# 🎯 Google Ads Transparency Scraper (`api-empire/google-ads-transparency-scraper`) Actor πŸ“’ Google Ads Transparency Scraper extracts verified ad transparency details from Google Adsβ€”useful for market research, competitor tracking & compliance. ⚑ Automate insights fast, reduce manual work, and optimize campaigns with data you can trust. - **URL**: https://apify.com/api-empire/google-ads-transparency-scraper.md - **Developed by:** [API Empire](https://apify.com/api-empire) (community) - **Categories:** Automation, Developer tools, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## 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 Ads Transparency Scraper Extract **ad creatives** from [Google's Ads Transparency Center](https://adstransparency.google.com) at scale β€” no login, no official API key. Search in **bulk** by keyword, website domain, advertiser ID, or a Transparency Center URL, and optionally narrow by **platform**, **region (170+ countries)**, and **date range**. For every ad it returns the advertiser, creative ID, format (text / image / video), the first & last dates it was shown, how many days it ran, a direct link to the ad, and (when available) the creative image. --- ### ✨ Why Choose This Actor? - πŸ” **Bulk input** β€” feed dozens of keywords / domains / advertiser IDs in one run. - 🧠 **Auto-detection** β€” paste anything; the scraper figures out whether it's a keyword, domain, advertiser ID, or URL. - πŸ›‘οΈ **Self-healing proxy ladder** β€” starts direct (cheapest), and only escalates to datacenter β†’ residential proxies if Google pushes back, then sticks with what works. - πŸ“¦ **Live results** β€” every ad is saved the moment it's found, so partial runs never lose data. - πŸ—‚οΈ **Tidy output** β€” four ready-made views: Overview, Advertisers, Creative Details, and Media. - ⚑ **Fast & lightweight** β€” pure reverse-engineered API calls, no headless browser. --- ### πŸš€ How to Use (Apify Console) 1. Log in at [console.apify.com](https://console.apify.com) β†’ **Actors**. 2. Open **Google Ads Transparency Scraper**. 3. Fill in the inputs: - **πŸ”Ž Search Queries** β€” e.g. `nike.com`, `Adidas`, `AR16735076323512287233`. - **πŸ”’ Max Results**, and optional **πŸ“Ί Platform**, **🌍 Region**, **πŸ“… Date** filters. 4. Click **Start** and watch the live log. 5. Open the **Output** tab β€” switch between the 4 views or export to **JSON / CSV / Excel**. --- ### πŸ“₯ Input | Field | Type | Description | |-------|------|-------------| | `searchQueries` | array | One or more keywords, domains, advertiser IDs, or Transparency URLs. | | `searchQuery` | string | Optional single-query convenience field. | | `maxResults` | integer | Max ad creatives to return in total. `0` = unlimited. | | `platform` | string | `google_search`, `youtube`, `google_shopping`, `google_maps`, `google_play`, or empty for all. | | `region` | string | ISO country code (e.g. `US`) or empty for worldwide. | | `dateFrom` / `dateTo` | string | `YYYY-MM-DD` date-window filter. | | `proxyConfiguration` | object | Optional proxy override (the ladder handles blocking automatically). | ```json { "searchQueries": ["nike.com", "Adidas"], "maxResults": 100, "platform": "youtube", "region": "US", "dateFrom": "2025-01-01" } ```` *** ### πŸ“€ Output ```json { "advertiserId": "AR18378488041124659201", "advertiserName": "Nike Retail BV", "creativeId": "CR03722677248998768641", "adFormat": "text", "firstShown": "2025-10-25", "lastShown": "2026-06-14", "approxDaysShown": 233, "adUrl": "https://adstransparency.google.com/advertiser/AR18378488041124659201/creative/CR03722677248998768641", "imageUrl": "https://tpc.googlesyndication.com/archive/simgad/14326405044626796371" } ``` | Field | Description | |-------|-------------| | `advertiserId` | Google advertiser ID (`AR…`). | | `advertiserName` | Verified advertiser name. | | `creativeId` | Unique creative ID (`CR…`). | | `adFormat` | `text`, `image`, or `video`. | | `firstShown` / `lastShown` | First and last dates the ad was seen. | | `approxDaysShown` | Approximate number of days the ad ran. | | `adUrl` | Direct link to the ad in the Transparency Center. | | `imageUrl` | Archived creative image (image ads only). | *** ### πŸ€– Use via API ```bash curl -X POST "https://api.apify.com/v2/acts//run-sync-get-dataset-items?token=$APIFY_TOKEN" \ -H "Content-Type: application/json" \ -d '{"searchQueries":["nike.com"],"maxResults":50}' ``` *** ### πŸ’‘ Best Use Cases - πŸ•΅οΈ **Competitor ad intelligence** β€” see exactly what rivals are advertising and for how long. - πŸ“ˆ **Creative trend research** β€” track formats, longevity, and rotation. - 🧾 **Ad transparency & compliance** β€” audit which advertisers run ads in a region. - 🌍 **Market analysis** β€” compare advertiser activity across countries and platforms. *** ### πŸ’³ Pricing This Actor uses the **Pay-Per-Result** model β€” you're billed per ad creative returned. Filters (platform / region / date) use Google's own filtering, so narrowing your search keeps both your result count and your cost low. *** ### ❓ FAQ **Do I need a Google account or API key?** No. The Transparency Center is public; this Actor reads it directly. **What can I search by?** A keyword (`Nike`), a domain (`nike.com`), an advertiser ID (`AR…`), or a full Transparency Center URL β€” mixed freely in the bulk list. **Why are some ads missing `imageUrl`?** Text and script-rendered ads don't expose a static archived image; only image creatives carry one. **Is a proxy required?** No. The Actor starts without one and only adds a proxy if Google rate-limits it. *** ### βš–οΈ Legal & Compliance Data is collected only from Google's **publicly available** Ads Transparency Center. You are responsible for complying with applicable laws (GDPR, CCPA, etc.) and Google's Terms of Service when using the data. ### πŸ›Ÿ Support & Feedback Found a bug or want a new field? Open an issue on the Actor's **Issues** tab. # Actor input Schema ## `searchQueries` (type: `array`): One or more things to look up β€” the scraper auto-detects each type. Accepts: β€’ πŸ”‘ a keyword (e.g. `Nike`) β€’ 🌐 a website domain (e.g. `nike.com`) β€’ πŸ†” an advertiser ID (e.g. `AR16735076323512287233`) β€’ πŸ”— a full Transparency Center URL Add as many as you like β€” they run one after another. ## `maxResults` (type: `integer`): Maximum number of ad creatives to return in total. Set to `0` for unlimited. ## `platform` (type: `string`): Only return ads shown on this Google surface. Leave on *All platforms* for everything. ## `region` (type: `string`): Only return ads shown in this country/region. Leave on *Worldwide* for no geo filter. 170+ countries supported. ## `dateFrom` (type: `string`): Only return ads shown on or after this date. Leave empty for no start limit. ## `dateTo` (type: `string`): Only return ads shown on or before this date. Leave empty for no end limit. ## `proxyConfiguration` (type: `object`): The scraper starts with a direct connection (no proxy) and only escalates to datacenter β†’ residential proxies if Google blocks it. You can override the proxy here if you prefer. ## Actor input object example ```json { "searchQueries": [ "nike.com" ], "maxResults": 10, "platform": "", "region": "", "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 = { "searchQueries": [ "nike.com" ], "maxResults": 10, "platform": "", "region": "", "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("api-empire/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(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "searchQueries": ["nike.com"], "maxResults": 10, "platform": "", "region": "", "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("api-empire/google-ads-transparency-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchQueries": [ "nike.com" ], "maxResults": 