# Youtube Search Scraper (`scraper_one/youtube-search-scraper`) Actor This Apify Actor performs a YouTube video search based on a given keyword or phrase, and extracts detailed metadata for each video found. - **URL**: https://apify.com/scraper\_one/youtube-search-scraper.md - **Developed by:** [Scraper One](https://apify.com/scraper_one) (community) - **Categories:** Videos, Developer tools, SEO tools - **Stats:** 305 total users, 25 monthly users, 100.0% runs succeeded, 17 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.20 / 1,000 result items This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## YouTube Search Scraper ![Apify Actor](https://img.shields.io/badge/Apify-Actor-blue) This **Apify Actor** performs a YouTube video search based on a given **keyword** or **phrase**, and extracts detailed metadata for each video found. Results include video title, URL, thumbnail, channel name, duration, view count, publish time, interpolated timestamp, and a short description snippet. Ideal for **trend tracking**, **market research**, **content discovery**, or monitoring topics of interest on YouTube. Discover **high-performing videos** in your niche and understand viewer engagement and timing patterns. 🎯 --------------- ### Features - 🔍 Search YouTube by **keywords** - ⏳ Filter by **time window**, **features**, **time window**, **upload date**, **druation** - 📸 Extract **video thumbnails** - 📸 Sort by **Relevance**, **Upload date**, **View count**, **Rating** - 📊 Retrieve **view counts**, **durations**, **publish dates** and more - 📝 Grab **description snippets** for quick context ### Input Parameters | Parameter | Type | Required | Description | |----------------|----------|----------|--------------------------------------------------------------------------------------------------------------------| | `query` | `string` | ✅ | Search query to look for videos. Can be a keyword or phrase. | | `resultsCount` | `number` | ❌ | Maximum number of videos to extract. If not set, only a few of the first videos will be returned. | | `uploadDate` | `string` | ❌ | Search for videos uploaded within specified dates only (Last hour, Today etc.). | | `features` | `string` | ❌ | Apply Features filter to searched videos (Live, 4K, HD etc.). | | `sortBy` | `string` | ❌ | Apply sorting to searched videos. If not selected, defaults to platform default: 'relevancy'. | | `duration` | `string` | ❌ | Apply Duration filter to searched videos ("Under 4 minutes", "4-20 minutes", "Over 20 minutes".). | #### Example Input ```json { "query": "Trump", "resultsCount": 10 } ```` ### Output Data The actor returns an array of JSON objects representing individual YouTube videos with enriched metadata. #### Example Output ```json [ { "id": "lawvcQd3syc", "url": "https://www.youtube.com/watch?v=lawvcQd3syc", "title": "Trump’s tariff triumph as a mind-blowing 50 world leaders beg to negotiate with the president", "thumbnailUrl": "https://i.ytimg.com/vi/lawvcQd3syc/hq720.jpg", "channelName": "Sky News Australia", "length": 418, "viewCount": 367429, "publishedTimeText": "16 hours ago", "interpolatedTimestamp": 1744000134634, "descriptionSnippet": "Donald Trump's tariffs are causing mass hysteria across the globe..." } ] ``` ### Usage 1. **Sign in to Apify** and open the YouTube Search Scraper actor page. 2. **Input your search parameters** (query, resultsCount, sorting type, features, duration, etc.). 3. **Run the actor** from the UI or via API. 4. **Download results** in JSON, CSV, or Excel format. ### Limitations & Notes - YouTube's structure may change; this actor targets current layouts. - Results depend on YouTube's public search – private/unlisted videos are not included. - Use responsibly and comply with [YouTube's Terms of Service](https://www.youtube.com/t/terms). - Rate-limited – Free users can make only a few requests per day. **Contact us if you need higher or custom limits!