# Facebook Ad Library Scraper (`seemuapps/facebook-ad-library-scraper`) Actor Scrape every active and inactive Facebook and Instagram ad for any advertiser Page or keyword creative, copy, run dates, platforms, and EU reach. - **URL**: https://apify.com/seemuapps/facebook-ad-library-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** E-commerce, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 1,000 ad 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 Pull every active and inactive Facebook and Instagram ad an advertiser is running — creative, copy, run dates, targeted platforms, EU reach, and direct image and video URLs. Search by **advertiser Page** or **keyword**, and export the full ad library to JSON, CSV, or Excel. ### What you get For every ad, the dataset returns: - **adArchiveId** — Meta's stable archive ID for the ad creative - **adId** — internal ad delivery ID when available - **pageId** / **pageName** — the advertiser Page running the ad - **pageProfilePictureUrl** — current avatar of the Page - **pageCategories** — Page categories (e.g. `Retail company`, `Beauty brand`) - **isActive** — true if the ad is still in delivery - **startDate** / **endDate** — ISO timestamps; `endDate` is null while still active - **publisherPlatforms** — `FACEBOOK`, `INSTAGRAM`, `MESSENGER`, `AUDIENCE_NETWORK` - **bodyText** — primary ad copy - **ctaText** / **ctaType** — call-to-action button text and type (e.g. `Shop Now` / `SHOP_NOW`) - **linkUrl** — destination URL of the ad - **linkDescription**, **title**, **caption** — additional headline / display URL fields - **images** — full-size image URLs (carousels return every card) - **videos** — `{ url, preview }` pairs for every video creative variant - **euTotalReach** — EU-wide reach (EU ads only, null elsewhere) - **euSpendRange** — lower/upper spend bounds with currency (EU ads only) - **snapshotUrl** — permalink to the ad inside the Meta Ad Library - **scrapedAt** — ISO timestamp of scrape ### Use cases - **Competitor ad intelligence** — monitor every Facebook and Instagram ad your competitors are running, including creative and copy - **Ad creative research** — pull a brand's entire ad library to study hooks, formats, and visual direction - **Affiliate and partner compliance** — audit affiliates running paid traffic on your brand or trademark - **Influencer and merchant vetting** — verify advertiser identity and ad volume before partnerships - **Political and issue ad monitoring** — track spend, reach, and creative across electoral and social issue advertisers - **Market and trend research** — see how brands roll out launches and seasonal campaigns over time - **Brand safety monitoring** — surface unauthorized advertisers using your brand name or domain ### How to use 1. Pick **Search Type** — `By Advertiser Page` (paste a Facebook Page URL or numeric Page ID) or `By Keyword` 2. Enter the **Page URL / Page ID / Keyword** — e.g. `https://www.facebook.com/nike`, `15087023444`, or `running shoes` 3. Pick a **Country** — 2-letter ISO code (`US`, `GB`, `DE`, `AU`, ...) or `ALL` for worldwide 4. Filter by **Ad Status** (`All`, `Active only`, `Inactive only`) 5. Filter by **Ad Category** (`All`, `Political & social issue`, `Housing`, `Employment`, `Credit`) 6. Set **Max Items** — default 200, or `0` for unlimited (auto-paginates until exhausted or the run times out) 7. Run the actor — results stream into the **Dataset** tab. Download as JSON, CSV, or Excel. ### Pagination across runs A single run pulls up to your **Max Items** in one go. For very large advertisers (Nike, Shein, election campaigns), set `maxItems` to `0` and let the actor auto-paginate until it times out — the cursor is saved automatically. After the run finishes, open the **Key-value store** tab → copy the `NEXT_PAGE_ID` value → paste it into **Page ID** on the next run to resume. If `NEXT_PAGE_ID` is `null`, you've fetched everything. ### Search types - **By Advertiser Page** — paste a full Facebook Page URL (`https://www.facebook.com/nike`), a username (`nike`), or a numeric Page ID (`15087023444`). Usernames are resolved to the numeric Page ID automatically. Returns every ad that Page has run. - **By Keyword** — full-text search across active and inactive ads. Useful when you don't know the exact Page (e.g. `crypto presale`, `mounjaro alternative`). ### Country filter Country filtering is applied at the Meta API level. Setting a specific country (`US`, `GB`, `DE`, ...) returns ads targeted to people in that country. Setting `ALL` returns ads from every country — useful for finding ads that ran globally or for political / issue ads where region matters less than topic. ### Sample output ```json { "adArchiveId": "1234567890123456", "adId": null, "pageId": "15087023444", "pageName": "Nike", "pageProfilePictureUrl": "https://scontent.xx.fbcdn.net/...", "pageCategories": ["Sportswear store"], "isActive": true, "startDate": "2026-04-12T00:00:00.000Z", "endDate": null, "publisherPlatforms": ["FACEBOOK", "INSTAGRAM"], "bodyText": "New Vomero 18 — Run softer, run longer.", "ctaText": "Shop Now", "ctaType": "SHOP_NOW", "linkUrl": "https://www.nike.com/launch/vomero-18", "linkDescription": "nike.com", "title": null, "caption": "nike.com", "images": ["https://scontent.xx.fbcdn.net/...jpg"], "videos": [], "euTotalReach": null, "euSpendRange": null, "snapshotUrl": "https://www.facebook.com/ads/library/?id=1234567890123456", "scrapedAt": "2026-05-20T13:01:22.901Z" } ```` # Actor input Schema ## `searchType` (type: `string`): Search ads from a specific advertiser Page (paste Page URL or numeric Page ID) or by keyword. ## `query` (type: `string`): If searchType=page: Facebook Page URL or numeric Page ID. If searchType=keyword: search text. ## `country` (type: `string`): Two-letter country code (e.g. US, GB, AU) or ALL. Filters ads to those targeting that country. ## `adActiveStatus` (type: `string`): Filter ads by whether they are currently running. ## `adType` (type: `string`): Restrict results to a specific Ad Library category. 'All' returns every ad type. ## `maxItems` (type: `integer`): 0 = unlimited (until exhausted or actor times out) ## `pageId` (type: `string`): Paste NEXT\_PAGE\_ID from the previous run's Key-value store to fetch the next page. ## Actor input object example ```json { "searchType": "page", "query": "https://www.facebook.com/nike", "country": "ALL", "adActiveStatus": "all", "adType": "all", "maxItems": 200 } ``` # Actor output Schema ## `results` (type: `string`): One ad per record. Fields: adArchiveId, adId, pageId, pageName, pageProfilePictureUrl, pageCategories, isActive, startDate, endDate, publisherPlatforms, bodyText, ctaText, ctaType, linkUrl, linkDescription, title, caption, images, videos, euTotalReach, euSpendRange, snapshotUrl, scrapedAt. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the list is exhausted. # 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 = { "query": "https://www.facebook.com/nike" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/facebook-ad-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 = { "query": "https://www.facebook.com/nike" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/facebook-ad-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 '{ "query": "https://www.facebook.com/nike" }' | apify call seemuapps/facebook-ad-library-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/facebook-ad-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Ad Library Scraper", "description": "Scrape every active and inactive Facebook and Instagram ad for any advertiser Page or keyword creative, copy, run dates, platforms, and EU reach.", "version": "1.0", "x-build-id": "xPRqUAwUJlRETqmY6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~facebook-ad-library-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-facebook-ad-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~facebook-ad-library-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-facebook-ad-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~facebook-ad-library-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-facebook-ad-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "searchType": { "title": "Search Type", "enum": [ "page", "keyword" ], "type": "string", "description": "Search ads from a specific advertiser Page (paste Page URL or numeric Page ID) or by keyword.", "default": "page" }, "query": { "title": "Page URL / Page ID / Keyword", "type": "string", "description": "If searchType=page: Facebook Page URL or numeric Page ID. If searchType=keyword: search text." }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code (e.g. US, GB, AU) or ALL. Filters ads to those targeting that country.", "default": "ALL" }, "adActiveStatus": { "title": "Ad Status", "enum": [ "all", "active", "inactive" ], "type": "string", "description": "Filter ads by whether they are currently running.", "default": "all" }, "adType": { "title": "Ad Category", "enum": [ "all", "political_and_issue_ads", "housing_ads", "employment_ads", "credit_ads" ], "type": "string", "description": "Restrict results to a specific Ad Library category. 'All' returns every ad type.", "default": "all" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "0 = unlimited (until exhausted or actor times out)", "default": 200 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page." } } }, "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 } } } } } } } } } } ```