Building a Competitive Intelligence Dashboard with Web Scraping

Building a Competitive Intelligence Dashboard with Web Scraping Understanding competitors' pricing changes, hiring patterns, and marketing strategies gives you a strategic advantage. Here's how to build a Python-powered competitive intelligence system. Core Engine import requests from bs4 import BeautifulSoup import sqlite3, json, hashlib from datetime import datetime import time, re class CompetitiveIntel: def __init__(self, db_path='intel.db', api_key=None): self.db = sqlite3.connect(db_path) self.api_key = api_key self.session = requests.Session() self.session.headers.update({ 'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'}) self._init_db() def _init_db(self): self.db.executescript(''' CREATE TABLE IF NOT EXISTS competitors ( id TEXT PRIMARY KEY, name TEXT, domain TEXT, category TEXT); CREATE TABLE IF NOT EXISTS intel ( id INTEGER PRIMARY KEY AUTOINCREMENT, competitor_id TEXT, dimension TEXT, title TEXT, content TEXT, url TEXT, content_hash TEXT, detect