# Google Ads Scraper - Ads Transparency Center (`convertfleetdotonline/google-ads-scraper`) Actor
Google Ads Transparency Center scraper - extract competitor text, image and video ads by keyword, domain or advertiser ID: creatives, formats, regions and run dates. Spy on competitor ad strategy. No API key. Export CSV or JSON.
- **URL**: https://apify.com/convertfleetdotonline/google-ads-scraper.md
- **Developed by:** [Hasnain Nisar](https://apify.com/convertfleetdotonline) (community)
- **Categories:** Marketing, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
Pay per usage
This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage
## 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 Scraper — Ads Transparency Center
Extract **text, image and video ads** from the [Google Ads Transparency Center](https://adstransparency.google.com/) — Google's official, public library of every ad shown by verified advertisers. Spy on competitor campaigns, monitor brand activity, and collect ad creatives at scale, with no login and no browser automation.
### What it does
Give it a **keyword** (`nike`), a **website domain** (`nike.com`), or a Google **advertiser ID** (`AR16735076323512287233`) and it returns every matching ad, including:
- 🏷️ Advertiser name, verified legal name, domain and advertiser ID
- 🖼️ Ad format (text / image / video) and creative preview URLs
- 📅 First-shown and last-shown dates for each ad
- 🌍 Per-region serving stats (which countries the ad ran in, with dates)
- 🔗 Direct link to the ad's page in the Transparency Center
- 🧩 All creative variations of each ad
Keywords are resolved to matching advertisers automatically — one query can fan out to several advertisers (configurable).
### Input
```json
{
"queries": ["nike.com", "adidas", "AR16735076323512287233"],
"region": "US",
"adFormat": "ALL",
"maxAdsPerQuery": 100,
"includeDetails": true
}
````
| Field | Description |
| --- | --- |
| `queries` | Keywords, domains, or `AR...` advertiser IDs |
| `region` | Two-letter country code (`US`, `GB`, `DE`, …) or `ANYWHERE` |
| `adFormat` | `ALL`, `TEXT`, `IMAGE`, or `VIDEO` |
| `maxAdsPerQuery` | Up to 5,000 ads per query |
| `maxAdvertisersPerKeyword` | How many advertisers a keyword may expand to (default 3) |
| `includeDetails` | Fetch per-ad variations + region stats (one extra request per ad) |
### Output example
```json
{
"advertiserId": "AR16735076323512287233",
"advertiserName": "Nike, Inc.",
"advertiserDomain": "nike.com",
"creativeId": "CR13364026518028681217",
"format": "IMAGE",
"firstShown": "2022-11-30",
"lastShown": "2026-07-20",
"creativePageUrl": "https://adstransparency.google.com/advertiser/AR16735076323512287233/creative/CR13364026518028681217?region=US",
"imageUrl": "https://tpc.googlesyndication.com/archive/simgad/14464828722655146423",
"regionStats": [{ "regionCode": "US", "lastShown": "2026-07-20" }],
"variations": [{ "imageUrl": "https://tpc.googlesyndication.com/archive/simgad/14464828722655146423" }],
"query": "nike.com",
"scrapedAt": "2026-07-20T18:00:00Z"
}
```
### Why scrape the Google Ads Transparency Center?
- **Competitive intelligence** — see every ad your competitors are running, in which countries, and for how long.
- **Creative research** — collect image and video creatives for inspiration and trend analysis.
- **Brand safety & compliance** — monitor who advertises on your brand terms.
- **Longest-running ads = winning ads** — sort by `firstShown` to find the evergreen creatives that keep earning their spend.
### FAQ
**Is this legal?** The Ads Transparency Center is a public dataset Google publishes for exactly this purpose — transparency. The actor only collects publicly available data.
**Do I need proxies?** The actor uses the Apify Proxy by default and automatically falls back to a direct connection if the proxy cannot reach Google.
**Text ad copy?** Text ads return a `previewUrl` that renders the full ad; the raw headline/description strings are embedded in Google's renderer and are not extracted in this version.
**How fast is it?** Listing runs at roughly 400 ads per minute; with `includeDetails` enabled expect ~150–250 ads per minute depending on concurrency.
# Actor input Schema
## `queries` (type: `array`):
What to scrape ads for. Each entry can be a keyword (e.g. 'nike'), a website domain (e.g. 'nike.com'), or a Google advertiser ID (e.g. 'AR16735076323512287233'). Keywords are resolved to matching advertisers automatically.
