Vectera
Vectera is the easy way to meet clients online. Schedule appointments and conduct videomeetings. Start for free.
Integrate the Vectera API with the Python API
Setup the Vectera API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Vectera and Python remarkably fast. Free for developers.
Popular Vectera 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 Vectera#
The Vectera API enables users to streamline scheduling and video meeting management directly within their own platforms or through integration with other services. With the Vectera API, you can automate the creation of meeting rooms, manage contacts, and handle meeting recordings. Leverage Pipedream's capabilities to trigger workflows from various events, process data, and connect Vectera with other apps to create powerful automations.
Connect Vectera#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vectera: {
type: "app",
app: "vectera",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.vectera.com/api/v1/users`,
headers: {
"Content-Type": `${this.vectera.$auth.api_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}}