# Google Ads Transparency Scraper (`scrapesmith/google-ads-transparency-scraper`) Actor Scrape Google Ads Transparency Center at 1,000+ ads/min. Get creatives, headlines, targeting, impression stats, regional breakdowns by platform. Search by advertiser URL or keyword. Pay per result from $0.40/1k. - **URL**: https://apify.com/scrapesmith/google-ads-transparency-scraper.md - **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community) - **Categories:** Developer tools, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.40 / 1,000 results 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 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 ads from the [Google Ads Transparency Center](https://adstransparency.google.com/) at scale. Get ad creatives, targeting demographics, impression estimates, regional breakdowns, platform stats, and full advertiser details for any advertiser. ### What data can you get? For each ad creative, the scraper returns: - **Ad identity** — advertiser ID, creative ID, advertiser name, ad format (Text/Image/Video), direct link to the ad - **Creative variants** — all ad variations with headlines, body text, images, and click-through URLs - **Timing** — first shown date, last shown date, days served - **Targeting** — gender, age, parental status, household income (with include/exclude flags) - **Impressions** — per-region impression ranges (lower/upper bounds) - **Platform breakdown** — Google Search, YouTube, Display Network, Shopping, Maps, Gmail - **Regional stats** — per-country data with date ranges and platform splits - **Advertiser info** — legal entity name, registration region, verification status ### How to use #### Search by advertiser URL Paste any Google Ads Transparency Center URL: ```` https://adstransparency.google.com/advertiser/AR16735076323512287233 ```` #### Search by keyword Enter an advertiser name or keyword like `Nike`, `Amazon`, or `Meta Platforms`. The scraper finds the top matching advertiser and extracts their ads. #### Filters - **Region** — Filter ads shown in a specific country (e.g., 2840 for US, 2826 for UK, 2276 for Germany) - **Ad Format** — Filter by TEXT, IMAGE, or VIDEO ads only - **Max Results** — Control how many ads to scrape (default: 100) - **Skip Details** — Get just the ad list without targeting/impressions for maximum speed ### Input example ```json { "urls": [ { "url": "https://adstransparency.google.com/advertiser/AR16735076323512287233" } ], "maxResults": 1000, "skipDetails": false } ```` Or search by keyword: ```json { "searchQueries": ["Nike", "Coca-Cola"], "maxResults": 500, "region": 2840, "adFormat": "VIDEO" } ``` ### Output example ```json { "advertiser_id": "AR16735076323512287233", "creative_id": "CR17154734691786424321", "advertiser_name": "Nike, Inc.", "format": "TEXT", "preview_url": "https://tpc.googlesyndication.com/archive/simgad/6452698416705977197", "first_shown": "2022-06-29T02:38:55Z", "last_shown": "2026-06-20T11:11:42Z", "ad_url": "https://adstransparency.google.com/advertiser/AR16735076323512287233/creative/CR17154734691786424321", "days_served": 1452, "variant_count": 2, "variations": [ { "headline": "Just Do It", "body": "Shop the latest Nike gear", "clickUrl": "https://www.nike.com" } ], "targeting": { "gender": { "included": true, "excluded": false }, "age": { "included": true, "excluded": true } }, "region_stats": [ { "region_code": "US", "region_id": 2840, "impressions_lower": 100000, "impressions_upper": 125000, "first_shown": "2024-01-15", "last_shown": "2026-06-20", "platforms": [ { "platform": "YouTube", "impressions_lower": 7000, "impressions_upper": 8000 }, { "platform": "Google Display Network", "impressions_lower": 1000 } ] } ], "aggregate_stats": { "impressions_lower": 150000, "impressions_upper": 200000, "first_shown": "2022-06-29", "last_shown": "2026-06-20" }, "advertiser_region": "US", "legal_name": "Nike, Inc." } ``` ### Performance Typical speeds with full details enabled: | Volume | Estimated time | |--------|---------------| | 1,000 ads | ~1 min | | 5,000 ads | ~3-5 min | | 10,000 ads | ~6-10 min | Skip Details mode is significantly faster — thousands of ads per minute when you only need the ad list. ### How much does it cost? Pay-per-result pricing. Free users get **25 results** per run to try it out. | Scraper | Price per 1,000 results | |---------|------------------------| | silva95gustavo | $0.90/1k | | lexis-solutions | $0.99/1k | | solidcode | $0.80/1k | | **This scraper** | **$0.40/1k** | ### Use cases - **Competitive intelligence** — See what ads your competitors are running across Google Search, YouTube, and Display - **Ad research** — Analyze ad creative trends, formats, and targeting strategies at scale - **Brand monitoring** — Track