Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}
The Klaviyo API grants you the power to automate and personalize your email marketing efforts. With it, you can manage lists, profiles, and campaigns, track event-driven communications, and analyze the results. By leveraging this API on Pipedream, you can create intricate, automated workflows that respond in real-time to your users' behavior, sync data across multiple platforms, and tailor your marketing strategies to improve engagement and conversion rates.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
klaviyo: {
type: "app",
app: "klaviyo",
}
},
async run({steps, $}) {
return await axios($, {
url: ` https://a.klaviyo.com/api/accounts/`,
headers: {
"Authorization": `Klaviyo-API-Key ${this.klaviyo.$auth.api_key}`,
"revision": `2023-12-15`,
},
})
},
})