# Facebook Comments Scraper 💬 (`scriptbase/facebook-comments-scraper`) Actor 💬 Export Facebook comments to JSON, CSV or Excel. Get comment text, author, reactions, reply count and date from any post, video or reel. Paginated, no login, no Graph API access needed. - **URL**: https://apify.com/scriptbase/facebook-comments-scraper.md - **Developed by:** [Scriptbase](https://apify.com/scriptbase) (community) - **Categories:** Social media, Automation, Developer tools - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Export Facebook comments to JSON, CSV or Excel. Give it a post, video or reel URL, get back every comment with its author, reaction count, reply count and date — no login, no cookies, no Graph API app review. ### What it does Reads the comment thread of one public Facebook post, video or reel and writes one dataset row per comment. It pages until it reaches your `maxItems` limit or the comments run out. ### Input | Field | Type | Required | Default | Description | |---|---|---|---|---| | `url` | string | yes | — | Facebook post, video or reel URL | | `maxItems` | integer | no | 100 | Stop after this many comments | ```json { "url": "https://www.facebook.com/watch/?v=10153231379946729", "maxItems": 300 } ```` ### Output One row per comment. ```json { "id": "1234567890123456_9876543210", "text": "This aged well", "author": { "name": "Jane Doe", "id": "1234567890" }, "likeCount": 87, "replyCount": 4, "publishedAt": "2026-05-02T00:00:00.000Z", "publishedAtConfidence": "exact" } ``` | Field | Type | Notes | |---|---|---| | `id` | string | Platform comment id | | `text` | string | Comment body | | `author.name` | string | Display name | | `author.id` | string | Profile id | | `likeCount` | integer | **Total reactions**, not just Likes — see below | | `replyCount` | integer | Replies to this comment | | `publishedAt` | string | ISO 8601 | | `publishedAtConfidence` | string | `exact` | `parsed` | `unknown` | #### Reactions, not likes Facebook has seven reaction types. `likeCount` is the **total across all of them**, which is the closest equivalent to a like count on other platforms. It is named that way so a row from this actor lines up with a row from the YouTube, TikTok or Instagram comment scrapers. The per-type breakdown — love, haha, wow, sad, angry, care — is preserved in the raw payload and is not surfaced as a column. #### No avatar, no verified flag Facebook does not expose either on comment authors. Those fields are **absent** rather than defaulted, because reporting `verified: false` for a field the platform never sent would be a claim we cannot make. ### What it does not do - **Replies are not expanded.** Top-level comments only. - **Public content only.** Private posts, private groups and friends-only content return `NOT_FOUND`. - **No reaction-type columns.** See above. - **One post per run.** ### Pricing Charged per comment delivered. Failed runs charge nothing. ### Errors | Code | Meaning | |---|---| | `BAD_REQUEST` | Input missing, malformed, or not a URL this actor serves | | `NOT_FOUND` | The target is private, removed, or does not exist | | `UNSUPPORTED_OPERATION` | The URL resolved to a platform this actor does not serve | | `UPSTREAM_FAILED` | Every upstream source failed — retry shortly | | `RATE_LIMITED` | Too many requests; back off and retry | | `TIMEOUT` | The source took longer than the actor's budget | | `UNAUTHORIZED` | The actor's API credentials are invalid — contact the author | | `INSUFFICIENT_CREDITS` | The account behind this actor is out of credits — contact the author | | `INTERNAL_ERROR` | Unexpected failure | `UNAUTHORIZED` and `INSUFFICIENT_CREDITS` are on us, not you. If you see either, the actor is misconfigured on our side. ### How it works Two independent upstream sources serve this operation. If the first returns nothing usable, the second is tried automatically inside the same run — no double charge, no retry on your side. An empty comment thread is a genuine answer, not a failure. Comments are always fetched live, never cached. ### FAQ **Do I need a Facebook account or cookies?** No. **Does this need Graph API app review?** No. **Why is `likeCount` higher than the Like count I see?** It is the total of all seven reaction types. **Where is the reaction breakdown?** In the raw payload, not as columns. **Can I scrape a private group?** No. # Actor input Schema ## `url` (type: `string`): URL of the Facebook post, video or reel whose comments you want. ## `maxItems` (type: `integer`): Stop after this many results. Charged per result delivered, so this caps the run's cost. ## Actor input object example ```json { "url": "https://www.facebook.com/watch/?v=10153231379946729", "maxItems": 25 } ``` # 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 = { "url": "https://www.facebook.com/watch/?v=10153231379946729", "maxItems": 25 }; // Run the Actor and wait for it to finish const run = await client.actor("scriptbase/facebook-comments-scraper").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 = { "url": "https://www.facebook.com/watch/?v=10153231379946729", "maxItems": 25, } # Run the Actor and wait for it to finish run = client.actor("scriptbase/facebook-comments-scraper").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 '{ "url": "https://www.facebook.com/watch/?v=10153231379946729", "maxItems": 25 }' | apify call scriptbase/facebook-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scriptbase/facebook-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Comments Scraper 💬", "description": "💬 Export Facebook comments to JSON, CSV or Excel. Get comment text, author, reactions, reply count and date from any post, video or reel. Paginated, no login, no Graph API access needed.", "version": "0.1", "x-build-id": "rB7XCMUv84g03bjox" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scriptbase~facebook-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scriptbase-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scriptbase~facebook-comments-scraper/runs": { "post": { "operationId": "runs-sync-scriptbase-facebook-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scriptbase~facebook-comments-scraper/run-sync": { "post": { "operationId": "run-sync-scriptbase-facebook-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "url" ], "properties": { "url": { "title": "Facebook Post or Video URL", "type": "string", "description": "URL of the Facebook post, video or reel whose comments you want." }, "maxItems": { "title": "Maximum results", "minimum": 1, "type": "integer", "description": "Stop after this many results. Charged per result delivered, so this caps the run's cost.", "default": 100 } } }, "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 } } } } } } } } } } ```