Cloud-based software for membership management, events, and more.
Emit new event when a contact or member in WildApricot is updated
Emit new event when a registration to an existing event in WildApricot is newly created.
Emit new event each time a new payment is received in WildApricot
Adds or updates a contact or member details in the user's WildApricot database. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Searches event registrations using a contact email. If a match is found, the registration details are updated. If not, a new registration is added to the event. See the documentation
Removes an event registration from the user's WildApricot database. See the documentation
The WildApricot API opens up a world of possibilities for managing your membership-driven organization efficiently by automating tasks and integrating with other services. With this API on Pipedream, you can craft workflows that manipulate member data, automate event creation and management, handle financial operations such as invoicing, and engage with members through tailored communication. Pipedream's serverless platform simplifies the process of setting up these automations with pre-built components and easy-to-use triggers and actions for the WildApricot API.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wildapricot: {
type: "app",
app: "wildapricot",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.wildapricot.org/v2.2/accounts`,
headers: {
Authorization: `Bearer ${this.wildapricot.$auth.oauth_access_token}`,
},
})
},
})
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}}