Vimeo enables you to watch videos in HD with all the video tools you need, and no ads: upload, screen record, live stream, edit, collaborate, share, and manage your videos.
Adds an existing video to a user's album/showcase on Vimeo. See the documentation
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Permanently deletes a video from the user's Vimeo account. This action can't be undone. See the documentation
Uploads a video to the user's Vimeo account. Ensure you have enough storage quota on your account. See the documentation
The Vimeo API equips you to interact programmatically with the Vimeo platform, allowing you to manage videos, users, and albums. With Pipedream, you can choreograph this functionality into automation, integrating Vimeo's capabilities with countless other services. Pipedream's serverless platform streamlines the process of setting up event-driven workflows, custom reactions to video uploads, or even coordinating marketing efforts that hinge on your video content.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
vimeo: {
type: "app",
app: "vimeo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.vimeo.com/me`,
headers: {
Authorization: `Bearer ${this.vimeo.$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}}