with Ontraport and Python?
Emit new event when a new contact is created. See the docs
Emit new event when a new form is submitted. See the docs
Emit new event when a product is purchased. See the docs
Emit new event when a transaction is created with a product. See the docs
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Ontraport's API offers robust capabilities for automating business processes, managing customer relationships, and streamlining marketing efforts. Use it to create dynamic, serverless workflows on Pipedream that react to events in real-time, sync data between services, or enhance customer interactions. With this API, you can automate tasks such as updating contact information, tracking customer behaviors, and sending targeted communications, all customizable to your specific business needs.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
ontraport: {
type: "app",
app: "ontraport",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.ontraport.com/1/Contacts`,
headers: {
"Api-Key": `${this.ontraport.$auth.api_key}`,
"Api-Appid": `${this.ontraport.$auth.api_appid}`,
},
})
},
})
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}}