Get Channel ID via YouTube API

Test this app for free
67
import logging
import os
import requests
from fastapi import FastAPI, HTTPException
from fastapi.responses import RedirectResponse
from some_get_request_handler import handle_get_endpoint
from some_post_request_handler import handle_post_endpoint, Data


logger = logging.getLogger(__name__)
logging.basicConfig(level=logging.WARNING)

app = FastAPI()

@app.get("/", include_in_schema=False)
def root():
    return RedirectResponse(url='/docs')

# Importing KeywordData class from youtube_trending_videos.py
from youtube_trending_videos import get_channel_id

app.post("/channel/")(get_channel_id)

if __name__ == "__main__":
Get full code

Frequently Asked Questions

What are some potential business applications for this YouTube Channel ID Finder?

The Get Channel ID via YouTube API template can be valuable for various business applications: - Social media marketing: Easily identify and track influential channels in your niche. - Competitor analysis: Quickly gather channel information for competitor research. - Influencer outreach: Streamline the process of finding channel details for potential collaborations. - Content curation: Efficiently collect channel data for content aggregation platforms.

How can this template benefit content creators and marketers?

Content creators and marketers can leverage the Get Channel ID via YouTube API template to: - Save time by automating the process of finding channel information. - Ensure accuracy in channel identification for reporting and analytics. - Facilitate easier integration with other tools that require channel IDs. - Quickly gather data for multiple channels to inform content strategy decisions.

Is it possible to extend this template for more comprehensive YouTube data analysis?

Absolutely! The Get Channel ID via YouTube API template provides a solid foundation that can be extended for more comprehensive YouTube data analysis. You could add functionality to: - Retrieve video statistics (views, likes, comments) - Analyze channel growth over time - Compare multiple channels - Generate reports on channel performance These extensions would make the template even more valuable for businesses looking to gain deeper insights into YouTube channels and content performance.

How can I add error handling for cases where the video URL is invalid?

You can enhance the get_channel_id function in the Get Channel ID via YouTube API template to include error handling for invalid video URLs. Here's an example of how you might modify the function:

```python def get_channel_id(data: VideoUrlData): api_key = os.environ['YOUTUBE_API_KEY'] try: video_id = data.video_url.split("v=")[1] except IndexError: raise HTTPException(status_code=400, detail="Invalid YouTube URL")

   video_details_url = "https://www.googleapis.com/youtube/v3/videos"
   video_params = {
       "part": "snippet",
       "id": video_id,
       "key": api_key
   }

   r = requests.get(video_details_url, params=video_params)
   if r.status_code != 200:
       raise HTTPException(status_code=500, detail="Error fetching video details from YouTube")

   items = r.json().get('items', [])
   if not items:
       raise HTTPException(status_code=404, detail="Video not found")

   channel_details = items[0]['snippet']
   channel_id = channel_details['channelId']
   channel_name = channel_details['channelTitle']
   return {"channel_id": channel_id, "channel_name": channel_name}

```

This modification adds checks for invalid URLs and non-existent videos, providing more informative error messages.

Can I modify the template to retrieve additional channel information?

Yes, you can modify the Get Channel ID via YouTube API template to retrieve additional channel information. You'll need to make an additional API call to the channels endpoint. Here's an example of how you could extend the get_channel_id function:

```python def get_channel_info(data: VideoUrlData): channel_basic = get_channel_id(data) channel_id = channel_basic['channel_id']

   api_key = os.environ['YOUTUBE_API_KEY']
   channel_url = "https://www.googleapis.com/youtube/v3/channels"
   channel_params = {
       "part": "snippet,statistics",
       "id": channel_id,
       "key": api_key
   }

   r = requests.get(channel_url, params=channel_params)
   if r.status_code != 200:
       raise HTTPException(status_code=500, detail="Error fetching channel details from YouTube")

   channel_data = r.json()['items'][0]
   return {
       "channel_id": channel_id,
       "channel_name": channel_basic['channel_name'],
       "subscriber_count": channel_data['statistics']['subscriberCount'],
       "view_count": channel_data['statistics']['viewCount'],
       "video_count": channel_data['statistics']['videoCount'],
       "channel_description": channel_data['snippet']['description']
   }

```

This modification retrieves additional information such as subscriber count, view count, video count, and channel description. Remember to update your API request to include the necessary parts.

Created: | Last Updated:

A FastAPI application to find YouTube channel ID. By simply providing a video URL, users can retrieve information about the video's channel, including the channel ID and channel name. The app leverages the YouTube API to fetch this data, requiring users to set a YOUTUBE_API_KEY in the environment variables for it to function correctly.

Introduction to the YouTube Channel ID Retrieval Template

This template is designed to help you create an application that can fetch the channel ID and channel name from a given YouTube video URL. It utilizes the YouTube API to extract this information, which can be particularly useful for developers looking to integrate YouTube channel data into their applications or services.

