# Facebook Comments (Structured Output) (`expected_knight/facebook-comments-structured-output`) Actor Pull the comments from any Facebook post in a structured format. - **URL**: https://apify.com/expected\_knight/facebook-comments-structured-output.md - **Developed by:** [Ritozpal](https://apify.com/expected_knight) (community) - **Categories:** Social media, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.001 / actor start 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 ## Agent A — Structured Facebook Comments Provides structured Facebook comments. Give it one or more Facebook post URLs and it returns a clean, consistent dataset of comments — author, text, date, and engagement counts. ### Input | Field | Type | Required | Description | |-------------------------|-----------------|----------|--------------------------------------------------------------------------------------------------------| | `postUrls` | array of string | Yes | Facebook post, reel, or video URLs to fetch comments from. | | `maxComments` | integer | No | Maximum number of comments to retrieve per post (default 50). | | `includeNestedComments` | boolean | No | Whether to include replies to comments (default `false`). | | `viewOption` | string | No | Sort order: `RANKED_UNFILTERED` (most relevant) or `RECENT_ACTIVITY` (newest). Default `RANKED_UNFILTERED`. | #### Example input ```json { "postUrls": [ "https://www.facebook.com/reel/837427248653538" ], "maxComments": 50, "includeNestedComments": false, "viewOption": "RANKED_UNFILTERED" } ```` ### Output Each item in the dataset represents one comment: | Field | Type | Description | |--------------------|-----------------|-----------------------------------------------------------------------------| | `commentId` | string | Unique identifier of the comment. | | `postUrl` | string | URL of the post the comment belongs to. | | `commentUrl` | string | Direct URL to the comment. | | `text` | string | The comment text. Any sticker or GIF is appended in brackets, e.g. `[Sticker: heart]`. | | `date` | string | When the comment was posted (ISO 8601, UTC). | | `authorName` | string | Display name of the comment author. | | `authorProfileUrl` | string | URL of the author's profile. | | `authorAvatarUrl` | string | URL of the author's profile picture. | | `likesCount` | integer | Number of likes on the comment. | | `repliesCount` | integer | Number of replies to the comment. | | `attachmentUrls` | array of string | Direct URLs to any stickers, GIFs, or media attached to the comment. | #### Example output ```json { "commentId": "1704873500946875", "postUrl": "https://www.facebook.com/reel/837427248653538", "commentUrl": "https://www.facebook.com/reel/837427248653538/?comment_id=1704873500946875", "text": "Happy Mother's Day [GIF: GIPHY]", "date": "2026-04-13T14:00:29.000Z", "authorName": "Mohd Fiqrie", "authorProfileUrl": "https://www.facebook.com/mohd.fiqrie.549", "authorAvatarUrl": "https://scontent.fglw1-1.fna.fbcdn.net/v/t1.6435-1/119881097_367618394606861_203...", "likesCount": 0, "repliesCount": 1, "attachmentUrls": [ "https://external-ord5-2.xx.fbcdn.net/emg1/v/t13/12752037886576399210?url=https%3A%2F%2Fmedia3.giphy.com%2F..." ] } ``` ### Usage 1. Provide one or more Facebook post URLs in `postUrls`. 2. Optionally set `maxComments` to cap how many comments are returned per post. 3. Optionally enable `includeNestedComments` to also fetch replies to comments. 4. Optionally choose `viewOption` to control sort order (most relevant or newest). 5. Run the Actor. 6. Collect the structured comments from the Actor's dataset. # Actor input Schema ## `postUrls` (type: `array`): One or more Facebook post, reel, or video URLs to fetch comments from. ## `maxComments` (type: `integer`): Maximum number of comments to retrieve per post. ## `includeNestedComments` (type: `boolean`): Whether to include replies to comments (nested threads). ## `viewOption` (type: `string`): How comments should be sorted. ## Actor input object example ```json { "postUrls": [ "https://www.facebook.com/reel/837427248653538" ], "maxComments": 50, "includeNestedComments": false, "viewOption": "RECENT_ACTIVITY" } ``` # 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 = { "postUrls": [ "https://www.facebook.com/reel/837427248653538" ] }; // Run the Actor and wait for it to finish const run = await client.actor("expected_knight/facebook-comments-structured-output").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 = { "postUrls": ["https://www.facebook.com/reel/837427248653538"] } # Run the Actor and wait for it to finish run = client.actor("expected_knight/facebook-comments-structured-output").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 '{ "postUrls": [ "https://www.facebook.com/reel/837427248653538" ] }' | apify call expected_knight/facebook-comments-structured-output --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=expected_knight/facebook-comments-structured-output", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Comments (Structured Output)", "description": "Pull the comments from any Facebook post in a structured format.", "version": "0.0", "x-build-id": "VhUJPu661ao1crZV8" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/expected_knight~facebook-comments-structured-output/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-expected_knight-facebook-comments-structured-output", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/expected_knight~facebook-comments-structured-output/runs": { "post": { "operationId": "runs-sync-expected_knight-facebook-comments-structured-output", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/expected_knight~facebook-comments-structured-output/run-sync": { "post": { "operationId": "run-sync-expected_knight-facebook-comments-structured-output", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "postUrls" ], "properties": { "postUrls": { "title": "Facebook post URLs", "type": "array", "description": "One or more Facebook post, reel, or video URLs to fetch comments from.", "items": { "type": "string" } }, "maxComments": { "title": "Max comments per post", "minimum": 1, "type": "integer", "description": "Maximum number of comments to retrieve per post.", "default": 50 }, "includeNestedComments": { "title": "Include nested comments", "type": "boolean", "description": "Whether to include replies to comments (nested threads).", "default": false }, "viewOption": { "title": "Sort order", "enum": [ "RANKED_UNFILTERED", "RECENT_ACTIVITY" ], "type": "string", "description": "How comments should be sorted.", "default": "RECENT_ACTIVITY" } } }, "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 } } } } } } } } } } ```