** ### Best Use Case Flow - 🔍 Use this actor to find YouTube videos by keyword - 📥 Pipe video URLs into a **YouTube Comments Scraper** to extract replies - 📊 Analyze engagement, comments, and popularity over time ### Other Recommended Scrapers - 🐦 [X (Twitter) Posts Search](https://apify.com/scraper_one/x-posts-search) — Find posts/tweets based on keywords, hashtags, and more - 🐦 [X (Twitter) Post Replies Scraper](https://apify.com/scraper_one/x-post-replies-scraper) — Scrap replies of multiple X (Twitter) posts - 🐦 [X (Twitter) Profile Posts Scraper](https://apify.com/scraper_one/x-profile-posts-scraper) — Scrap posts of specific X (Twitter) profile - 📘 [Facebook Posts Search](https://apify.com/scraper_one/facebook-posts-search) — Discover Facebook posts for a given topic or page - 📘 [Facebook Comments Scraper](https://apify.com/scraper_one/facebook-comments-scraper) — Extract comments from public Facebook posts - 📘 [Facebook Reactions Scraper](https://apify.com/scraper_one/facebook-reactions-scraper) — Scrap reactions from Facebook posts (like, sad, haha, angry etc.) - 📘 [Facebook Posts Scraper](https://apify.com/scraper_one/facebook-posts-scraper) — Scrap posts from Facebook pages, groups etc. - 🎬 [YouTube Search Scraper](https://apify.com/scraper_one/youtube-search-scraper) — Extract videos from search queries - 🎬 [YouTube Downloader](https://apify.com/scraper_one/yt-downloader) — Download youtube videos - 🎬 [YouTube Comments Scraper](https://apify.com/scraper_one/youtube-comments-scraper) — Extract comments from posted videos ### Support & Contact 📬 Need help or want to suggest a feature? Open an issue or contact us at **scraper1one@gmail.com** # Actor input Schema ## `query` (type: `string`): The search term to look for. ## `resultsCount` (type: `integer`): Number of search results to retrieve (between 1 and 100). If not set, only a few of the first videos will be returned. ## `uploadDate` (type: `string`): Search for videos uploaded within specified dates only. ## `sortType` (type: `string`): Apply sorting to searched videos. If not selected, defaults to platform default: 'relevancy' ## `features` (type: `string`): Apply Features filter to searched videos. ## `duration` (type: `string`): Apply Duration filter to searched videos. ## Actor input object example ```json { "query": "Tesla", "resultsCount": 10 } ``` # Actor output Schema ## `results` (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 = { "query": "Tesla", "resultsCount": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("scraper_one/youtube-search-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 = { "query": "Tesla", "resultsCount": 10, } # Run the Actor and wait for it to finish run = client.actor("scraper_one/youtube-search-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 '{ "query": "Tesla", "resultsCount": 10 }' | apify call scraper_one/youtube-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scraper_one/youtube-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Youtube Search Scraper", "description": "This Apify Actor performs a YouTube video search based on a given keyword or phrase, and extracts detailed metadata for each video found.", "version": "0.0", "x-build-id": "KaP7rFYHIyQh808uH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scraper_one~youtube-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scraper_one-youtube-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scraper_one~youtube-search-scraper/runs": { "post": { "operationId": "runs-sync-scraper_one-youtube-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scraper_one~youtube-search-scraper/run-sync": { "post": { "operationId": "run-sync-scraper_one-youtube-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "query" ], "properties": { "query": { "title": "Search Query", "minLength": 1, "maxLength": 30, "type": "string", "description": "The search term to look for." }, "resultsCount": { "title": "Number of results", "minimum": 1, "maximum": 100, "type": "integer", "description": "Number of search results to retrieve (between 1 and 100). If not set, only a few of the first videos will be returned." }, "uploadDate": { "title": "Upload Date", "enum": [ "today", "thisWeek", "thisMonth", "thisYear" ], "type": "string", "description": "Search for videos uploaded within specified dates only." }, "sortType": { "title": "Sort Type", "enum": [ "relevance", "popularity" ], "type": "string", "description": "Apply sorting to searched videos. If not selected, defaults to platform default: 'relevancy'" }, "features": { "title": "Video Features", "enum": [ "live", "4k", "hd", "subtitles", "creativeCommons", "360", "vr180", "3d", "hdr", "location", "purchased" ], "type": "string", "description": "Apply Features filter to searched videos." }, "duration": { "title": "Duration", "enum": [ "underThreeMinutes", "threeToTwentyMinutes", "overTwentyMinutes" ], "type": "string", "description": "Apply Duration filter to searched videos." } } }, "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 } } } } } } } } } } ```