Industry: E-Commerce / Retail
Built for brand strategists and public relations teams to analyze public figures and audience segments without manual profile auditing or data entry.
Problem
The manual synthesis of social media activity into actionable behavioral insights is slow, subjective, and difficult to scale.
- Identity Ambiguity: Manually finding the correct official profile among thousands of similar names is time-consuming and prone to error.
- Data Retrieval Barriers: Advanced bot protections on platforms like X (Twitter) prevent the large-scale extraction of post histories.
- Unstructured Chaos: Raw social media data is deeply nested and difficult to analyze for sentiment or recurring themes without technical processing.
Solution
The system automates the entire discovery and analysis lifecycle, transforming raw social signals into structured behavioral summaries.
- Automated Identity Resolution: Uses n8n and Bright Data Web Unlocker to convert names into validated profile URLs, bypassing scraping restrictions.
- AI-Driven Profile Validation: Employs Google Gemini to analyze search results and isolate the correct official handle while filtering out clones.
- Granular Metrics Extraction: Orchestrates Bright Data snapshot jobs to retrieve full post histories, including engagement metrics and metadata.
- ETL & Data Normalization: A Python layer that restructures nested JSON data into a clean, flat schema for rapid processing.
- Deep Behavioral Analysis: Integrated Gemini AI to identify sentiment, core interests, and communication styles from historical activity.
Tech Stack
- Automation: n8n.
- Scraping & Connectivity: Bright Data (Web Unlocker & Dataset API).
- AI Engine: Google Gemini.
- Infrastructure: Python and Google Sheets.
Results
- Instant Persona Generation: Reduced the time to create comprehensive audience or competitor profiles from days to minutes.
- Data-Driven Strategy: Enabled teams to base communication strategies on objective, AI-summarized behavioral data rather than intuition.
- Operational Scale: Provided the ability to analyze hundreds of profiles simultaneously without increasing research headcount.
- Strategic Traceability: Combined high-level AI summaries with granular post-level data for deep-dive verification.