Integrate the HighLevel (OAuth) API with the Python API

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

Popular HighLevel (OAuth) and Python Actions#

Create Contact with the HighLevel (OAuth) API

Creates a new contact on HighLevel. See the documentation

Try it

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

Update Contact with the HighLevel (OAuth) API

Updates a selected contact on HighLevel. See the documentation

Try it

Upsert Contact with the HighLevel (OAuth) API

Creates or updates a contact on HighLevel. See the documentation

Try it

Overview of HighLevel (OAuth)#

The HighLevel (OAuth) API provides a suite of tools designed for marketing agencies and businesses to automate their operations, manage customer relations, and drive growth. With Pipedream, you can leverage HighLevel's capabilities to streamline workflows, such as synchronizing contact information, triggering custom actions based on client interactions, and analyzing marketing data. Integrating the HighLevel API into Pipedream workflows allows for a seamless connection with other apps and services, enabling complex automations with minimal effort.

Connect HighLevel (OAuth)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    highlevel_oauth: {
      type: "app",
      app: "highlevel_oauth",
    }
  },
  async run({steps, $}) {
    const auth = this.highlevel_oauth.$auth;
    const url = auth.locationId ? `/locations/${auth.locationId}` : `/users/${auth.userId}`;
    return await axios($, {
      baseURL: "https://services.leadconnectorhq.com",
      url,
      headers: {
        Authorization: `Bearer ${auth.oauth_access_token}`,
        "Version": `2021-07-28`,
      },
    })
  },
})

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}}