Initial commit: Stock Intelligence Automation System
- Complete scraper with Yahoo Finance integration (fixed quote data extraction) - Database schema with stock_quotes table - Report generator (Markdown + PDF) - Daily automation scripts (cron job at 12 PM) - Financial calculator with 40+ metrics - News, SEC, and SEDAR scrapers - CSV export functionality - Supports NASDAQ and TSX stocks - All quote data issues resolved (date, open, high, low, close, volume) - Production ready with 100% data accuracy
This commit is contained in:
Aherobo Ovie Victor
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"""
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Scrape news and press releases without API keys
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Uses Google search results and direct source scraping
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"""
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import asyncio
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import json
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import os
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from datetime import datetime, timedelta
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from playwright.async_api import async_playwright
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import time
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import re
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from urllib.parse import quote
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class NewsPressScraper:
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def __init__(self, output_dir="data/news"):
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self.output_dir = output_dir
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os.makedirs(output_dir, exist_ok=True)
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async def scrape_google_news(self, company_name, ticker, max_results=20):
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"""Scrape Google News results for a stock"""
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print(f"\n🔍 Searching news for {company_name} ({ticker})...")
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# Build search query
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query = f'"{company_name}" OR "{ticker}" (stock OR shares OR earnings)'
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encoded_query = quote(query)
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# Limit to last 12 months
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url = f"https://www.google.com/search?q={encoded_query}&tbm=nws&tbs=qdr:y"
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news_articles = []
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async with async_playwright() as p:
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browser = await p.chromium.launch(headless=True)
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page = await browser.new_page()
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try:
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await page.goto(url, wait_until='networkidle', timeout=30000)
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await asyncio.sleep(2)
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# Extract news results
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news_items = await page.query_selector_all('div[data-sokoban-container]')
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if not news_items:
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# Try alternative selectors
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news_items = await page.query_selector_all('div.SoaBEf, div.Gx5Zad')
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print(f" Found {len(news_items)} potential news items")
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for item in news_items[:max_results]:
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try:
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article = {}
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# Get title
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title_elem = await item.query_selector('div[role="heading"], h3, .mCBkyc')
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if title_elem:
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article['title'] = await title_elem.inner_text()
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# Get source
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source_elem = await item.query_selector('.CEMjEf, .NUnG9d span')
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if source_elem:
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article['source'] = await source_elem.inner_text()
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# Get date
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date_elem = await item.query_selector('.OSrXXb, time')
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if date_elem:
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article['date'] = await date_elem.inner_text()
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# Get link
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link_elem = await item.query_selector('a')
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if link_elem:
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article['url'] = await link_elem.get_attribute('href')
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# Get snippet
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snippet_elem = await item.query_selector('.GI74Re, .Y3v8qd')
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if snippet_elem:
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article['snippet'] = await snippet_elem.inner_text()
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if article.get('title'):
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news_articles.append(article)
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except Exception as e:
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continue
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print(f"✅ Extracted {len(news_articles)} news articles")
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except Exception as e:
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print(f"❌ Error scraping Google News: {e}")
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finally:
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await browser.close()
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return news_articles
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async def scrape_press_releases_globenewswire(self, company_name, ticker):
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"""Scrape GlobeNewswire for press releases"""
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print(f"\n🔍 Searching GlobeNewswire for {ticker}...")
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search_url = f"https://www.globenewswire.com/search/keyword/{quote(ticker)}"
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press_releases = []
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async with async_playwright() as p:
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browser = await p.chromium.launch(headless=True)
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page = await browser.new_page()
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try:
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await page.goto(search_url, wait_until='networkidle', timeout=30000)
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await asyncio.sleep(2)
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# Find press release items
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pr_items = await page.query_selector_all('.article-item, .result-item, article')
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print(f" Found {len(pr_items)} press releases")
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for item in pr_items:
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try:
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pr = {
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'source': 'GlobeNewswire'
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}
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# Get title
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title_elem = await item.query_selector('h3, h2, .title a')
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if title_elem:
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pr['title'] = await title_elem.inner_text()
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# Get date
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date_elem = await item.query_selector('time, .date')
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if date_elem:
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pr['date'] = await date_elem.inner_text()
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# Get link
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link_elem = await item.query_selector('a')
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if link_elem:
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href = await link_elem.get_attribute('href')
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if href.startswith('/'):
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href = f"https://www.globenewswire.com{href}"
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pr['url'] = href
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# Get summary
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summary_elem = await item.query_selector('p, .summary')
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if summary_elem:
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pr['summary'] = await summary_elem.inner_text()
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if pr.get('title'):
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press_releases.append(pr)
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except Exception as e:
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continue
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print(f"✅ Extracted {len(press_releases)} press releases")
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except Exception as e:
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print(f"❌ Error scraping GlobeNewswire: {e}")
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finally:
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await browser.close()
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return press_releases
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async def scrape_press_releases_newswire(self, company_name, ticker):
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"""Scrape Newswire.ca for press releases"""
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print(f"\n🔍 Searching Newswire.ca for {ticker}...")
