# Commet Apify 1 (`doshikevin361/commet--apify-1`) Actor - **URL**: https://apify.com/doshikevin361/commet--apify-1.md - **Developed by:** [Kevin Doshi](https://apify.com/doshikevin361) (community) - **Categories:** Agents, E-commerce - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / actor start This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Facebook comments — live scraper (Apify) This Actor **opens each post URL in a real browser** (Playwright + Crawlee), scrolls the comment thread, and outputs rows **compatible with** [`apify/facebook-comments-scraper`](https://apify.com/apify/facebook-comments-scraper), plus `from`, `author`, `created_time` for **`social-buzzbrand-api`** (`facebookMetaAPI.js`). ### Modes | Mode | When | |------|------| | **Live scrape (default)** | `mockData: false`, pass `startUrls` with **public** post permalinks. | | **Mock** | `mockData: true` — 6 sample rows only (tests). | | **Passthrough** | `rawComments: [...]` — no browser; normalize and push (ETL). | ### Input (same as your backend) ```json { "includeNestedComments": false, "startUrls": [{ "url": "https://www.facebook.com/page/posts/pfbid..." }] } ```` Optional: `maxComments`, `maxScrolls`, `scrollDelayMs`, `useMobileHost`, `proxyConfiguration`. ### Production tips - Use **Apify Residential proxy** — Facebook often blocks datacenter IPs. - **Public posts** with comments visible without login work best. - Markup changes → maintain `src/scrape.js` selectors over time. ### Local run ```bash cd apify-facebook-comments-mirror npm install npx playwright install chromium mkdir -p storage/key_value_stores/default cp INPUT.example.json storage/key_value_stores/default/INPUT.json npx apify-cli run ``` On **Apify Cloud**, the Docker image includes Chrome — no `playwright install` needed. ### Docker `Dockerfile` uses `apify/actor-node-playwright-chrome:20`. # Actor input Schema ## `startUrls` (type: `array`): Public Facebook post permalinks, same shape as store actor: \[{ "url": "https://www.facebook.com/page/posts/pfbid..." }]. Required for live scrape unless mockData or rawComments. ## `includeNestedComments` (type: `boolean`): If false, only top-level comments (no reply\_comment\_id threads). ## `mockData` (type: `boolean`): If true, skips browser and pushes sample rows. For production use false and pass startUrls. ## `rawComments` (type: `array`): Optional: paste dataset items from an export. Normalizes and pushes without scraping. ## `maxComments` (type: `integer`): Stop after collecting this many unique comments per start URL. ## `maxScrolls` (type: `integer`): How many times to scroll the thread and click “view more” patterns. ## `scrollDelayMs` (type: `integer`): Wait for lazy-loaded comments. ## `useMobileHost` (type: `boolean`): Rewrite hostname to mobile; sometimes different HTML. ## `proxyConfiguration` (type: `object`): Apify Proxy; residential groups improve success vs Facebook blocks. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.facebook.com/nasaearth/posts/pfbid02QZnrKoDC2UBUcErwP1YkKhFmXX4mnJCeaJGC8eRGHwQyMt2Nadf3ez196Hw1bSX7l" } ], "includeNestedComments": false, "mockData": false, "maxComments": 200, "maxScrolls": 25, "scrollDelayMs": 1800, "useMobileHost": 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": [ { "url": "https://www.facebook.com/nasaearth/posts/pfbid02QZnrKoDC2UBUcErwP1YkKhFmXX4mnJCeaJGC8eRGHwQyMt2Nadf3ez196Hw1bSX7l" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("doshikevin361/commet--apify-1").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 = { "startUrls": [{ "url": "https://www.facebook.com/nasaearth/posts/pfbid02QZnrKoDC2UBUcErwP1YkKhFmXX4mnJCeaJGC8eRGHwQyMt2Nadf3ez196Hw1bSX7l" }] } # Run the Actor and wait for it to finish run = client.actor("doshikevin361/commet--apify-1").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 '{ "startUrls": [ { "url": "https://www.facebook.com/nasaearth/posts/pfbid02QZnrKoDC2UBUcErwP1YkKhFmXX4mnJCeaJGC8eRGHwQyMt2Nadf3ez196Hw1bSX7l" } ] }' | apify call doshikevin361/commet--apify-1 --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=doshikevin361/commet--apify-1", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Commet Apify 1", "description": null, "version": "0.0", "x-build-id": "XB7lek2y3qBzjd6mZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/doshikevin361~commet--apify-1/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-doshikevin361-commet--apify-1", "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/doshikevin361~commet--apify-1/runs": { "post": { "operationId": "runs-sync-doshikevin361-commet--apify-1", "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/doshikevin361~commet--apify-1/run-sync": { "post": { "operationId": "run-sync-doshikevin361-commet--apify-1", "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", "properties": { "startUrls": { "title": "Post URLs (one or more)", "type": "array", "description": "Public Facebook post permalinks, same shape as store actor: [{ \"url\": \"https://www.facebook.com/page/posts/pfbid...\" }]. Required for live scrape unless mockData or rawComments.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "includeNestedComments": { "title": "Include replies (nested)", "type": "boolean", "description": "If false, only top-level comments (no reply_comment_id threads).", "default": false }, "mockData": { "title": "TEST ONLY — 6 fake comments", "type": "boolean", "description": "If true, skips browser and pushes sample rows. For production use false and pass startUrls.", "default": false }, "rawComments": { "title": "Passthrough JSON (no browser)", "type": "array", "description": "Optional: paste dataset items from an export. Normalizes and pushes without scraping." }, "maxComments": { "title": "Max comments per post", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Stop after collecting this many unique comments per start URL.", "default": 200 }, "maxScrolls": { "title": "Max scroll / load passes", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many times to scroll the thread and click “view more” patterns.", "default": 25 }, "scrollDelayMs": { "title": "Delay between passes (ms)", "minimum": 400, "maximum": 20000, "type": "integer", "description": "Wait for lazy-loaded comments.", "default": 1800 }, "useMobileHost": { "title": "Use m.facebook.com", "type": "boolean", "description": "Rewrite hostname to mobile; sometimes different HTML.", "default": false }, "proxyConfiguration": { "title": "Proxy (recommended)", "type": "object", "description": "Apify Proxy; residential groups improve success vs Facebook blocks." } } }, "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 } } } } } } } } } } ```