Zylvie

High-Converting Cart Software - Sell Digital Products & Subscriptions.

Integrate the Zylvie API with the Python API

Setup the Zylvie API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Zylvie and Python remarkably fast. Free for developers.

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Run Python Code with Python API on New Affiliate Sign Up (Instant) from Zylvie API
Zylvie + Python
 
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Run Python Code with Python API on New Lead (Instant) from Zylvie API
Zylvie + Python
 
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Run Python Code with Python API on New Subscription (Instant) from Zylvie API
Zylvie + Python
 
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New Affiliate Sign Up (Instant) from the Zylvie API

Emit new event when a visitor signs up to be an affiliate or when they accept an invitation to be an affiliate. See the documentation.

 
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New Lead (Instant) from the Zylvie API

Emit new event when a user submits their name and email to receive a free product/lead magnet. See the documentation.

 
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New Subscription (Instant) from the Zylvie API

Emit new event when a user subscribes to a subscription product, whether free trial or otherwise. See the documentation.

 
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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

 
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Connect Zylvie

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zylvie: {
      type: "app",
      app: "zylvie",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.zylvie.com/me`,
      headers: {
        Authorization: `Bearer ${this.zylvie.$auth.api_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

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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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo