Tapfiliate
Affiliate tracking software to grow your business. Easily create, track and optimize your own affiliate marketing and referral programs with Tapfiliate.
Integrate the Tapfiliate API with the Python API
Setup the Tapfiliate API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Tapfiliate and Python remarkably fast. Free for developers.
Popular Tapfiliate and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Overview of Tapfiliate#
The Tapfiliate API lets you build custom affiliate marketing programs, handling tracking, attribution, and commission management for your business. By leveraging it on Pipedream, you can automate affiliate-related processes, sync affiliate data with other tools, and create real-time, event-driven workflows. Whether you're syncing affiliate data to a CRM, sending customized email notifications, or updating affiliate info across platforms, Pipedream's serverless platform streamlines these tasks with minimal setup.
Connect Tapfiliate#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
tapfiliate: {
type: "app",
app: "tapfiliate",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.tapfiliate.com/1.6/affiliates/`,
headers: {
"X-Api-Key": `${this.tapfiliate.$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}}