# Meta Ads Library Scraper (`s-r/meta-ads-library`) Actor Scrape Facebook/Meta Ad Library for active ads by brand or page ID across any country — get creative content, images, videos, CTA, page metadata. - **URL**: https://apify.com/s-r/meta-ads-library.md - **Developed by:** [SR](https://apify.com/s-r) (community) - **Categories:** Social media - **Stats:** 3 total users, 2 monthly users, 33.3% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $1.00 / 1,000 ad scrapeds 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 ## Free Facebook Ad Library Scraper — Competitor Ad Spy The free Facebook Ad Library scraper. Get **every active Meta ad** for any brand or page across any country — full creative content, images, videos, CTA, and link data. No Facebook login required, no Marketing API access needed. Built for **competitor ad spy**, **ad creative analysis**, and **brand monitoring** workflows. ### What you get - Active ads with creative content (title, body, CTA, link description) - All images and videos (HD + SD URLs, preview images) - Page metadata (name, ID, profile picture, like count, IG followers) - Impressions and spend ranges where Meta discloses them (EU + political ads) - Page typeahead search (find page by brand name) - Cross-country coverage (NL, US, DE, FR, GB, …) - Direct page-ID lookup (skip the typeahead step) ### Why scrape the Facebook Ad Library Meta's Ad Library has no public API for ad creatives — only the Marketing API gets close, and it requires a Business Manager account, app review, and is gated to specific ad accounts you administer. To programmatically see your competitor's ads, you have to scrape the Ad Library web interface. This Actor handles the rotating tokens, the GraphQL doc IDs, the NDJSON-merge response parsing, and the rate-limiting backoff so you get clean structured JSON. ### Input | Field | Default | Description | |---|---|---| | `search` | — | Brand or page name (e.g. `coolblue`) | | `page_id` | — | Direct Facebook page ID — faster than typeahead | | `country` | `US` | ISO 2-letter country code | | `active_only` | true | Only return currently-active ads | One of `search` or `page_id` is required. ### Output (sample) ```json { "ad_id": "1234567890", "page_id": "100445001673131", "page_name": "Example Brand", "is_active": true, "display_format": "IMAGE", "title": "Example headline", "body_text": "Ad body copy…", "cta_text": "Shop Now", "cta_type": "SHOP_NOW", "link_url": "https://example.com", "images": ["https://scontent.xx.fbcdn.net/…"], "videos": [], "impressions_text": "1K-5K", "spend_text": "$500-$1000", "country": "NL" } ```` ### Use cases - **Competitor ad spy** across Facebook + Instagram - **Brand monitoring** — track creative refresh cadence - **Compliance auditing** — verify what partners / affiliates are running under your brand - **Cross-platform creative analysis** — pair with TikTok + LinkedIn + Google Ads Transparency scrapers for a full picture - **Ad creative inspiration** — bulk-pull competitor ads to brief your creative team ### Limits - Only currently active ads when `active_only=true` - Meta rate-limits aggressively — large advertisers may need slower runs - Impressions/spend disclosure varies by country (EU + political ads have more data than the rest of the world) ### Related Actors — Free Ad Spy Suite Pair this actor with the rest of the suite for full cross-platform competitor ad intelligence: - **[Free TikTok Ad Library Scraper](https://apify.com/s-r/tiktok-ads-library)** — TikTok competitor ads with video URLs and dates - **[Free LinkedIn Ad Library Scraper](https://apify.com/s-r/linkedin-ads-library)** — B2B ad spy across LinkedIn - **[Free Google Ads Transparency Scraper](https://apify.com/s-r/google-ads-transparency)** — every ad an advertiser ran on Google Search, YouTube, Display, Shopping Run all four on the same competitor and you have the complete picture of what they're advertising across every major surface. # Actor input Schema ## `search` (type: `string`): Brand or page name to search (e.g. "coolblue"). Either search or page\_id is required. ## `page_id` (type: `string`): Direct lookup by Facebook page ID (e.g. "100445001673131"). ## `country` (type: `string`): ISO country code (NL, DE, US, etc.). ## `active_only` (type: `boolean`): Filter to currently active ads only. ## Actor input object example ```json { "search": "nike", "country": "US", "active_only": true } ``` # 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 = { "search": "nike" }; // Run the Actor and wait for it to finish const run = await client.actor("s-r/meta-ads-library").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 = { "search": "nike" } # Run the Actor and wait for it to finish run = client.actor("s-r/meta-ads-library").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 '{ "search": "nike" }' | apify call s-r/meta-ads-library --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=s-r/meta-ads-library", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meta Ads Library Scraper", "description": "Scrape Facebook/Meta Ad Library for active ads by brand or page ID across any country — get creative content, images, videos, CTA, page metadata.", "version": "0.1", "x-build-id": "TxwDjoLyBc60anh8S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/s-r~meta-ads-library/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-s-r-meta-ads-library", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/s-r~meta-ads-library/runs": { "post": { "operationId": "runs-sync-s-r-meta-ads-library", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/s-r~meta-ads-library/run-sync": { "post": { "operationId": "run-sync-s-r-meta-ads-library", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "search": { "title": "Brand / page search", "type": "string", "description": "Brand or page name to search (e.g. \"coolblue\"). Either search or page_id is required." }, "page_id": { "title": "Facebook page ID", "type": "string", "description": "Direct lookup by Facebook page ID (e.g. \"100445001673131\")." }, "country": { "title": "Country", "pattern": "^[a-zA-Z]{2}$", "type": "string", "description": "ISO country code (NL, DE, US, etc.).", "default": "US" }, "active_only": { "title": "Active ads only", "type": "boolean", "description": "Filter to currently active ads only.", "default": true } } }, "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 } } } } } } } } } } ```