GitHub topics: web-sc

Repositories

LucasFaudman/souper-scraper

A simple web scraper base that combines BeautifulSoup and Selenium to scrape dynamic websites.

Language: Python - Size: 57.6 KB - Last synced at: 22 days ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1

devxoshakya/singularity-app

A lightning-fast CLI tool to create result extraction projects using Bun + TypeScript

Language: TypeScript - Size: 79.1 KB - Last synced at: 8 days ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

ayushmaanFCB/Faculty-Data-Scrapper-for-CollegeDunia

Scraps of faculty data with email, institution and location from College Dunia website and returns an excel sheet

Language: HTML - Size: 1.36 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

KalyanM45/YouTube-Content-Scraper

The provided Python code is a web application built using the Flask framework, designed to scrape data from YouTube based on a specified company name. This application aims to automate the process of collecting information about videos associated with a particular company on YouTube and present the data to users in a downloadable CSV file.

Language: Jupyter Notebook - Size: 44.9 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

Younes-Piro/DS_interview_RAG

This project gathers data from data science interviews, storing it in a ChromaDB using vector embeddings. Leveraging a Large Language Model (LLM), it functions as a Retrieval-Augmented Generation (RAG) system to answer questions based on this interview data.

Language: Jupyter Notebook - Size: 36.1 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Vamsi-Krishna-24/Customer-Segmentation-Sentiment-Analysis-and-Predictive-Modelling.

This project carefully studies the customer reviews of a airline company, around 10,000+ reviews are collected through webscrapping and and by sentiment analysis captured the expierence of the customers. And based on that designed a Machine learning algorithm which is a random forest classifier to predict customers who are likely to book seats.

Language: Python - Size: 8.63 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0