# Facebook & Meta Ads Library Scraper — Ad Intelligence Tool (`aiscraperdev/facebook-meta-ads-library-scraper`) Actor Scrape Facebook & Instagram ads by keyword, brand, or country. Extract ad copy, creatives, CTA, video URLs & advertiser data. No login required. - **URL**: https://apify.com/aiscraperdev/facebook-meta-ads-library-scraper.md - **Developed by:** [Randeep Dhillon](https://apify.com/aiscraperdev) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 5 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $3.00 / 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 Ads Library Scraper — Facebook & Instagram Ad Intelligence Extract structured ad data from the **Meta (Facebook & Instagram) Ads Library** at scale. Search by keyword, brand name, or paste any Ad Library URL directly. No Meta account, cookies, or API key required. --- #### 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. **$3.00 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/facebook-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/facebook-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/facebook-meta-ads-library-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aiscraperdev/facebook-meta-ads-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook & Meta Ads Library Scraper — Ad Intelligence Tool", "description": "Scrape Facebook & Instagram ads by keyword, brand, or country. Extract ad copy, creatives, CTA, video URLs & advertiser data. No login required.", "version": "0.0", "x-build-id": "Pvljijtqkd2bgO12s" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aiscraperdev~facebook-meta-ads-library-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aiscraperdev-facebook-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aiscraperdev~facebook-meta-ads-library-scraper/runs": { "post": { "operationId": "runs-sync-aiscraperdev-facebook-meta-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aiscraperdev~facebook-meta-ads-library-scraper/run-sync": { "post": { "operationId": "run-sync-aiscraperdev-facebook-meta-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```