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data-extraction

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Metadetabase of 13145 records generated for Allergens with a tabular view of the data. Web interface connected to ease the use, analysis and extraction of data with several added functionalities. Tutorial section added to educate the users of the interface design and features and the database.

  • Updated Jun 5, 2021
  • HTML

In this project, we built a database that demonstrates the changes in American top fastest-growing private companies through time. The database is built on by ingesting, combining, and restructuring data from three main data sources into a conformed one Postgresql database, and deploy into the Flask app.

  • Updated Aug 17, 2020
  • HTML

🌐 BeautifulSoup: Effortlessly scrape and parse web data with this powerful Python library! Perfect for developers needing quick and reliable HTML/XML data extraction. Start saving time on your projects today! [MIRROR][UNOFFICIAL]

  • Updated Sep 3, 2024
  • HTML

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