# Microsoft Ad Library Scraper (`easyapi/microsoft-ad-library-scraper`) Actor

Scrape ads from the Microsoft Ad Library API. Search by keyword or advertiser, filter by date and EEA country, optionally expand impression and targeting details.

- **URL**: https://apify.com/easyapi/microsoft-ad-library-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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.

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

## Microsoft Ad Library Scraper

Scrape public ads from the [Microsoft Ad Library](https://adlibrary.ads.microsoft.com/) using the official Ad Library API. Search by keyword or advertiser ID, filter by date range and EEA country, and optionally expand per-ad details such as impression ranges, country share, and targeting.

> Note: The Ad Library covers ads served in the EU / EEA (transparency / compliance data), not global Bing Ads performance reports.

### Key Features

- Search ads by keyword (`searchTexts`) and/or advertiser ID
- Filter by start/end date and EEA countries
- Paginate until `maxItems` is reached
- Optional `includeAdDetails` for impressions, country share, and targets
- Optional Apify Proxy support
- No authentication required (public API)

### Input

| Field | Type | Required | Description |
|-------|------|----------|-------------|
| searchTexts | array | No\* | Keywords to search in ad content |
| advertiserIds | array | No\* | Advertiser IDs to filter |
| startDate | string | No | `yyyy-MM-dd` |
| endDate | string | No | `yyyy-MM-dd` |
| countryCodes | array | No | Country names or numeric codes (e.g. `Germany` / `72`) |
| maxItems | integer | No | Max ads to save (default 50) |
| includeAdDetails | boolean | No | Fetch AdDetails per ad (default false) |
| proxyConfiguration | object | No | Proxy settings |

\* At least one of `searchTexts` or `advertiserIds` is required.

#### Input Example

```json
{
    "searchTexts": ["nike"],
    "maxItems": 20,
    "includeAdDetails": false
}
```

#### With details and country filter

```json
{
    "searchTexts": ["shopify"],
    "countryCodes": ["Germany", "France"],
    "startDate": "2025-01-01",
    "maxItems": 10,
    "includeAdDetails": true
}
```

### Output

Each ad is saved as one dataset record:

```json
{
    "adId": 71056224111848,
    "advertiserId": 4295011316,
    "advertiserName": "Passa Sports B.V.",
    "title": "Nike Padelschuhe Herren - ...",
    "description": "",
    "displayUrl": "www.passasports.de/Padelkleidung/Nike",
    "destinationUrl": "https://www.passasports.de/padel/padel-schuhe/herren/nike",
    "assetJson": null,
    "paidForByName": null,
    "startDate": "2026-04-04",
    "endDate": "2026-10-20",
    "totalImpressionsRange": "2.5K - 5K",
    "impressionsByCountry": [
        { "country": "Germany", "impressionShare": "97.3%" }
    ],
    "targets": [
        { "targetType": "Location", "usedForExclusion": false }
    ],
    "restrictionReason": null,
    "searchText": "nike",
    "queryAdvertiserId": null,
    "scrapedAt": "2026-10-22T00:00:00.000Z"
}
```

Detail fields (`startDate`, `totalImpressionsRange`, etc.) are populated only when `includeAdDetails` is `true`.

### Use Cases

- Competitor ad monitoring on Bing / Microsoft Advertising (EEA)
- Brand and trademark mention tracking
- Regulatory / transparency research
- Creative and landing-page discovery

### API Source

Uses the official Microsoft endpoint:

`https://adlibrary.api.bingads.microsoft.com/api/v1/`

Unauthenticated public access; rate limits may apply for high-volume runs.

# Actor input Schema

## `searchTexts` (type: `array`):

Keywords to search in ad copy or advertiser-related content (e.g. nike, shopify).

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

Optional Microsoft Ad Library advertiser IDs to filter ads. Can be used alone or combined with search texts.

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

Filter ads active on or after this date (yyyy-MM-dd).

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

Filter ads active on or before this date (yyyy-MM-dd).

## `countryCodes` (type: `array`):

EEA countries to filter by. Use country names (Germany) or numeric codes (72).

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

Maximum number of ads to save across all queries.

## `includeAdDetails` (type: `boolean`):

If true, fetch AdDetails for each ad (impressions range, country share, targets). Slower and more API calls.

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

Optional proxy settings for API requests.

## Actor input object example

```json
{
  "searchTexts": [
    "nike"
  ],
  "startDate": "2025-01-01",
  "endDate": "2026-12-31",
  "countryCodes": [
    "Germany",
    "France"
  ],
  "maxItems": 50,
  "includeAdDetails": false,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

One dataset item per ad, including advertiser, copy, URLs, and optional AdDetails.

# 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 = {
    "searchTexts": [
        "nike"
    ],
    "maxItems": 50,
    "includeAdDetails": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/microsoft-ad-library-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 = {
    "searchTexts": ["nike"],
    "maxItems": 50,
    "includeAdDetails": False,
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/microsoft-ad-library-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 '{
  "searchTexts": [
    "nike"
  ],
  "maxItems": 50,
  "includeAdDetails": false
}' |
apify call easyapi/microsoft-ad-library-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,easyapi/microsoft-ad-library-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/oGfPdyBbhGERbvG4X/builds/vsaBiISq2dwi1KlVa/openapi.json