# Meta Ads Library Scraper & Monitor (`glowing_glove/meta-ads-library-monitor`) Actor Capture public Meta Ads Library results by keyword or URL with advertiser names, ad text, status, dates, platforms, and source links. - **URL**: https://apify.com/glowing\_glove/meta-ads-library-monitor.md - **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community) - **Categories:** Automation, Developer tools - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $15.00 / 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 ## Meta Ads Library Scraper & Monitor Capture public Meta Ads Library results by keyword or URL with advertiser names, ad text, status, dates, platforms, and source links. This Ushba actor is prepared for clean exports, predictable limits, and scheduled workflows. It focuses on useful rows instead of noisy scrape artifacts. ### What You Get - ad IDs, advertiser/page names, active status, start dates, platform signals, and ad text - direct Meta Ads Library URLs for each saved ad - optional monitoring snapshots and change rows for scheduled brand or keyword tracking ### Best For - lead generation, research, monitoring, enrichment, and reporting workflows - exporting clean rows to CSV, Excel, JSON, APIs, CRMs, or automation tools - scheduled runs where predictable output and clear result limits matter ### How To Use 1. Add the public URLs, keywords, locations, handles, or settings required by the input form. 2. Set the result limit to match the number of rows you want to pay for. 3. Run the actor once for a sample, then schedule it if you need monitoring. 4. Export the dataset or connect it to your workflow through the Apify API or integrations. ### Output The default dataset returns structured rows using the fields listed above. Empty, blocked, or failed targets are handled clearly so downstream tools can filter results without guessing. ### Notes - Works with public data that the target website exposes during the run. - Uses result caps and error handling to avoid runaway runs. - Private, login-only, or heavily blocked pages may return fewer rows than requested. # Actor input Schema ## `searchQueries` (type: `array`): Keywords or brand names to search in the public Meta Ads Library. Add multiple queries to collect more total rows in one run. ## `adLibraryUrls` (type: `array`): Optional full Meta Ads Library URLs. Use this for advanced filters configured in the Ads Library UI. ## `country` (type: `string`): Two-letter country code used for keyword searches. ## `activeStatus` (type: `string`): Which ads to search for. ## `maxResults` (type: `integer`): Maximum ad rows to write across all sources. Meta currently exposes about 18-29 ads per search in Apify cloud, so use multiple queries or Ad Library URLs for larger runs. ## `monitorChanges` (type: `boolean`): Save snapshots in a named key-value store and compare ad IDs across scheduled runs. ## `onlyChanges` (type: `boolean`): When monitoring is enabled, output only new or changed ad rows. ## `proxyMode` (type: `string`): Use no proxy for lowest cost. Choose Auto or proxy modes only if Meta blocks direct access. ## `proxyCountryCode` (type: `string`): Optional two-letter country code for residential proxy. Used only when Proxy mode is Residential. ## `includeRawText` (type: `boolean`): Include the raw text block used for parsing each ad row. ## `maxRunMinutes` (type: `integer`): Cost protection timeout for the whole run. The Actor stops early instead of waiting forever when Meta stalls or blocks loading. ## `maxSourceSeconds` (type: `integer`): Cost protection timeout per search query or Ad Library URL. Lower values reduce risk and cost; higher values may collect more rows on slow pages. ## Actor input object example ```json { "searchQueries": [ "nike", "adidas", "puma", "reebok" ], "adLibraryUrls": [ "https://www.facebook.com/ads/library/?active_status=active&ad_type=all&country=US&q=nike&search_type=keyword_unordered" ], "country": "US", "activeStatus": "active", "maxResults": 100, "monitorChanges": false, "onlyChanges": false, "proxyMode": "none", "proxyCountryCode": "", "includeRawText": true, "maxRunMinutes": 8, "maxSourceSeconds": 120 } ```` # Actor output Schema ## `results` (type: `string`): Normal runs contain ad rows. When Output only the changes is enabled, rows contain change events. # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("glowing_glove/meta-ads-library-monitor").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 = {} # Run the Actor and wait for it to finish run = client.actor("glowing_glove/meta-ads-library-monitor").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 '{}' | apify call glowing_glove/meta-ads-library-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=glowing_glove/meta-ads-library-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meta Ads Library Scraper & Monitor", "description": "Capture public Meta Ads Library results by keyword or URL with advertiser names, ad text, status, dates, platforms, and source links.", "version": "0.0", "x-build-id": "0IegPlJj2SJgruz8B" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/glowing_glove~meta-ads-library-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-glowing_glove-meta-ads-library-monitor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/glowing_glove~meta-ads-library-monitor/runs": { "post": { "operationId": "runs-sync-glowing_glove-meta-ads-library-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/glowing_glove~meta-ads-library-monitor/run-sync": { "post": { "operationId": "run-sync-glowing_glove-meta-ads-library-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search queries", "type": "array", "description": "Keywords or brand names to search in the public Meta Ads Library. Add multiple queries to collect more total rows in one run.", "default": [ "nike", "adidas", "puma", "reebok" ], "items": { "type": "string" } }, "adLibraryUrls": { "title": "Ad Library URLs", "type": "array", "description": "Optional full Meta Ads Library URLs. Use this for advanced filters configured in the Ads Library UI.", "default": [], "items": { "type": "string" } }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code used for keyword searches.", "default": "US" }, "activeStatus": { "title": "Ad status", "enum": [ "active", "inactive", "all" ], "type": "string", "description": "Which ads to search for.", "default": "active" }, "maxResults": { "title": "Max ads", "minimum": 1, "type": "integer", "description": "Maximum ad rows to write across all sources. Meta currently exposes about 18-29 ads per search in Apify cloud, so use multiple queries or Ad Library URLs for larger runs.", "default": 100 }, "monitorChanges": { "title": "Monitor changes since last run", "type": "boolean", "description": "Save snapshots in a named key-value store and compare ad IDs across scheduled runs.", "default": false }, "onlyChanges": { "title": "Output only the changes", "type": "boolean", "description": "When monitoring is enabled, output only new or changed ad rows.", "default": false }, "proxyMode": { "title": "Proxy mode", "enum": [ "none", "auto", "datacenter", "residential" ], "type": "string", "description": "Use no proxy for lowest cost. Choose Auto or proxy modes only if Meta blocks direct access.", "default": "none" }, "proxyCountryCode": { "title": "Residential proxy country", "type": "string", "description": "Optional two-letter country code for residential proxy. Used only when Proxy mode is Residential.", "default": "" }, "includeRawText": { "title": "Include raw ad text", "type": "boolean", "description": "Include the raw text block used for parsing each ad row.", "default": true }, "maxRunMinutes": { "title": "Max run minutes", "minimum": 1, "maximum": 10, "type": "integer", "description": "Cost protection timeout for the whole run. The Actor stops early instead of waiting forever when Meta stalls or blocks loading.", "default": 8 }, "maxSourceSeconds": { "title": "Max seconds per query or URL", "minimum": 30, "maximum": 180, "type": "integer", "description": "Cost protection timeout per search query or Ad Library URL. Lower values reduce risk and cost; higher values may collect more rows on slow pages.", "default": 120 } } }, "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 } } } } } } } } } } ```