← YouTube (Data API) + Python integrations

Run Python Code with Python API on New Videos by Search from YouTube (Data API) API

Pipedream makes it easy to connect APIs for Python, YouTube (Data API) and 1,600+ other apps remarkably fast.

Trigger workflow on
New Videos by Search from the YouTube (Data API) API
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Run Python Code with the Python API
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Getting Started

This integration creates a workflow with a YouTube (Data API) trigger and Python action. When you configure and deploy the workflow, it will run on Pipedream's servers 24x7 for free.

  1. Select this integration
  2. Configure the New Videos by Search trigger
    1. Connect your YouTube (Data API) account
    2. Configure Maximum Results
    3. Configure Polling interval
    4. Configure Search Query
  3. Configure the Run Python Code action
    1. Connect your Python account
  4. Deploy the workflow
  5. Send a test event to validate your setup
  6. Turn on the trigger

Details

This integration uses pre-built, source-available components from Pipedream's GitHub repo. These components are developed by Pipedream and the community, and verified and maintained by Pipedream.

To contribute an update to an existing component or create a new component, create a PR on GitHub. If you're new to Pipedream component development, you can start with quickstarts for trigger span and action development, and then review the component API reference.

Trigger

Description:Emit new event for each new YouTube video matching a search query.
Version:0.0.9
Key:youtube_data_api-new-videos-by-search

YouTube (Data API) Overview

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

Trigger Code

import youtubeDataApi from "../../youtube_data_api.app.mjs";
import common from "./common.mjs";

export default {
  ...common,
  type: "source",
  key: "youtube_data_api-new-videos-by-search",
  name: "New Videos by Search",
  description: "Emit new event for each new YouTube video matching a search query.",
  version: "0.0.9",
  dedupe: "unique",
  props: {
    youtubeDataApi,
    maxResults: {
      propDefinition: [
        youtubeDataApi,
        "maxResults",
      ],
    },
    ...common.props,
  },
};

Trigger Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI and CLI.
LabelPropTypeDescription
YouTube (Data API)youtubeDataApiappThis component uses the YouTube (Data API) app.
Maximum ResultsmaxResultsinteger

The maximum number of results in a channel to return. Should be divisible by 5 (ex. 5, 10, 15).

N/Adb$.service.dbThis component uses $.service.db to maintain state between executions.
Polling intervaltimer$.interface.timer

Pipedream will poll the YouTube API on this schedule

Search Queryqstring

Search for new videos that match these keywords.

Trigger Authentication

YouTube (Data API) uses OAuth authentication. When you connect your YouTube (Data API) account, Pipedream will open a popup window where you can sign into YouTube (Data API) and grant Pipedream permission to connect to your account. Pipedream securely stores and automatically refreshes the OAuth tokens so you can easily authenticate any YouTube (Data API) API.

Pipedream requests the following authorization scopes when you connect your account:

emailprofilehttps://www.googleapis.com/auth/youtube.readonlyhttps://www.googleapis.com/auth/youtube.uploadhttps://www.googleapis.com/auth/youtube

About YouTube (Data API)

Online video platform

Action

Description:Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.
Version:0.0.2
Key:python-run-python-code

Python Overview

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

Action Code

import python from "../../python.app.mjs";

export default {
  name: "Run Python Code",
  version: "0.0.2",
  key: "python-run-python-code",
  description: "Write Python and use any of the 350k+ PyPi packages available. Refer to the [Pipedream Python docs](https://pipedream.com/docs/code/python) to learn more.",
  props: {
    python,
  },
  type: "action",
  methods: {},
  async run({
    steps, $,
  }) {
    // Placeholder action for Python code app
  },
};

Action Configuration

This component may be configured based on the props defined in the component code. Pipedream automatically prompts for input values in the UI.

LabelPropTypeDescription
PythonpythonappThis component uses the Python app.

Action Authentication

The Python API does not require authentication.

About Python

Anything you can do in Python can be done in a Pipedream Workflow. This includes using any of the 350,000+ PyPi packages available in your Python powered workflows.

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