# Google Ads Transparency Scraper (`workstream/google-ads-transparency-scraper`) Actor

Scrape Google Ads Transparency Center for any advertiser or domain. Search, Display and YouTube ads with creatives, first/last seen dates, regions and formats. Competitor ad research without proxies.

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

## Pricing

Pay per event

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/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

Scrape the **Google Ads Transparency Center** for competitor ads. Pull every Search, Display and YouTube ad a brand runs — creatives, first/last seen dates, regions and formats — without proxies.

### Who this is for

- Competitor ad research and creative intelligence
- Brand monitoring and trademark enforcement
- Agencies building media reports for clients
- Ad libraries and marketing data products

### What you get

| Field | Example |
|---|---|
| advertiser / domain | Nike, nike.com |
| ad format | Search, Image, YouTube |
| creative text / images | ad copy and asset URLs |
| firstSeen, lastSeen | when the ad ran |
| regions | countries the ad appeared in |
| ad details URL | deep link into Transparency Center |

### Input example

```json
{"domains": ["nike.com", "adidas.com"], "maxAds": 100}
```

Also accepts advertiser names. The default Start button returns Nike ads so you can try it in one click.

### Pricing

Pay per result. See the Pricing tab. No start fee. Typically cheaper than multi-event competitors that charge a start fee plus a per-ad fee.

### FAQ

**Do I need proxies?** No — runs from Apify servers.
**Search and YouTube ads?** Yes, all formats the Transparency Center exposes.
**Is this the same as Google Ads Library?** Yes — Google Ads Transparency Center is Google's official ads library.

# Actor input Schema

## `domains` (type: `array`):

Websites whose ads you want, e.g. nike.com

## `advertiserNames` (type: `array`):

Advertiser names; the best exact match is used (e.g. 'Nike, Inc.').

## `advertiserIds` (type: `array`):

IDs starting with AR..., from the advertiser's Transparency Center URL.

## `country` (type: `string`):

2-letter ISO code (US, GB, DE, AE...) or ALL for every country.

## `startDate` (type: `string`):

Only ads shown on or after this date (YYYY-MM-DD).

## `endDate` (type: `string`):

Only ads shown on or before this date (YYYY-MM-DD).

## `format` (type: `string`):

Filter by ad format.

## `maxAdsPerAdvertiser` (type: `integer`):

Stop after this many ads per domain/name/ID.

## `includeRegions` (type: `boolean`):

Fetch per-country first/last shown dates and impression ranges for each ad (charged as 'ad-details').

## `onlyNewSince` (type: `string`):

Return only ads first shown on/after this date. Schedule daily to monitor new competitor ads.

## `maxConcurrency` (type: `integer`):

Parallel requests (keep low to avoid rate limits).

## Actor input object example

```json
{
  "domains": [
    "nike.com"
  ],
  "country": "US",
  "format": "ALL",
  "maxAdsPerAdvertiser": 200,
  "includeRegions": false,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `ads` (type: `string`):

All scraped ads (one item per ad)

## `summary` (type: `string`):

Counts of ads, requests, retries and failures

# 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 = {
    "domains": [
        "nike.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("workstream/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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "domains": ["nike.com"] }

# Run the Actor and wait for it to finish
run = client.actor("workstream/google-ads-transparency-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 '{
  "domains": [
    "nike.com"
  ]
}' |
apify call workstream/google-ads-transparency-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,workstream/google-ads-transparency-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/QvHTgYbUsckzUpIO3/builds/YmwunMZgReZxutAgr/openapi.json