# Ultimate YouTube Comments Scraper (`apt_marble/ultimate-youtube-comments-scraper`) Actor 🚀 Scrape YouTube comments at scale with full metadata, reply threads, author profiles, likes, verification badges, creator hearts, and pinned status. Fast, reliable, and ready for analytics. - **URL**: https://apify.com/apt\_marble/ultimate-youtube-comments-scraper.md - **Developed by:** [Hamza](https://apify.com/apt_marble) (community) - **Categories:** Videos, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $0.65 / 1,000 results 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 ## Ultimate YouTube Comments Scraper 💬 Scrape comments from any YouTube video — fast, reliable, and rich with detail. Get author profiles, like counts, reply threads, creator hearts, pinned status and verification badges as clean, structured JSON. ### ✨ What you get Every comment becomes one dataset record with: | Field | Description | |---|---| | `commentId` | Unique comment identifier | | `parentCommentId` | Set for replies, `null` for top-level comments | | `type` | `comment` or `reply` | | `text` | Full comment text | | `publishedTime` | When it was posted (e.g. "1 year ago") | | `author` | Author handle (e.g. `@Fireship`) | | `authorChannelId` / `authorChannelUrl` | Author's channel | | `authorAvatar` | Author's profile picture URL | | `authorIsChannelOwner` | `true` when the video's creator commented | | `authorIsVerified` | Verified channel badge | | `likes` | Like count as a number | | `replyCount` | Number of replies on the thread | | `isPinned` | Pinned by the creator | | `hasCreatorHeart` | ❤️ from the creator | | `position` | Order in which the comment was scraped | | `videoId` / `videoTitle` / `videoUrl` | The source video | | `totalComments` | Total comment count on the video | ### ⚙️ Options - **Direct video URLs** — any number of videos (watch, youtu.be, Shorts or embed links). - **Maximum comments** — cap results per video, or 0 for everything. - **Sorting order** — YouTube's *Top comments* ranking or *Newest first*. - **Max Replies Per Comment** — expand reply threads to any depth, or keep it 0 for maximum speed. ### 🚀 Example Input: ```json { "videoUrls": ["https://www.youtube.com/watch?v=IELMSD2kdmk"], "maxComments": 100, "sortingOrder": "top", "maxRepliesPerComment": 5 } ```` One record from the output: ```json { "commentId": "UgxnZbbDRlNXOjEyL094AaABAg", "parentCommentId": null, "type": "comment", "text": "Correction: Spark is written in Scala, not its abusive stepfather Java.", "publishedTime": "1 year ago", "author": "@Fireship", "authorChannelUrl": "https://www.youtube.com/channel/UCsBjURrPoezykLs9EqgamOA", "authorIsChannelOwner": true, "authorIsVerified": true, "likes": 2400, "replyCount": 38, "isPinned": false, "hasCreatorHeart": false, "position": 1, "videoId": "IELMSD2kdmk", "videoTitle": "Apache Spark in 100 Seconds", "videoUrl": "https://www.youtube.com/watch?v=IELMSD2kdmk", "totalComments": 451 } ``` ### 💡 Use cases - **Audience research** — find what viewers love, ask for, and complain about. - **Sentiment analysis** — feed clean comment text straight into your NLP pipeline. - **Creator monitoring** — track hearts, pins and owner replies across videos. - **Lead generation** — identify engaged, verified commenters in your niche. ### 💳 Pricing You pay per comment scraped — no subscriptions, no hidden compute costs. Replies count as comments. ### ❓ FAQ **Does it work on videos with disabled comments?** Those are skipped with a clear log message; you're not charged. **Are replies included by default?** No — set *Max Replies Per Comment* above 0 to expand threads. **How fresh is the data?** Every run scrapes YouTube live, so the data is as fresh as the moment you press Start. # Actor input Schema ## `videoUrls` (type: `array`): One or more YouTube video URLs to scrape comments from. Supports watch, youtu.be, Shorts and embed links. ## `maxComments` (type: `integer`): Maximum number of comments to scrape per video (replies count toward this limit). Use 0 for unlimited. ## `sortingOrder` (type: `string`): Scrape comments ranked by YouTube's top order, or chronologically newest first. ## `maxRepliesPerComment` (type: `integer`): How many replies to fetch for each comment thread. 0 skips replies entirely (fastest). ⚠️ Fetching replies makes extra requests and increases run time. ## `maxConcurrency` (type: `integer`): How many videos to process in parallel. ## Actor input object example ```json { "videoUrls": [ "https://www.youtube.com/watch?v=IELMSD2kdmk" ], "maxComments": 100, "sortingOrder": "top", "maxRepliesPerComment": 0, "maxConcurrency": 5 } ``` # Actor output Schema ## `dataset` (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 = { "videoUrls": [ "https://www.youtube.com/watch?v=IELMSD2kdmk" ] }; // Run the Actor and wait for it to finish const run = await client.actor("apt_marble/ultimate-youtube-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 = { "videoUrls": ["https://www.youtube.com/watch?v=IELMSD2kdmk"] } # Run the Actor and wait for it to finish run = client.actor("apt_marble/ultimate-youtube-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 '{ "videoUrls": [ "https://www.youtube.com/watch?v=IELMSD2kdmk" ] }' | apify call apt_marble/ultimate-youtube-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apt_marble/ultimate-youtube-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ultimate YouTube Comments Scraper", "description": "🚀 Scrape YouTube comments at scale with full metadata, reply threads, author profiles, likes, verification badges, creator hearts, and pinned status. Fast, reliable, and ready for analytics.", "version": "0.0", "x-build-id": "3iQUD5qLmj4gDUGFo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apt_marble~ultimate-youtube-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apt_marble-ultimate-youtube-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apt_marble~ultimate-youtube-comments-scraper/runs": { "post": { "operationId": "runs-sync-apt_marble-ultimate-youtube-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apt_marble~ultimate-youtube-comments-scraper/run-sync": { "post": { "operationId": "run-sync-apt_marble-ultimate-youtube-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videoUrls" ], "properties": { "videoUrls": { "title": "Direct video URLs", "type": "array", "description": "One or more YouTube video URLs to scrape comments from. Supports watch, youtu.be, Shorts and embed links.", "default": [ "https://www.youtube.com/watch?v=IELMSD2kdmk" ], "items": { "type": "string" } }, "maxComments": { "title": "Maximum comments", "minimum": 0, "type": "integer", "description": "Maximum number of comments to scrape per video (replies count toward this limit). Use 0 for unlimited.", "default": 100 }, "sortingOrder": { "title": "Sorting order", "enum": [ "top", "newest" ], "type": "string", "description": "Scrape comments ranked by YouTube's top order, or chronologically newest first.", "default": "top" }, "maxRepliesPerComment": { "title": "Max Replies Per Comment", "minimum": 0, "type": "integer", "description": "How many replies to fetch for each comment thread. 0 skips replies entirely (fastest). ⚠️ Fetching replies makes extra requests and increases run time.", "default": 0 }, "maxConcurrency": { "title": "Concurrency", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many videos to process in parallel.", "default": 5 } } }, "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 } } } } } } } } } } ```