Multi Location Marketing (Done Right). Grow 10's or 1000's of locations with the same effort as promoting one.
Adds a new loyalty reward to the Referrizer system. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Create a visit to an existing contact in Referrizer. See the documentation
Modify the details or status of an existing loyalty reward in Referrizer. See the documentation
The Referrizer API lets you automate the engagement and tracking of your referral marketing campaigns. By integrating with Pipedream, you can stitch the Referrizer API into workflows that streamline your marketing efforts, track referrals, manage rewards, and sync customer data across multiple platforms. Pipedream’s serverless execution model allows you to focus on defining the logic without worrying about the infrastructure.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
referrizer: {
type: "app",
app: "referrizer",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.referrizer.com/v1/contacts`,
headers: {
Authorization: `Bearer ${this.referrizer.$auth.api_token}`,
"Accept": `application/json`,
},
})
},
})
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:
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}}