Google Ads Transparency Center, LinkedIn & Meta Ad Spy

Spy on advertiser domains across LinkedIn Ad Library, Meta Ad Library, and Google Ads Transparency Center. Extracts active ad pixels (LinkedIn Insight, Meta Pixel, Google Ads AW/GTM, TikTok), landing page CTAs, and direct Ad Library search links.

Built for growth engineers, RevOps teams, SEO/B2B agencies, quantitative researchers, and AI agent pipelines (n8n, Make.com, Clay, Zapier, LangChain, CrewAI, and Claude / Cursor MCP) that require deterministic, structured JSON output with zero monthly subscription lock-in.

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Why Use LinkedIn Ad Library, Meta Ad Library & Google Ads Spy (invaluable_rondeau/google-ads-transparency-center)?

• Zero Monthly SaaS Seat Lock-In: Replace $99–$299/month legacy subscriptions with transparent, fractional Pay-Per-Event pricing ($0.015 Actor start + $0.015 per advertiser-audited event).
• High-Throughput Batch Processing: Process 8+ targets out of the box or scale to 1,000+ targets via Apify API, webhooks, or scheduled cron jobs.
• AI & RAG Ready Output: Every dataset item returns clean, normalized, deterministic JSON fields ready for direct ingestion into Vector Databases, LLM RAG pipelines, Google Sheets, HubSpot, Salesforce, Clay, or n8n.
• Built-in Retry & Fault Tolerance: Gracefully handles rate limits, redirects, and malformed upstream responses without crashing your batch pipeline.

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Key Features & Extracted Data Points

1. Automated Multi-Target Extraction: Pass an array of targets (URLs, domains, queries, or IDs) and extract structured intelligence in a single serverless run.
2. Enriched Metadata & Scoring: Automatically normalizes timestamps, status flags, authority/sentiment signals, and actionable B2B/research indicators.
3. Zero-Config Default Prefill: Click Start in Apify Console to immediately test a verified multi-item batch with zero setup required.
4. Native Automation & Webhook Support: Trigger via POST https://api.apify.com/v2/acts/invaluable_rondeau~google-ads-transparency-center/run-sync-get-dataset-items and receive an instant JSON array response.

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Transparent Pay-Per-Event (PPE) Pricing

Billing Event	Event Key	Price (USD)	Description
Actor Start	apify-actor-start	$0.015	Base initialization per Actor run
Primary Extraction / Deep Enrichment Event	advertiser-audited	$0.015	Charged per processed target / deep intelligence event

Cost Example: A standard default batch of 8 targets with primary + deep intelligence enrichment costs approximately $0.255 total — covered automatically by your Apify free monthly usage credits.

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Example Input (input_schema.json)

{
  "domains": [
    "hubspot.com",
    "monday.com",
    "clickup.com",
    "notion.so",
    "canva.com",
    "shopify.com",
    "stripe.com",
    "airtable.com"
  ],
  "region": "US"
}

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Example Output Dataset Item

{
  "actor": "invaluable_rondeau/google-ads-transparency-center",
  "title": "LinkedIn Ad Library, Meta Ad Library & Google Ads Spy",
  "status": "SUCCEEDED",
  "extractedAt": "2026-10-24T12:00:00.000Z",
  "dataQualityScore": 98,
  "categories": ["LEAD_GENERATION", "MARKETING", "AUTOMATION"],
  "structuredIntelligence": {
    "verified": true,
    "enrichmentTier": "DEEP_INTELLIGENCE",
    "readyForRagAndCrm": true
  },
  "_proofnexaNextSteps": {
    "apifyStoreHub": "https://apify.com/invaluable_rondeau",
    "webStudio": "https://quant-b2b-risk-gate-api.vercel.app",
    "remoteMcpEndpoint": "https://quant-b2b-risk-gate-api.vercel.app/mcp"
  }
}

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Quick Integration: n8n, Make.com, Clay, cURL & Python

1. Direct Synchronous REST API Call (Returns JSON Dataset Directly)

curl -X POST "https://api.apify.com/v2/acts/invaluable_rondeau~google-ads-transparency-center/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{   "domains": [     "hubspot.com",     "monday.com",     "clickup.com",     "notion.so",     "canva.com",     "shopify.com",     "stripe.com",     "airtable.com"   ],   "region": "US" }'

2. Python (apify-client)

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("invaluable_rondeau/google-ads-transparency-center").call(run_input={
  "domains": [
    "hubspot.com",
    "monday.com",
    "clickup.com",
    "notion.so",
    "canva.com",
    "shopify.com",
    "stripe.com",
    "airtable.com"
  ],
  "region": "US"
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

3. Claude Code / Cursor / Windsurf MCP Integration

Connect our remote HTTP MCP Server or Apify MCP Server to invoke google-ads-transparency-center directly from your AI coding assistant:

$claude mcp add --transport http proofnexa https://quant-b2b-risk-gate-api.vercel.app/mcp

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