Building a Real-Time Competitive Intelligence System with Claude and Perplexity APIs

One of the most valuable automations I've built for clients: a system that monitors competitors and surfaces actionable insights automatically. What It Does Every morning at 7 AM, the system: Checks competitor websites for changes (pricing, features, messaging) Monitors social media mentions and sentiment Scans news for industry developments Synthesizes everything into a 2-minute briefing Core Architecture import anthropic import requests from datetime import datetime client = anthropic . Anthropic () class CompetitiveIntel : def __init__ ( self , competitors : list [ str ], industry : str ): self . competitors = competitors self . industry = industry def gather_intelligence ( self ) -> dict : """ Gather fresh competitive data from multiple sources. """ intel = {} for competitor in self . competitors : # Real-time web research research = self . _research_competitor ( competitor ) # Analyze and structure analysis = self . _analyze ( competitor , research ) intel [ competitor ] = analysi