# Facebook Channel (`newbs/facebook-channel`) Actor Discover the social pulse of any Facebook page with our scraper. Extract details like post info, likes, comments, and more from your chosen pages. Perfect for competitor analysis, market research, and content planning. Get insights from Facebook in seconds! - **URL**: https://apify.com/newbs/facebook-channel.md - **Developed by:** [Newbs](https://apify.com/newbs) (community) - **Categories:** Social media - **Stats:** 6 total users, 6 monthly users, 0.0% runs succeeded, 2 bookmarks - **User rating**: No ratings yet ## Pricing $35.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 Scraper using Puppeteer ### Overview This Apify actor uses Puppeteer to scrape Facebook posts from a specified channel and number of posts. The output of the actor includes details on each post scraped. ### Input The actor takes in the following input: - `socialName` (required) - The name of the channel or page to scrape posts from. - `numberOfPosts` (required) - The number of posts to scrape. - `globalTimeOut` (optional) - Timeout for the whole scraping process. Default is 300 seconds. ### Output The actor outputs an array of objects, where each object represents a single Facebook post. The object includes the following details for each post: - `socialName` - The name of the Facebook page. - `about` - Includes details like likes, followers, link to the page, type of the page, description of the page. - `rating` - The rating of the page. - `posts` - Details about the posts scraped. Each post includes: - `title` - The title of the post. - `description` - The description of the post. - `coverImage` - The URL of the cover image. - `postUrl` - The URL of the post. - `author` - The name of the author of the post. - `likeCount` - The number of likes the post has. - `commentCount` - The number of comments the post has. - `publishedAt` - The date the post was published. ### Usage To use this actor, you can set up a task on Apify and configure the input parameters as desired. Once the task is started, the actor will scrape the specified number of posts for the specified channel and output the details in the format described above. #### Example Input ```json { "socialName": "Dior", "numberOfPosts": 10, "globalTimeOut": 300 } ```` #### Example Output ```json [ { "socialName": "Dior", "about": { "likes": "3M", "follow": "4M", "visit": "2M", "link": "https://www.facebook.com/Dior/", "type": "Fashion Brand", "description": "Dior official Facebook page" }, "rating": 4.8, "posts": [ { "title": "Post Title 1", "text": "Post text 1", "image": "https://example.com/image-1.jpg", "video": "https://www.facebook.com/Dior/posts/1234567890", "share": "532", "like": 1000, "comment": 120, "date": "July 20 at 2:02 PM" }, { "title": "Post Title 1", "text": "Post text 1", "image": "https://example.com/image-1.jpg", "video": "https://www.facebook.com/Dior/posts/1234567890", "share": "532", "like": 1000, "comment": 120, "date": "July 20 at 2:02 PM" } ] } ] ``` ### Disclaimer Please note that the use of this actor and any data obtained through its use is at your own risk. The developer of this actor is not responsible for any consequences resulting from the use of this actor and the data it generates. It is your responsibility to ensure that you comply with all applicable laws and regulations governing the use of such data. # Actor input Schema ## `socialName` (type: `string`): The socialName you want to add to. ## `numberOfPosts` (type: `integer`): The number of results you want from the socialName. ## `globalTimeOut` (type: `integer`): The global timeout for the request. ## Actor input object example ```json { "socialName": "dior", "numberOfPosts": 8 } ``` # 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 = { "socialName": "dior", "numberOfPosts": 8 }; // Run the Actor and wait for it to finish const run = await client.actor("newbs/facebook-channel").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 = { "socialName": "dior", "numberOfPosts": 8, } # Run the Actor and wait for it to finish run = client.actor("newbs/facebook-channel").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 '{ "socialName": "dior", "numberOfPosts": 8 }' | apify call newbs/facebook-channel --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=newbs/facebook-channel", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Channel", "description": "Discover the social pulse of any Facebook page with our scraper. Extract details like post info, likes, comments, and more from your chosen pages. Perfect for competitor analysis, market research, and content planning. Get insights from Facebook in seconds!", "version": "0.0", "x-build-id": "cBVjYCR6Zy3QdFUgU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/newbs~facebook-channel/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-newbs-facebook-channel", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/newbs~facebook-channel/runs": { "post": { "operationId": "runs-sync-newbs-facebook-channel", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/newbs~facebook-channel/run-sync": { "post": { "operationId": "run-sync-newbs-facebook-channel", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "socialName", "numberOfPosts" ], "properties": { "socialName": { "title": "socialName", "type": "string", "description": "The socialName you want to add to." }, "numberOfPosts": { "title": "Number of posts (no limit)", "type": "integer", "description": "The number of results you want from the socialName." }, "globalTimeOut": { "title": "Global timeout seconds (the base timeout is 300s and its calculated to add 300s for every 20 results)", "type": "integer", "description": "The global timeout for the request." } } }, "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 } } } } } } } } } } ```