# Facebook Ad Library Scraper (`rastriq/fb-adlibrary-scraper`) Actor
Scrapes ads from Facebook Ad Library. Select the brand and extract the historical ads.
- **URL**: https://apify.com/rastriq/fb-adlibrary-scraper.md
- **Developed by:** [Rastriq — Structured data from the world](https://apify.com/rastriq) (community)
- **Categories:** Social media, Marketing, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet
## Pricing
from $0.40 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.
In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md):
```bash
pip install apify-client
```
In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):
````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash
In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md).
If your project is in a different language, use 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
Extracts ads from **Facebook's public Ad Library** by intercepting internal GraphQL calls. No API key or Facebook login required.
> **Uses Playwright + residential proxy** to load the Ad Library page and capture GraphQL ad data. 4 GB memory recommended.
### What it does
Navigates to `facebook.com/ads/library` with your search query, scrolls to load more results, and intercepts the internal GraphQL responses that contain ad data.
### Two search modes
| Mode | Field | When to use |
|------|-------|-------------|
| **Domain search** | `domain` | You know the advertiser's website (e.g. `leroy-merlin.es`). More precise — uses exact-phrase matching. |
| **Keyword search** | `keyword` | You only know the brand name. Broader results. |
If both are set, `domain` takes priority.
### Output fields
| Field | Description |
|-------|-------------|
| `ad_archive_id` | Facebook ad archive ID (deduplication key) |
| `page_id` | Advertiser page ID |
| `page_name` | Advertiser page name |
| `page_url` | Advertiser page URL |
| `status` | `active` / `inactive` |
| `body` | Ad text content (max 600 chars) |
| `link_url` | Destination URL |
| `link_title` | Link card title |
| `start_date` | First shown date |
| `end_date` | Last shown date (null if still active) |
| `platforms` | Platforms (facebook, instagram, etc.) |
| `media_type` | `text` / `image` / `video` |
### Example input
```json
{
"domain": "leroymerlin.es",
"country": "ES",
"maxResults": 100
}
````
### Cost estimate
- **50 ads** (test): ~€0.10, ~1–2 minutes
- **200 ads**: ~€0.25, ~3–5 minutes
- **500 ads**: ~€0.50, ~8–12 minutes
Memory: **4096 MB** (Playwright required; Facebook runs heavy JS).
### Proxy
**Residential proxies are required** — Facebook blocks datacenter IPs systematically. The actor defaults to `RESIDENTIAL` proxy from Spain (matching the default country `ES`).
### Notes
- Facebook may show a cookie consent dialog; handled automatically
- Results depend on scroll depth: more `maxResults` = more scrolling = more time
- Deduplicates by `ad_archive_id`
- The Ad Library shows all active and recently inactive ads (last 7 years for political ads, 90 days for others)
### Legal
Accesses only **publicly visible** ad data — the same data available at facebook.com/ads/library without login. No personal user data is collected.
# Actor input Schema
## `domain` (type: `string`):
Advertiser domain to search (e.g. balmesvet.com). Uses exact-phrase match with search\_type=keyword\_exact\_phrase, much more precise than keyword search. Takes priority over keyword if both are set.
## `keyword` (type: `string`):
Advertiser name or keyword to search in the Facebook Ad Library. Use if you don't know the domain.
## `country` (type: `string`):
ISO country code for the Ad Library search.
## `maxResults` (type: `integer`):
Maximum ads to extract.
## `headless` (type: `boolean`):
Run browser in headless mode. Disable for debugging.
## `proxyConfiguration` (type: `object`):
Residential proxies strongly recommended — Facebook blocks datacenter IPs.
## Actor input object example
```json
{
"domain": "leroymerlin.es",
"keyword": "Leroy Merlin",
"country": "ES",
"maxResults": 10,
"headless": true,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "ES"
}
}
```
# Actor output Schema
## `dataset` (type: `string`):
Dataset with all scraped ads.
