# Facebook Ads Scraper — Full Ad Data & Page Intel (`good-apis/facebook-ads-scraper`) Actor Scrape Meta Ad Library: search ads by page or keyword and get full ad creative, spend, page metadata, and 32-field page intelligence. $0.75 per 1,000 ads. - **URL**: https://apify.com/good-apis/facebook-ads-scraper.md - **Developed by:** [Danny](https://apify.com/good-apis) (community) - **Categories:** Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 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 ## Facebook Ads Scraper Scrape Meta's Ad Library for complete ad data — creative, audience reach, page intelligence, spend, and more. ### Features - **Search** — Find ads by page slug or keyword across any country - **Complete ad data** — Every search result includes full details: creative, images, videos, audience reach, spend, page metadata - **47-field output** — The richest Facebook Ads data available on Apify - **Page intelligence** — 32-field page profiles: about text, verification status, entity type, category, cover photo, and more - **Audience reach** — Total reach, demographic breakdown by age/gender/region (where available) - **Full ad creative** — body, title, images, videos, carousel cards, CTA, display format - **Spend & impressions** — with upper/lower bounds - **Publisher platforms** — Facebook, Instagram, Messenger, Audience Network ### Pricing **$0.75 per 1,000 ads** (Pay Per Event) — you only pay for ads delivered. ### Actions #### `search` — Search Ad Library Search for ads by Facebook page slug or keyword. Each result includes complete ad data with creative, spend, audience reach, and page intelligence. **Required input:** - `slug` — Page slug or search keyword (e.g. "hubspot", "medvi", "weight loss") **Optional input:** - `country` — Country code (default: "US"). Examples: US, FR, GB, DE - `max_ads` — Maximum number of ads to return (default: 150, max: 15000). Pagination stops as soon as this is reached, so you only pay for what you ask for. - `active_only` — Only return active ads (default: false) #### `detail` — Single Ad Lookup Get complete data for a single ad by archive ID. **Required input:** - `ad_archive_id` — The ad archive ID (from search results) - `page_id` — The Facebook page ID (from search results) **Optional input:** - `country` — Country code (default: "US") ### Example Input #### Search ```json { "action": "search", "slug": "hubspot", "country": "US", "max_ads": 100, "active_only": true } ```` #### Detail ```json { "action": "detail", "ad_archive_id": "1617980282547010", "page_id": "108624140548097", "country": "US" } ``` ### Example Output #### Search result (one ad) ```json { "library_id": "1617980282547010", "page_id": "108624140548097", "page_name": "HubSpot", "page_likes": 1250000, "page_category": "Software", "page_about": "HubSpot is a CRM platform with all the software...", "page_verification": "blue_verified", "page_cover_photo": "https://...", "entity_type": "PERSON_PROFILE", "is_political_page": false, "ad_body": "Grow better with HubSpot...", "ad_title": "Free CRM Software", "cta_text": "Learn more", "images": ["https://..."], "cards": [{"body": "...", "title": "..."}], "start_date": "2026-02-06", "is_active": true, "publisher_platforms": ["facebook", "instagram"], "spend": {"lower_bound": "100", "upper_bound": "499", "currency": "USD"}, "impressions": {"lower_bound": "10000", "upper_bound": "14999"}, "reach_estimate": 756, "targeted_countries": ["US"], "collation_count": 4, "display_format": "DCO" } ``` ### Notes - Use `max_ads` to cap how many ads are returned (and how much you pay). - Each ad in search results comes with full details. - Requests may take 30-60 seconds. - Audience reach data availability depends on ad type and region. - Some ads may not have spend/impressions data. # Actor input Schema ## `slug` (type: `string`): Facebook page slug or search keyword (e.g. 'hubspot', 'Atlassian', 'medvi'). ## `country` (type: `string`): Country code for Ad Library queries (US, FR, GB, DE, etc.) ## `max_ads` (type: `integer`): Maximum number of ads to return. Pagination stops as soon as this is reached. Default 30, max 15000. ## `active_only` (type: `boolean`): Only return currently active ads. ## Actor input object example ```json { "slug": "hubspot", "country": "US", "max_ads": 30, "active_only": false } ``` # 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 = { "slug": "hubspot" }; // Run the Actor and wait for it to finish const run = await client.actor("good-apis/facebook-ads-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 = { "slug": "hubspot" } # Run the Actor and wait for it to finish run = client.actor("good-apis/facebook-ads-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 '{ "slug": "hubspot" }' | apify call good-apis/facebook-ads-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=good-apis/facebook-ads-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Ads Scraper — Full Ad Data & Page Intel", "description": "Scrape Meta Ad Library: search ads by page or keyword and get full ad creative, spend, page metadata, and 32-field page intelligence. $0.75 per 1,000 ads.", "version": "1.0", "x-build-id": "DKKyhSK5tCrLNra8Z" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/good-apis~facebook-ads-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-good-apis-facebook-ads-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/good-apis~facebook-ads-scraper/runs": { "post": { "operationId": "runs-sync-good-apis-facebook-ads-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/good-apis~facebook-ads-scraper/run-sync": { "post": { "operationId": "run-sync-good-apis-facebook-ads-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": [ "slug" ], "properties": { "slug": { "title": "Page Slug or Keyword", "type": "string", "description": "Facebook page slug or search keyword (e.g. 'hubspot', 'Atlassian', 'medvi')." }, "country": { "title": "Country", "type": "string", "description": "Country code for Ad Library queries (US, FR, GB, DE, etc.)", "default": "US" }, "max_ads": { "title": "Max Ads", "minimum": 1, "maximum": 15000, "type": "integer", "description": "Maximum number of ads to return. Pagination stops as soon as this is reached. Default 30, max 15000.", "default": 30 }, "active_only": { "title": "Active Ads Only", "type": "boolean", "description": "Only return currently active ads.", "default": false } } }, "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 } } } } } } } } } } ```