meta-ads-research

Extract and analyze active Meta ads into structured JSON and HTML reports.

17|5|Updated Jun 25, 2026

Search Tags:#competitive intelligence #marketing automation #video analysis #ad library #meta ads #creative analysis

Ready to run

npx skills add https://github.com/portermetricsample/marketing-skills --skill meta-ads-research

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: meta-ads-research
Source: https://github.com/portermetricsample/marketing-skills/tree/main/meta-ads/research/meta-ads-research
Command: npx skills add https://github.com/portermetricsample/marketing-skills --skill meta-ads-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires apify-client, deepgram-sdk, anthropic, paddleocr, ffmpeg, and includes scripts (resource) components.

What problem does it solve?

This skill solves the lack of visibility into competitor creative strategies on Meta by automating the extraction, deduplication, and analysis of active ads from the Meta Ad Library.

Core Features & Use Cases

Creative Extraction: Scrapes active video and image ads for any brand using the Meta Ad Library.
Visual & Audio Analysis: Uses AI vision and transcription to analyze hooks, scripts, and visual frames.
Visual Reporting: Generates a self-contained, professional HTML report with deep-dive breakdowns of creative performance and strategy.

Quick Start

Activate the meta-ads-research skill to scrape and analyze all active ads for the brand Nike.

Frequently Asked Questions about meta-ads-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I extract and analyze competitor ads from the Meta Ad Library?▼

To analyze competitor ads from the Meta Ad Library, you need an automated extraction tool that scrapes active video and image assets, processes them with transcription and OCR, and generates structured creative intelligence reports.

How does automated creative analysis work for Meta video ads?▼

Automated creative analysis for Meta video ads works by using AI vision and audio transcription to evaluate visual frames, hooks, and scripts, then synthesizing the data into structured JSON and visual HTML performance reports.

Do I need Apify and Deepgram APIs to scrape Meta Ads for competitive intelligence?▼

Yes, extracting and analyzing Meta Ads for competitive intelligence requires integrating with Apify for scraping, Deepgram for audio transcription, and Anthropic for visual analysis to successfully audit ad creatives.

Can I use OCR to analyze text in image ads from the Meta Ad Library?▼

Yes, you can use OCR to analyze text in image ads from the Meta Ad Library by processing the extracted visual assets through automated optical character recognition to capture embedded marketing copy.

What is the best way to audit competitor creative strategies on Meta?▼

The best way to audit competitor creative strategies on Meta is to automate the extraction of active ads, deduplicate the assets, and process video and image frames through AI-driven visual and audio analysis.

Are there limitations to scraping active video and image ads from the Meta Ad Library?▼

Limitations of scraping Meta Ad Library ads include dependency on external APIs like Apify and Deepgram for processing video assets, and the need for automated deduplication to manage large volumes of extracted creative data.