GroundHogg
The Best CRM Plugin for WordPress. Groundhogg does all the Heavy Lifting & Marketing Automation Marketers need to CRUSH IT!
Integrate the GroundHogg API with the Python API
Setup the GroundHogg API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate GroundHogg and Python remarkably fast. Free for developers.
Popular GroundHogg and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of GroundHogg#
The GroundHogg API provides a set of endpoints to interact with your marketing automation data. On Pipedream, you can leverage these endpoints to create, update, and manage contacts, tags, funnels, and emails among other entities within GroundHogg. With Pipedream, this integration becomes part of a larger ecosystem, allowing you to connect GroundHogg with hundreds of other apps, automate workflows, and manipulate data in real-time. This can dramatically improve your marketing efforts by enabling personalized and timely interactions with your audience.
Connect GroundHogg#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
groundhogg: {
type: "app",
app: "groundhogg",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.groundhogg.$auth.url}/wp-json/gh/v4/contacts`,
headers: {
"gh-token": `${this.groundhogg.$auth.api_token}`,
"gh-public-key": `${this.groundhogg.$auth.public_key}`,
},
})
},
})
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}}