Fetch real‑time market data, pull the latest Yahoo Finance headlines, score each story’s sentiment, and let an LLM rank the news by its likely impact on the stock.

Why another scraper?
Yahoo’s HTML keeps changing, so the project now relies on the much more stable yfinance JSON endpoints for prices and news items.
Everything else—sentiment analysis, ranking, and charting—happens locally.

Features

• Real‑time quotes – get the current price directly from Yahoo Finance.
• News retrieval – pull in up‑to‑the‑minute articles for any ticker.
• Headline sentiment – score each story with TextBlob. (Currently trying to fine-tune new TextBlob library with financial news sentiment data).
• AI article ranking – call OpenAI to order stories by potential impact.
• Historical charts – visualize price history with Matplotlib.

Quick‑start (CLI or Flask)

# 1. Clone & create an isolated env
git clone https://github.com/blee1616/PythonWebScraper.git
cd PythonWebScraper
python -m venv .venv && source .venv/bin/activate        # Windows? .venv\Scripts\activate

# 2. Install dependencies
pip install -r requirements.txt

# 3. Set your OpenAI key (bash)
export OPENAI_API_KEY="sk‑..."

# 4a. Run the Flask web app
python app.py              # then open http://127.0.0.1:5000

# 4b. —or— run the stand‑alone script
python old.py --ticker AAPL --days 90