# Meta Ad Library Scraper (`admo-solutions/meta-ads-library-scraper`) Actor

Scrape ads from Meta Ad Library by keyword search or from Facebook page URLs. Extracts ad creatives, CTAs, platforms, and targeting data.

- **URL**: https://apify.com/admo-solutions/meta-ads-library-scraper.md
- **Developed by:** [Admo Solutions](https://apify.com/admo-solutions) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 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.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

## Meta Ad Library Scraper

Scrape ads from Meta's Ad Library using Playwright. Supports two modes:

1. **Keyword search** — Search the Ad Library by keyword
2. **Facebook page scraping** — Scrape all ads from specific Facebook pages

Extracts ad creatives, CTAs, platforms, and targeting data. No API key required.

### Features

- **Dual-mode** — Ad Library search + Facebook page scraping
- **Relay cache extraction** — Parses embedded GraphQL data for complete field coverage
- **Residential proxy support** — Built-in proxy rotation
- **Deduplication** — Automatically deduplicates by ad archive ID
- **Clean output** — Structured JSON dataset

### Input

| Field | Description | Default |
|-------|-------------|---------|
| URLs | Ad Library or Facebook page URLs | \[] |
| Search Term | Keyword for Ad Library search (if URLs empty) | "" |
| Country Code | ISO 2-letter country code | "ALL" |
| Ad Type | Filter by ad category | "ALL" |
| Active Status | Active/Inactive/All | "ALL" |
| Max Items | Maximum ads per source | 100 |
| Max Scrolls | Scroll iterations | 20 |
| Scroll Delay | Delay between scrolls (ms) | 2000 |

#### Supported URL formats

- `https://www.facebook.com/ads/library/?active_status=all&ad_type=all&country=US&q=skincare`
- `https://www.facebook.com/ZapierApp`
- `https://www.facebook.com/profile.php?id=123456`
- `facebook.com/YourPage`

### Output

Each ad contains:

| Field | Description |
|-------|-------------|
| adArchiveId | Unique ad identifier |
| pageId | Facebook page ID |
| pageName | Advertiser page name |
| pageUrl | Page URL |
| body | Ad text content |
| title | Ad headline |
| linkUrl | CTA destination URL |
| ctaText | CTA button text |
| ctaType | CTA type (SHOP\_NOW, LEARN\_MORE, etc.) |
| startDate | When ad started running |
| isActive | Whether ad is active |
| platforms | Where ad runs (Facebook, Instagram, etc.) |
| mediaType | Ad format (image, video, carousel) |
| source | Which source this ad came from |

### Usage

#### Search by keyword

```json
{
  "searchTerm": "skincare",
  "country": "US",
  "maxItems": 100
}
```

#### Scrape from Facebook pages

```json
{
  "urls": [
    "https://www.facebook.com/ZapierApp",
    "https://www.facebook.com/ceraveusa"
  ],
  "maxItems": 50
}
```

#### Mixed mode

```json
{
  "urls": [
    "https://www.facebook.com/ads/library/?active_status=all&q=skincare&country=US",
    "https://www.facebook.com/ZapierApp"
  ],
  "maxItems": 100
}
```

### Cost

- 100 ads: ~$0.05-0.15 compute
- 1000 ads: ~$0.50-1.50 compute
- Residential proxy additional

### Disclaimer

This scraper only extracts publicly available data from Meta Ad Library. Users are responsible for complying with applicable laws and regulations.

# Actor input Schema

## `urls` (type: `array`):

List of URLs to scrape. Accepts Ad Library search URLs or Facebook page URLs (e.g., 'https://www.facebook.com/ZapierApp').

## `searchTerm` (type: `string`):

Keyword to search in Meta Ad Library. Used when 'urls' is empty.

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

ISO 2-letter country code to filter ads (e.g., 'US', 'IN', 'GB'). Leave empty for worldwide.

## `adType` (type: `string`):

Filter by ad category.

## `activeStatus` (type: `string`):

Filter by ad active status.

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

Maximum number of ads to extract per source.

## `maxScrolls` (type: `integer`):

Maximum scroll iterations to load more ads.

## `scrollDelay` (type: `integer`):

Delay between scroll operations in milliseconds.

## `enrichPages` (type: `boolean`):

After scraping ads, visit each Facebook page to extract contact info (phone, email, website), likes, followers, ratings, and categories. Adds ~2 HTTP requests per unique page.

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

Proxy settings. Residential proxy strongly recommended.

## Actor input object example

```json
{
  "urls": [],
  "searchTerm": "",
  "country": "ALL",
  "adType": "ALL",
  "activeStatus": "ALL",
  "maxItems": 100,
  "maxScrolls": 20,
  "scrollDelay": 2000,
  "enrichPages": false,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# 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 = {
    "urls": [],
    "searchTerm": "",
    "country": "ALL",
    "adType": "ALL",
    "activeStatus": "ALL",
    "maxItems": 100,
    "maxScrolls": 20,
    "scrollDelay": 2000,
    "enrichPages": false
};

// Run the Actor and wait for it to finish
const run = await client.actor("admo-solutions/meta-ads-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 = {
    "urls": [],
    "searchTerm": "",
    "country": "ALL",
    "adType": "ALL",
    "activeStatus": "ALL",
    "maxItems": 100,
    "maxScrolls": 20,
    "scrollDelay": 2000,
    "enrichPages": False,
}

# Run the Actor and wait for it to finish
run = client.actor("admo-solutions/meta-ads-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 '{
  "urls": [],
  "searchTerm": "",
  "country": "ALL",
  "adType": "ALL",
  "activeStatus": "ALL",
  "maxItems": 100,
  "maxScrolls": 20,
  "scrollDelay": 2000,
  "enrichPages": false
}' |
apify call admo-solutions/meta-ads-library-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,admo-solutions/meta-ads-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/I1IkVGLRRs4TUh56P/builds/2pyOnBbILqEqCRyZV/openapi.json