Rewardful

Turn your biggest fans into your best marketers! Rewardful is a super easy way to setup affiliate & referral programs for SaaS, memberships, and ecommerce

Integrate the Rewardful API with the Python API

Setup the Rewardful API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Rewardful 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 Rewardful

Rewardful is a potent API for managing affiliate and referral programs directly within your application or platform. By connecting Rewardful with Pipedream, you can automate the tracking, attribution, and compensation of affiliate-driven customer conversions, reducing manual overhead and increasing the efficiency of your marketing efforts. With Rewardful's API, you can create affiliates, track campaigns, and disburse rewards seamlessly.

Connect Rewardful

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    rewardful: {
      type: "app",
      app: "rewardful",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.getrewardful.com/v1/affiliates`,
      auth: {
        username: `${this.rewardful.$auth.api_secret}`,
        password: ``,
      },
    })
  },
})

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

1
2
3
4
5
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}}