Integrate the PartnerStack (Partner API) API with the Python API

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

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Popular PartnerStack (Partner API) and Python Actions#

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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Overview of PartnerStack (Partner API)#

The PartnerStack (Partner API) API empowers you to automate and streamline your partner, affiliate, and reseller networks. Using Pipedream, you can connect this API to orchestrate workflows that synchronize partner data, track referrals and commissions, and manage payouts. This enables you to maintain a robust partner ecosystem while cutting down on manual work. By tapping into events and data from PartnerStack, you can ensure partners are rewarded promptly, gain insights into the most effective channels, and foster stronger relationships with your network.

Connect PartnerStack (Partner API)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    partnerstack: {
      type: "app",
      app: "partnerstack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.partnerstack.com/api/v2/partnerships`,
      headers: {
        Authorization: `Bearer ${this.partnerstack.$auth.api_key}`,
        "Accept": `application/json`,
      },
    })
  },
})

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}}

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