# Google Ads Transparency Center Ads & Creatives Scraper (`scrapers_lat/google-ads-transparency-scraper`) Actor
Scrape ads from the Google Ads Transparency Center by advertiser name or domain: advertiser id, verified region, creative id, ad format, preview and thumbnail URL, first and last shown dates and regions. Export to JSON, CSV or Excel.
- **URL**: https://apify.com/scrapers\_lat/google-ads-transparency-scraper.md
- **Developed by:** [Scrapers Lat](https://apify.com/scrapers_lat) (community)
- **Categories:** Lead generation, Social media
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $10.20 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.
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/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 Center Ads & Creatives Scraper
> Pull every ad an advertiser is running from the Google Ads Transparency Center by name or domain. Get the advertiser and its legal entity name, creative id, ad format, ad topic, preview and thumbnail image, first and last shown dates, disclosed impressions and the countries each ad ran in with per-country flight dates. Clean structured data for competitive research, ad intelligence and lead generation.
**๐ฅ [Input](https://apify.com/scrapers_lat/google-ads-transparency-scraper/input-schema) ยท ๐ค [Output](https://apify.com/scrapers_lat/google-ads-transparency-scraper/output-schema) ยท ๐ฐ [Pricing](https://apify.com/scrapers_lat/google-ads-transparency-scraper/pricing) ยท โถ๏ธ [Examples](https://apify.com/scrapers_lat/google-ads-transparency-scraper/examples)**
Search by advertiser or domain
Legal name, topic & reach plus per-country flight dates
JSON / CSV / Excel output formats
### Who is it for
| Use case | Who benefits |
|---|---|
| Competitive ad intelligence | Marketers tracking what rivals advertise and where |
| Creative research | Agencies studying live ad creatives and formats |
| Lead generation | Sales teams finding active advertisers by domain or niche |
| Brand safety and fraud | Analysts auditing ad activity across regions |
### How to use it
1. Add one or more **advertiser names** (for example `Nike`) or **domains** (for example `nike.com`) in **Advertiser Names Or Domains**. Each entry runs its own search.
2. Optionally add **Regions** (ISO country codes such as `US`, `GB`, `DE`) to keep only ads that ran in those countries.
3. Set **Max Ads To Scrape** and run. Export as JSON, CSV or Excel, or pull it through the Apify API.
### Frequently Asked Questions
**Can I search by website instead of by brand name?**
Yes. Enter a domain such as `nike.com` and the actor returns the ads tied to that domain. Enter a plain name such as `Nike` and it matches the advertiser accounts by name.
**Which ad formats are covered?**
Image, text and video creatives are all returned, each tagged in the adFormat field.
**Do I get the countries an ad ran in?**
Yes. Each record includes regionsShown, the list of countries where the ad was served, plus a count.
**How fresh is the data?**
Ads and dates are read live at run time, so each record reflects the Transparency Center at the moment of the run (see observedAt).
**Do I need a login or cookies?**
No. The actor only reads publicly available transparency data. You never provide any account or credentials.
### Related scrapers
- [Google News Scraper](https://apify.com/scrapers_lat/google-news-scraper)
- [Google Maps Scraper](https://apify.com/scrapers_lat/google-maps-scraper)
- [Trustpilot Reviews Scraper](https://apify.com/scrapers_lat/trustpilot-reviews-scraper)
### More scrapers at scrapers.lat
This actor is built and maintained by [scrapers.lat](https://scrapers.lat), where we publish scrapers for public platforms: finance, news, real estate, jobs, e-commerce and government data. Browse the full catalog or ask us for a custom scraper at [scrapers.lat](https://scrapers.lat).
---
> This actor is an independent tool and has no affiliation with Google. It only accesses publicly available ad transparency data. Use the results in accordance with the source's terms.
# Actor input Schema
## `maxAds` (type: `integer`):
Maximum number of ads (creatives) to collect across the whole run. Optional.
## `advertiserQueries` (type: `array`):
One or more advertiser names (for example 'Nike') or website domains (for example 'nike.com'). Each entry runs its own search. A value with a dot and no spaces is treated as a domain; anything else is matched to advertisers by name.
## `regions` (type: `array`):
Optional. Two letter ISO country codes (for example 'US', 'GB', 'DE') to keep only ads that ran in those countries. Leave empty for all regions.
## Actor input object example
```json
{
"maxAds": 50,
"advertiserQueries": [
"nike.com"
]
}
````
# Actor output Schema
## `results` (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 = {
"maxAds": 50,
"advertiserQueries": [
"nike.com"
]
};
// Run the Actor and wait for it to finish
const run = await client.actor("scrapers_lat/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(`๐พ 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);
});
// ๐ Want to learn more ๐? Go to โ 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 = {
"maxAds": 50,
"advertiserQueries": ["nike.com"],
}
# Run the Actor and wait for it to finish
run = client.actor("scrapers_lat/google-ads-transparency-scraper").call(run_input=run_input)
# Fetch and print Actor results from the run's dataset (if there are any)
print("๐พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)
# ๐ Want to learn more ๐? Go to โ https://docs.apify.com/api/client/python/docs/quick-start
```
## CLI example
```bash
echo '{
"maxAds": 50,
"advertiserQueries": [
"nike.com"
]
}' |
apify call scrapers_lat/google-ads-transparency-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=scrapers_lat/google-ads-transparency-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Ads Transparency Center Ads & Creatives Scraper",
"description": "Scrape ads from the Google Ads Transparency Center by advertiser name or domain: advertiser id, verified region, creative id, ad format, preview and thumbnail URL, first and last shown dates and regions. Export to JSON, CSV or Excel.",
"version": "0.1",
"x-build-id": "hCN3a87aQAE2VAPEc"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/scrapers_lat~google-ads-transparency-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-scrapers_lat-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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/scrapers_lat~google-ads-transparency-scraper/runs": {
"post": {
"operationId": "runs-sync-scrapers_lat-google-ads-transparency-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/scrapers_lat~google-ads-transparency-scraper/run-sync": {
"post": {
"operationId": "run-sync-scrapers_lat-google-ads-transparency-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"maxAds": {
"title": "Max Ads To Scrape",
"minimum": 1,
"maximum": 1000000,
"type": "integer",
"description": "Maximum number of ads (creatives) to collect across the whole run. Optional."
},
"advertiserQueries": {
"title": "Advertiser Names Or Domains",
"type": "array",
"description": "One or more advertiser names (for example 'Nike') or website domains (for example 'nike.com'). Each entry runs its own search. A value with a dot and no spaces is treated as a domain; anything else is matched to advertisers by name.",
"items": {
"type": "string"
}
},
"regions": {
"title": "Regions (ISO country codes)",
"type": "array",
"description": "Optional. Two letter ISO country codes (for example 'US', 'GB', 'DE') to keep only ads that ran in those countries. Leave empty for all regions.",
"items": {
"type": "string"
}
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```