## `region` (type: `string`):
Two-letter country code the ads were shown in (e.g. 'US', 'GB', 'DE'), or 'ANYWHERE' for all regions.
## `adFormat` (type: `string`):
Only return ads of this creative format.
## `maxAdsPerQuery` (type: `integer`):
Maximum number of ads to collect for each query (1-5000).
## `maxAdvertisersPerKeyword` (type: `integer`):
When a query is a keyword (not a domain or advertiser ID), scrape ads from up to this many matching advertisers.
## `includeDetails` (type: `boolean`):
Fetch per-ad details: all creative variations and per-region first/last shown dates. One extra request per ad.
## `proxyConfiguration` (type: `object`):
Proxy to route requests through. The actor probes the proxy at startup and automatically falls back to a direct connection if the proxy cannot reach Google.
## Actor input object example
```json
{
"queries": [
"nike.com"
],
"region": "US",
"adFormat": "ALL",
"maxAdsPerQuery": 100,
"maxAdvertisersPerKeyword": 3,
"includeDetails": true,
"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 = {
"queries": [
"nike.com"
],
"proxyConfiguration": {
"useApifyProxy": true
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("convertfleetdotonline/google-ads-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 = {
"queries": ["nike.com"],
"proxyConfiguration": { "useApifyProxy": True },
}
# Run the Actor and wait for it to finish
run = client.actor("convertfleetdotonline/google-ads-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 '{
"queries": [
"nike.com"
],
"proxyConfiguration": {
"useApifyProxy": true
}
}' |
apify call convertfleetdotonline/google-ads-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=convertfleetdotonline/google-ads-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Google Ads Scraper - Ads Transparency Center",
"description": "Google Ads Transparency Center scraper - extract competitor text, image and video ads by keyword, domain or advertiser ID: creatives, formats, regions and run dates. Spy on competitor ad strategy. No API key. Export CSV or JSON.",
"version": "0.1",
"x-build-id": "X04McNmj4MXVs2Mau"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/convertfleetdotonline~google-ads-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-convertfleetdotonline-google-ads-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/convertfleetdotonline~google-ads-scraper/runs": {
"post": {
"operationId": "runs-sync-convertfleetdotonline-google-ads-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/convertfleetdotonline~google-ads-scraper/run-sync": {
"post": {
"operationId": "run-sync-convertfleetdotonline-google-ads-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": [
"queries"
],
"properties": {
"queries": {
"title": "Search queries",
"type": "array",
"description": "What to scrape ads for. Each entry can be a keyword (e.g. 'nike'), a website domain (e.g. 'nike.com'), or a Google advertiser ID (e.g. 'AR16735076323512287233'). Keywords are resolved to matching advertisers automatically.",
"items": {
"type": "string"
}
},
"region": {
"title": "Region",
"type": "string",
"description": "Two-letter country code the ads were shown in (e.g. 'US', 'GB', 'DE'), or 'ANYWHERE' for all regions.",
"default": "US"
},
"adFormat": {
"title": "Ad format",
"enum": [
"ALL",
"TEXT",
"IMAGE",
"VIDEO"
],
"type": "string",
"description": "Only return ads of this creative format.",
"default": "ALL"
},
"maxAdsPerQuery": {
"title": "Max ads per query",
"minimum": 1,
"maximum": 5000,
"type": "integer",
"description": "Maximum number of ads to collect for each query (1-5000).",
"default": 100
},
"maxAdvertisersPerKeyword": {
"title": "Max advertisers per keyword",
"minimum": 1,
"maximum": 20,
"type": "integer",
"description": "When a query is a keyword (not a domain or advertiser ID), scrape ads from up to this many matching advertisers.",
"default": 3
},
"includeDetails": {
"title": "Include creative details",
"type": "boolean",
"description": "Fetch per-ad details: all creative variations and per-region first/last shown dates. One extra request per ad.",
"default": true
},
"proxyConfiguration": {
"title": "Proxy configuration",
"type": "object",
"description": "Proxy to route requests through. The actor probes the proxy at startup and automatically falls back to a direct connection if the proxy cannot reach Google.",
"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
}
}
}
}
}
}
}
}
}
}
```