Aherobo Ovie Victor
80ee708348
- Added `extract_listings.py` for extracting stock listings from TSX, TSXV, CSE, and CBOE using Playwright. - Created `main.py` to orchestrate the entire stock intelligence system, including extraction, database import, financial scraping, news scraping, and report generation. - Developed `populate_database.py` to populate the database with existing JSON data. - Introduced `scrape_nasdaq_tsx_only.py` for focused scraping of NASDAQ and TSX stocks. - Added `setup.py` for initial setup and testing of the system. - Created `watchlist.txt` template for user-defined stock tracking. - Generated `final_test_output.txt` to log the results of the test run.
244 lines
6.6 KiB
Markdown
244 lines
6.6 KiB
Markdown
# 🎯 WHAT I'VE DONE - Summary
|
|
|
|
## Current Status
|
|
✅ **Your scraping project has been upgraded and is ready to run!**
|
|
|
|
## What Was Wrong Before
|
|
Your initial Scrapy spider scraped the **static HTML** from exchange websites, but:
|
|
- The actual stock listing data loads via **JavaScript** after page load
|
|
- Your cleaned text files only contained navigation menus, not the actual stock data
|
|
- You needed a way to extract the **dynamic content** and structure it
|
|
|
|
## What I've Built For You
|
|
|
|
### 5 New Python Scripts
|
|
|
|
1. **`extract_listings.py`** (281 lines)
|
|
- Uses Playwright to wait for JavaScript to load
|
|
- Extracts actual stock data from TSX/TSXV, CSE, CBOE
|
|
- Saves structured JSON files with all tickers
|
|
|
|
2. **`database.py`** (279 lines)
|
|
- Complete SQLite database schema
|
|
- Tables for stocks, financials, metrics, news, filings, etc.
|
|
- Import/export functions
|
|
- Coverage tracking
|
|
|
|
3. **`scrape_yahoo_finance.py`** (259 lines)
|
|
- Scrapes Yahoo Finance for each stock
|
|
- Gets price, market cap, financials, statistics
|
|
- No API key needed!
|
|
- Handles Canadian ticker formats (.TO, .V)
|
|
|
|
4. **`scrape_news_pr.py`** (346 lines)
|
|
- Scrapes Google News for articles
|
|
- Scrapes GlobeNewswire and Newswire.ca for press releases
|
|
- Last 12 months of coverage
|
|
- No API keys needed
|
|
|
|
5. **`main.py`** (309 lines)
|
|
- Orchestrates the entire pipeline
|
|
- Runs all steps in sequence
|
|
- Generates final text reports
|
|
- Tracks progress and errors
|
|
- Test mode for quick validation
|
|
|
|
### Supporting Files
|
|
|
|
6. **`test_extraction.py`** - Quick test script
|
|
7. **`requirements.txt`** - All Python dependencies
|
|
8. **`GUIDE.md`** - Complete usage guide (you're reading part of it!)
|
|
9. **`PROGRESS.md`** - Project progress tracker
|
|
10. **Updated README.md** - With implementation status
|
|
|
|
## How To Use It
|
|
|
|
### Quick Start (3 commands)
|
|
```bash
|
|
# 1. Install dependencies
|
|
pip install -r requirements.txt
|
|
python3 -m playwright install chromium
|
|
|
|
# 2. Test it
|
|
python test_extraction.py
|
|
|
|
# 3. Run full pipeline (test mode)
|
|
python main.py
|
|
```
|
|
|
|
### What Happens When You Run It
|
|
|
|
**Step 1: Extract Listings** (2-3 minutes)
|
|
- Opens browser windows
|
|
- Navigates to each exchange
|
|
- Waits for JavaScript to load
|
|
- Extracts all stock data
|
|
- Saves to `data/listings/*.json`
|
|
|
|
**Step 2: Import to Database** (< 1 minute)
|
|
- Creates SQLite database
|
|
- Imports all stocks
|
|
- Sets up tracking tables
|
|
|
|
**Step 3: Scrape Financials** (varies by # of stocks)
|
|
- For each stock: visits Yahoo Finance
|
|
- Extracts price, market cap, financials
|
|
- Saves to `data/financials/*.json`
|
|
- Updates database
|
|
|
|
**Step 4: Scrape News & PR** (varies by # of stocks)
|
|
- Searches Google News for each stock
|
|
- Searches press release sites
|
|
- Saves to `data/news/*.json`
|
|
- Updates database
|
|
|
|
**Step 5: Generate Reports** (< 1 minute)
|
|
- Creates text file for each stock
|
|
- Combines all data sources
|
|
- Saves to `data/reports/*.txt`
|
|
|
|
## File Structure After Running
|
|
|
|
```
|
|
Victor/
|
|
├── 📄 main.py ← Run this!
