Day 17Growth & DemandFacebook AdsScrapingMarketing

FB Ads Intel Agent — AI Agent for Facebook Ad Library analysis

Competitive advantage via Facebook Ad Library analysis.

Impact

Competitive advantage via Facebook Ad Library analysis.

Mechanism

FB Ad Library Scraper

DAY 17
Full README · Case Study

🚀 AI Facebook Ad Scraper & Analyzer – Automated Intelligence Workflow

Fully automated competitor ad intelligence using Facebook Ad Library → Categorized → Analyzed → Logged → Ready for execution.


📌 Overview

This workflow is a complete automated intelligence system for analyzing Facebook Ads at scale. Designed for agencies, growth teams, media buyers, and founders who want structured insights—not screenshots and guesswork.

This automation scrapes ads, classifies them using logic-based routing, analyzes creatives with LLMs, extracts descriptions, rewrites ad copy, and stores everything in a structured sheet for long-term intelligence tracking.

This includes: ✓ Creatives (Video/Image/Text) ✓ Summary of the ad ✓ Rewritten copy for repurposing ✓ AI-generated creative prompts ✓ Advertiser metadata

Data is scraped using Appify (Facebook Ad Library API Wrapper) and processed with n8n.


🧠 What This Workflow Actually Does

  1. Initiates a scraping pipeline
  2. Extracts ad metadata
  3. Categorizes ads dynamically:
    • Video ads
    • Image ads
    • Text‑only ads
  4. Uses Gemini to visually analyze videos
  5. Uses GPT‑4.5/GPT‑4o to summarize and rewrite ad copy
  6. Pushes structured intelligence into Google Sheets
  7. Stores video files automatically so that AI can analyze them accurately

🧩 Core Workflow Architecture

START TRIGGER ↓ Scrape Ads from Appify ↓ Filter based on advertiser popularity ↓ Switch Routing ↳ Video Branch ↪ Download Video ↪ Upload to Drive → Gemini Upload ↪ Gemini descriptive analysis ↪ GPT rewrite ↪ Store output in Google Sheets ↳ Image Branch ↪ AI Vision extraction ↪ GPT rewrite ↪ Store into Google Sheets ↳ Text Branch ↪ GPT rewrite only ↪ Store into Google Sheets ↓ End


🔍 Feature Breakdown

🔎 Scraping Layer

Using the Appify workflow scraper:

  • Pulls live ads from Facebook Ad Library
  • Includes advertiser page information
  • Extracts media URLs
  • Supports keyword‑based search queries

🎯 Filtering Logic (Early Noise Reduction)

Before processing ads, system eliminates low‑signal advertisers:

  • Ads from pages with “We know competitors are winning—but we don’t know exactly why.”

This workflow turns: ❌ guessing → into clarity ❌ screenshots → into structured intelligence ❌ expensive manual research → into automation


📌 Final Output

You end up with:

📁 Centralized database of ads 📄 Rich AI summaries ✍️ Ready‑to‑use rewritten scripts 📊 Historical tracking per run 🎬 Complete decoded video messaging

All — without touching spreadsheets manually.


🛠 Build. Automate. Spy Better. Win Faster.

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