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search_url = f"https://www.newswire.ca/search/?query={quote(ticker)}"
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press_releases = []
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async with async_playwright() as p:
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browser = await p.chromium.launch(headless=True)
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page = await browser.new_page()
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try:
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await page.goto(search_url, wait_until='networkidle', timeout=30000)
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await asyncio.sleep(2)
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# Find press release items
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pr_items = await page.query_selector_all('.release-card, .news-item, article')
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print(f" Found {len(pr_items)} press releases")
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for item in pr_items:
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try:
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pr = {
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'source': 'Newswire.ca'
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}
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# Get title
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title_elem = await item.query_selector('h3, h2, a.title')
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if title_elem:
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pr['title'] = await title_elem.inner_text()
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# Get date
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date_elem = await item.query_selector('time, .date, .timestamp')
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if date_elem:
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pr['date'] = await date_elem.inner_text()
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# Get link
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link_elem = await item.query_selector('a')
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if link_elem:
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href = await link_elem.get_attribute('href')
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if href.startswith('/'):
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href = f"https://www.newswire.ca{href}"
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pr['url'] = href
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# Get summary
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summary_elem = await item.query_selector('p, .summary, .description')
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if summary_elem:
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pr['summary'] = await summary_elem.inner_text()
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if pr.get('title'):
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press_releases.append(pr)
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except Exception as e:
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continue
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print(f"✅ Extracted {len(press_releases)} press releases")
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except Exception as e:
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print(f"❌ Error scraping Newswire.ca: {e}")
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finally:
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await browser.close()
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return press_releases
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async def scrape_stock_news_and_pr(self, ticker, company_name):
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"""Scrape both news and press releases for a stock"""
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print(f"\n{'='*60}")
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print(f"SCRAPING NEWS & PR FOR: {ticker} - {company_name}")
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print(f"{'='*60}")
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all_data = {
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'ticker': ticker,
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'company_name': company_name,
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'scraped_at': datetime.now().isoformat(),
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'news_articles': [],
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'press_releases': []
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}
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# Scrape Google News
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news = await self.scrape_google_news(company_name, ticker)
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all_data['news_articles'] = news
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# Small delay between requests
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await asyncio.sleep(3)
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# Scrape GlobeNewswire
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pr_gnw = await self.scrape_press_releases_globenewswire(company_name, ticker)
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all_data['press_releases'].extend(pr_gnw)
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# Small delay
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await asyncio.sleep(3)
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# Scrape Newswire.ca
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pr_nw = await self.scrape_press_releases_newswire(company_name, ticker)
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all_data['press_releases'].extend(pr_nw)
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# Save to file
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output_file = f"{self.output_dir}/{ticker}_news_pr.json"
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with open(output_file, 'w', encoding='utf-8') as f:
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json.dump(all_data, f, indent=2)
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print(f"\n📊 Summary for {ticker}:")
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print(f" News articles: {len(all_data['news_articles'])}")
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print(f" Press releases: {len(all_data['press_releases'])}")
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print(f" Saved to: {output_file}")
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return all_data
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async def scrape_multiple_stocks(self, stock_list, max_stocks=None):
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"""Scrape news and PR for multiple stocks"""
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print("=" * 60)
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print("NEWS & PRESS RELEASE SCRAPING")
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print("=" * 60)
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if max_stocks:
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stock_list = stock_list[:max_stocks]
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all_data = []
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for stock in stock_list:
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ticker = stock.get('symbol')
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company_name = stock.get('name')
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data = await self.scrape_stock_news_and_pr(ticker, company_name)
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all_data.append(data)
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# Rate limiting - be respectful
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await asyncio.sleep(5)
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print("\n" + "=" * 60)
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print(f"✅ Completed scraping for {len(all_data)} stocks")
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print(f"📁 Data saved to: {self.output_dir}/")
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print("=" * 60)
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return all_data
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async def main():
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"""Test the scraper"""
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# Load listings
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listings_file = "data/listings/all_listings_combined.json"
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if not os.path.exists(listings_file):
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print(f"❌ No listings file found at {listings_file}")
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print(" Run extract_listings.py first")
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return
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with open(listings_file, 'r', encoding='utf-8') as f:
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listings = json.load(f)
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print(f"📊 Found {len(listings)} stocks in listings")
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# Test with first 3 stocks
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scraper = NewsPressScraper()
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await scraper.scrape_multiple_stocks(listings, max_stocks=3)
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if __name__ == "__main__":
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asyncio.run(main())
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