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Chirag529 / repository
Python-based web scraping of manga data from Amazon and insightful analysis using Jupyter Notebook
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sairajjadhav123 /
Exploring the depths of e-commerce through a Python-based web scraping project, this repository showcases a journey into analyzing Amazon product data. Leveraging pandas and Jupyter Notebook, it offers insights into pricing trends and product details, encapsulating the dynamic landscape of online retail.
27/100 healthZacheryPaterson /
Python based web scraper using Jupyter Notebook
27/100 healthShilpasree183 /
This project demonstrates how to extract tabular data from a webpage using web scraping techniques with Python, Jupyter Notebook, and Pandas. The process involves fetching the HTML content of a webpage, parsing it to locate the desired table, and converting it into a Pandas DataFrame for further analysis.
27/100 healthdishakurkure-alt /
Python-based weather data scraper and logger built in Jupyter Notebook. Demonstrates web scraping, data preprocessing, OOP, and file handling.
34/100 healthCHANDRU-MC /
This repository contains a Python-based web scraping project that extracts product data from Amazon. The project includes a Jupyter Notebook (Web_Scarping_amaz.ipynb) that demonstrates how to scrape product titles, prices, ratings, reviews, and availability using BeautifulSoup and requests. The scraped data is saved in a CSV file (amazon_data.csv)
30/100 healthSAATHVIK7878 /
A Python-based project that demonstrates how real-world data can be collected from the web and analyzed to uncover meaningful insights. The project involves scraping laptop data from an e-commerce website, cleaning and organizing the data, and performing exploratory data analysis using Jupyter Notebook and Python libraries.
42/100 health