# Facebook Ads Scraper Pro (`crawlerbros/facebook-ads-scraper-pro`) Actor Extract Facebook ads data from the Ad Library. Search by keywords or page names, filter by country, status, ad type, and media type. Get ad text, page info, media URLs, dates, CTA buttons, landing page links, and more — no login required. - **URL**: https://apify.com/crawlerbros/facebook-ads-scraper-pro.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Developer tools, Other, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 18 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 Ads Scraper Pro Extract ads from the [Facebook Ad Library](https://www.facebook.com/ads/library/) without cookies or authentication. ### Features - Search by keywords or page names - Filter by country, ad status, ad type, and media type - Extracts ad text, page info, media URLs, dates, platforms, and more - No login or cookies required - Residential proxy support for best results ### Input | Field | Type | Description | Default | |-------|------|-------------|---------| | `searchTerms` | array | Keywords or page names to search | (required) | | `country` | string | Country code (e.g., "US", "GB") or "ALL" | "ALL" | | `adActiveStatus` | string | "all", "active", or "inactive" | "active" | | `adType` | string | "all", "political_and_issue_ads", "housing", "employment", "credit" | "all" | | `mediaType` | string | "all", "image", "video", "meme", "none" | "all" | | `resultsPerSearch` | integer | Max ads per search term (1-500) | 50 | | `proxyConfiguration` | object | Proxy settings (residential recommended) | Apify residential | ### Output Each ad in the dataset contains: | Field | Description | |-------|-------------| | `ad_id` | Unique Facebook ad archive ID | | `page_name` | Name of the Facebook page running the ad | | `page_id` | Facebook page ID | | `ad_text` | Ad creative text/copy | | `ad_snapshot_url` | URL to view the ad in Facebook Ad Library | | `start_date` | When the ad started running | | `end_date` | When the ad stopped (if inactive) | | `status` | Active or inactive | | `platforms` | Platforms where the ad runs (Facebook, Instagram, etc.) | | `media_type` | Type of media (image, video, none) | | `media_url` | URL to the ad media | | `cta_text` | Call-to-action button text | | `link_url` | Destination URL of the ad | | `search_term` | The search term that found this ad | | `scraped_at` | Timestamp when the data was scraped | ### Example Input ```json { "searchTerms": ["nike", "adidas"], "country": "US", "adActiveStatus": "active", "resultsPerSearch": 20 } ```` # Actor input Schema ## `searchTerms` (type: `array`): Keywords or page names to search for in the Facebook Ad Library. Each term will be searched separately. ## `country` (type: `string`): Country to filter ads by. Use 'ALL' for all countries, or a 2-letter country code (e.g., 'US', 'GB', 'DE'). ## `adActiveStatus` (type: `string`): Filter by ad active status. ## `adType` (type: `string`): Filter by ad category type. ## `mediaType` (type: `string`): Filter by media type in the ad. ## `resultsPerSearch` (type: `integer`): Maximum number of ads to extract per search term. ## `proxyConfiguration` (type: `object`): Required — Facebook blocks ad data from data center IPs. Use residential proxy for best results. ## Actor input object example ```json { "searchTerms": [ "coffee" ], "country": "ALL", "adActiveStatus": "active", "adType": "all", "mediaType": "all", "resultsPerSearch": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `ads` (type: `string`): Dataset containing all scraped Facebook ads with metadata # 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 = { "searchTerms": [ "coffee" ], "resultsPerSearch": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/facebook-ads-scraper-pro").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 = { "searchTerms": ["coffee"], "resultsPerSearch": 5, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/facebook-ads-scraper-pro").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": [ "coffee" ], "resultsPerSearch": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call crawlerbros/facebook-ads-scraper-pro --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/facebook-ads-scraper-pro", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Ads Scraper Pro", "description": "Extract Facebook ads data from the Ad Library. Search by keywords or page names, filter by country, status, ad type, and media type. Get ad text, page info, media URLs, dates, CTA buttons, landing page links, and more — no login required.", "version": "1.0", "x-build-id": "rtTdlegfALrABPjQh" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~facebook-ads-scraper-pro/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-facebook-ads-scraper-pro", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~facebook-ads-scraper-pro/runs": { "post": { "operationId": "runs-sync-crawlerbros-facebook-ads-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~facebook-ads-scraper-pro/run-sync": { "post": { "operationId": "run-sync-crawlerbros-facebook-ads-scraper-pro", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchTerms", "proxyConfiguration" ], "properties": { "searchTerms": { "title": "Search Terms", "minItems": 1, "type": "array", "description": "Keywords or page names to search for in the Facebook Ad Library. Each term will be searched separately.", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Country to filter ads by. Use 'ALL' for all countries, or a 2-letter country code (e.g., 'US', 'GB', 'DE').", "default": "ALL" }, "adActiveStatus": { "title": "Ad Status", "enum": [ "all", "active", "inactive" ], "type": "string", "description": "Filter by ad active status.", "default": "active" }, "adType": { "title": "Ad Type", "enum": [ "all", "political_and_issue_ads", "housing", "employment", "credit" ], "type": "string", "description": "Filter by ad category type.", "default": "all" }, "mediaType": { "title": "Media Type", "enum": [ "all", "image", "video", "meme", "none" ], "type": "string", "description": "Filter by media type in the ad.", "default": "all" }, "resultsPerSearch": { "title": "Results Per Search Term", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of ads to extract per search term.", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Required — Facebook blocks ad data from data center IPs. Use residential proxy for best results." } } }, "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 } } } } } } } } } } ```