# Facebook Ads Library Scraper (`khadinakbar/facebook-ads-library-scraper`) Actor Scrape public Meta/Facebook Ad Library ads by keyword, company page ID, company name, or ad ID. Extract advertiser, creative copy, CTA, landing page, media URLs, status, platforms, and run dates. Provider-backed, no Facebook login required. - **URL**: https://apify.com/khadinakbar/facebook-ads-library-scraper.md - **Developed by:** [Khadin Akbar](https://apify.com/khadinakbar) (community) - **Categories:** Social media, Lead generation, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $6.00 / 1,000 facebook ad scrapeds This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 Library Scraper Scrape public Meta/Facebook Ad Library ads by keyword, advertiser, or ad ID. The actor returns clean records for ad creative research, competitor monitoring, swipe-file building, and marketing intelligence workflows. This actor uses provider-backed public Ad Library APIs. No Facebook cookies, browser session, or Meta login is required. Configure at least one provider key as an Apify secret or environment variable: - `SCRAPECREATORS_API_KEY` - `SOCIAVAULT_API_KEY` Auto mode tries ScrapeCreators first and SociaVault second. ### What You Can Scrape - Ads by keyword or phrase - Ads for a company page ID - Ads for a company name, resolved through provider company search - Direct ad details by Meta Ad Library archive ID or URL - Active, inactive, or all ads - Image, video, meme, or all media types - Country, date range, language, and political/issue filters ### Output Fields Each dataset item includes: | Field | Description | | --- | --- | | `adId` | Meta Ad Library archive ID | | `adUrl` | Direct Facebook Ad Library URL | | `pageName`, `pageId`, `pageUrl` | Advertiser identity fields | | `headline`, `adCopy`, `bodyText` | Creative copy | | `ctaText`, `ctaType` | Call-to-action fields | | `landingPageUrl` | Destination URL when exposed | | `creativeImageUrls`, `creativeVideoUrls` | Creative media URLs | | `cards` | Carousel/card variants | | `isActive`, `startDate`, `endDate` | Run status and dates | | `publisherPlatforms` | Facebook, Instagram, Messenger, Audience Network, Threads | | `spend`, `impressionsText`, `reachEstimate` | Transparency metrics when exposed | | `provider`, `sourceMode`, `searchTerm` | Provenance and diagnostics | ### Example Inputs Keyword search: ```json { "mode": "search", "searchTerms": ["running shoes", "fitness app"], "country": "US", "status": "ACTIVE", "maxResults": 100 } ```` Company ads: ```json { "mode": "companyAds", "companyNames": ["lululemon"], "country": "ALL", "maxResults": 50 } ``` Ad details: ```json { "mode": "adDetails", "adIds": ["3557423444566854"], "includeRawData": false } ``` ### Pricing The actor is designed for pay-per-event pricing: - Actor start: `$0.00005` - Ad scraped: `$0.006` per saved ad - Detail enrichment: `$0.002` per detail endpoint call when `enrichDetails` is enabled Use `maxResults` as the main cost cap. ### Notes and Limits - Public ad-library data only. This actor does not access private targeting or logged-in Facebook data. - Provider APIs may expose spend, impressions, and reach only for eligible ad categories or regions. - `enrichDetails` can improve creative fields but uses additional provider credits. - If no provider key is configured, the actor exits cleanly with an `OUTPUT` summary explaining the setup step. # Actor input Schema ## `mode` (type: `string`): Choose how to find ads. Auto uses ad IDs first, then company inputs, then keyword search. ## `searchTerms` (type: `array`): Keywords or exact phrases to search in the Meta Ad Library. Use this for competitor research by niche, offer, product category, or campaign theme. ## `companyPageIds` (type: `array`): Facebook Ad Library page IDs. Use the page\_id returned by company search or provider docs examples. ## `companyNames` (type: `array`): Company names to resolve to Facebook Ad Library page IDs before scraping ads. Page IDs are more reliable when you have them. ## `adIds` (type: `array`): Meta Ad Library archive IDs for direct detail lookup. ## `adUrls` (type: `array`): Direct Facebook Ad Library URLs such as https://www.facebook.com/ads/library?id=3557423444566854. ## `country` (type: `string`): Two-letter country code such as US, GB, DE, or ALL. Meta Ad Library provider APIs