Integrate the Moskit API with the Python API

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

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Popular Moskit 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 Moskit#

The Moskit API, integrated with Pipedream, offers a robust platform for automating CRM-related activities. With this API, you can orchestrate data synchronization, streamline customer engagement processes, and enhance sales workflows. By leveraging the Moskit API through Pipedream, you can create custom serverless workflows that react to various CRM events, manipulate data, and connect with countless other services for a seamless automation experience.

Connect Moskit#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    moskit: {
      type: "app",
      app: "moskit",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.moskitcrm.com/v2/users`,
      headers: {
        "apikey": `${this.moskit.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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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