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// Skill profile

Ad Intelligence Skill

name: ad-intelligence

by abhishekj9621 · published 2026-04-01

图像生成数据处理
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Last updated
2026-04
// Install command
$ claw add gh:abhishekj9621/abhishekj9621-ad-intelligence-skill
View on GitHub
// Full documentation

---

name: ad-intelligence

description: >

Competitive ad intelligence skill for fetching, analyzing, and reporting on competitor ads

across Meta (Facebook/Instagram), Google Ads Transparency Center, and LinkedIn Ad Library.

Use this skill whenever a user asks about competitor ads, what ads a brand is running,

ad creative analysis, ad copy research, campaign monitoring, ad library lookups, or

marketing intelligence on any of these platforms. Also trigger for phrases like "what ads

is [company] running", "spy on competitor ads", "find ads from [brand]", "check ad library",

"pull ad data", "analyze competitor campaigns", or any request involving scraping or fetching

public ad data from Meta, Google, or LinkedIn. This is a two-phase skill — Phase 1 uses web

scraping (no API keys needed), Phase 2 unlocks deeper data via official and third-party APIs.

---

# Ad Intelligence Skill

A two-phase competitive ad intelligence skill for marketing companies and ecommerce owners

to research how competitors run ads across Meta, Google, and LinkedIn.

---

Quick Reference: What Data Is Available

| Field | Meta (FB/IG) | Google Transparency | LinkedIn |

|---|---|---|---|

| Ad copy / headline | ✅ Both phases | ✅ Both phases | ✅ Both phases |

| Creative (image/video URL) | ✅ Both phases | ✅ Both phases | ✅ Both phases |

| Ad format type | ✅ Both phases | ✅ Both phases | ✅ Both phases |

| Date first/last shown | ✅ Both phases | ✅ Both phases | ✅ Both phases |

| Platform / placements | ✅ Both phases | ✅ (Google Search, YT, Display, etc.) | ✅ Both phases |

| Active / inactive status | ✅ Both phases | ✅ Both phases | ✅ Both phases |

| CTA button | ✅ Phase 1 scrape | ❌ | ✅ Both phases |

| Destination / landing URL | ✅ Both phases | ✅ Both phases | ✅ Both phases |

| Total ads running | ✅ Phase 2 | ✅ Phase 2 | ✅ Phase 2 |

| Impression range | ✅ Phase 2 (EU/political only) | ❌ | ✅ Phase 2 (some scrapers) |

| Spend range | ✅ Phase 2 (EU/political only) | ❌ | ❌ |

| Demographic breakdown | ✅ Phase 2 (EU only) | ❌ | ❌ |

| Targeting info | ❌ | ❌ | ✅ Phase 2 (partial — language, location) |

| Advertiser ID | ✅ Phase 2 | ✅ Phase 2 | ✅ Phase 2 |

> ⚠️ No platform exposes: exact spend, CTR, conversion rates, ROAS, or detailed audience targeting.

---

Workflow

Step 1: Understand the Request

Gather from the user (ask if not provided):

  • **Competitor name or domain** (e.g., "Nike" or "nike.com")
  • **Target platform(s)**: Meta / Google / LinkedIn (default: all three)
  • **Phase**: Phase 1 (quick, no API keys) or Phase 2 (deeper, requires API keys)
  • **Country/region** filter (optional, e.g., "US", "IN", "EU")
  • **Date range** (optional, e.g., "last 30 days")
  • **Ad format filter** (optional: image / video / carousel / text)
  • If the user hasn't said which phase they want, ask. If they're just exploring, start with Phase 1.

    ---

    Step 2: Execute the Right Phase

    Read the platform reference files for code, endpoints, and examples:

  • **Meta**: `references/meta.md`
  • **Google**: `references/google.md`
  • **LinkedIn**: `references/linkedin.md`
  • Each reference contains:

  • Phase 1: Python scraping code (no API key needed)
  • Phase 2a: Official/free API instructions
  • Phase 2b: Third-party paid API options (SerpAPI, SearchAPI, Adyntel, Apify)
  • Sample output JSON
  • Known limitations
  • ---

    Step 3: Format the Output

    Always deliver **both**:

    #### A. Human-Readable Summary Report

    ## Ad Intelligence Report: [Company Name]
    **Platforms Searched:** Meta, Google, LinkedIn
    **Date:** [today]
    **Phase:** 1 (Scrape) / 2 (API)
    **Country:** [region]
    
    ### 📊 Overview
    - Total ads found: X
    - Active ads: X | Inactive: X
    - Formats: X% image, X% video, X% carousel
    
    ### 🎯 Platform Breakdown
    [Per platform: count, date range, notable trends]
    
    ### ✍️ Creative Themes & Messaging Patterns
    [Summarize recurring hooks, CTAs, offers, tone]
    
    ### 📅 Recency & Cadence
    [How often they post new ads, seasonal patterns]
    
    ### ⚠️ Data Limitations
    [Note what wasn't available and why]

    #### B. Raw Structured Data (JSON)

    Return normalized JSON with this schema for each ad:

    {
      "platform": "meta|google|linkedin",
      "ad_id": "string",
      "advertiser_name": "string",
      "advertiser_page_url": "string",
      "status": "active|inactive",
      "format": "image|video|carousel|text|document",
      "headline": "string|null",
      "body_text": "string|null",
      "cta_text": "string|null",
      "destination_url": "string|null",
      "creative_url": "string|null",
      "platforms_served": ["facebook", "instagram", "messenger"],
      "date_first_shown": "YYYY-MM-DD|null",
      "date_last_shown": "YYYY-MM-DD|null",
      "country": "string|null",
      "spend_range": "string|null",
      "impression_range": "string|null",
      "targeting_summary": "string|null",
      "source_phase": 1
    }

    ---

    Step 4: Provide Next Steps

    After presenting results, always suggest:

  • Which Phase 2 option would give more depth for this use case
  • What API keys/accounts are needed to upgrade
  • Whether the data is sufficient or the user should broaden/narrow their search
  • ---

    Important Limitations to Always Communicate

    1. **No private performance data**: CTR, conversions, ROAS, exact spend — these are never public.

    2. **Meta API geographic restriction**: The official Meta Ad Library API only returns impression/spend data for EU-delivered ads and political/social cause ads globally. For general ecommerce ads in non-EU regions, Phase 1 scraping often gives broader coverage.

    3. **Google has no official public API**: All Google Transparency Center data is accessed via scraping (Phase 1) or third-party wrappers like SerpAPI/SearchAPI (Phase 2).

    4. **LinkedIn targeting data is partial**: Only language and location hints are sometimes visible — not job title, seniority, or company size targeting.

    5. **Rate limits apply**: All platforms rate-limit requests. Use pagination and add delays (1–2s between calls).

    ---

    Phase Decision Guide

    | Situation | Recommended Phase |

    |---|---|

    | Quick competitive overview | Phase 1 |

    | No API keys available | Phase 1 |

    | Need date-range filtering | Phase 2 |

    | EU market + want spend/impressions | Phase 2 (official Meta API) |

    | Need 500+ ads at scale | Phase 2 (paid third-party API) |

    | B2B competitor research on LinkedIn | Phase 2 |

    | Need creative image/video downloads | Phase 2 |

    ---

    Reference Files

  • `references/meta.md` — Meta (Facebook/Instagram) scraping + API code
  • `references/google.md` — Google Ads Transparency scraping + SerpAPI/SearchAPI
  • `references/linkedin.md` — LinkedIn Ad Library scraping + third-party APIs
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