# Meta Ads Library Scraper Pro — Ad Intelligence Tool (`aiscraperdev/meta-ads-library-scraper`) Actor Automate competitor research by scraping the Facebook Ads Library. Filter and extract videos, images, carousels, descriptions, and CTA links. Uses hardware-level scrolling to bypass anti-bot limits, seamlessly handling pagination to get your exact results without being blocked. - **URL**: https://apify.com/aiscraperdev/meta-ads-library-scraper.md - **Developed by:** [Randeep Dhillon](https://apify.com/aiscraperdev) (community) - **Categories:** Automation, Lead generation, Developer tools - **Stats:** 8 total users, 5 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $4.50 / 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 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 ### Meta Ad Library Scraper Pro - Instagram & Facebook Ads, Competitor Intelligence Extract competitor ads from Meta's Ad Library (Facebook, Instagram, Messenger, Audience Network). Search by keyword, brand name, or paste any Ad Library URL directly. No Meta account, cookies, or API key required. **Pricing: $0.004 per ad** | No coding required | Export to CSV, JSON, Excel --- #### What you can do with this scraper - **Competitor research** — see every ad your competitors are running right now - **Creative inspiration** — build a swipe file of winning image and video ads - **Dropshipping & ecommerce** — find trending products being heavily advertised - **Agency reporting** — pull client competitor data in minutes, not hours - **Market research** — track ad trends by keyword, country, or industry - **Lead generation** — identify brands actively spending on paid ads --- #### How to use **Step 1 — Add your search queries** The `Search Queries / URLs` field accepts three types of input (you can mix them): | Input type | Example | |---|---| | Keyword | `skincare`, `dropshipping`, `fitness app` | | Facebook Page URL | `https://www.facebook.com/nike` | | Ad Library URL | `https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=IN&q=example` | You can add multiple queries at once — the actor will scrape all of them in a single run. **Step 2 — Set your filters** | Filter | Options | Default | |---|---|---| | **Country** | Any 2-letter code: `US`, `IN`, `UK`, `ALL` | `ALL` | | **Ad Status** | All / Active / Inactive | `All` | | **Ad Type** | All / Political & Issue / Housing / Employment | `All` | | **Media Type** | All / Image / Video / Meme | `All` | | **Platform** | All / Facebook / Instagram / Messenger / Audience Network | `All` | | **Max Results** | Any number, or `-1` to scrape everything | `100` | **Step 3 — Run and export** Click **Start** and wait for the run to complete. Download your results in **JSON, CSV, or Excel**. --- #### Sample output ```json { "ad_id": "1555263375851429", "ad_format": "video", "ad_body_text": "Vintage and new Pokémon cards starting at $1 ⚡️", "ad_headline": "Live on Whatnot", "cta_text": "Install Now", "landing_page_url": "https://...", "image_url": "https://...", "video_url": "https://...", "page_name": "Whatnot", "page_country": "US", "ad_status": "Active", "ad_active_duration_days": 238, "start_date": "2025-01-15", "publisher_platforms": ["facebook", "instagram"] } ```` *** #### Input schema reference ```json { "searchQueries": ["nike", "https://www.facebook.com/adidas"], "countryCode": "US", "adStatus": "active", "adType": "all", "mediaType": "video", "platform": "instagram", "maxResults": 500 } ``` *** #### Who uses this - **Digital marketers** tracking competitor campaigns - **Dropshippers** validating winning products before investing in inventory - **Marketing agencies** building pitch decks and client reports - **Growth hackers** identifying high-spend advertisers in any niche - **Researchers** studying political and issue-based ad campaigns *** #### Pricing This actor uses **Pay-Per-Result** pricing — you only pay for ads actually scraped. **$4.00 per 1,000 ads** on the free plan. *** #### Tips for best results - Use **residential proxies** for maximum coverage — without proxies Meta limits results heavily - Set `adStatus` to `active` to focus only on currently running campaigns - Sort by impressions using an Ad Library URL to find the highest-performing ads first - Use `maxResults: -1` carefully — popular keywords can return thousands of ads *** #### Limitations - Spend and impressions data is only available for **EU/political/special category ads** — Meta does not expose this for standard commercial ads - Media URLs (images, videos) are **temporary CDN links** — download them promptly after scraping - Results may vary without proxy configuration *** #### Related scrapers - Facebook Page Scraper - Instagram Profile Scraper - TikTok Ads Scraper # Actor input Schema ## `searchQueries` (type: `array`): Keywords, Facebook Page URLs, or paste Ad Library URLs directly. ## `countryCode` (type: `string`): 2-letter country code (e.g., US, IN, ALL). ## `adStatus` (type: `string`): Filter ads by their current delivery status. ## `adType` (type: `string`): Filter by the type of ad campaign. ## `mediaType` (type: `string`): Filter by the type of media used in the ad. ## `platform` (type: `string`): Filter by the Meta platform where the ad is displayed. ## `maxResults` (type: `integer`): Maximum number of ads to scrape per query (-1 for all). ## Actor input object example ```json { "searchQueries": [ "all" ], "countryCode": "ALL", "adStatus": "all", "adType": "all", "mediaType": "all", "platform": "all", "maxResults": 100 } ``` # Actor output Schema ## `results` (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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "searchQueries": [ "all" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aiscraperdev/meta-ads-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "searchQueries": ["all"] } # Run the Actor and wait for it to finish run = client.actor("aiscraperdev/meta-ads-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 '{ "searchQueries": [ "all" ] }' | apify call aiscraperdev/meta-ads-library-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aiscraperdev/meta-ads-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meta Ads Library Scraper Pro — Ad Intelligence Tool", "description": "Automate competitor research by scraping the Facebook Ads Library. Filter and extract videos, images, carousels, descriptions, and CTA links. Uses hardware-level scrolling to bypass anti-bot limits, seamlessly handling pagination to get your exact results without being blocked.", "version": "0.0", "x-build-id": "77x7DHyqVMZbH7b10" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aiscraperdev~meta-ads-library-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aiscraperdev-meta-ads-library-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aiscraperdev~meta-ads-library-scraper/runs": { "post": { "operationId": "runs-sync-aiscraperdev-meta-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aiscraperdev~meta-ads-library-scraper/run-sync": { "post": { "operationId": "run-sync-aiscraperdev-meta-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries / URLs", "type": "array", "description": "Keywords, Facebook Page URLs, or paste Ad Library URLs directly.", "items": { "type": "string" } }, "countryCode": { "title": "Country", "type": "string", "description": "2-letter country code (e.g., US, IN, ALL).", "default": "ALL" }, "adStatus": { "title": "Ad Status", "enum": [ "all", "active", "inactive" ], "type": "string", "description": "Filter ads by their current delivery status.", "default": "all" }, "adType": { "title": "Ad Type", "enum": [ "all", "political_and_issue_ads", "housing", "employment" ], "type": "string", "description": "Filter by the type of ad campaign.", "default": "all" }, "mediaType": { "title": "Media Type", "enum": [ "all", "image", "video", "meme" ], "type": "string", "description": "Filter by the type of media used in the ad.", "default": "all" }, "platform": { "title": "Platform", "enum": [ "all", "facebook", "instagram", "messenger", "audience_network" ], "type": "string", "description": "Filter by the Meta platform where the ad is displayed.", "default": "all" }, "maxResults": { "title": "Max Results", "type": "integer", "description": "Maximum number of ads to scrape per query (-1 for all).", "default": 100 } } }, "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 } } } } } } } } } } ```