# YouTube Video Details Scraper (`logiover/youtube-video-details-scraper`) Actor Get full metadata for any YouTube video in bulk: title, exact view count, description, tags/keywords, category, publish date, duration, channel and thumbnail. No login, no API key. Feed URLs or IDs. Export to JSON/CSV/Excel. - **URL**: https://apify.com/logiover/youtube-video-details-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (community) - **Categories:** Social media, Videos, SEO tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 1,000 results 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 Video Details Scraper ๐ŸŽฌ โ€” Views, Likes, Tags & Metadata (No Login, No API Key) **Get complete metadata for any YouTube video** in bulk โ€” **exact view count, like count, full description, tags/keywords, category, publish date, duration, channel and thumbnail**. This **YouTube video data scraper** takes video URLs or IDs and exports to **JSON, CSV or Excel**. No login, no cookies, no Google API key, no quota. Hydrate thousands of video IDs in a single run. > โœ… No login ยท No API key ยท Exact views & likes ยท Full description & tags ยท Bulk hydration --- ### Why use this YouTube video details scraper? - **Exact numbers.** Real view counts (e.g. `9,023,750,780`) and like counts โ€” not the abbreviated `9B` shown in listings. - **Full description & tags.** The complete video description plus every keyword/tag the creator set โ€” gold for **video SEO**. - **Rich metadata.** Category, publish & upload date, duration (seconds + formatted), live flag, family-safe flag, channel and thumbnail. - **Bulk hydration.** Pass thousands of IDs/URLs โ€” ideal downstream of the Channel or Search scrapers. - **No API quota.** The official YouTube Data API burns quota per video; this has no such cap. --- ### How to scrape YouTube video data (step by step) No code required. Here's how to **get YouTube video metadata in bulk**: 1. **Open the actor** on Apify and click **Try for free**. 2. **Paste video URLs or IDs** into the `videos` field (watch links, `youtu.be`, Shorts, or bare IDs). 3. *(Optional)* Toggle `includeLikes`. 4. Click **Start**. 5. **Export** the metadata to CSV, Excel or JSON โ€” or pull it via the Apify API. **Building a pipeline?** Collect IDs with the **YouTube Channel Scraper** or **YouTube Search Scraper**, then hydrate them here into full records. --- ### What data can you extract from a YouTube video? | Data point | Field | Example | |------------|-------|---------| | Title | `title` | `"Luis Fonsi - Despacito"` | | Views (exact) | `viewCount` | `9023750780` | | Likes | `likeCount` | `56243495` | | Description (full) | `description` | `"Despacito disponible yaโ€ฆ"` | | Tags / keywords | `keywords` | `["despacito","luis fonsi",โ€ฆ]` | | Category | `category` | `"Music"` | | Publish date (ISO) | `publishDate` | `"2017-01-12Tโ€ฆ"` | | Duration | `duration` / `lengthSeconds` | `"4:42"` / `282` | | Channel | `channelTitle` / `channelId` | `"LuisFonsiVEVO"` | | Thumbnail (max-res) | `thumbnail` | `https://i.ytimg.com/โ€ฆ/maxresdefault.jpg` | --- ### Use cases - **Video SEO & tag research** โ€” pull the tags, titles and descriptions of top-ranking videos for a keyword. - **Competitor content analysis** โ€” compare exact views, likes, durations and categories across a set of videos. - **Dataset enrichment** โ€” hydrate `videoId`s from the Channel/Search scrapers into full records. - **Trend & performance tracking** โ€” schedule it to snapshot view/like growth over time. - **AI / analytics pipelines** โ€” clean, structured per-video facts for models and dashboards. --- ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `videos` | `string[]` | โ€” | Video URLs or 11-char IDs. | | `includeLikes` | `boolean` | `true` | Try to extract the like count (best-effort). | | `maxResults` | `integer` | `0` | Cap on videos saved. | #### Example input ```json { "videos": [ "https://www.youtube.com/watch?v=kJQP7kiw5Fk", "https://youtu.be/9bZkp7q19f0", "dQw4w9WgXcQ" ], "includeLikes": true } ```` #### Example output ```json { "videoId": "kJQP7kiw5Fk", "title": "Luis Fonsi - Despacito ft. Daddy Yankee", "viewCount": 9023750780, "likeCount": 56243495, "lengthSeconds": 282, "duration": "4:42", "category": "Music", "publishDate": "2017-01-12T00:00:00-08:00", "keywords": ["despacito", "luis fonsi", "daddy yankee"], "channelTitle": "LuisFonsiVEVO" } ``` *** ### How it works This **YouTube metadata extractor** loads each video's public watch page and parses the embedded video data (the same the page renders with). That route returns **exact view counts, full descriptions, tags and category** reliably. Like counts are read best-effort from the page data. Built-in retries handle hiccups; private/unavailable videos are skipped with a logged reason. *** ### Frequently asked questions **Do I need a YouTube API key to get video details?** No โ€” no key, no login, and no Google API quota. **Are the view counts exact?** Yes โ€” exact integers, not the abbreviated counts shown in search/channel listings. **Can I get the like count?** Yes, for most videos (`includeLikes: true`). Some creators/categories hide the count, in which case `likeCount` is `null`. **Can I scrape video tags / keywords for SEO?** Yes โ€” the `keywords` field returns every tag the creator set. **Can I scrape video details in bulk?