YouTube (Data API)
Online video platform
Integrate the YouTube (Data API) API with the Python API
Setup the YouTube (Data API) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate YouTube (Data API) and Python remarkably fast. Free for developers.
Popular Ways to Connect YouTube (Data API) with Python#
Popular YouTube (Data API) 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.
Popular YouTube (Data API) 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)#
There are lots of things you can build using the YouTube API! Here are just a
few examples:
- A YouTube video player
- A YouTube search engine
- A tool to help you find popular videos on YouTube
- A way to keep track of your favorite YouTube videos
- A way to find new and interesting YouTube channels to watch
Connect YouTube (Data API)#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
youtube_data_api: {
type: "app",
app: "youtube_data_api",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.youtube_data_api.$auth.oauth_access_token}`,
},
})
},
})
Overview of Python#
Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.
By using Pipedream, you can easily:
- Create automated workflows that run on a specific schedule
- Compose workflows across various apps and services
- React to events in cloud services or form data
- Automatically create content and notifications
- Construct classifications and predictions
- Analyze and react to sentiment, sentiment analysis and sentiment score
- Connect backends to the frontend with serverless functions
- Work with files and databases
- Perform web requests and fetch data
- Integrate third-party APIs into your apps
- Orchestrate data processing tasks and pipelines
- Create powerful application APIs with authentication and authorization
- Design CI/CD pipelines and Continuous Delivery services
- Connect databases like MongoDB and MySQL
- Monitor connections and events
- Generate alerts and notifications for corresponding events
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}}Community Posts#
