YouTube (Data API) - Custom App
Connect to the YouTube Data API with a custom OAuth client
Integrate the YouTube (Data API) - Custom App API with the Python API
Setup the YouTube (Data API) - Custom App API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate YouTube (Data API) - Custom App and Python remarkably fast. Free for developers.
Popular Ways to Connect YouTube (Data API) - Custom App with Python#
Popular YouTube (Data API) - Custom App and Python Triggers#
Emit new event for each new comment or reply posted to a Youtube video.
Emit new event for each new Youtube video liked by the authenticated user
Emit new event for each new Youtube subscriber to user Channel.
Emit new event for each new subscription from authenticated user.
Emit new event for each new Youtube video the user posts.
Popular YouTube (Data API) - Custom App and Python Actions#
Adds resources to a playlist. See the docs for more information
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
Returns statistics from my YouTube Channel or by id. See the docs for more information
Creates a new top-level comment in a video. See the docs for more information
Creates a playlist. See the docs for more information
Overview of YouTube (Data API) - Custom App#
The YouTube (Data API) - Custom App API on Pipedream lets you wield the vast capabilities of YouTube's platform directly within your automated workflows. Leverage this API to manage channels, playlists, subscriptions, and videos. You can automate video uploads, sync channel data with other platforms, analyze metrics, and engage with your audience without manual intervention. Utilize the power of serverless and event-driven architecture to respond to video events in real-time, enrich your marketing strategies, and maintain an active, data-informed YouTube presence.
Connect YouTube (Data API) - Custom App#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
youtube_data_api_custom_app: {
type: "app",
app: "youtube_data_api_custom_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.youtube_data_api_custom_app.$auth.oauth_access_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}}