# YouTube Scraper (By Keyword) - ⭐⭐⭐⭐⭐ Fast & cheap (`scrapestorm/youtube`) Actor Alternative YouTube API for unlimited access: Crawl and scrape YouTube videos to extract and download details such as channel name, likes, view count, and subscriber count without any limits or quotas. - **URL**: https://apify.com/scrapestorm/youtube.md - **Developed by:** [Storm\_Scraper](https://apify.com/scrapestorm) (community) - **Categories:** Social media, Automation, News - **Stats:** 116 total users, 1 monthly users, 100.0% runs succeeded, 11 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $9.90/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 Video Data Scraper The YouTube Video Data Scraper is a powerful tool designed to extract data from specific YouTube videos. By providing the URL of a video, you can retrieve: Video title 📛 Video URL 🌐 Thumbnail URL 🖼️ Channel name 📺 Date of publication 📅 View count (both text and numeric) 👁️‍🗨️ Video duration ⏱️ Other additional information about the video and the channel ℹ️ 📩 If you want to increase the number of results per search, please leave us a message or contact us at randomus075@gmail.com ### 🛠️ How to Use Enter Data: Input the keyword of the YouTube videos you wish to scrape. Start Scraping: Click the "Start" button to begin the scraping process. The scraper will navigate to the video and extract the data. Download Your Data: Once the extraction is complete, download the results in the format that suits you best (JSON, CSV, XML, HTML, etc.). ### 💸 Pricing This scraper operates on a pay-per-month basis at a cost of 9.90$/month. ### Related Actors ℹ️ If you're interested in other YouTube scraping solutions, check out these related actors: - [💬 YouTube Comments Scraper](https://apify.com/scrapestorm/youtube-comments-scraper---rental-fast-and-cheap) - [🏎 YouTube Scraper (By Keyword) ](https://apify.com/scrapestorm/youtube) - [🔴 Youtube Channel Scraper (Rental)](https://apify.com/scrapestorm/youtube-channel-scraper) - [🌐 Youtube Shorts Scraper 📺 (Rental)](https://apify.com/scrapestorm/youtube-shorts-scraper-rental---fast-cheap) --- You can even apply sentiment analysis on the transcript text we've extracted! 😃📊: - [Sentiment Analysis Text Classification 📈](https://apify.com/scrapestorm/sentiment-analysis-text-classification) ### 🔑 Youtube Scraper Input The YouTube Video Data Scraper requires a specific input format: a JSON object with the URL of the YouTube video you wish to scrape. ```` { "keyword": \[ "Artificial intelligence" ] } ``` ### 📊 YouTube Scraper Data Output The YouTube Video Data Scraper will extract the following information and store it in the Apify dataset. After the run is finished, you can download the data in various formats, including JSON, CSV, XML, RSS, and HTML Table. ``` { "Title": "Awesome Video Title", "Video URL": "https://www.youtube.com/watch?v=XXXXXXXXXXX", "Thumbnail URL": "https://i.ytimg.com/vi/XXXXXXXXXXX/maxresdefault.jpg", "Channel": "Awesome Channel", "Date of publication": "2024-11-13", "View count (text)": "1.2M views", "View count (integer)": 1200000, "Duration": "10:23", "Duration label": "10 minutes and 23 seconds", "Channel name": "Awesome Channel", "Link to channel": "https://www.youtube.com/c/AwesomeChannel" } ```` # Actor input Schema ## `keyword` (type: `string`): The keyword you want to use to get video metadata from YouTube. ## Actor input object example ```json { "keyword": "USA" } ```` # 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 = { "keyword": "USA" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapestorm/youtube").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 = { "keyword": "USA" } # Run the Actor and wait for it to finish run = client.actor("scrapestorm/youtube").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 '{ "keyword": "USA" }' | apify call scrapestorm/youtube --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapestorm/youtube", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Scraper (By Keyword) - ⭐⭐⭐⭐⭐ Fast & cheap", "description": "Alternative YouTube API for unlimited access: Crawl and scrape YouTube videos to extract and download details such as channel name, likes, view count, and subscriber count without any limits or quotas.", "version": "0.0", "x-build-id": "QBezUZmyJ9U4sufiL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapestorm~youtube/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapestorm-youtube", "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/scrapestorm~youtube/runs": { "post": { "operationId": "runs-sync-scrapestorm-youtube", "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/scrapestorm~youtube/run-sync": { "post": { "operationId": "run-sync-scrapestorm-youtube", "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": [ "keyword" ], "properties": { "keyword": { "title": "The keyword you want to use to get video metadata from YouTube.", "type": "string", "description": "The keyword you want to use to get video metadata from YouTube.", "default": "" } } }, "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 } } } } } } } } } } ```