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The Project fetches trending YouTube videos using the YouTube Data API, stores the data in Google Cloud Storage, and loads it into a BigQuery table for analysis.

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hardik-agrl/Youtube_Trending_Pipeline

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Youtube_Trending_Pipeline

The Project fetches trending YouTube videos using the YouTube Data API, stores the data in Google Cloud Storage, and loads it into a BigQuery table for analysis.

files:

  • fetch_trending.py: Fetches trending videos and uploads to GCS.
  • load_to_bigquery.py: Loads JSON file from GCS into BigQuery table.

Tech Stack:

  • Python
  • YouTube Data API v3
  • Google Cloud Storage
  • BigQuery
  • python-dotenv.

References:

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The Project fetches trending YouTube videos using the YouTube Data API, stores the data in Google Cloud Storage, and loads it into a BigQuery table for analysis.

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