# Facebook Comments Scraper (`api-empire/facebook-comments-scraper`) Actor πŸ’¬ Facebook Comments Scraper extracts comments, replies, authors, timestamps, reactions & permalinks from public or authorized posts/pages. πŸ“Š Export CSV/JSON for sentiment, social listening & customer feedback. ⚑ Fast, reliable & proxy-ready. Ideal for research & marketing. - **URL**: https://apify.com/api-empire/facebook-comments-scraper.md - **Developed by:** [API Empire](https://apify.com/api-empire) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $19.99/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 Comments Scraper Scrape comments and replies from public Facebook posts and videos. ### Features - **Bulk URLs**: Process multiple post URLs in one run - **Comments + Replies**: Fetches top-level comments and nested replies - **Proxy Fallback**: Starts with no proxy; falls back to datacenter then residential if Facebook blocks - **Sort Options**: most_relevant, newest, or original order ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | startUrls | array | required | Facebook post/video URLs | | proxyConfiguration | object | required | Apify proxy config (useApifyProxy: false = no proxy by default) | | maxComments | integer | 100 | Max comments per post | | maxRepliesPerComment | integer | 2 | Max replies per comment | | commentsSortOrder | string | "all" | most_relevant, newest, or all | ### Output Each item in the dataset contains: - `url_key`: Short post identifier - `full_url`: Full Facebook post URL - `comments`: Array of comment objects with `text`, `profileName`, `date`, `reply`, etc. - `commentsCount`: Total comments - `repliesCount`: Total replies - `error`: Present if processing failed ### How to Use 1. Go to [Apify Console](https://console.apify.com) β†’ Actors 2. Run **facebook-comments-scraper** 3. Add Facebook post URLs in startUrls 4. Run and view results in the OUTPUT tab ### Proxy Behavior - **Default**: No proxy - **If blocked**: Fallback to datacenter (SHADER) - **If datacenter blocked**: Fallback to residential, retry 3x - **After fallback**: Uses residential for all remaining requests ### Cautions - Data from publicly available posts only - Comply with Facebook's Terms of Service and applicable privacy laws - Use responsibly # Actor input Schema ## `startUrls` (type: `array`): πŸ“‹ One URL per line β€” bulk paste from a spreadsheet is welcome. βœ… Works with typical **post**, **photo**, and **reel** permalinks from facebook.com. πŸ’‘ **Pro tip:** run a small test first, then scale up your max comments. ## `commentSettings` (type: `object`): ▢️ **One panel** β€” max comments, reply depth, and sort order live together. Tap the header to expand or collapse. ## `onlyCommentsNewerThan` (type: `string`): Pick a date (Absolute, e.g. `2024-01-15`) or a relative window (Relative, e.g. `1 day`, `2 weeks`, `3 months`). Only comments and replies posted **after** this point will be kept. Leave blank to disable. ℹ️ Filtering happens after comments are fetched, so set `maxComments` generously for narrow windows. ## `proxyConfiguration` (type: `object`): ℹ️ Informational only β€” the scraper **always** attaches Apify **residential** proxy at runtime regardless of what is selected here. Tap the header above to expand or collapse this section. ## Actor input object example ```json { "startUrls": [ "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl" ], "proxyConfiguration": { "useApifyProxy": false } } ```` # 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 = { "startUrls": [ "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("api-empire/facebook-comments-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "startUrls": ["https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("api-empire/facebook-comments-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ "https://www.facebook.com/humansofnewyork/posts/pfbid0BbKbkisExKGSKuhee9a7i86RwRuMKFC8NSkKStB7CsM3uXJuAAfZLrkcJMXxhH4Yl" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call api-empire/facebook-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=api-empire/facebook-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Comments Scraper", "description": "πŸ’¬ Facebook Comments Scraper extracts comments, replies, authors, timestamps, reactions & permalinks from public or authorized posts/pages. πŸ“Š Export CSV/JSON for sentiment, social listening & customer feedback. ⚑ Fast, reliable & proxy-ready. Ideal for research & marketing.", "version": "0.1", "x-build-id": "W9dtxpJIxnu8eKv1m" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/api-empire~facebook-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-api-empire-facebook-comments-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/api-empire~facebook-comments-scraper/runs": { "post": { "operationId": "runs-sync-api-empire-facebook-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/api-empire~facebook-comments-scraper/run-sync": { "post": { "operationId": "run-sync-api-empire-facebook-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "πŸ”— Paste your Facebook post / video links", "type": "array", "description": "πŸ“‹ One URL per line β€” bulk paste from a spreadsheet is welcome.\n\nβœ… Works with typical **post**, **photo**, and **reel** permalinks from facebook.com.\n\nπŸ’‘ **Pro tip:** run a small test first, then scale up your max comments.", "items": { "type": "string" } }, "commentSettings": { "title": "πŸ“Š Comments limits & sort order", "type": "object", "description": "▢️ **One panel** β€” max comments, reply depth, and sort order live together. Tap the header to expand or collapse.", "properties": { "maxComments": { "title": "πŸ’¬ Max comments per post", "type": "integer", "description": "🎯 Hard cap on top-level comments **per** URL β€” lower = faster; higher = deeper threads.", "editor": "number", "default": 10, "minimum": 1 }, "maxRepliesPerComment": { "title": "↩️ Max replies per comment", "type": "integer", "description": "🧡 Nested replies to fetch per threaded comment β€” use a **large number** for β€œeffectively all”.", "editor": "number", "default": 1, "minimum": 0 }, "commentsSortOrder": { "title": "πŸ“Š Comment order", "type": "string", "description": "πŸ”€ Ordering where supported β€” pick what fits your analysis.", "editor": "select", "enum": [ "most_relevant", "newest", "all" ], "enumTitles": [ "⭐ Most relevant (Facebook default vibe)", "πŸ†• Newest first", "πŸ“œ All / original flow" ], "default": "all" } } }, "onlyCommentsNewerThan": { "title": "πŸ“… Extract comments that are newer than", "type": "string", "description": "Pick a date (Absolute, e.g. `2024-01-15`) or a relative window (Relative, e.g. `1 day`, `2 weeks`, `3 months`). Only comments and replies posted **after** this point will be kept. Leave blank to disable.\n\nℹ️ Filtering happens after comments are fetched, so set `maxComments` generously for narrow windows." }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "ℹ️ Informational only β€” the scraper **always** attaches Apify **residential** proxy at runtime regardless of what is selected here. Tap the header above to expand or collapse this section." } } }, "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 } } } } } } } } } } ```