when and where a brand's ads appear across regions and platforms - **Market analysis** — Compare ad strategies across multiple advertisers in your industry - **Compliance & transparency** — Monitor political advertising and ad disclosures ### Tips for best results - Use **Skip Details** mode for maximum speed when you only need the ad list - Set a **Region filter** to focus on ads shown in a specific country - Use **keyword search** to quickly find any advertiser without needing their URL - The scraper handles pagination and resumption automatically — set `maxResults` to control volume ### Integrations Connect this scraper to any workflow: - **Google Sheets** — Export results directly - **Webhooks** — Get notified when runs complete - **API** — Trigger runs programmatically from any language - **Zapier / Make** — Automate competitive monitoring pipelines # Actor input Schema ## `urls` (type: `array`): Google Ads Transparency Center advertiser URLs (e.g. https://adstransparency.google.com/advertiser/AR...) ## `searchQueries` (type: `array`): Search for advertisers by name, keyword, or domain (e.g. 'Nike', 'Amazon', 'nike.com'). Returns ads from the top matching advertiser. ## `maxResults` (type: `integer`): Maximum number of ads to scrape per run. ## `skipDetails` (type: `boolean`): Skip fetching detailed info (targeting, impressions, regional stats) for each ad. Much faster but fewer fields. ## `region` (type: `integer`): Filter ads by region (Google Geo Target ID). Examples: 2840=US, 2826=GB, 2276=DE, 2250=FR, 2380=IT, 2724=ES, 2036=AU, 2124=CA, 2356=IN, 2392=JP, 2076=BR. ## `adFormat` (type: `string`): Filter by ad format. ## Actor input object example ```json { "urls": [ { "url": "https://adstransparency.google.com/advertiser/AR16735076323512287233" } ], "maxResults": 100, "skipDetails": false } ``` # 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 = { "urls": [ { "url": "https://adstransparency.google.com/advertiser/AR16735076323512287233" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesmith/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 = { "urls": [{ "url": "https://adstransparency.google.com/advertiser/AR16735076323512287233" }] } # Run the Actor and wait for it to finish run = client.actor("scrapesmith/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 '{ "urls": [ { "url": "https://adstransparency.google.com/advertiser/AR16735076323512287233" } ] }' | apify call scrapesmith/google-ads-transparency-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesmith/google-ads-transparency-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Google Ads Transparency Scraper", "description": "Scrape Google Ads Transparency Center at 1,000+ ads/min. Get creatives, headlines, targeting, impression stats, regional breakdowns by platform. Search by advertiser URL or keyword. Pay per result from $0.40/1k.", "version": "0.0", "x-build-id": "HUPfoe9udTFVKa8Fv" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesmith~google-ads-transparency-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesmith-google-ads-transparency-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/scrapesmith~google-ads-transparency-scraper/runs": { "post": { "operationId": "runs-sync-scrapesmith-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/scrapesmith~google-ads-transparency-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesmith-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": { "urls": { "title": "Advertiser URLs", "type": "array", "description": "Google Ads Transparency Center advertiser URLs (e.g. https://adstransparency.google.com/advertiser/AR...)", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "searchQueries": { "title": "Search Queries", "type": "array", "description": "Search for advertisers by name, keyword, or domain (e.g. 'Nike', 'Amazon', 'nike.com'). Returns ads from the top matching advertiser.", "items": { "type": "string" } }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 100000, "type": "integer", "description": "Maximum number of ads to scrape per run.", "default": 100 }, "skipDetails": { "title": "Skip Details", "type": "boolean", "description": "Skip fetching detailed info (targeting, impressions, regional stats) for each ad. Much faster but fewer fields.", "default": false }, "region": { "title": "Region Filter", "type": "integer", "description": "Filter ads by region (Google Geo Target ID). Examples: 2840=US, 2826=GB, 2276=DE, 2250=FR, 2380=IT, 2724=ES, 2036=AU, 2124=CA, 2356=IN, 2392=JP, 2076=BR." }, "adFormat": { "title": "Ad Format Filter", "enum": [ "TEXT", "IMAGE", "VIDEO" ], "type": "string", "description": "Filter by ad format." } } }, "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 } } } } } } } } } } ```