Integrate the Partnerize API with the Python API

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

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Popular Partnerize 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 Partnerize#

The Partnerize API enables you to interact programmatically with the Partnerize platform, which specializes in partner marketing and affiliate management. With this API, you can automate tasks related to tracking, commissioning, and reporting on marketing campaigns. In Pipedream, you can leverage these capabilities to create automated workflows that respond to various triggers (like webhooks), manipulate data, and integrate with a myriad of other services without having to manage servers or complex infrastructure.

Connect Partnerize#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    partnerize: {
      type: "app",
      app: "partnerize",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.partnerize.com/network`,
      auth: {
        username: `${this.partnerize.$auth.user_app_key}`,
        password: `${this.partnerize.$auth.user_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#

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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