10, "platform": "", "region": "", "proxyConfiguration": { "useApifyProxy": true } }' | apify call api-empire/google-ads-transparency-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api-empire/google-ads-transparency-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🎯 Google Ads Transparency Scraper", "description": "πŸ“’ Google Ads Transparency Scraper extracts verified ad transparency details from Google Adsβ€”useful for market research, competitor tracking & compliance. ⚑ Automate insights fast, reduce manual work, and optimize campaigns with data you can trust.", "version": "0.1", "x-build-id": "uZKVAHcWRba327wda" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~google-ads-transparency-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-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/api-empire~google-ads-transparency-scraper/runs": { "post": { "operationId": "runs-sync-api-empire-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/api-empire~google-ads-transparency-scraper/run-sync": { "post": { "operationId": "run-sync-api-empire-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": { "searchQueries": { "title": "πŸ”Ž Search Queries (bulk)", "type": "array", "description": "One or more things to look up β€” the scraper auto-detects each type. Accepts:\nβ€’ πŸ”‘ a keyword (e.g. `Nike`)\nβ€’ 🌐 a website domain (e.g. `nike.com`)\nβ€’ πŸ†” an advertiser ID (e.g. `AR16735076323512287233`)\nβ€’ πŸ”— a full Transparency Center URL\nAdd as many as you like β€” they run one after another.", "items": { "type": "string" } }, "maxResults": { "title": "πŸ”’ Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of ad creatives to return in total. Set to `0` for unlimited.", "default": 10 }, "platform": { "title": "πŸ“Ί Platform", "enum": [ "", "google_search", "youtube", "google_shopping", "google_maps", "google_play" ], "type": "string", "description": "Only return ads shown on this Google surface. Leave on *All platforms* for everything.", "default": "" }, "region": { "title": "🌍 Region", "enum": [ "", "US", "CA", "MX", "BZ", "GT", "SV", "HN", "NI", "CR", "PA", "CU", "JM", "HT", "DO", "TT", "BB", "BS", "GD", "LC", "VC", "KN", "DM", "CO", "VE", "GY", "SR", "BR", "EC", "PE", "BO", "PY", "UY", "AR", "CL", "GB", "IE", "FR", "MC", "BE", "NL", "LU", "DE", "AT", "CH", "LI", "NO", "SE", "DK", "FI", "IS", "EE", "LV", "LT", "ES", "PT", "IT", "MT", "GR", "CY", "AL", "SI", "HR", "BA", "ME", "RS", "MK", "PL", "CZ", "SK", "HU", "RO", "BG", "MD", "UA", "BY", "RU", "GE", "AM", "AZ", "KZ", "UZ", "TM", "TJ", "KG", "TR", "IL", "LB", "JO", "IQ", "KW", "SA", "AE", "QA", "BH", "OM", "YE", "AF", "PK", "IN", "BD", "NP", "BT", "LK", "MV", "CN", "TW", "HK", "MO", "JP", "KR", "MN", "TH", "VN", "KH", "LA", "MM", "MY", "SG", "ID", "PH", "BN", "TL", "AU", "NZ", "PG", "FJ", "MA", "DZ", "TN", "LY", "EG", "SD", "MR", "ML", "NE", "SN", "GM", "CV", "GW", "GN", "SL", "LR", "CI", "GH", "BF", "TG", "BJ", "NG", "CM", "CF", "TD", "CD", "CG", "GA", "GQ", "ET", "ER", "DJ", "SO", "SS", "KE", "UG", "TZ", "RW", "BI", "AO", "ZM", "MW", "MZ", "ZW", "NA", "BW", "ZA", "LS", "SZ", "MG", "MU", "SC" ], "type": "string", "description": "Only return ads shown in this country/region. Leave on *Worldwide* for no geo filter. 170+ countries supported.", "default": "" }, "dateFrom": { "title": "πŸ“… Date From", "type": "string", "description": "Only return ads shown on or after this date. Leave empty for no start limit." }, "dateTo": { "title": "πŸ“… Date To", "type": "string", "description": "Only return ads shown on or before this date. Leave empty for no end limit." }, "proxyConfiguration": { "title": "πŸ›‘οΈ Proxy Configuration", "type": "object", "description": "The scraper starts with a direct connection (no proxy) and only escalates to datacenter β†’ residential proxies if Google blocks it. You can override the proxy here if you prefer.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```