AI Analysis Workflow for competitor Instagram engagement with Bright Data and GPT-5.5

Workflow overview

Why this workflow matters

Relevant for managed services and support workflows.

Analyze competitor Instagram engagement by scraping profiles with Bright Data and scoring them with GPT-5.5. This workflow reads competitor Instagram URLs from a Google Sheet, scrapes their profile data using the Bright Data Instagram Profiles dataset, validates the API response, then sends the data to GPT-5.5 for engagement scoring. Each competitor is scored on follower growth, engagement rate quality, content consistency, and audience authenticity (0-25 each, total 0-100). High-scoring competitors trigger email alerts. How it works: Schedule trigger runs the workflow daily. Reads competitor URLs from the 'competitor_accounts' sheet. Sends each URL to Bright Data's Instagram Profiles API. Validates the API response (handles async/error cases). GPT-5.5 analyzes profile metrics and scores engagement quality. Parses the structured JSON response. Filters by AI confidence (>= 0.7 threshold). Routes high scorers (engagement_score >= 75) to 'top_performers' with Gmail alert. Routes normal results to 'engagement_analysis'. Low confidence results go to 'low_confidence_engagement' for review. Setup: Create a Google Sheet with a 'competitor_accounts' tab containing columns: competitor_name, url, our_industry. Add output tabs: engagement_analysis, top_performers, low_confidence_engagement. Configure all credentials (Bright Data API, OpenAI, Google Sheets, Gmail). Requirements: Bright Data API account (~$0.01-0.03 per profile scrape). OpenAI API account (GPT-5.5 costs ~$0.003-0.008 per call). Google Sheets OAuth2 credentials. Gmail OAuth2 credentials. Notes: Add competitors one per row with their full Instagram profile URL. The engagement_score threshold of 75 can be adjusted in the IF node. Low confidence results may indicate incomplete profile data from Bright Data.

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