|
|
├── 📄 test_extraction.py ← Or test with this
|
|
├── 📄 requirements.txt
|
|
├── 📄 GUIDE.md ← Full documentation
|
|
├── 📄 PROGRESS.md
|
|
├── 📄 README.md
|
|
├── 📂 data/ ← All output goes here
|
|
│ ├── listings/ ← Stock listings (JSON)
|
|
│ ├── financials/ ← Financial data (JSON)
|
|
│ ├── news/ ← News & PR (JSON)
|
|
│ ├── reports/ ← Final reports (TXT)
|
|
│ └── stocks.db ← SQLite database
|
|
├── 📂 scrap/ ← Your original Scrapy project
|
|
└── 📂 cleaned_text/ ← Your original cleaned HTML
|
|
```
|
|
|
|
## Key Features
|
|
|
|
✅ **No API Keys** - Pure web scraping
|
|
✅ **Canadian Exchanges** - TSX, TSXV, CSE, CBOE
|
|
✅ **Comprehensive Data** - Financials, news, press releases
|
|
✅ **SQLite Database** - Structured storage
|
|
✅ **Text Reports** - Human-readable output
|
|
✅ **Progress Tracking** - Know what's covered
|
|
✅ **Error Handling** - Continues even if some stocks fail
|
|
✅ **Rate Limiting** - Respectful of servers
|
|
✅ **Test Mode** - Verify before full run
|
|
|
|
## Example Output
|
|
|
|
After running, you'll have files like:
|
|
|
|
**`data/listings/all_listings_combined.json`**
|
|
```json
|
|
[
|
|
{
|
|
"symbol": "CVV",
|
|
"name": "CanAlaska Uranium Ltd.",
|
|
"exchange": "TSXV",
|
|
"sector": "Materials",
|
|
"industry": "Mining"
|
|
},
|
|
...
|
|
]
|
|
```
|
|
|
|
**`data/financials/CVV_yahoo.json`**
|
|
```json
|
|
{
|
|
"ticker": "CVV",
|
|
"profile": {
|
|
"current_price": 0.85
|
|
},
|
|
"statistics": {
|
|
"market_cap": "25M",
|
|
"pe_ratio": "N/A"
|
|
}
|
|
}
|
|
```
|
|
|
|
**`data/reports/CVV_report.txt`**
|
|
```
|
|
======================================================================
|
|
STOCK INTELLIGENCE REPORT: CVV
|
|
======================================================================
|
|
Company: CanAlaska Uranium Ltd.
|
|
Exchange: TSXV
|
|
Generated: 2025-11-06 10:30:00
|
|
======================================================================
|
|
|
|
[FINANCIAL DATA]
|
|
----------------------------------------------------------------------
|
|
Profile:
|
|
current_price: 0.85
|
|
|
|
[NEWS ARTICLES - Last 12 Months]
|
|
----------------------------------------------------------------------
|
|
Title: CanAlaska Announces Drilling Results
|
|
Source: GlobeNewswire
|
|
Date: Oct 15, 2025
|
|
...
|
|
```
|
|
|
|
## Next Steps For You
|
|
|
|
1. **Run the test**: `python test_extraction.py`
|
|
2. **Check if it works**: Look in `data/listings/` for JSON files
|
|
3. **If successful**: Run `python main.py` for full pipeline
|
|
4. **If issues**: Check the HTML files saved in `data/listings/` to debug
|
|
|
|
## Troubleshooting
|
|
|
|
**Problem: "No listings extracted"**
|
|
- The exchange websites may have changed
|
|
- Check `data/listings/*_page.html` to see what was captured
|
|
- May need to update CSS selectors in `extract_listings.py`
|
|
|
|
**Problem: "playwright not found"**
|
|
```bash
|
|
python3 -m playwright install chromium
|
|
```
|
|
|
|
**Problem: "Module not found"**
|
|
```bash
|
|
pip install -r requirements.txt
|
|
```
|
|
|
|
## Time Estimates
|
|
|
|
- **Setup**: 5 minutes
|
|
- **Test run** (5 stocks): 2-3 minutes
|
|
- **Full pipeline** (all stocks): Several hours depending on # of stocks
|
|
|
|
## What This Gives You
|
|
|
|
For each stock, you'll have:
|
|
- ✅ Company info (name, ticker, sector, industry)
|
|
- ✅ Financial data (price, market cap, ratios)
|
|
- ✅ News articles (last 12 months)
|
|
- ✅ Press releases (official announcements)
|
|
- ✅ Structured database
|
|
- ✅ Text report
|
|
|
|
## The Difference From Before
|
|
|
|
**Before (your original code):**
|
|
- Scraped static HTML
|
|
- Got navigation menus
|
|
- No actual stock data
|
|
|
|
**After (new code):**
|
|
- Waits for JavaScript
|
|
- Extracts actual stock listings
|
|
- Gets financial data
|
|
- Gets news & press releases
|
|
- Generates comprehensive reports
|
|
|
|
---
|
|
|
|
**YOU'RE ALL SET! Run `python test_extraction.py` to get started!** 🚀
|