Keap (Infusionsoft)
CRM, sales & marketing platform
Integrate the Keap (Infusionsoft) API with the Python API
Setup the Keap (Infusionsoft) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Keap (Infusionsoft) and Python remarkably fast. Free for developers.
Popular Ways to Connect Keap (Infusionsoft) with Python#
Popular Keap (Infusionsoft) and Python Actions#
Overview of Keap (Infusionsoft)#
The Keap (Infusionsoft) API is a powerful tool that unlocks advanced customer relationship management, marketing automation, and sales features. It allows you to manage contacts, create and update customer records, send emails, set up marketing campaigns, and more, automating and integrating these processes within your business workflows. With Pipedream's serverless execution environment, you can harness this API to craft custom automations, trigger sequences based on specific actions, and connect Keap to a multitude of other apps and services, streamlining your sales and marketing efforts.
Connect Keap (Infusionsoft)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
infusionsoft: {
type: "app",
app: "infusionsoft",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.infusionsoft.com/crm/rest/v1/oauth/connect/userinfo`,
headers: {
Authorization: `Bearer ${this.infusionsoft.$auth.oauth_access_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#
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}}