# FB meta ads (`marvelous_puncher/my-actor-2`) Actor - **URL**: https://apify.com/marvelous\_puncher/my-actor-2.md - **Developed by:** [CLUST](https://apify.com/marvelous_puncher) (community) - **Categories:** Agents, Automation, AI - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN 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 ### Python Crawlee with Playwright template A template for [web scraping](https://apify.com/web-scraping) data from websites starting from provided URLs using Python. The starting URLs are passed through the Actor's input schema, defined by the [input schema](https://docs.apify.com/platform/actors/development/input-schema). The template uses [Crawlee for Python](https://crawlee.dev/python) for efficient web crawling, making requests via headless browser managed by [Playwright](https://playwright.dev/python/), and handling each request through a user-defined handler that uses [Playwright](https://playwright.dev/python/) API to extract data from the page. Enqueued URLs are managed in the [request queue](https://crawlee.dev/python/api/class/RequestQueue), and the extracted data is saved in a [dataset](https://crawlee.dev/python/api/class/Dataset) for easy access. ### Included features - **[Apify SDK](https://docs.apify.com/sdk/python/)** - a toolkit for building Apify [Actors](https://apify.com/actors) in Python. - **[Crawlee for Python](https://crawlee.dev/python/)** - a web scraping and browser automation library. - **[Input schema](https://docs.apify.com/platform/actors/development/input-schema)** - define and validate a schema for your Actor's input. - **[Request queue](https://crawlee.dev/python/api/class/RequestQueue)** - manage the URLs you want to scrape in a queue. - **[Dataset](https://crawlee.dev/python/api/class/Dataset)** - store and access structured data extracted from web pages. - **[Playwright](https://playwright.dev/python/)** - a library for managing headless browsers. ### Resources - [Video introduction to Python SDK](https://www.youtube.com/watch?v=C8DmvJQS3jk) - [Webinar introducing to Crawlee for Python](https://www.youtube.com/live/ip8Ii0eLfRY) - [Apify Python SDK documentation](https://docs.apify.com/sdk/python/) - [Crawlee for Python documentation](https://crawlee.dev/python/docs/quick-start) - [Python tutorials in Academy](https://docs.apify.com/academy/python) - [Integration with Make, GitHub, Zapier, Google Drive, and other apps](https://apify.com/integrations) - [Video guide on getting scraped data using Apify API](https://www.youtube.com/watch?v=ViYYDHSBAKM) - A short guide on how to build web scrapers using code templates: [web scraper template](https://www.youtube.com/watch?v=u-i-Korzf8w) ### Getting started For complete information [see this article](https://docs.apify.com/platform/actors/development#build-actor-at-apify-console). In short, you will: 1. Build the Actor 2. Run the Actor ### Pull the Actor for local development If you would like to develop locally, you can pull the existing Actor from Apify console using Apify CLI: 1. Install `apify-cli` **Using Homebrew** ```bash brew install apify-cli ``` **Using NPM** ```bash npm -g install apify-cli ``` 2. Pull the Actor by its unique ``, which is one of the following: - unique name of the Actor to pull (e.g. "apify/hello-world") - or ID of the Actor to pull (e.g. "E2jjCZBezvAZnX8Rb") You can find both by clicking on the Actor title at the top of the page, which will open a modal containing both Actor unique name and Actor ID. This command will copy the Actor into the current directory on your local machine. ```bash apify pull ``` ### Documentation reference To learn more about Apify and Actors, take a look at the following resources: - [Apify SDK for JavaScript documentation](https://docs.apify.com/sdk/js) - [Apify SDK for Python documentation](https://docs.apify.com/sdk/python) - [Apify Platform documentation](https://docs.apify.com/platform) - [Join our developer community on Discord](https://discord.com/invite/jyEM2PRvMU) # Actor input Schema ## `pageUrl` (type: `string`): URL of the Facebook page to scrape ads from ## `country` (type: `string`): Two-letter country code, e.g. UA, US, PL ## `searchName` (type: `string`): Exact page name as shown in Facebook, e.g. 'Yoga-Go: Yoga For Weight Loss' ## `activeOnly` (type: `boolean`): If true, only active ads are scraped ## `maxItems` (type: `integer`): Maximum number of ads to return ## `scrollCount` (type: `integer`): How many times to scroll down to load more ads ## `scrollDelayMs` (type: `integer`): Delay between scrolls in milliseconds ## `proxyGroup` (type: `string`): Apify proxy group to use, e.g. RESIDENTIAL or DATACENTER ## Actor input object example ```json { "country": "UA", "activeOnly": true, "maxItems": 50, "scrollCount": 8, "scrollDelayMs": 1000, "proxyGroup": "RESIDENTIAL" } ```` # Actor output Schema ## `overview` (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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("marvelous_puncher/my-actor-2").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/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("marvelous_puncher/my-actor-2").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call marvelous_puncher/my-actor-2 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=marvelous_puncher/my-actor-2", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "FB meta ads", "version": "0.0", "x-build-id": "gtBMRP2m3KPPMTjmA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/marvelous_puncher~my-actor-2/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-marvelous_puncher-my-actor-2", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/marvelous_puncher~my-actor-2/runs": { "post": { "operationId": "runs-sync-marvelous_puncher-my-actor-2", "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/marvelous_puncher~my-actor-2/run-sync": { "post": { "operationId": "run-sync-marvelous_puncher-my-actor-2", "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": [ "pageUrl" ], "properties": { "pageUrl": { "title": "Facebook Page URL", "type": "string", "description": "URL of the Facebook page to scrape ads from" }, "country": { "title": "Country", "type": "string", "description": "Two-letter country code, e.g. UA, US, PL", "default": "UA" }, "searchName": { "title": "Page Search Name", "type": "string", "description": "Exact page name as shown in Facebook, e.g. 'Yoga-Go: Yoga For Weight Loss'" }, "activeOnly": { "title": "Active ads only", "type": "boolean", "description": "If true, only active ads are scraped", "default": true }, "maxItems": { "title": "Max ads to collect", "type": "integer", "description": "Maximum number of ads to return", "default": 50 }, "scrollCount": { "title": "Scroll count", "type": "integer", "description": "How many times to scroll down to load more ads", "default": 8 }, "scrollDelayMs": { "title": "Scroll delay (ms)", "type": "integer", "description": "Delay between scrolls in milliseconds", "default": 1000 }, "proxyGroup": { "title": "Proxy Group", "type": "string", "description": "Apify proxy group to use, e.g. RESIDENTIAL or DATACENTER", "default": "RESIDENTIAL" } } }, "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 } } } } } } } } } } ```