Analyze competitor Instagram engagement with Bright Data and GPT-5.5

Description

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.