# Facebook Ad Library Scraper (`jobscrawler/facebook-ad-library-scraper`) Actor

Scrape ads from Facebook Ads Library search results and Facebook pages with zero null values and comprehensive data enrichment. Cost: $0.75 per 1K ads.

- **URL**: https://apify.com/jobscrawler/facebook-ad-library-scraper.md
- **Developed by:** [Jobs Scraper](https://apify.com/jobscrawler) (community)
- **Categories:** Developer tools, Social media, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 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/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 Ad Library Scraper

Scrape ads from Facebook Ads Library search results and Facebook pages with zero null values and comprehensive data enrichment.

### Features

- **Keyword & Page Search**: Search Facebook Ad Library by keywords or specific Facebook Page URLs.
- **Zero Null Enforced Output**: Automatically maps original raw data variations (snake\_case, nested snapshot objects) and replaces missing or null values with non-null defaults.
- **Rich Media & Ad Metadata**: Extracts ad copy, media URLs (images & videos), start/end dates, CTA destination URLs, spend ranges, impressions, and target demographics.
- **Dual Logging**: Automatically exports validated datasets to JSON and CSV formats while logging validation/runtime errors to log files.

### Extracted Data Schema

| Field Name | Type | Description |
| --- | --- | --- |
| `adArchiveID` | String | Unique Facebook Ad Archive ID |
| `pageId` | String | Facebook Page ID of advertiser |
| `pageName` | String | Advertiser / Page Name |
| `publisherPlatform` | Array | Platforms where ad runs (facebook, instagram, etc.) |
| `adCopy` | String | Ad creative caption / body text |
| `mediaUrls` | Array | List of image/video creative URLs |
| `mediaType` | String | Creative format (`Image` or `Video`) |
| `startDate` | String | Ad delivery start timestamp |
| `endDate` | String | Ad delivery stop timestamp or `Active / Ongoing` |
| `isActive` | Boolean | Whether ad is currently active |
| `ctaType` | String | Call to Action button label |
| `ctaDestinationUrl` | String | Landing page URL |
| `spend` | Object | Estimated ad spend range |
| `impressions` | Object | Estimated impressions range |
| `targetDemographics` | Array | Age, gender, and location targeting |

### Input Example

```json
{
  "searchTerms": ["ecommerce", "software"],
  "countryCode": "ALL",
  "maxAds": 50,
  "activeStatus": "active"
}
```

### How to Run Locally

```bash
npm start
```

Runs the actor locally, populates `storage/datasets/default/`, applies strict data quality validation, and writes cleaned outputs to `outputs/facebook-ad-library-scraper_success.json`.

# Actor input Schema

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

List of keywords to search in Facebook Ad Library

## `pageUrls` (type: `array`):

List of Facebook Page URLs to extract ads from

## `countryCode` (type: `string`):

2-letter country code (e.g. ALL, US, GB, IN)

## `maxAds` (type: `integer`):

Maximum number of ads to collect

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

Filter ads by active status

## Actor input object example

```json
{
  "searchTerms": [
    "ecommerce",
    "software"
  ],
  "countryCode": "ALL",
  "maxAds": 100,
  "activeStatus": "active"
}
```

# 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 = {
    "searchTerms": [
        "ecommerce",
        "software"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("jobscrawler/facebook-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 = { "searchTerms": [
        "ecommerce",
        "software",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("jobscrawler/facebook-ad-library-scraper").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 '{
  "searchTerms": [
    "ecommerce",
    "software"
  ]
}' |
apify call jobscrawler/facebook-ad-library-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/Ivu6PmmRXOdHMyybh/builds/VCoShTJJcd4h7qyaT/openapi.json