Slottable
Slottable makes it easy to share, book and deliver anything in your business that has limited “seats” or “tickets” or “spots" or as we like to call them: Slots
Integrate the Slottable API with the Python API
Setup the Slottable API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Slottable and Python remarkably fast. Free for developers.
Popular Slottable 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 Slottable#
The Slottable API provides a way to manage scheduling by creating, updating, and deleting slots related to appointments, classes, or any event that requires booking. With Pipedream's serverless platform, you can automate workflows that trigger based on actions within Slottable or external events, and then interact with the Slottable API to manage your scheduling data. This might include syncing booking information with a calendar, sending reminders or follow-up emails, or aggregating data for analytics.
Connect Slottable#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
slottable: {
type: "app",
app: "slottable",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://slottable.app/api/v1/token`,
headers: {
Authorization: `Bearer ${this.slottable.$auth.api_token}`,
"Accept": `application/json`,
"Content-Type": `application/json`,
},
})
},
})
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}}