# Google Ad Transparency Scraper (`xtech/google-ad-transparency-scraper`) Actor Extract and analyze data from Google's Ads Transparency Center. Monitor advertising spending, targeting strategies, and campaign performance across all advertisers. Get detailed insights into ad creatives, impressions, and demographics. - **URL**: https://apify.com/xtech/google-ad-transparency-scraper.md - **Developed by:** [Xtech](https://apify.com/xtech) (community) - **Categories:** E-commerce, Lead generation, Developer tools - **Stats:** 600 total users, 8 monthly users, 100.0% runs succeeded, 26 bookmarks - **User rating**: 3.01 out of 5 stars ## Pricing $25.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Google Ad Transparency Scraper 🔍 [![4.9 Rating](https://img.shields.io/badge/Rating-4.9_★★★★★-green.svg)](https://apify.com) [![10K+ Runs](https://img.shields.io/badge/Runs-10K+-blue.svg)](https://apify.com) ### ✨ Why Choose Our Solution? - 🎥 **YouTube Ad Intelligence**: Exclusive access to video ad URLs, CTAs, and engagement metrics - 🔍 **Complete Coverage**: Every detail from targeting strategies to impression data - 🚀 **Real-time Updates**: Stay ahead with the latest advertising trends - 💪 **Enterprise Ready**: Built for high-performance with automatic error recovery - 📊 **Analysis Ready**: Clean, structured data ready for immediate insights - 🛠️ **Zero Maintenance**: Fully managed solution that adapts to platform changes ### 📦 What You Get ✅ Complete advertiser profiles ✅ Direct YouTube video links ✅ Call-to-action URLs ✅ Detailed targeting data ✅ Cross-platform metrics ✅ Geographic distribution ✅ Expert support ### 🔍 Finding Advertiser IDs To get started, you'll need the advertiser IDs you want to analyze. Here's how to find them: 1. Visit [Google's Ads Transparency Center](https://adstransparency.google.com/) 2. Search for an advertiser using the search bar 3. Click on the advertiser's name in the results 4. Look at the URL in your browser. It will look like: ``` https://adstransparency.google.com/advertiser/AR13129532367502835713 ``` 5. The advertiser ID is the `AR` number at the end of the URL (e.g., `AR13129532367502835713`) 💡 **Pro Tips**: - Advertiser IDs always start with "AR" followed by 20 digits - You can find IDs for any verified advertiser on Google's platform - Save frequently used advertiser IDs for quick access - Monitor competitors by collecting their IDs **Example Advertisers**: - CHECK24 GmbH: `AR13129532367502835713` - Google LLC: `AR07618064822415917057` ### 🚀 Getting Started Provide values in `searchInputs`. Accepted formats: - Advertiser IDs like `AR13129532367502835713` - Plain domains like `zainabchottani.com` - Google Ads Transparency URLs like `https://adstransparency.google.com/?region=anywhere&domain=zainabchottani.com` - Advertiser profile URLs like `https://adstransparency.google.com/advertiser/AR13129532367502835713` ```json { "searchInputs": ["zainabchottani.com"], "maxPages": 0 // Optional: limit pages (0 = unlimited) Each page contains 40 ads } ```` ### 📊 Rich Data Output Here's a real example showcasing our comprehensive data structure: ```json { "advertiserId": "AR13129532367502835713", "creativeId": "CR17788744295004504065", "advertiserName": "CHECK24 GmbH", "adType": "Video", // 🎯 Advanced Targeting Configuration "targeting": { "demographics": { "included": true, "excluded": false }, "locations": { "included": true, "excluded": true }, "contextSignals": { "included": true, "excluded": true }, "customerLists": { "included": true, "excluded": false }, "interests": { "included": true, "excluded": false } }, // 📊 Performance Statistics "stats": { "dateRange": { "startDate": "2023-03-01T00:00:00.000Z", "endDate": "2024-12-06T00:00:00.000Z" }, "impressions": { "total": { "min": "100,000", "max": "125,000" }, "byRegion": [ { "regionName": "Germany ", "impressions": { "min": "100,000", "max": "125,000" }, "byPlatform": [ { "platformName": "YouTube", "impressions": { "min": "100,000", "max": "125,000" } } ] } ] } }, // 🎥 Multiple YouTube Video Variations "variations": [ { "youtubeMetadata": { "adId": "DXgwjxGfuGg", "youtubeUrl": "https://www.youtube.com/watch?v=DXgwjxGfuGg", "ctaUrl": "https://handyvertrag.check24.de/handy-uebersicht?promotion=black-week&..." } }, { "youtubeMetadata": { "adId": "B_kyndl0ArQ", "youtubeUrl": "https://www.youtube.com/watch?v=B_kyndl0ArQ", "ctaUrl": "https://handyvertrag.check24.de/handy-uebersicht?promotion=black-week&..." } }, { "youtubeMetadata": { "adId": "oa9VBrDwf6k", "youtubeUrl": "https://www.youtube.com/watch?v=oa9VBrDwf6k", "ctaUrl": "https://handyvertrag.check24.de/handy-uebersicht?promotion=black-week&..." } } ] } ``` ### 💡 Key Features - 🎥 **YouTube Ad Intelligence**: Access video URLs, CTAs, and performance metrics - 🎯 **Targeting Analysis**: Understand audience, geography, and context settings - 📊 **Performance Data**: Track impressions, regional impact, and campaign metrics - 🚀 **Enterprise Ready**: Built for scale with professional support - 📈 **Instant Insights**: Clean, structured data ready for immediate analysis ### 🏆 Why We're Different #### 🔍 Unmatched Data Depth - Multiple video variations per ad - Complete targeting strategy insights - Full geographic coverage - Historical campaign data #### 🚀 Enterprise-Grade - Scales to millions of ads - Robust error handling - Professional support #### ⚡ Instant Value - Ready-to-use data format - No technical setup needed - Immediate insights # Actor input Schema ## `searchInputs` (type: `array`): List of Google Ads Transparency Center advertiser IDs (AR format) or search terms (e.g., advertiser URLs or names) to scrape ## `adPlatform` (type: `string`): Optionally filter ads by a specific Google platform where they appear ## `maxPages` (type: `integer`): Maximum number of pages to scrape per search input (0 for unlimited). Each page contains 40 ads. ## Actor input object example ```json { "searchInputs": [ "zainabchottani.com" ], "maxPages": 0 } ``` # Actor output Schema ## `results` (type: `string`): Items stored in the default dataset. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchInputs": [ "zainabchottani.com" ] }; // Run the Actor and wait for it to finish const run = await client.actor("xtech/google-ad-transparency-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchInputs": ["zainabchottani.com"] } # Run the Actor and wait for it to finish run = client.actor("xtech/google-ad-transparency-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchInputs": [ "zainabchottani.com" ] }' | apify call xtech/google-ad-transparency-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=xtech/google-ad-transparency-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Ad Transparency Scraper", "description": "Extract and analyze data from Google's Ads Transparency Center. Monitor advertising spending, targeting strategies, and campaign performance across all advertisers. Get detailed insights into ad creatives, impressions, and demographics.", "version": "0.1", "x-build-id": "DXgErm3ze7myAKs85" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/xtech~google-ad-transparency-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-xtech-google-ad-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/xtech~google-ad-transparency-scraper/runs": { "post": { "operationId": "runs-sync-xtech-google-ad-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/xtech~google-ad-transparency-scraper/run-sync": { "post": { "operationId": "run-sync-xtech-google-ad-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "searchInputs" ], "properties": { "searchInputs": { "title": "Search Inputs (advertiser url or advertiser id)", "minItems": 1, "type": "array", "description": "List of Google Ads Transparency Center advertiser IDs (AR format) or search terms (e.g., advertiser URLs or names) to scrape", "items": { "type": "string" } }, "adPlatform": { "title": "Ad Platform (leave blank for all)", "enum": [ "2", "1", "4", "3", "5" ], "type": "string", "description": "Optionally filter ads by a specific Google platform where they appear" }, "maxPages": { "title": "Maximum Pages (leave blank for unlimited)", "minimum": 0, "type": "integer", "description": "Maximum number of pages to scrape per search input (0 for unlimited). Each page contains 40 ads.", "default": 0 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```