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with Python and Klaviyo?
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Popular Python and Klaviyo Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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}}Overview of Klaviyo#
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.
Connect Klaviyo#
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`, }, }) }, }) Trusted by 1,000,000+ developers from startups to Fortune 500 companies