Popular GitHub Repositories for Beautifulsoup

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Scrape, analyze & visualize stock market data for the S&P500 using Python. Build a basic trading strategy using machine learning to assess company performance and determine buy, sell, hold. Read me & instructions available in Spanish. This is a working repo, with plans to expand the project from technical analysis to fundamental analysis.

Download Midjourney Showcase images automatically

An automatically updated feed with summaries of the best Habr.com articles generated by the YandexGPT neural network.

Python webapp that summarizes news with Cloudflare Workers AI LoRA, Mistral, Beautifulsoup, and Streamlit

Python course for 2nd year NLP students at NRU HSE, 2018-2019

B站的弹幕的获取，情感分析和词云图。

Extract Emails from Gmail account, convert to Excel file and classify using various classification algorithms.

A Python project that extracts data from websites with the option to process the data through @openai's ChatGPT API. The results are either printed to stdout or sent via a POST request.

Unleash the power of AI with SuperSummarizeAI! Effortlessly extract, condense, and clip content from webpages and YouTube videos using ChatGPT. Turning endless streams of content into digestible summaries.

AI Search engine

Scrapes headlines from CNN and FOX, then has ChatGPT do cross-analysis

Sentiment Analysis of Stock News Headlines using Natural Language Processing

Vecna is a Python chatbot which recommends songs and movies depending upon your feelings

In this project I have performed analysis and prediction on 1,3,and 5 year returns on 1064 mutual funds in India. I have scraped data from a website which is the most visited website for mutual fund investments.I have tested regression models linear model,SGD Regressor , Random Forest Regressor,Decision Tree Regressor,Ridge,MLP Regressor and linear model (Lasso).After which I have selected the best perorming model and performed Hyper parameter tuning and then deployed an interactive application which can generate the visualization and send an email with the visualization to the users email address.

Detecting fake news articles by analyzing patterns in writing.

Scrape Indeed.com, vectorize job listings with Spacy and find job descriptions similar to resume with scikit-learn KNN.

Predicting tags for StackOverflow Questions