accept one country per request. ## `status` (type: `string`): Whether to return active, inactive, or all ads. ## `mediaType` (type: `string`): Filter by creative media type exposed by the provider. ## `adType` (type: `string`): Search all ads or only political and issue ads. ## `searchType` (type: `string`): Use unordered keyword matching for broad discovery or exact phrase matching for precise research. ## `sortBy` (type: `string`): Sort keyword results by estimated impressions or recent relevance. ## `language` (type: `string`): Optional two-letter language code such as EN, ES, or FR. Mostly useful for company ads. ## `startDate` (type: `string`): Optional impression start date in YYYY-MM-DD format. ## `endDate` (type: `string`): Optional impression end date in YYYY-MM-DD format. ## `maxResults` (type: `integer`): Maximum number of ad records to save. This is the primary cost cap; each saved ad charges the ad-scraped event. ## `maxPagesPerSearch` (type: `integer`): Maximum provider result pages per keyword, page ID, or company. Increase for bulk monitoring; keep low for fast canaries. ## `enrichDetails` (type: `boolean`): When enabled, opens each ad details endpoint after discovery to enrich creative fields. This uses additional provider credits and charges the detail-enriched event. ## `includeRawData` (type: `boolean`): Debug option. Includes the raw provider payload on each dataset item. Leave disabled for normal runs to keep output small. ## `provider` (type: `string`): Provider selection. Auto tries ScrapeCreators first and SociaVault second. The actor uses only public ad-library provider APIs; no Facebook cookies are required. ## `requestTimeoutSecs` (type: `integer`): Per-provider request timeout in seconds. ## Actor input object example ```json { "mode": "auto", "searchTerms": [ "running shoes", "fitness app" ], "companyPageIds": [ "33693527731" ], "companyNames": [ "lululemon" ], "adIds": [ "3557423444566854" ], "adUrls": [ "https://www.facebook.com/ads/library?id=3557423444566854" ], "country": "US", "status": "ACTIVE", "mediaType": "ALL", "adType": "all", "searchType": "keyword_unordered", "sortBy": "total_impressions", "startDate": "2026-01-01", "endDate": "2026-06-08", "maxResults": 100, "maxPagesPerSearch": 10, "enrichDetails": false, "includeRawData": false, "provider": "auto", "requestTimeoutSecs": 30 } ``` # Actor output Schema ## `ads` (type: `string`): Dataset items containing advertisers, creative copy, media URLs, landing pages, status, dates, and provenance. ## `summary` (type: `string`): Run summary including savedCount, stopReason, provider diagnostics, billing counters, and cursor information. # 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 = { "searchTerms": [ "running shoes" ], "country": "US" }; // Run the Actor and wait for it to finish const run = await client.actor("khadinakbar/facebook-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 = { "searchTerms": ["running shoes"], "country": "US", } # Run the Actor and wait for it to finish run = client.actor("khadinakbar/facebook-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 '{ "searchTerms": [ "running shoes" ], "country": "US" }' | apify call khadinakbar/facebook-ads-library-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=khadinakbar/facebook-ads-library-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Ads Library Scraper", "description": "Scrape public Meta/Facebook Ad Library ads by keyword, company page ID, company name, or ad ID. Extract advertiser, creative copy, CTA, landing page, media URLs, status, platforms, and run dates. Provider-backed, no Facebook login required.", "version": "1.0", "x-build-id": "7c4GiuVYbMYuIecrw" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/khadinakbar~facebook-ads-library-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-khadinakbar-facebook-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/khadinakbar~facebook-ads-library-scraper/runs": { "post": { "operationId": "runs-sync-khadinakbar-facebook-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/khadinakbar~facebook-ads-library-scraper/run-sync": { "post": { "operationId": "run-sync-khadinakbar-facebook-ads-library-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "mode": { "title": "Scrape mode", "enum": [ "auto", "search", "companyAds", "adDetails" ], "type": "string", "description": "Choose