Integrate the Highrise API with the Python API

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

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Popular Highrise 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 Highrise#

The Highrise API offers a programmatic way to interact with your Highrise CRM data, enabling automated workflows that can save time and improve data consistency. With Pipedream, you can build serverless workflows that trigger on new contact additions, updates to existing contacts, or specific actions like emails received or tasks completed in Highrise. Utilizing Pipedream's ability to integrate with a multitude of other services, you can seamlessly connect Highrise to your broader business processes, such as marketing campaigns, support ticketing systems, or project management tools.

Connect Highrise#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    highrise: {
      type: "app",
      app: "highrise",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.highrise.$auth.subdomain}.highrisehq.com/people/1.xml`,
      auth: {
        username: `${this.highrise.$auth.token}`,
        password: ``,
      },
    })
  },
})

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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