** Yes โ€” pass thousands of URLs/IDs in one run. Pair with the Channel or Search scraper to collect them. **Is scraping YouTube video data legal?** The actor collects only **public** video metadata. Use it in line with YouTube's Terms and applicable laws. *** ### Limits & notes - Like counts are **best-effort** โ€” most videos expose them, some hide the count (then `null`). - Private, deleted or age-restricted videos can't be read and are skipped. - For **comments** use the YouTube Comments Scraper; for a channel's **full video list** use the YouTube Channel Scraper. *** ### The complete YouTube scraping toolkit - **[YouTube Channel Scraper](https://apify.com/logiover/youtube-channel-scraper)** โ€” all videos of a channel - **[YouTube Search Scraper](https://apify.com/logiover/youtube-search-scraper)** โ€” find videos by keyword - **[YouTube Comments Scraper](https://apify.com/logiover/youtube-comments-scraper)** โ€” all comments for a video - **[YouTube Influencer Discovery](https://apify.com/logiover/youtube-influencer-discovery-scraper)** โ€” creators with engagement & contacts *** ### ๐Ÿ’ฐ Pricing Pay-per-result โ€” you only pay for the videos you actually get. No proxy or YouTube API costs. ### ๐Ÿ†˜ Support Need engagement rate, comment counts, or chapter/timestamp extraction per video? Open an issue on the actor's page. # Actor input Schema ## `videos` (type: `array`): YouTube videos to fetch metadata for. Watch URLs, youtu.be links, Shorts URLs, or bare 11-character video IDs. Add as many as you like. ## `includeLikes` (type: `boolean`): Also fetch the like count for each video (best-effort โ€” YouTube hides it for some videos/categories, then null). ## `maxResults` (type: `integer`): Cap on videos saved. 0 = unlimited. ## `proxyConfiguration` (type: `object`): Apify Proxy settings. RESIDENTIAL proxy is strongly recommended โ€” it reliably unlocks full details (tags, category, duration, likes) for every video, including music/Vevo videos that block datacenter IPs. Without it, the actor still returns core fields (title, exact views, channel, date) for every video. ## Actor input object example ```json { "videos": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "includeLikes": true, "maxResults": 0, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `title` (type: `string`): Video title ## `channelTitle` (type: `string`): Channel name ## `viewCount` (type: `string`): Exact view count ## `duration` (type: `string`): Duration ## `category` (type: `string`): Video category ## `publishDate` (type: `string`): Publish date ## `keywords` (type: `string`): Video tags ## `videoId` (type: `string`): Video ID ## `url` (type: `string`): Video URL ## `scrapedAt` (type: `string`): Timestamp # 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 = { "videos": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/youtube-video-details-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 = { "videos": ["https://www.youtube.com/watch?v=dQw4w9WgXcQ"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("logiover/youtube-video-details-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 '{ "videos": [ "https://www.youtube.com/watch?v=dQw4w9WgXcQ" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call logiover/youtube-video-details-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/youtube-video-details-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Video Details Scraper", "description": "Get full metadata for any YouTube video in bulk: title, exact view count, description, tags/keywords, category, publish date, duration, channel and thumbnail. No login, no API key. Feed URLs or IDs. Export to JSON/CSV/Excel.", "version": "1.0", "x-build-id": "kQhVoWV6oCaQIV0fz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~youtube-video-details-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-youtube-video-details-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/logiover~youtube-video-details-scraper/runs": { "post": { "operationId": "runs-sync-logiover-youtube-video-details-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/logiover~youtube-video-details-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-youtube-video-details-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "videos" ], "properties": { "videos": { "title": "Video URLs or IDs", "type": "array", "description": "YouTube videos to fetch metadata for. Watch URLs, youtu.be links, Shorts URLs, or bare 11-character video IDs. Add as many as you like.", "default": [], "items": { "type": "string" } }, "includeLikes": { "title": "Include like count", "type": "boolean", "description": "Also fetch the like count for each video (best-effort โ€” YouTube hides it for some videos/categories, then null).", "default": true }, "maxResults": { "title": "Max results", "minimum": 0, "type": "integer", "description": "Cap on videos saved. 0 = unlimited.", "default": 0 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy settings. RESIDENTIAL proxy is strongly recommended โ€” it reliably unlocks full details (tags, category, duration, likes) for every video, including music/Vevo videos that block datacenter IPs. Without it, the actor still returns core fields (title, exact views, channel, date) for every video.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```