Syncro

Syncro is the integrated business platform for running a profitable MSP. Enjoy PSA, RMM and remote access in one affordable package.

Integrate the Syncro API with the Python API

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

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.

 
Try it

Overview of Syncro

Syncro is an API that empowers users to streamline their customer support and feedback management by automating interactions and integrating with various systems. By leveraging Syncro with Pipedream, you can automate tasks such as syncing customer feedback to a CRM, triggering alerts based on feedback scores, or creating support tickets from customer responses. Pipedream’s serverless platform facilitates the creation of these automated workflows without the need for complex infrastructure, making it straightforward to connect Syncro with other apps and services to enhance your customer support operations.

Connect Syncro

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    syncro: {
      type: "app",
      app: "syncro",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.syncro.$auth.subdomain}.syncromsp.com/api/v1/me`,
      headers: {
        "Content-Type": `application/json`,
        "Authorization": `${this.syncro.$auth.api_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

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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}}