# Export Google Ads Transparency Data to Excel

**Use case:** 

A brand's ads from the Google Ads Transparency Center as a spreadsheet: one row per ad with its words, format, first and last shown, days shown, countries and ad link, and a summary row per advertiser. Download as Excel, CSV or JSON.

## Input

```json
{
  "queries": [
    "aspendental.com"
  ],
  "resultType": "ads",
  "region": "US",
  "adPlatforms": [],
  "creativeFormat": "ALL",
  "politicalAds": false,
  "maxAdsPerSearch": 100,
  "maxAdvertisersPerQuery": 5,
  "includeDetails": true,
  "includeAdText": true,
  "ocr": true,
  "ocrAllVariations": true,
  "landingPages": false,
  "onlyNewAds": false,
  "monitorStoreName": "google-ads-library-monitor",
  "notifyWhen": "ads",
  "skipDuplicateAds": true,
  "includeErrorRows": true,
  "fastMode": false,
  "maxConcurrency": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "residentialFallback": true,
  "failIfAllInputsFail": false,
  "strictInput": false
}
```

## Output

```json
{
  "imageUrl": {
    "label": "Ad",
    "format": "string"
  },
  "advertiserName": {
    "label": "Advertiser",
    "format": "string"
  },
  "format": {
    "label": "Format",
    "format": "string"
  },
  "headline": {
    "label": "Headline",
    "format": "string"
  },
  "description": {
    "label": "Description",
    "format": "string"
  },
  "displayUrl": {
    "label": "Display URL",
    "format": "string"
  },
  "firstShown": {
    "label": "First shown",
    "format": "string"
  },
  "lastShown": {
    "label": "Last shown",
    "format": "string"
  },
  "daysShown": {
    "label": "Days",
    "format": "integer"
  },
  "regionCount": {
    "label": "Countries",
    "format": "integer"
  },
  "youtubeVideoId": {
    "label": "YouTube",
    "format": "string"
  },
  "adUrl": {
    "label": "Link",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The Google Ads Library Scraper — Google Ads Transparency Center Actor is ready to run with the inputs already set for "Export Google Ads Transparency Data to Excel". [Sign up or log in](https://console.apify.com/create-task-from-example/Dl8eUjx3lb8wO5eUB) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Export Google Ads Transparency Data to Excel" task

The Google Ads Library Scraper — Google Ads Transparency Center Actor will start running based on the input automatically. You can also change all the input fields, like brands, websites, advertiser ids or links, what to return, and more, to match your specific use case.

### 3. Receive the "Export Google Ads Transparency Data to Excel" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as ad, advertiser, format, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Export Google Ads Transparency Data to Excel" task via API](https://apify.com/anuarbakty/google-ads-library-scraper.md).

## FAQ

### How do I download the results to Excel?

When the run ends, open the Output tab and export to Excel or CSV. To get the rows after every run, connect the task to Google Sheets.

### How many ads can one run export?

As many as Google lists for the advertiser. One test run read 1,000 ads of one website.

## About this Actor

This example demonstrates how to use [Google Ads Library Scraper — Google Ads Transparency Center](https://apify.com/anuarbakty/google-ads-library-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/anuarbakty/google-ads-library-scraper.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/anuarbakty/google-ads-library-scraper.md

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`).