# Meta Ads Library Competitor Monitor (`ovular_cappuccino/meta-ads-library-monitor`) Actor Track competitor Facebook, Instagram, Messenger and Audience Network ads from Meta Ads Library. - **URL**: https://apify.com/ovular\_cappuccino/meta-ads-library-monitor.md - **Developed by:** [Rean Opperman](https://apify.com/ovular_cappuccino) (community) - **Categories:** SEO tools, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 Competitor Monitor Track competitor ads from Meta Ads Library across Facebook, Instagram, Messenger and Audience Network. ### What it does - Searches Meta Ads Library by brand, domain, keyword, or numeric Facebook page ID. - Handles Meta's lightweight `rd_challenge` verification flow with a cookie jar. - Extracts server-rendered ad results from Meta's prefetched Relay JSON. - Uses Meta Relay GraphQL pagination for additional result pages when `maxAdsPerQuery` exceeds the initial payload. - Returns clean competitor-intelligence records plus optional summary rows. ### Output includes - advertiser/page name and page ID - ad archive ID and source URL - active status, start/end dates - platforms and countries - ad copy, CTA, caption, landing page - image/video creative URLs when available - spend/impression/reach metadata when Meta exposes it ### Notes Meta can change or harden Ads Library at any time. This Actor detects blocking and returns `blockedByMeta: true` summary rows instead of silently failing. ### Pagination The first Meta page usually contains about 30 ads. For larger exports, set `maxAdsPerQuery` and `maxPagesPerQuery`; the Actor follows Meta's Relay cursor pagination and records `pagesFetched` plus `hasMoreResults` in the summary row. Logged-out Meta pagination currently tends to return smaller follow-up pages than the initial SSR payload, so very high limits may require raising `maxPagesPerQuery`. If Meta hardens the GraphQL route, the Actor reports the pagination error in the summary row rather than silently truncating. # Actor input Schema ## `queries` (type: `array`): Brand names, domains, keywords, or numeric Facebook page IDs. ## `countries` (type: `array`): Two-letter country codes. Meta Ads Library is queried once per country. ## `maxAdsPerQuery` (type: `integer`): Maximum ads to return per query/country. Uses Relay pagination when more than the initial Meta payload is needed. ## `activeOnly` (type: `boolean`): Active ads only ## `includeCreativeAssets` (type: `boolean`): Include image/video asset URLs ## `includePageSummary` (type: `boolean`): Include summary rows ## `includeRawData` (type: `boolean`): Include raw Meta payload ## `delayMs` (type: `integer`): Delay between requests (ms) ## `maxPagesPerQuery` (type: `integer`): Maximum Meta result pages to fetch per query/country. Each page is about 30 ads. Higher values may increase runtime and block risk. ## `proxyConfiguration` (type: `object`): Optional Apify Proxy configuration. Enable if Meta blocks direct datacenter requests. ## Actor input object example ```json { "queries": [ "Nike" ], "countries": [ "US" ], "maxAdsPerQuery": 50, "activeOnly": false, "includeCreativeAssets": true, "includePageSummary": true, "includeRawData": false, "delayMs": 750, "maxPagesPerQuery": 3, "proxyConfiguration": { "useApifyProxy": false } } ```` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "queries": [ "Nike" ], "countries": [ "US" ] }; // Run the Actor and wait for it to finish const run = await client.actor("ovular_cappuccino/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 = { "queries": ["Nike"], "countries": ["US"], } # Run the Actor and wait for it to finish run = client.actor("ovular_cappuccino/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 '{ "queries": [ "Nike" ], "countries": [ "US" ] }' | apify call ovular_cappuccino/meta-ads-library-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ovular_cappuccino/meta-ads-library-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Meta Ads Library Competitor Monitor", "description": "Track competitor Facebook, Instagram, Messenger and Audience Network ads from Meta Ads Library.", "version": "0.1", "x-build-id": "ZodBWgvFLa8tQr8vi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ovular_cappuccino~meta-ads-library-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ovular_cappuccino-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/ovular_cappuccino~meta-ads-library-monitor/runs": { "post": { "operationId": "runs-sync-ovular_cappuccino-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/ovular_cappuccino~meta-ads-library-monitor/run-sync": { "post": { "operationId": "run-sync-ovular_cappuccino-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", "required": [ "queries" ], "properties": { "queries": { "title": "Competitor names, domains, or Meta page IDs", "type": "array", "description": "Brand names, domains, keywords, or numeric Facebook page IDs.", "items": { "type": "string" } }, "countries": { "title": "Countries", "type": "array", "description": "Two-letter country codes. Meta Ads Library is queried once per country.", "items": { "type": "string" } }, "maxAdsPerQuery": { "title": "Max ads per query/country", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum ads to return per query/country. Uses Relay pagination when more than the initial Meta payload is needed.", "default": 50 }, "activeOnly": { "title": "Active ads only", "type": "boolean", "description": "Active ads only", "default": false }, "includeCreativeAssets": { "title": "Include image/video asset URLs", "type": "boolean", "description": "Include image/video asset URLs", "default": true }, "includePageSummary": { "title": "Include summary rows", "type": "boolean", "description": "Include summary rows", "default": true }, "includeRawData": { "title": "Include raw Meta payload", "type": "boolean", "description": "Include raw Meta payload", "default": false }, "delayMs": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 10000, "type": "integer", "description": "Delay between requests (ms)", "default": 750 }, "maxPagesPerQuery": { "title": "Max pages per query/country", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum Meta result pages to fetch per query/country. Each page is about 30 ads. Higher values may increase runtime and block risk.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional Apify Proxy configuration. Enable if Meta blocks direct datacenter requests.", "default": { "useApifyProxy": 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 } } } } } } } } } } ```