how to find ads. Auto uses ad IDs first, then company inputs, then keyword search.", "default": "auto" }, "searchTerms": { "title": "Search terms", "type": "array", "description": "Keywords or exact phrases to search in the Meta Ad Library. Use this for competitor research by niche, offer, product category, or campaign theme.", "items": { "type": "string" } }, "companyPageIds": { "title": "Company page IDs", "type": "array", "description": "Facebook Ad Library page IDs. Use the page_id returned by company search or provider docs examples.", "items": { "type": "string" } }, "companyNames": { "title": "Company names", "type": "array", "description": "Company names to resolve to Facebook Ad Library page IDs before scraping ads. Page IDs are more reliable when you have them.", "items": { "type": "string" } }, "adIds": { "title": "Ad IDs", "type": "array", "description": "Meta Ad Library archive IDs for direct detail lookup.", "items": { "type": "string" } }, "adUrls": { "title": "Ad URLs", "type": "array", "description": "Direct Facebook Ad Library URLs such as https://www.facebook.com/ads/library?id=3557423444566854.", "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code such as US, GB, DE, or ALL. Meta Ad Library provider APIs accept one country per request.", "default": "ALL" }, "status": { "title": "Ad status", "enum": [ "ACTIVE", "INACTIVE", "ALL" ], "type": "string", "description": "Whether to return active, inactive, or all ads.", "default": "ACTIVE" }, "mediaType": { "title": "Media type", "enum": [ "ALL", "IMAGE", "VIDEO", "MEME", "IMAGE_AND_MEME", "NONE" ], "type": "string", "description": "Filter by creative media type exposed by the provider.", "default": "ALL" }, "adType": { "title": "Ad type", "enum": [ "all", "political_and_issue_ads" ], "type": "string", "description": "Search all ads or only political and issue ads.", "default": "all" }, "searchType": { "title": "Keyword match", "enum": [ "keyword_unordered", "keyword_exact_phrase" ], "type": "string", "description": "Use unordered keyword matching for broad discovery or exact phrase matching for precise research.", "default": "keyword_unordered" }, "sortBy": { "title": "Sort by", "enum": [ "total_impressions", "relevancy_monthly_grouped" ], "type": "string", "description": "Sort keyword results by estimated impressions or recent relevance.", "default": "total_impressions" }, "language": { "title": "Language", "type": "string", "description": "Optional two-letter language code such as EN, ES, or FR. Mostly useful for company ads." }, "startDate": { "title": "Start date", "type": "string", "description": "Optional impression start date in YYYY-MM-DD format." }, "endDate": { "title": "End date", "type": "string", "description": "Optional impression end date in YYYY-MM-DD format." }, "maxResults": { "title": "Max ads", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of ad records to save. This is the primary cost cap; each saved ad charges the ad-scraped event.", "default": 100 }, "maxPagesPerSearch": { "title": "Max pages per target", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum provider result pages per keyword, page ID, or company. Increase for bulk monitoring; keep low for fast canaries.", "default": 10 }, "enrichDetails": { "title": "Fetch ad details", "type": "boolean", "description": "When enabled, opens each ad details endpoint after discovery to enrich creative fields. This uses additional provider credits and charges the detail-enriched event.", "default": false }, "includeRawData": { "title": "Include raw data", "type": "boolean", "description": "Debug option. Includes the raw provider payload on each dataset item. Leave disabled for normal runs to keep output small.", "default": false }, "provider": { "title": "Provider", "enum": [ "auto", "scrapeCreators", "sociaVault" ], "type": "string", "description": "Provider selection. Auto tries ScrapeCreators first and SociaVault second. The actor uses only public ad-library provider APIs; no Facebook cookies are required.", "default": "auto" }, "requestTimeoutSecs": { "title": "Request timeout", "minimum": 5, "maximum": 120, "type": "integer", "description": "Per-provider request timeout in seconds.", "default": 30 } } }, "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 } } } } } } } } } } ```