ReferralRock

Influence word of mouth instead of waiting for it to happen.

Integrate the ReferralRock API with the Python API

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

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.

 
Try it

Overview of ReferralRock

ReferralRock's API unlocks the power of referral marketing within your applications, allowing you to automate the integration of your referral programs into your business processes. By leveraging this API on Pipedream, you can create dynamic, serverless workflows that respond to events in ReferralRock, synchronize data with other platforms, reward customer loyalty, and track the performance of your referral campaigns in real-time. This enables a seamless blend of referral marketing with your existing tech stack.

Connect ReferralRock

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