# Youtube Video Comments Scraper (`bhansalisoft/youtube-video-comments-scraper`) Actor Youtube Comments Scraper : Scrap all comments with user detail and video information from any youtube video url - **URL**: https://apify.com/bhansalisoft/youtube-video-comments-scraper.md - **Developed by:** [bhansalisoft](https://apify.com/bhansalisoft) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 7 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $15.00/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 ## YouTube Comments Scraper Youtube Comments Scraper is usefull tools for scraping comments with all youtube username detail and video detail scrap. ### Included features - ✅ Scrap Unlimited Comments from any Youtube Videos. - ✅ Scrap Youtube UserName which comment on Video so it will be usefull to follow that account and increase your youtube presense. - ✅ **Video metadata extraction** - Gets video title, channel name, and description - ✅ **Unlimited mode** - Set `max_comments: 0` to extract all available comments - ✅ **Proxy support** - Use `apify://auto` for Apify Proxy to avoid bot detection - ✅ **Bot detection avoidance** - Stealth browser configuration and anti-detection measures Our tool Fetch Below detail from Youtube Video - ✅ Comment Text - ✅ UserName - ✅ Comment published_time - ✅ Comment likes Count - ✅ Comment Replie Count - ✅ Video Url - ✅ Video Title - ✅ Video Channel Name - ✅ User Th - ✅ Comment Thumbnail Image ### Sample Data format ```` \[ { "Comment": "can confirm: he never gave us up", "UserName": "@YouTube", "published\_time": "@YouTube", "likes": "125K", "replies\_count": "959", "video\_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "video\_title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)", "channel\_name": "Rick Astley", "User\_thumbnail": "https://yt3.ggpht.com/qyk46Tghzh6pu38WDItFln1hnbDe1GGsTfXj0OQrYtzGkQ0IDrgHtxdY9tK1OQpS2Rbh9EiuXw=s88-c-k-c0x00ffffff-no-rj" }, { "Comment": "lol I scanned the QR code on a sweater in a thrift store and here I am", "UserName": "@diegoisthename", "published\_time": "@diegoisthename", "likes": "381", "replies\_count": "10", "video\_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "video\_title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)", "channel\_name": "Rick Astley", "User\_thumbnail": "https://yt3.ggpht.com/7KKKv3kD7WoB5-AIV85ASs1AY1VVzaV6w78QCkqYb1RlxsbUBiMH\_MrGZjAMZxea53E3yphoxw=s88-c-k-c0x00ffffff-no-rj" }, ] ```` ### How to use Search Using below parameter. - [YouTube Video URL] : Insert any Youtube video url. - [Max comments] : insert how much comment you want, if you set 0 then it will extract unlimited comments. - [Proxy URL] : our tool support proxy. Proxy URL (leave empty for no proxy, use 'apify://auto' for Apify datacenter proxy - RECOMMENDED to avoid bot detection), e.g., http://user:pass@host:port ### check Demo Video https://youtu.be/2mviIX4_FQw ### Support Email if face any issue send us email at bhansalisoft781986@gmail.com # Actor input Schema ## `video_url` (type: `string`): The full URL of the YouTube video (e.g., https://www.youtube.com/watch?v=dQw4w9WgXcQ) ## `max_comments` (type: `integer`): Maximum number of comments to collect. Set to 0 for unlimited (extract all available comments). ## `proxySettings` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "max_comments": 200, "proxySettings": { "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 = { "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "proxySettings": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("bhansalisoft/youtube-video-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 = { "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "proxySettings": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("bhansalisoft/youtube-video-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 '{ "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "proxySettings": { "useApifyProxy": false } }' | apify call bhansalisoft/youtube-video-comments-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bhansalisoft/youtube-video-comments-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Youtube Video Comments Scraper", "description": "Youtube Comments Scraper : Scrap all comments with user detail and video information from any youtube video url", "version": "0.0", "x-build-id": "wAHQZtFvtJCnh8EJQ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bhansalisoft~youtube-video-comments-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bhansalisoft-youtube-video-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/bhansalisoft~youtube-video-comments-scraper/runs": { "post": { "operationId": "runs-sync-bhansalisoft-youtube-video-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/bhansalisoft~youtube-video-comments-scraper/run-sync": { "post": { "operationId": "run-sync-bhansalisoft-youtube-video-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": [ "video_url" ], "properties": { "video_url": { "title": "YouTube Video URL", "minLength": 10, "type": "string", "description": "The full URL of the YouTube video (e.g., https://www.youtube.com/watch?v=dQw4w9WgXcQ)" }, "max_comments": { "title": "Max comments", "minimum": 0, "maximum": 20000, "type": "integer", "description": "Maximum number of comments to collect. Set to 0 for unlimited (extract all available comments).", "default": 200 }, "proxySettings": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```