Buy Me a Coffee
A supporter is worth a thousand followers. Accept donations. Start a membership. Sell anything you like. It’s easier than you think.
Integrate the Buy Me a Coffee API with the Python API
Setup the Buy Me a Coffee API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Buy Me a Coffee and Python remarkably fast. Free for developers.
Popular Ways to Connect Buy Me a Coffee with Python#
Popular Buy Me a Coffee and Python Triggers#
Emit new events when a new item was purchased. See the docs
Emit new events when a new member was added. See the docs
Emit new events when a new supporter was added. See the docs
Popular Buy Me a Coffee 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 Buy Me a Coffee#
The Buy Me a Coffee API allows creators to interact programmatically with their Buy Me a Coffee account. Through Pipedream, you can automate actions such as thanking supporters, tracking donations, and posting updates. By integrating with other apps, you can extend functionalities, streamline your supporter engagement, and analyze your growth.
Connect Buy Me a Coffee#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
buy_me_a_coffee: {
type: "app",
app: "buy_me_a_coffee",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://developers.buymeacoffee.com/api/v1/subscriptions?status=active`,
headers: {
Authorization: `Bearer ${this.buy_me_a_coffee.$auth.access_token}`,
},
})
},
})
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}}