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"domain": "",
"keyword": "Leroy Merlin",
"maxResults": 10,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "ES"
}
};
// Run the Actor and wait for it to finish
const run = await client.actor("rastriq/fb-adlibrary-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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"domain": "",
"keyword": "Leroy Merlin",
"maxResults": 10,
"proxyConfiguration": {
"useApifyProxy": True,
"apifyProxyGroups": ["RESIDENTIAL"],
"apifyProxyCountry": "ES",
},
}
# Run the Actor and wait for it to finish
run = client.actor("rastriq/fb-adlibrary-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 '{
"domain": "",
"keyword": "Leroy Merlin",
"maxResults": 10,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "ES"
}
}' |
apify call rastriq/fb-adlibrary-scraper --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=rastriq/fb-adlibrary-scraper",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Facebook Ad Library Scraper",
"description": "Scrapes ads from Facebook Ad Library. Select the brand and extract the historical ads.",
"version": "0.1",
"x-build-id": "nawK8kildYelyrPD2"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/rastriq~fb-adlibrary-scraper/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-rastriq-fb-adlibrary-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/rastriq~fb-adlibrary-scraper/runs": {
"post": {
"operationId": "runs-sync-rastriq-fb-adlibrary-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/rastriq~fb-adlibrary-scraper/run-sync": {
"post": {
"operationId": "run-sync-rastriq-fb-adlibrary-scraper",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
}
},
"components": {
"schemas": {
"inputSchema": {
"type": "object",
"properties": {
"domain": {
"title": "🌐 Advertiser domain (exact-phrase search)",
"type": "string",
"description": "Advertiser domain to search (e.g. balmesvet.com). Uses exact-phrase match with search_type=keyword_exact_phrase, much more precise than keyword search. Takes priority over keyword if both are set."
},
"keyword": {
"title": "🔍 Search keyword (alternative)",
"type": "string",
"description": "Advertiser name or keyword to search in the Facebook Ad Library. Use if you don't know the domain."
},
"country": {
"title": "🗺️ Country",
"enum": [
"ES",
"US",
"FR",
"DE",
"IT",
"PT",
"GB",
"BR",
"MX",
"AR",
"CL",
"CO"
],
"type": "string",
"description": "ISO country code for the Ad Library search.",
"default": "ES"
},
"maxResults": {
"title": "🔢 Max results",
"minimum": 1,
"type": "integer",
"description": "Maximum ads to extract.",
"default": 10
},
"headless": {
"title": "🖥️ Headless mode",
"type": "boolean",
"description": "Run browser in headless mode. Disable for debugging.",
"default": true
},
"proxyConfiguration": {
"title": "🛡️ Proxy configuration",
"type": "object",
"description": "Residential proxies strongly recommended — Facebook blocks datacenter IPs."
}
}
},
"runsResponseSchema": {
"type": "object",
"properties": {
"data": {
"type": "object",
"properties": {
"id": {
"type": "string"
},
"actId": {
"type": "string"
},
"userId": {
"type": "string"
},
"startedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"finishedAt": {
"type": "string",
"format": "date-time",
"example": "2025-01-08T00:00:00.000Z"
},
"status": {
"type": "string",
"example": "READY"
},
"meta": {
"type": "object",
"properties": {
"origin": {
"type": "string",
"example": "API"
},
"userAgent": {
"type": "string"
}
}
},
"stats": {
"type": "object",
"properties": {
"inputBodyLen": {
"type": "integer",
"example": 2000
},
"rebootCount": {
"type": "integer",
"example": 0
},
"restartCount": {
"type": "integer",
"example": 0
},
"resurrectCount": {
"type": "integer",
"example": 0
},
"computeUnits": {
"type": "integer",
"example": 0
}
}
},
"options": {
"type": "object",
"properties": {
"build": {
"type": "string",
"example": "latest"
},
"timeoutSecs": {
"type": "integer",
"example": 300
},
"memoryMbytes": {
"type": "integer",
"example": 1024
},
"diskMbytes": {
"type": "integer",
"example": 2048
}
}
},
"buildId": {
"type": "string"
},
"defaultKeyValueStoreId": {
"type": "string"
},
"defaultDatasetId": {
"type": "string"
},
"defaultRequestQueueId": {
"type": "string"
},
"buildNumber": {
"type": "string",
"example": "1.0.0"
},
"containerUrl": {
"type": "string"
},
"usage": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "integer",
"example": 1
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
},
"usageTotalUsd": {
"type": "number",
"example": 0.00005
},
"usageUsd": {
"type": "object",
"properties": {
"ACTOR_COMPUTE_UNITS": {
"type": "integer",
"example": 0
},
"DATASET_READS": {
"type": "integer",
"example": 0
},
"DATASET_WRITES": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_READS": {
"type": "integer",
"example": 0
},
"KEY_VALUE_STORE_WRITES": {
"type": "number",
"example": 0.00005
},
"KEY_VALUE_STORE_LISTS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_READS": {
"type": "integer",
"example": 0
},
"REQUEST_QUEUE_WRITES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_INTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"DATA_TRANSFER_EXTERNAL_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
"type": "integer",
"example": 0
},
"PROXY_SERPS": {
"type": "integer",
"example": 0
}
}
}
}
}
}
}
}
}
}
```