8x8 (Wavecell)
Communications platform as a service
Integrate the 8x8 (Wavecell) API with the Python API
Setup the 8x8 (Wavecell) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate 8x8 (Wavecell) and Python remarkably fast. Free for developers.
Popular 8x8 (Wavecell) 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 8x8 (Wavecell)#
The 8x8 (Wavecell) API offers robust capabilities for voice and SMS messaging services, enabling you to engage customers through automated communications. Whether it's sending out timely notifications, verifying user identities with OTPs, or streamlining customer support processes, the API provides a versatile platform for enhancing your communication workflows. With Pipedream, you can harness this potential by crafting serverless integrations that trigger 8x8 actions based on events from countless other apps, or even custom logic.
Connect 8x8 (Wavecell)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
wavecell: {
type: "app",
app: "wavecell",
}
},
async run({steps, $}) {
const data = {
"destination": ``,
"text": ``,
"source": ``,
}
return await axios($, {
method: "post",
url: `https://api.wavecell.com/sms/v1/${this.wavecell.$auth.subAccountId}/single`,
headers: {
Authorization: `Bearer ${this.wavecell.$auth.api_key}`,
},
data,
})
},
})
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}}