HighLevel is a subscription-based all-in-one marketing and customer relationship management solution for agencies and professionals.
Emit new event when a new contact is created. See the documentation
Emit new event when a new form submission is created. See the documentation
Adds an existing contact to a campaign. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Creates a new contact on HighLevel. See the documentation
Updates a selected contact on HighLevel. See the documentation
Creates or updates a contact on HighLevel. See the documentation
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.
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`,
},
})
},
})
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:
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}}