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This is youtube data harvesting project using ETL pipeline there are certain procedures to scrape the youtube data. This involves Storing and retrieving the data from My Sql, and Mongo-db. Querying the tables created to get an insight of the data and finaly deploying the Streamlit App
The "YouTube Data Analyzer" is a versatile tool for businesses and content creators, enabling them to gather, analyze, and harness valuable insights from multiple YouTube channels. With streamlined data collection, storage in MongoDB, migration to SQL, and a user-friendly Streamlit interface, it empowers users to make data-driven decisions
[ Extract information on a specific YouTube channel by using the youtube id, and analyse data depending on a set of questions to the user. ] | YouTube Id | Python | Pandas | Numpy | Mongodb | MySQL | Streamlit | Plotly |
SearchMate is CLI tool that helps in searching the equivalent content over the internet by taking reference of a document (.txt,.pdf,.docx) and list down the URL with their appropriate find scores.
#User can extract a YouTube Channel's Data by using the Channel's ID and can analyze the data using a set of questions provided # | YouTube | API | Python | MySQL | Pandas | SQLAlchemy | Streamlit |
SearchMate is CLI tool that helps in searching the equivalent content over the internet by taking reference of a document(.txt,.pdf,.docx) and list down the URL with their appropriate find scores.
[ Extract information on a specific YouTube channel by using the youtube id, and analyse data depending on a set of questions to the user. ] | YouTube Id | Python | Pandas | Numpy | Mongodb | MySQL | Streamlit | Plotly |