactions with customers, streamline notifications, or orchestrate multi-platform messaging campaigns. The API enables you to trigger messages based on events, sync conversations to CRMs, or even dispatch alerts from monitoring systems.

Connect Picky Assist#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    picky_assist: {
      type: "app",
      app: "picky_assist",
    }
  },
  async run({steps, $}) {
    const data = {
      "token": `${this.picky_assist.$auth.api_token}`,
    }
    return await axios($, {
      method: "post",
      url: `https://pickyassist.com/app/api/v2/check-balance`,
      data,
    })
  },
})

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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