Hippo Video
The Only Interactive Video CX Platform You Ever Need to Create, Send & Track B2B Videos.
Integrate the Hippo Video API with the Python API
Setup the Hippo Video API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Hippo Video and Python remarkably fast. Free for developers.
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Popular Ways to Connect Hippo Video with Python#
Popular Hippo Video and Python Triggers#
Emit new event when any of the selected events are triggered.
Popular Hippo Video and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Sends a personalization request for a specified video. See the documentation
Overview of Hippo Video#
The Hippo Video API lets you harness the power of video in your business processes. Through Pipedream, you can automate video creation, management, and distribution workflows. This means you can trigger actions in Hippo Video based on events from other apps, or use Hippo Video events to kick off processes elsewhere. Whether it's automating video emails in your CRM, monitoring video analytics, or managing video content at scale, Pipedream's serverless platform empowers you to build and run workflows seamlessly.
Connect Hippo Video#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
hippo_video: {
type: "app",
app: "hippo_video",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.hippovideo.io/api/v1/me/videos/list`,
params: {
email: `${this.hippo_video.$auth.email}`,
api_key: `${this.hippo_video.$auth.api_key}`,
},
})
},
})
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}}Trusted by 1,000,000+ developers from startups to Fortune 500 companies