# Youtube Trending Scraper (`scrapeengine/youtube-trending-scraper`) Actor 📈 YouTube Trending Scraper (youtube-trending-scraper) extracts real-time trending videos by country & category—titles, channels, views, likes, tags, thumbnails, publish date & URLs. 🔎 Ideal for content strategy, SEO & competitor analysis. ⚡ Fast, reliable, API/CSV-ready. - **URL**: https://apify.com/scrapeengine/youtube-trending-scraper.md - **Developed by:** [ScrapeEngine](https://apify.com/scrapeengine) (community) - **Categories:** Automation, Lead generation, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $19.99/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 Trending Scraper The Youtube Trending Scraper is a production-grade Apify actor that discovers and extracts real-time YouTube trending videos by country and category — complete with titles, channels, views, likes, tags, thumbnails, publish/upload dates, and URLs. It solves the challenge of reliably tracking what’s hot across regions by acting as a YouTube trending videos scraper and YouTube trending data extractor with structured, export-ready results. Built for marketers, developers, data analysts, and researchers, it enables always-on monitoring at scale — a dependable YouTube trending list scraper for strategy, SEO, and competitor analysis. 🚀 ### What data / output can you get? Below are the exact fields this YouTube trending crawler returns. You can export your dataset in JSON, CSV, or Excel directly from Apify. | Data type | Description | Example value | | --- | --- | --- | | type | Record type | "video" | | id | YouTube video ID | "2dmCaK0qslM" | | title | Video title | "Epic Boss Battle – Full Walkthrough" | | status | Extraction status | "OK" | | url | Watch URL | "https://www.youtube.com/watch?v=2dmCaK0qslM" | | description | Video description | "Join us for a full gameplay..." | | duration | Duration in seconds (int or null) | 8940 | | views | View count (string) | "1487513" | | likes | Like count (string) | "124690" | | comments | Comment count (string) | "1K" | | channel.id | Channel ID | "UCE-8FgcXvnAsb2EG1FizSyg" | | channel.name | Channel name | "GameMaster # Actor input Schema ## `startUrls` (type: `array`): ✅ Put one 2-letter country code per line (US, GB, IN, BD, JP, …). 🗺️ Each line = that region’s trending chart. Unknown text → US; a youtube.com link with &gl=XX uses region XX. ✨ Tip: mix regions to compare what’s hot worldwide. ## `contentType` (type: `string`): 🎵 Which vertical chart to read: music, gaming, movies, sports, or entertainment. 🎯 Default is gaming—switch to music or sports to match what you’re tracking. ## `maxVideosPerInput` (type: `integer`): 📹 Max trending videos to keep per country row (default 10). ♾️ Set 0 for unlimited (all IDs returned for that region’s page). ⚡ Lower = faster and lighter; higher = fuller sample. ## `proxyConfiguration` (type: `object`): 🌍 Route traffic through Apify Proxy so YouTube is less likely to block or return thin pages. 🔄 Leave off for a direct run; if things get blocked, the actor can still step up through datacenter → residential automatically. ## Actor input object example ```json { "startUrls": [ "US" ], "contentType": "gaming", "maxVideosPerInput": 10, "proxyConfiguration": { "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 = { "startUrls": [ "US" ], "proxyConfiguration": { "useApifyProxy": false } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapeengine/youtube-trending-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 = { "startUrls": ["US"], "proxyConfiguration": { "useApifyProxy": False }, } # Run the Actor and wait for it to finish run = client.actor("scrapeengine/youtube-trending-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 '{ "startUrls": [ "US" ], "proxyConfiguration": { "useApifyProxy": false } }' | apify call scrapeengine/youtube-trending-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapeengine/youtube-trending-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Youtube Trending Scraper", "description": "📈 YouTube Trending Scraper (youtube-trending-scraper) extracts real-time trending videos by country & category—titles, channels, views, likes, tags, thumbnails, publish date & URLs. 🔎 Ideal for content strategy, SEO & competitor analysis. ⚡ Fast, reliable, API/CSV-ready.", "version": "0.1", "x-build-id": "73gGzzatRaFNTogWm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapeengine~youtube-trending-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapeengine-youtube-trending-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapeengine~youtube-trending-scraper/runs": { "post": { "operationId": "runs-sync-scrapeengine-youtube-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapeengine~youtube-trending-scraper/run-sync": { "post": { "operationId": "run-sync-scrapeengine-youtube-trending-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "startUrls" ], "properties": { "startUrls": { "title": "🌍 Country codes (one per row)", "type": "array", "description": "✅ Put one 2-letter country code per line (US, GB, IN, BD, JP, …).\n\n🗺️ Each line = that region’s trending chart. Unknown text → US; a youtube.com link with &gl=XX uses region XX.\n\n✨ Tip: mix regions to compare what’s hot worldwide.", "items": { "type": "string" } }, "contentType": { "title": "🎮 Trending category", "enum": [ "music", "gaming", "movies", "sports", "entertainment" ], "type": "string", "description": "🎵 Which vertical chart to read: music, gaming, movies, sports, or entertainment.\n\n🎯 Default is gaming—switch to music or sports to match what you’re tracking.", "default": "gaming" }, "maxVideosPerInput": { "title": "🔢 Videos per country row", "minimum": 0, "type": "integer", "description": "📹 Max trending videos to keep per country row (default 10).\n\n♾️ Set 0 for unlimited (all IDs returned for that region’s page).\n\n⚡ Lower = faster and lighter; higher = fuller sample.", "default": 10 }, "proxyConfiguration": { "title": "🛡️ Proxies (recommended)", "type": "object", "description": "🌍 Route traffic through Apify Proxy so YouTube is less likely to block or return thin pages.\n\n🔄 Leave off for a direct run; if things get blocked, the actor can still step up through datacenter → residential automatically." } } }, "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 } } } } } } } } } } ```