# Facebook Ads Library Monitor (`vedder1980/facebook-ads-library-monitor`) Actor

Extract ad cards and changes from Facebook Ads Library style pages for competitive intelligence and marketing research.

- **URL**: https://apify.com/vedder1980/facebook-ads-library-monitor.md
- **Developed by:** [Daniel Ferreira de Almeida](https://apify.com/vedder1980) (community)
- **Categories:** Marketing, Automation
- **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.50 / 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/platform/actors/running/actors-in-store#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

## Facebook Ads Library Monitor

Extract ad cards from Ads Library style pages for competitive intelligence.

### What it does

This Actor processes public pages that expose ad cards and returns structured ad records with:

- advertiser
- ad id
- headline
- primary text
- CTA
- destination URL
- source page metadata
- optional raw HTML for debugging

### Best for

- creative monitoring
- competitor intelligence
- marketing research
- ad library watchlists

### Input

- `urls` — pages to inspect
- `html` — optional offline HTML fixture
- `htmlByUrl` — optional URL→HTML map
- `includeRawHtml` — include the original HTML in output
- `maxAdsPerPage` — cap per page

### Example input

```json
{
  "urls": ["https://facebook.com/ads/library"],
  "html": "<!doctype html><html><body><article data-ad-id=\"ad-1001\"><h3>Acme SaaS</h3><h2>Automate your pipeline</h2><p>Reach more customers with automation and lead scoring.</p><a href=\"https://acme.example/offer\">Learn More</a><button>Learn More</button></article></body></html>",
  "includeRawHtml": false,
  "maxAdsPerPage": 10
}
```

### Output

Each record contains a clean ad snapshot so teams can track creatives and compare messaging over time.

### Notes

- Designed for deterministic platform smoke tests with fixture HTML.
- Helpful for competitive monitoring and ad creative review.

# Actor input Schema

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

Ads Library pages or public HTML pages containing ad cards.

## `html` (type: `string`):

Optional HTML fixture for local validation or offline parsing.

## `includeRawHtml` (type: `boolean`):

Include the original HTML in the output.

## `maxAdsPerPage` (type: `integer`):

Maximum number of ad records extracted per page.

## Actor input object example

```json
{
  "includeRawHtml": false,
  "maxAdsPerPage": 50
}
```

# Actor output Schema

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

Extracted ad cards stored in the default dataset.

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("vedder1980/facebook-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 = {}

# Run the Actor and wait for it to finish
run = client.actor("vedder1980/facebook-ads-library-monitor").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call vedder1980/facebook-ads-library-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=vedder1980/facebook-ads-library-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/8nwjEclGrrE1HjOAH/builds/gHRQf6uGopCTQYkHZ/openapi.json
