apify-ads-intelligence
Research, spy on, and analyze ads across Meta (Facebook & Instagram), Google (Ads Transparency Center + paid search results), TikTok (Ads Library + Creative Center), LinkedIn Ad Library, and X (Twitter — promoted tweets, best-effort) using Apify Actors. Use when user asks about competitor ads, ad library research, winning creatives, ad copy analysis, landing page audits from ads, cross-platform ad audits, brand transparency checks, or any task involving paid ad creatives, advertiser data, or ad targeting from public ad libraries.
Install
git clone https://github.com/apify/awesome-skills /tmp/awesome-skills && ln -s /tmp/awesome-skills/skills/apify-ads-intelligence ~/.claude/skills/apify-ads-intelligenceFrom README
Ads Intelligence Cluster Answer natural language questions about ads, ad libraries, and competitor advertising activity by routing to the right Apify Actor and delivering a synthesized answer. CLI rules: Always pass --user-agent apify-awesome-skills/apify-ads-intelligence, --json (or the relevant --format flag on datasets get-items), and 2>/dev/null. The --user-agent flag is critical for telemetry — never omit it. Note on platform coverage Meta, Google, TikTok, LinkedIn: real public ad libraries with rich data (creatives, targeting, dates, reach where disclosed). X (Twitter): no public ad library exists. Coverage is a best-effort workaround that scrapes a brand's tweets and flags items with non-empty card field or source containing "Ads" as likely promoted. Always include the caveat in synthesis output. Note on overlap with apify-ecommerce That skill has an ads-intelligence intent that routes to apify/facebook-ads-scraper for shallow Meta-ad lookups.
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