# YouTube Comments Scraper - No Login, Replies & Likes (`dami_studio/youtube-comments-scraper`) Actor Scrape comments from any YouTube video with no login, key or cookies. Returns text, likes, replies, author, verified status and timestamps. Cheaper datacenter proxy, pay per comment, failed runs are free. Export JSON, CSV, Excel or Notion. - **URL**: https://apify.com/dami\_studio/youtube-comments-scraper.md - **Developed by:** [Dami's Studio](https://apify.com/dami_studio) (community) - **Categories:** Social media, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## โšก YouTube Comments Scraper โ€” Every Comment, No Login, No API Key **Pull comments from any YouTube video without a login, API key, cookies, or quota.** Paste **watch URLs** (or bare **video IDs**) and get back every comment โ€” **text, like count, reply count, author, verified status, timestamp** and more. Export to **JSON, CSV or Excel**, call it from the **API**, or have results delivered straight to **Notion**. **Just $0.25 per 1,000 comments**, billed per comment actually returned. > No Google account. No OAuth. No Data API key to register. No daily quota. Paste a video link and run. ### Why this scraper wins - ๐Ÿ”“ **Keyless & login-free** โ€” no Google sign-in, no OAuth, no YouTube Data API key, and **none of the API's 10,000-unit daily quota**. - ๐Ÿ’ธ **Cheaper & unlimited** โ€” the official Data API caps you and rate-limits hard; this pulls thousands of comments per video for **$0.25 / 1,000**, and empty/failed runs cost nothing. - ๐Ÿงน **Clean, flat records** โ€” one tidy object per comment, ready for sheets, sentiment analysis, dashboards or LLM pipelines. - ๐Ÿงต **Replies included** โ€” top-level comments and replies, each flagged with `isReply`. - ๐Ÿ“ฌ **Built-in Notion delivery** โ€” push every run into Notion via Apify connectors, zero extra code. - ๐Ÿšฆ **Honest errors** โ€” a clear diagnostic row (`NO_RESULTS`, `BLOCKED`, `RATE_LIMITED`, `NETWORK`) when a video has comments disabled or YouTube throttles, instead of silent emptiness. ### What you can scrape | Input | Accepts | Returns | |---|---|---| | **Video URLs** | `https://www.youtube.com/watch?v=...`, `youtu.be/...`, `/shorts/...` | Comments on each video | | **Video IDs** | bare 11-char IDs (e.g. `dQw4w9WgXcQ`) | Comments on each video | You can mix multiple videos in one run; `maxComments` is split fairly across them. ### Input - **`videoUrls`** โ€” YouTube watch / short / `youtu.be` URLs to scrape comments from. - **`videoIds`** โ€” or bare 11-character video IDs. - **`maxComments`** โ€” total comments to pull across all videos (default `100`, max `10000`). You pay per comment. - **`proxyConfiguration`** โ€” Apify Proxy (datacenter is plenty for YouTube; preconfigured). - **`notionConnector`** / **`notionParentId`** โ€” optional Notion delivery (connector ID + data-source ID). ### Output (one record per comment) ```json { "type": "comment", "id": "UgxKREWxIgDrw8w2e_Z4AaABAg", "videoId": "dQw4w9WgXcQ", "text": "Never gonna give this song up ๐ŸŽถ", "publishedTime": "2 weeks ago", "likeCount": "1.2K", "replyCount": "34", "isReply": false, "author": "@musicfan", "authorChannelId": "UCabc123...", "authorIsVerified": false, "authorAvatar": "https://yt3.ggpht.com/...=s48" } ```` ### Pricing **$0.25 per 1,000 comments** (pay-per-event). You are charged only for comments actually returned โ€” videos with comments disabled or blocked runs cost nothing. ### FAQ **Do I need a YouTube or Google account?** No. Public videos' comments are scraped keyless โ€” no login, OAuth, or Data API key. **How is this different from the official YouTube Data API?** The Data API requires a registered key and burns a tight 10,000-unit daily quota. This actor needs neither and pulls comments far past those limits for a flat per-comment price. **Are replies included?** Yes. Both top-level comments and replies are returned, each marked with `isReply`. **A video returned a `NO_RESULTS` row โ€” why?** That video has comments disabled or unavailable. The actor tells you exactly what happened instead of failing silently. **Can I deliver straight to Notion?** Yes โ€” supply a `notionConnector` ID and `notionParentId` and every comment is pushed to your Notion data source automatically. # Actor input Schema ## `videoUrls` (type: `array`): YouTube watch URLs to scrape comments from. ## `videoIds` (type: `array`): Or bare 11-char video IDs. ## `maxComments` (type: `integer`): Max comments across all videos. Charged per comment. ## `proxyConfiguration` (type: `object`): Apify proxy (datacenter) is fine for YouTube. ## `notionConnector` (type: `string`): Optional Notion delivery. ## `notionParentId` (type: `string`): Optional Notion data-source id. ## Actor input object example ```json { "videoUrls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "videoIds": [ "dQw4w9WgXcQ" ], "maxComments": 100, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `results` (type: `string`): Comments in the default dataset. # 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=dQw4w9WgXcQ" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dami_studio/youtube-comments-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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=dQw4w9WgXcQ"] } # Run the Actor and wait for it to finish run = client.actor("dami_studio/youtube-comments-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "videoUrls": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ] }' | apify call dami_studio/youtube-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dami_studio/youtube-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Comments Scraper - No Login, Replies & Likes", "description": "Scrape comments from any YouTube video with no login, key or cookies. Returns text, likes, replies, author, verified status and timestamps. Cheaper datacenter proxy, pay per comment, failed runs are free. Export JSON, CSV, Excel or Notion.", "version": "0.1", "x-build-id": "dEK0JoMZ96m8kReNx" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dami_studio~youtube-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dami_studio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dami_studio~youtube-comments-scraper/runs": { "post": { "operationId": "runs-sync-dami_studio-youtube-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dami_studio~youtube-comments-scraper/run-sync": { "post": { "operationId": "run-sync-dami_studio-youtube-comments-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "videoUrls": { "title": "Video URLs", "type": "array", "description": "YouTube watch URLs to scrape comments from.", "items": { "type": "string" } }, "videoIds": { "title": "Video IDs", "type": "array", "description": "Or bare 11-char video IDs.", "items": { "type": "string" } }, "maxComments": { "title": "Max comments", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Max comments across all videos. Charged per comment.", "default": 100 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Apify proxy (datacenter) is fine for YouTube.", "default": { "useApifyProxy": true } }, "notionConnector": { "title": "Notion connector ID (optional)", "type": "string", "description": "Optional Notion delivery." }, "notionParentId": { "title": "Notion data-source ID (optional)", "type": "string", "description": "Optional Notion data-source id." } } }, "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 } } } } } } } } } } ```