Airflow orchestrated ETL pipeline for extracting board game data from BoardGameGeek.com

Diggernaut meta language documentation

This project enables user to chose pages as per choice of a website and gets it in PDF form.

Listening In: A Content Analysis of TED's YouTube and Spotify Channels

With this project, you see the visualization of open ports around the world on a map.

Application that scrapes the Zomato Dataset and enables the user to visualise the results.

Welcome to QuickZonalOCR! Right now, it's a work in progress, but the goal is to make creating your own key-value document extraction models fairly easily. Think of it as your friendly tool-in-the-making for smart, hassle-free ML model creation. Stay tuned for updates!

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.

This project aims to extract data from a website and then process and analyse them. The website that was selected is called Maroof. Maroof is a Saudi initiative that has the objective of supporting businesses to have an online channel in order to bloom the E-commerce market in the Kingdom

Web scraping Webometrics and Wlkilpedia using Python (Beautiful soup and Wptools) to make a list of top 100 Universities in nigeria

Modular tool for automatic HTML data extraction (Masters thesis)

Bookdown source files for EDAV final project

A Selenium WebDriver project that reads all article and post analytics, and stores it in an MS Excel file.

Project created for the Electronic Publishing and Digital Storytelling course taught by Prof. Marilena Daquino during the year 2021-2022 at the University of Bologna.

Collect data by scraping web pages, then analyze your findings. Learn how to use APIs to retrieve real-time data from Twitter.

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.

🚜 Parse text and tables from PDF files.