WaiverFile lets your customers sign their release waivers from a computer, tablet or mobile device. From your website or at a kiosk, completing the forms is quick and easy.
Emit new event when an existing event in WaiverFile is edited. See the documentation
Emit new event when a new event is created in Waiverfile. See the documentation
Emit new event each time a new waiver is collected in WaiverFile. See the documentation
Creates a new event category in WaiverFile. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Searches for waivers in WaiverFile based on specific keywords. See the documentation
Updates the details of an existing event in WaiverFile. See the documentation
With the WaiverFile API, you can automate interactions with your WaiverFile account directly from Pipedream. This API provides access to manage and retrieve waivers, customer data, and events, allowing you to integrate WaiverFile with other services for streamlined workflows. You could automate the sending of waiver links, synchronize signed waivers with a database, or trigger actions based on waiver completions. The flexibility of the WaiverFile API means you can create powerful automations tailored to your business needs on Pipedream's serverless platform.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
waiverfile: {
type: "app",
app: "waiverfile",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.waiverfile.com/api/v1/GetSiteDetails`,
headers: {
"Accept": `application/json`,
},
params: {
apiKey: `${this.waiverfile.$auth.site_key}`,
siteID: `${this.waiverfile.$auth.site_id}`,
},
})
},
})
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}}