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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Use SerpAPI for robust news and press release scraping
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Fallback option when direct scraping fails
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"""
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import requests
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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 typing import Dict, List, Any
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import time
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from config import SERPAPI_KEY
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class SerpAPINewsScraper:
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def __init__(self, output_dir="data/serpapi_news"):
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self.api_key = SERPAPI_KEY
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self.output_dir = output_dir
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os.makedirs(output_dir, exist_ok=True)
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self.base_url = "https://serpapi.com/search.json"
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def search_google_news(self, query: str, days_back: int = 365) -> List[Dict]:
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"""Search Google News using SerpAPI"""
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print(f" Searching Google News via SerpAPI: {query}...")
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params = {
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'api_key': self.api_key,
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'engine': 'google_news',
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'q': query,
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'gl': 'us', # Country
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'hl': 'en', # Language
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'tbs': f'qdr:y' # Last year
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}
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try:
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response = requests.get(self.base_url, params=params)
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response.raise_for_status()
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data = response.json()
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news_results = data.get('news_results', [])
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articles = []
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for result in news_results:
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articles.append({
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'title': result.get('title'),
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'link': result.get('link'),
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'source': result.get('source', {}).get('name'),
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'date': result.get('date'),
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'snippet': result.get('snippet'),
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'thumbnail': result.get('thumbnail'),
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'scraped_via': 'SerpAPI',
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'scraped_at': datetime.now().isoformat()
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})
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print(f" Found {len(articles)} articles")
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return articles
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except Exception as e:
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print(f" Error searching Google News: {e}")
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return []
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def search_google_with_site_filter(self, query: str, sites: List[str]) -> List[Dict]:
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"""Search specific sites for press releases"""
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print(f" Searching press release sites via SerpAPI...")
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# Build site filter query
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site_filter = " OR ".join([f"site:{site}" for site in sites])
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full_query = f"{query} ({site_filter})"
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params = {
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'api_key': self.api_key,
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'engine': 'google',
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'q': full_query,
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'tbs': 'qdr:y', # Last year
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'num': 50 # Number of results
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}
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try:
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response = requests.get(self.base_url, params=params)
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response.raise_for_status()
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data = response.json()
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organic_results = data.get('organic_results', [])
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press_releases = []
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for result in organic_results:
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press_releases.append({
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'title': result.get('title'),
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'link': result.get('link'),
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'snippet': result.get('snippet'),
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'displayed_link': result.get('displayed_link'),
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'date': result.get('date'),
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'scraped_via': 'SerpAPI',
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'scraped_at': datetime.now().isoformat()
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})
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print(f" Found {len(press_releases)} press releases")
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return press_releases
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except Exception as e:
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print(f" Error searching press releases: {e}")
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return []
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def get_company_news_and_pr(self, ticker: str, company_name: str) -> Dict[str, Any]:
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"""Get comprehensive news and PR for a company"""
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print(f"\n🔍 Fetching news & PR via SerpAPI for {ticker} - {company_name}")
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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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# Search Google News
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news_query = f'"{company_name}" OR "{ticker}" stock earnings financial'
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news_articles = self.search_google_news(news_query)
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data['news_articles'] = news_articles
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time.sleep(2) # Rate limiting
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# Search press release sites
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pr_query = f'"{company_name}" OR "{ticker}"'
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pr_sites = [
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'globenewswire.com',
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'prnewswire.com',
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'newswire.ca',
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'businesswire.com',
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'stockhouse.com'
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]
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press_releases = self.search_google_with_site_filter(pr_query, pr_sites)
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data['press_releases'] = press_releases
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# Save to file
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output_file = f"{self.output_dir}/{ticker}_serpapi.json"
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with open(output_file, 'w', encoding='utf-8') as f:
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json.dump(data, f, indent=2)
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print(f"✅ Saved SerpAPI data: {len(news_articles)} news, {len(press_releases)} PR")
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return data
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def scrape_multiple_stocks(self, stock_list: List[Dict], max_stocks: int = None):
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"""Scrape news and PR for multiple stocks"""
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print("=" * 70)
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print("SERPAPI NEWS & PRESS RELEASE SCRAPER")
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print("=" * 70)
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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 = self.get_company_news_and_pr(ticker, company_name)
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all_data.append(data)
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time.sleep(3) # Rate limiting for API
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print(f"\n✅ Completed scraping {len(all_data)} stocks via SerpAPI")
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return all_data
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def check_api_credits(self):
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"""Check remaining SerpAPI credits"""
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params = {
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'api_key': self.api_key,
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'engine': 'google',
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'q': 'test'
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}
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try:
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response = requests.get(self.base_url, params=params)
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response.raise_for_status()
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data = response.json()
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search_metadata = data.get('search_metadata', {})
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print("\nSerpAPI Status:")
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print(f" Status: {search_metadata.get('status')}")
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print(f" Total time: {search_metadata.get('total_time')}s")
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# Note: Credit info might not be directly available in response
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# Check SerpAPI dashboard for actual credit count
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return True
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except Exception as e:
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print(f"Error checking API status: {e}")
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return False
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def main():
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"""Test SerpAPI scraper"""
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scraper = SerpAPINewsScraper()
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# Check API status
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scraper.check_api_credits()
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# Test with a sample stock
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test_stocks = [
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{'symbol': 'AAPL', 'name': 'Apple Inc.'},
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]
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scraper.scrape_multiple_stocks(test_stocks, max_stocks=1)
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if __name__ == "__main__":
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main()
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