# Google Ads Transparency Scraper (`dami_studio/google-ads-transparency-scraper`) Actor Extract public Google Ads Transparency Center creatives by advertiser domain. Returns real advertiser IDs, creative IDs, formats, dates, previews, and landing domains through Google's public endpoint. - **URL**: https://apify.com/dami\_studio/google-ads-transparency-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $0.80 / 1,000 google ad creatives This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Ads Transparency Scraper Extract public Google Ads Transparency Center creatives by advertiser domain. The actor calls Google's public `SearchService/SearchCreatives` endpoint directly, returns only records received from Google, and does not require a Google account, API key, or customer credentials. ### What it returns Each successful dataset item contains the advertiser ID and name, creative ID, format, first and last shown dates, landing domain, preview image or preview content URL, and a reproducible public creative URL. A blocked, empty, or malformed response is written as a diagnostic row and is never charged. ### Input ```json { "domains": ["nike.com"], "maxAdsPerTarget": 100, "fallbackToProxy": false } ```` `startUrls` may also contain ordinary website URLs. Direct traffic is always tried first. Proxy fallback is opt-in because the live public endpoint worked directly during the candidate validation. Google advertiser URLs containing only an `AR...` identifier are not treated as a website domain. ### Candidate pricing Closest qualifying benchmark found July 26, 2026: Automation Lab at about `$0.001/ad`; SolidCode's listing is about `$0.0015/ad`. The proposed candidate event is **`ad-result: $0.0008` per successful creative**, with no start charge. This is 20% below the `$0.001` benchmark. After Apify's 20% platform fee, proceeds are `$0.00064/ad`; the direct HTTP path has no residential proxy cost and uses low-memory compute, so a positive margin is defensible for normal direct traffic. Proxy fallback should remain opt-in and should be re-benchmarked before any pricing change. This directory is a private candidate only. It has not been pushed, priced, or published. ### Validation The live smoke test queried `nike.com` directly and returned real Google records, including advertiser IDs, creative IDs, formats, date ranges, and preview URLs. The Google page also rendered Tesla's public advertiser page with `~3K ads` and 80 loaded creative cards in the browser during validation. ### Limitations Google does not publish a stable documented Ads Transparency API. This actor uses the public endpoint used by the public site, so endpoint/schema changes can require maintenance. It does not invent ad copy or spend data and does not bypass authentication or CAPTCHA. # Actor input Schema ## `domains` (type: `array`): Public advertiser domains to search, such as nike.com. Domains are normalized and deduplicated. ## `startUrls` (type: `array`): Website URLs whose host should be searched as an advertiser domain. Use domains for direct control; Google advertiser URLs containing only an AR ID are not used as domain inputs. ## `maxAdsPerTarget` (type: `integer`): Maximum real creative records returned for each domain. The actor stops at this bound and does not charge diagnostics. ## `fallbackToProxy` (type: `boolean`): After a direct request is blocked or rate limited, retry through the supplied Apify Proxy configuration. Direct traffic is always tried first. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy configuration used only when direct traffic fails and fallbackToProxy is enabled. ## Actor input object example ```json { "maxAdsPerTarget": 100, "fallbackToProxy": false } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/google-ads-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 = {} # Run the Actor and wait for it to finish run = client.actor("dami_studio/google-ads-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 '{}' | apify call dami_studio/google-ads-transparency-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/google-ads-transparency-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Ads Transparency Scraper", "description": "Extract public Google Ads Transparency Center creatives by advertiser domain. Returns real advertiser IDs, creative IDs, formats, dates, previews, and landing domains through Google's public endpoint.", "version": "0.1", "x-build-id": "IqayvHCUNeH0pvDni" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~google-ads-transparency-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-google-ads-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~google-ads-transparency-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-google-ads-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~google-ads-transparency-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-google-ads-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "domains": { "title": "Advertiser domains", "type": "array", "description": "Public advertiser domains to search, such as nike.com. Domains are normalized and deduplicated.", "items": { "type": "string" } }, "startUrls": { "title": "Website URLs", "type": "array", "description": "Website URLs whose host should be searched as an advertiser domain. Use domains for direct control; Google advertiser URLs containing only an AR ID are not used as domain inputs.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxAdsPerTarget": { "title": "Maximum ads per domain", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum real creative records returned for each domain. The actor stops at this bound and does not charge diagnostics.", "default": 100 }, "fallbackToProxy": { "title": "Fallback to Apify Proxy", "type": "boolean", "description": "After a direct request is blocked or rate limited, retry through the supplied Apify Proxy configuration. Direct traffic is always tried first.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy configuration used only when direct traffic fails and fallbackToProxy is enabled." } } }, "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 } } } } } } } } } } ```