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 T