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π‘ Pro Tip β For competitive intelligence, ScraperNode can automate the data collection β Yelp reviews, Glassdoor company data, and Crunchbase profiles all return structured JSON you can feed straight into this workflow.
Description
How It Works
This workflow automates competitive intelligence gathering and market analysis for businesses needing real-time insights on competitors, industry trends, and market positioning. Designed for marketing teams, strategy analysts, and business development professionals, it solves the time-intensive challenge of manually monitoring competitor activities across multiple channels. The system schedules regular data collection, fetches competitor information from various sources, employs multiple AI agents (OpenAI for analysis, sentiment evaluation, and report generation) to process data, validates outputs through structured parsing, and delivers comprehensive reports via email. By automating data aggregation, sentiment analysis, and insight generation, organizations gain actionable intelligence faster, identify market opportunities proactively, and maintain competitive advantage through continuous monitoringβessential for dynamic markets where timing determines success.
Setup Steps
- Connect Schedule Trigger (set monitoring frequency: daily/weekly)
- Configure Fetch Data node with competitor website URLs/APIs
- Add OpenAI API keys to all AI agent nodes
- Link Google Sheets credentials for storing historical analysis data
- Configure Gmail node with SMTP credentials for report distribution
- Set up Slack/Discord webhooks for instant critical alert notifications
Prerequisites
OpenAI API account (GPT-4 recommended), competitor data sources/APIs
Use Cases
SaaS competitor feature tracking, retail pricing intelligence
Customization
Modify AI prompts for industry-specific metrics, adjust sentiment thresholds for alert triggers
Benefits
Reduces research time by 85%, provides 24/7 competitor monitoring, eliminates manual data aggregation
π Nodes Used
Send Email, Slack, Schedule Trigger, AI Agent, OpenAI Chat Model, Structured Output Parser
π₯ Import
Download workflow.json and import into n8n:
Workflow menu β Import from File