Clicking Start with this Template

To begin using this template, simply click on the "Start with this Template" button. This will pre-populate the code in the Lazy Builder interface, so you won't need to copy, paste, or delete any code.

Initial setup: Adding Environment Secrets

Before you can use this template, you'll need to set up an environment secret for the YouTube API key. Here's how to do it:

1. Obtain a YouTube API key by visiting the [Google Developers Console](https://console.developers.google.com/). 2. Create a project if you haven't already. 3. Navigate to "Credentials" and click on "Create credentials" to generate a new API key. 4. Once you have your API key, go to the Environment Secrets tab within the Lazy Builder. 5. Add a new secret with the key `YOUTUBE_API_KEY` and paste your YouTube API key as the value.

Test: Pressing the Test Button

After setting up your environment secret, press the "Test" button to deploy the app. The Lazy CLI will handle the deployment, and you won't need to worry about installing libraries or setting up your environment.

Entering Input: Filling in User Input

If the template requires user input, you will be prompted to provide it through the Lazy CLI after pressing the "Test" button. For this template, you will need to input the YouTube video URL when prompted.

Using the App

Once the app is deployed, Lazy will provide you with a dedicated server link to use the API. Additionally, since this template uses FastAPI, you will also be provided with a `/docs` link where you can interact with the API's documentation and test endpoints directly.

Here's a sample request you might make to the API:

`POST /channel/
Content-Type: application/json

{
    "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
}`

And here's a sample response you might receive:

{     "channel_id": "UC38IQsAvIsxxjztdMZQtwHA",     "channel_name": "RickAstleyVEVO" }

Integrating the App

If you wish to integrate this app into an external service or frontend, you may need to add the app's server link provided by Lazy to your tool. For example, if you're building a dashboard that displays YouTube channel information, you would send a POST request to the `/channel/` endpoint with the video URL as the payload.

Remember to handle the API key securely and not expose it in the frontend or any public repositories. Always use server-side code or environment secrets to store sensitive information like API keys.

By following these steps, you should now have a functional application that can retrieve YouTube channel IDs and names based on video URLs, all set up and ready to be integrated into your project.



Here are 5 key business benefits for this template:

Template Benefits

  1. YouTube Channel Analysis: Businesses can quickly retrieve channel IDs for competitor analysis, influencer identification, or market research, enabling data-driven decisions in content strategy and partnerships.

  2. Automated Content Aggregation: Companies can use this template as a foundation for building content aggregation tools, automatically collecting videos from specific channels for curation or analysis purposes.

  3. Influencer Marketing Efficiency: Marketing teams can streamline their influencer outreach process by easily obtaining channel information, saving time and resources in campaign planning and execution.

  4. API Integration Showcase: This template serves as a practical example of API integration, which can be used for training developers or demonstrating API capabilities to clients or stakeholders.

  5. Scalable Data Collection: The FastAPI framework allows for easy scaling, making this template suitable for businesses that need to process large volumes of YouTube data efficiently for various analytical or operational purposes.

Technologies

FastAPI Templates and Webhooks FastAPI Templates and Webhooks

Similar templates

FastAPI endpoint for Text Classification using OpenAI GPT 4

This API will classify incoming text items into categories using the Open AI's GPT 4 model. If the model is unsure about the category of a text item, it will respond with an empty string. The categories are parameters that the API endpoint accepts. The GPT 4 model will classify the items on its own with a prompt like this: "Classify the following item {item} into one of these categories {categories}". There is no maximum number of categories a text item can belong to in the multiple categories classification. The API will use the llm_prompt ability to ask the LLM to classify the item and respond with the category. The API will take the LLM's response as is and will not handle situations where the model identifies multiple categories for a text item in the single category classification. If the model is unsure about the category of a text item in the multiple categories classification, it will respond with an empty string for that item. The API will use Python's concurrent.futures module to parallelize the classification of text items. The API will handle timeouts and exceptions by leaving the items unclassified. The API will parse the LLM's response for the multiple categories classification and match it to the list of categories provided in the API parameters. The API will convert the LLM's response and the categories to lowercase before matching them. The API will split the LLM's response on both ':' and ',' to remove the "Category" word from the response. The temperature of the GPT model is set to a minimal value to make the output more deterministic. The API will return all matching categories for a text item in the multiple categories classification. The API will strip any leading or trailing whitespace from the categories in the LLM's response before matching them to the list of categories provided in the API parameters. The API will accept lists as answers from the LLM. If the LLM responds with a string that's formatted like a list, the API will parse it and match it to the list of categories provided in the API parameters.

Icon 1 Icon 1
218

We found some blogs you might like...