# Google Ads Transparency Center Scraper (`neuro-scraper/google-ads-transparency-center-scraper`) Actor

Google Ads Transparency Scraper SD - Google Ads Transparency Scraper is an ad intelligence tool that extracts every Google ad of a domain or advertiser: format, first and last shown dates, days shown, advertiser and preview images, per region.

- **URL**: https://apify.com/neuro-scraper/google-ads-transparency-center-scraper.md
- **Developed by:** [Neuro Scraper](https://apify.com/neuro-scraper) (community)
- **Categories:** SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.49 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

### Google Ads Transparency Scraper - every Google ad of a brand, domain or advertiser

The Google Ads Transparency Scraper reads Google's public Ads Transparency Center and returns one row per
ad (creative): advertiser, creative id, format (text, image or video), first and last shown dates, number of
days shown, domain, image or preview URL, and a link to the ad in the Transparency Center. Search by
domain (nike.com), advertiser id, advertiser name or Transparency Center link, worldwide or for one
country. No login, no API key.

#### Input

| Field | Type | Default | Meaning |
|---|---|---|---|
| `queries` | list of text | `nike.com` (prefill) | Domains, advertiser ids (AR...), advertiser names or adstransparency.google.com links |
| `region` | text | `anywhere` | anywhere, or a country code: US, GB, DE ... |
| `maxItems` | integer | 100 | Total ads (40 per page) |
| `maxItemsPerQuery` | integer | 0 (no limit) | Cap per query |
| `proxyConfiguration` | proxy | Apify RESIDENTIAL | Proxy for Google |

#### Output (one row per ad)

| Field | Example |
|---|---|
| `advertiserId`, `advertiserName` | AR18378488041124659201, Nike Retail BV |
| `creativeId`, `format` | CR04560128552401371137, TEXT |
| `firstShown`, `lastShown`, `daysShown` | 2026-02-21T17:27:16+00:00, 2026-10-02T20:37:48+00:00, 224 |
| `domain` | nike.com (domain searches) |
| `imageUrl`, `previewUrl` | https://tpc.googlesyndication.com/archive/simgad/..., or the ad's preview script URL |
| `adUrl` | https://adstransparency.google.com/advertiser/AR.../creative/CR...?region=anywhere |
| `query`, `queryType`, `region`, `scrapedAt` | the input that produced the row |

#### Measured (2026-10-03, local test runs)

- nike.com worldwide: Google reports 100,000-200,000 ads; 100 ads in 4 s.
- nike.com in the US: 8,000-9,000 ads reported; 200 ads (5 pages) in 8 s.
- "Coca-Cola" (name) + a Nike advertiser link: 80 ads in 4 s.

#### Limits

- Ad text and landing pages are not extracted; text ads come as rendered images or preview scripts.
- Google reports totals as ranges (e.g. 100,000-200,000).
- A name is matched to the advertiser with the most ads; use the AR id for an exact account.

#### Example

```json
{"queries": ["adidas.com", "AR16735076323512287233"], "region": "GB", "maxItems": 500}
```

# Actor input Schema

## `queries` (type: `array`):

nike.com, an advertiser id like AR16735076323512287233, an advertiser name like "Nike, Inc.", or an adstransparency.google.com/advertiser/... link. A name is matched to the advertiser with the most ads.

## `region` (type: `string`):

"anywhere" or a two-letter country code (US, GB, DE ...) - ads shown in that country.

## `maxItems` (type: `integer`):

Total ads. Google returns 40 per page; the Actor pages until this number or the end.

## `maxItemsPerQuery` (type: `integer`):

0 = no per-query limit.

## `proxyConfiguration` (type: `object`):

Residential proxy is recommended and is the default.

## Actor input object example

```json
{
  "queries": [
    "nike.com"
  ],
  "region": "anywhere",
  "maxItems": 100,
  "maxItemsPerQuery": 0,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "queries": [
        "nike.com"
    ],
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyGroups": [
            "RESIDENTIAL"
        ]
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("neuro-scraper/google-ads-transparency-center-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "queries": ["nike.com"],
    "proxyConfiguration": {
        "useApifyProxy": True,
        "apifyProxyGroups": ["RESIDENTIAL"],
    },
}

# Run the Actor and wait for it to finish
run = client.actor("neuro-scraper/google-ads-transparency-center-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).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,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}' |
apify call neuro-scraper/google-ads-transparency-center-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,neuro-scraper/google-ads-transparency-center-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3wtzTnfkzGHFJP5gh/builds/f5Lw20BNpfro8wlpT/openapi.json