Meta Ads Skill is designed to give LLMs and AI agents expert-level capabilities to orchestrate the Meta Ads MCP Server.
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Updated
Apr 21, 2026 - Python
Meta Ads Skill is designed to give LLMs and AI agents expert-level capabilities to orchestrate the Meta Ads MCP Server.
View Meta Ads directly on brand websites
Meta Ad Library scraper (Playwright, Selenium, Puppeteer, or the 2Captcha Scraping Browser API via CDP) — keyword and advertiser searches, ad details with EU/UK reach and targeting, political spend, read logged out, JSON/CSV
Open-source, self-hosted Meta Ad Library tracker: monitor competitors' Facebook & Instagram ads, archive creatives (images, videos) before they disappear, and find winning ads by how long they run. No Meta API key. Docker + Python.
📡 Competitive Meta (Facebook) Ad Library radar — detect competitors' new creatives & long-running winners, alert Slack/Discord. Experimental.
Facebook Ad Library Scraper — Meta ads spy tool. Scrape Facebook & Instagram ads by keyword or advertiser: creatives, media, spend & impressions. No login.
Facebook Ad Library MCP server and CLI for Claude Code, Codex and AI agents. 9 tools that read every ad running on Facebook, Instagram, Messenger, Threads and Audience Network, for any advertiser in any country, free and with no API key.
Agent Skill for competitor ad analysis without spend data: Winner Score over longevity, variants, geo spread, velocity and recency, lineage grouping so re-uploads do not fake short lifespans, and angle gap analysis against your own account.
MCP server adapter for the Facebook / Meta ads library: search ads and creatives, find advertisers behind them, pull media — from your AI assistant. Hosted by Spytrend, 170M+ new Meta ads a month.
Facebook Ad Library API example (Python, JS, n8n, MCP): export Facebook & Instagram ads from the Meta Ad Library to CSV/JSON. No login.
Claude Code skill: Meta Ad Library links → classified competitor swipe file → test matrix → validated kill list & winners. CC BY-NC-ND 4.0
Examples for scraping the Meta (Facebook/Instagram) Ad Library: track competitors' new ads to CSV, Google Sheets or Slack. Python, Node, n8n.
Competitor research skill for Claude Code — self-expanding analysis via Meta Ad Library, Google Play, App Store. Análise de concorrentes que se expande a cada achado, com pivôs e decisões.
n8n workflow: scrape the Meta Ad Library, analyze every ad with Gemini and GPT-4o, and log summaries plus rewritten copy to a Google Sheet
Telegram bot for spying on competitors' ads in Facebook/Instagram via Meta Ad Library
Answer 7 questions about a business, get a marketing audit with screenshot proof for every finding. English or 中文. Runs on your own PC.
Ads Libraries MCP server: connect Ads Libraries to Claude, ChatGPT, Cursor and Claude Code. Hosted remote MCP for competitor ad research across Meta, Google, LinkedIn, Microsoft and TikTok ad libraries.
Facebook Ad Library scraper and competitor ad monitor for exact Meta Pages. Collect active Facebook and Instagram ads without login or an API key. Export ad copy, links, media and platforms, with verified new, stopped, resumed and asset-change events across runs.
n8n community node for the Meta Ad Library Scraper Apify Actor by ScrapeUnblocker: Facebook and Instagram ads with copy, creative URLs, landing page, platforms and run dates as JSON
To associate your repository with the meta-ad-library topic, visit your repo's landing page and select "manage topics."