# Meta Ads Library Scraper - Facebook & Instagram Ads API (`groupoject/meta-ads-library-monitor`) Actor

Monitor Meta Ad Library ads by keyword or Facebook page ID. Export ad copy, pages, platforms, dates, countries, spend/reach fields when available, and creative links.

- **URL**: https://apify.com/groupoject/meta-ads-library-monitor.md
- **Developed by:** [Group Oject](https://apify.com/groupoject) (community)
- **Categories:** Social media, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

$4.00 / 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?

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 Ads Library Scraper - Facebook & Instagram Ads API

Search Meta Ad Library by keyword or Facebook page ID and export structured Facebook/Instagram ad data from the official Meta Graph API.

### Use cases

- Track competitor Facebook and Instagram ads
- Monitor brand, political, and issue ad activity
- Build ad creative swipe files
- Collect ad copy, platforms, dates, countries, and snapshot URLs
- Schedule recurring paid-media monitoring through Apify API

### Requirements

This Actor uses Meta's official Ad Library API. You need a valid Meta access token with access to the Ad Library API. Some fields are only available for political/social issue ads or EU/UK transparency data.

### What you get

- Ad archive ID and snapshot URL
- Page name and page ID
- Creative body text, title, caption, and description
- Delivery start/stop dates
- Publisher platforms, including Facebook and Instagram when returned
- Reached countries
- Spend, impressions, and currency when Meta makes those fields available
- Raw API payload preserved for advanced workflows

### Input example

```json
{
  "accessToken": "YOUR_META_ACCESS_TOKEN",
  "searchTerms": ["nike", "crm software"],
  "countries": ["US"],
  "adType": "ALL",
  "activeStatus": "ALL",
  "maxAdsPerQuery": 100
}
```

### Page ID example

```json
{
  "accessToken": "YOUR_META_ACCESS_TOKEN",
  "pageIds": ["15087023444"],
  "countries": ["US", "GB"],
  "activeStatus": "ACTIVE",
  "maxAdsPerQuery": 200
}
```

### Recommended saved tasks

- Competitor Facebook ads monitor
- Active Instagram ads tracker
- Political and issue ads research
- Brand ad creative swipe file
- SaaS competitor ad intelligence

### Input reference

| Field | Description |
| --- | --- |
| `accessToken` | Secret Meta access token with Ad Library API access |
| `searchTerms` | Keywords or advertiser terms |
| `pageIds` | Facebook Page IDs for advertiser-specific searches |
| `countries` | Countries reached by the ads |
| `adType` | All ads or political and issue ads |
| `activeStatus` | All, active, or inactive ads |
| `maxAdsPerQuery` | Maximum ads returned for each term or Page ID |
| `dedupe` | Remove duplicate archive IDs across queries |

### Output structure

Each row represents an ad returned by Meta and can include its archive ID, advertiser Page, creative text, delivery dates, publishing platforms, countries, snapshot URL, spend range, impression range, currency, and the original Graph API payload. Availability depends on ad type and transparency rules.

### Run with the Apify API

```bash
curl -X POST \
  "https://api.apify.com/v2/acts/groupoject~meta-ads-library-monitor/runs?token=YOUR_APIFY_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{
    "accessToken":"YOUR_META_ACCESS_TOKEN",
    "searchTerms":["running shoes"],
    "countries":["US"],
    "activeStatus":"ACTIVE",
    "maxAdsPerQuery":100
  }'
```

### Competitor ad monitoring workflow

1. Find the advertiser's Facebook Page ID or choose a stable brand keyword.
2. Select the countries and active status relevant to the campaign.
3. Save the configuration as an Apify task.
4. Schedule the task daily or weekly.
5. Connect the resulting dataset to a warehouse, spreadsheet, webhook, or creative-analysis workflow.

### FAQ

#### Why is a Meta token required?

This Actor uses Meta's official Ad Library API. Meta controls access, permissions, rate limits, and the fields available to each token.

#### Does it return ad images and videos?

The dataset preserves creative and snapshot links returned by Meta. Direct media fields vary by API response and ad category.

#### Why are spend and impressions missing?

Meta exposes these transparency fields only for eligible ad categories and regions. The Actor does not invent unavailable values.

#### Is the token stored in output?

No. The input schema marks the token as secret, and it should never be included in datasets or logs.

Use the data in line with Meta's platform terms, applicable advertising rules, and privacy law.

# Actor input Schema

## `accessToken` (type: `string`):

Required. Meta Graph API access token with access to the Ad Library API.

## `searchTerms` (type: `array`):

Keywords to search in Meta Ad Library.

## `searchTermsText` (type: `string`):

Paste one search term per line or comma-separated.

## `pageIds` (type: `array`):

Optional Facebook page IDs to search by advertiser/page.

## `countries` (type: `array`):

Country codes passed to ad\_reached\_countries.

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

Meta ad\_type parameter. ALL is broad; POLITICAL\_AND\_ISSUE\_ADS exposes more transparency fields where available.

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

Meta ad\_active\_status parameter.

## `apiVersion` (type: `string`):

Meta Graph API version.

## `maxAdsPerQuery` (type: `integer`):

Maximum ads to fetch per search term or page ID.

## `maxQueries` (type: `integer`):

Maximum search terms/page IDs to process.

## `dedupe` (type: `boolean`):

Remove duplicate ad archive IDs across all queries.

## `requestDelayMs` (type: `integer`):

Delay between API requests.

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

Parallel API queries.

## `debugMode` (type: `boolean`):

Verbose logging.

## Actor input object example

```json
{
  "searchTerms": [
    "nike",
    "openai",
    "crm software"
  ],
  "countries": [
    "US"
  ],
  "adType": "ALL",
  "activeStatus": "ALL",
  "apiVersion": "v20.0",
  "maxAdsPerQuery": 100,
  "maxQueries": 100,
  "dedupe": true,
  "requestDelayMs": 500,
  "maxConcurrency": 2,
  "debugMode": false
}
```

# Actor output Schema

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

One row per ad from Meta Ad Library API.

## `adsByPage` (type: `string`):

Ads grouped by advertiser/page.

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

Totals, top pages, top platforms, and warnings.

## `errors` (type: `string`):

API queries that failed.

# 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 = {
    "searchTerms": [
        "nike",
        "openai",
        "crm software"
    ],
    "countries": [
        "US"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("groupoject/meta-ads-library-monitor").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 = {
    "searchTerms": [
        "nike",
        "openai",
        "crm software",
    ],
    "countries": ["US"],
}

# Run the Actor and wait for it to finish
run = client.actor("groupoject/meta-ads-library-monitor").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 '{
  "searchTerms": [
    "nike",
    "openai",
    "crm software"
  ],
  "countries": [
    "US"
  ]
}' |
apify call groupoject/meta-ads-library-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,groupoject/meta-ads-library-monitor"
        }
    }
}

```

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/iZUO1nWMW335EjLbL/builds/4VFXQsEeUVWOgNmVQ/openapi.json