ReferralHero
Everything you need to build, manage, and track a referral program... that doubles your business.
Integrate the ReferralHero API with the Python API
Setup the ReferralHero API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate ReferralHero and Python remarkably fast. Free for developers.
Popular ReferralHero and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Track a referral conversion event. Use when your Campaign Goal is set to track two or three conversion events. See the documentation
Overview of ReferralHero#
The ReferralHero API allows you to build custom referral marketing campaigns, manage participants, and track referral performance directly from Pipedream. You can automate participant registration, reward distribution, and integrate with other services for enhanced functionality like email marketing, CRM updates, or analytics. By leveraging Pipedream’s serverless platform, you can create workflows that react to events in ReferralHero, enrich referral data, or synchronize it with other apps.
Connect ReferralHero#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
referralhero: {
type: "app",
app: "referralhero",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://app.referralhero.com/api/v2/lists`,
params: {
api_token: `${this.referralhero.$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#
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}}