# YouTube Video Details Scraper (`scrapers-hub/youtube-video-details-scraper`) Actor πŸ” YouTube Video Details Scraper extracts key metadata from YouTube videosβ€”title, channel, tags, views, likes, comments & more. πŸš€ Great for market research, SEO audits, competitor analysis & content insights. βœ… Fast & reliable. - **URL**: https://apify.com/scrapers-hub/youtube-video-details-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Videos, SEO tools, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 πŸš€ Are you looking for a powerful and reliable way to extract comprehensive information from any video on the platform? Look no further! The **YouTube Video Details Scraper** is a professional-grade solution designed to provide deep insights into video content, channel performance, and engagement metrics. Whether you are a researcher, a marketer, or a content creator, this **YouTube Video Details Scraper** will help you gather the data you need in seconds. πŸ“Š In the modern digital landscape, data is king. To stay ahead of the competition, you need precise and up-to-date information. Our **YouTube Video Details Scraper** is engineered to bypass complex limitations and deliver high-quality data directly to your dashboard. With features like transcript extraction, metadata gathering, and channel analysis, this tool stands out as the ultimate **Video Data Mining Solution**. πŸ’Ž By choosing the **YouTube Video Details Scraper**, you are investing in a tool that understands the nuances of video metadata. From simple titles to complex interaction algorithms, the **YouTube Video Details Scraper** handles it all with precision. #### 🌟 Why Do You Need a YouTube Video Details Scraper? Manually collecting data from videos is a tedious and error-prone process. Imagine trying to copy titles, descriptions, view counts, and transcripts for hundreds of videos. It's nearly impossible. The **YouTube Video Details Scraper** automates this entire workflow, ensuring 100% accuracy and efficiency. By using the **YouTube Video Details Scraper**, you can: - **Save Hours of Manual Work**: Automate the extraction of metadata and transcripts. - **Perform Competitive Analysis**: Understand what your competitors are doing by analyzing their video tags, categories, and engagement rates. - **Boost Your SEO**: Use the **YouTube Video Details Scraper** to find high-ranking keywords and hashtags used in popular videos. - **Enhance Content Research**: Access full video transcripts to summarize content or repurpose it for blogs and social media. - **Track Market Trends**: Monitor how certain keywords or topics perform over time using the data provided by the **YouTube Video Details Scraper**. The **YouTube Video Details Scraper** is not just a scraper; it's a data engine that powers your decision-making process. Without a reliable **YouTube Video Details Scraper**, you are essentially flying blind in the competitive world of video content marketing. --- ### πŸš€ Key Features of the YouTube Video Details Scraper Our tool is packed with advanced features that make it the best **Metadata Extractor** on the market. Here is why users love it: #### 1. Full Metadata Extraction πŸ“ The **YouTube Video Details Scraper** captures every bit of visible information, including: - **Video Title & ID**: Precise identification for tracking and database management. - **Detailed Description**: Perfect for sentiment analysis and NLP processing. - **Publish & Upload Date**: Track fresh trends and historical data patterns. - **Duration (`lengthSeconds`)**: Understand the length of the content. - **Category & Status Flags**: `isFamilySafe`, `isUnlisted`, `isShortsEligible`, `isLiveContent`, `allowRatings`, and the full `availableCountries` list. #### 2. Deep Engagement Metrics πŸ“ˆ Track how well a video is performing with detailed stats provided by the **YouTube Video Details Scraper**: - **View Count**: Accurate counts to measure reach and popularity. - **Likes** (`likeCount`): Gauge audience appreciation and validation. - **Comment Count**: Both the raw number (`commentCount`) and the display text (`commentCountText`, e.g. `"2.4M"`). - **Keywords & Hashtags**: The uploader's hidden tags plus the visible `#hashtags`. #### 3. Complete Channel Profiling πŸ‘€ It’s not just about the video! The **YouTube Video Details Scraper** extracts critical channel data: - **Channel Title & ID**: Know exactly who is behind the content. - **Channel URL**: Easy navigation and social media mapping. - **Subscriber Count**: Both `subscriberCountText` (e.g. `"4.5M subscribers"`) and the parsed `subscriberCount` number. - **Channel Badges**: Identify verified creators, official artists, and partner statuses. - **Channel Thumbnail**: High-definition avatar image URLs for brand identification. #### 4. Subtitles, Storyboards & Related Videos ⌨️ The **YouTube Video Details Scraper** goes far beyond the basics: - **Subtitles**: Every available caption track (`url`, `languageCode`, `isTranslatable`) plus the full list of `translationLanguages`. - **Storyboards**: Decoded preview-thumbnail sprite sheets per quality level, with ready-to-use image URLs. - **Related Videos**: The sidebar recommendations (up to ~20 per video) with title, channel, view count, publish time, and thumbnails β€” perfect for mapping recommendation networks. #### 5. SEO Tools: Tags & Hashtags 🏷️ Find out how videos are being discovered. The **YouTube Video Details Scraper** extracts all hidden **Video Tags** and visible **Hashtags**, allowing you to optimize your own tags for maximum visibility and ranking. #### input ```json { "startUrls": [ { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" } ] } ```` #### output The actor pushes **one record per video** to the dataset. Long arrays (`keywords`, `availableCountries`, `subtitles.translationLanguages`, `relatedVideos`, …) are truncated below with `…` for readability β€” the real output contains the full lists. ```json [ { "id": "dQw4w9WgXcQ", "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ", "title": "Rick Astley - Never Gonna Give You Up (Official Video) (4K Remaster)", "lengthSeconds": "213", "keywords": ["rick astley", "Never Gonna Give You Up", "rickroll", "…"], "hashtags": ["#RickAstley", "#NeverGonnaGiveYouUp", "#OfficialMusicVideo"], "channelId": "UCuAXFkgsw1L7xaCfnd5JJOw", "channelTitle": "Rick Astley", "channelUrl": "http://www.youtube.com/@RickAstleyYT", "channelThumbnail": [ { "url": "https://yt3.ggpht.com/…=s176-c-k-c0x00ffffff-no-rj", "width": 176, "height": 176 } ], "channelBadges": ["Official Artist Channel"], "subscriberCountText": "4.5M subscribers", "subscriberCount": 4500000, "description": "The official video for β€œNever Gonna Give You Up” by Rick Astley. …", "thumbnail": [ { "url": "https://i.ytimg.com/vi/dQw4w9WgXcQ/hqdefault.jpg", "width": 336, "height": 188 }, { "url": "https://i.ytimg.com/vi_webp/dQw4w9WgXcQ/maxresdefault.webp", "width": 1920, "height": 1080 } ], "allowRatings": true, "viewCount": "1778645909", "likeCount": "19133089", "commentCountText": "2.4M", "commentCount": 2400000, "isPrivate": false, "isUnpluggedCorpus": false, "isLiveContent": false, "isCrawlable": true, "isFamilySafe": true, "isShortsEligible": false, "isUnlisted": false, "availableCountries": ["AD", "AE", "AF", "…", "ZW"], "category": "Music", "publishDate": "2009-10-24", "uploadDate": "2009-10-24", "embedUrl": "https://www.youtube.com/embed/dQw4w9WgXcQ", "subtitles": { "subtitles": [ { "languageName": "English", "languageCode": "en", "isTranslatable": true, "url": "https://www.youtube.com/api/timedtext?v=dQw4w9WgXcQ&lang=en" }, { "languageName": "English (auto-generated)", "languageCode": "en", "isTranslatable": true, "url": "https://www.youtube.com/api/timedtext?v=dQw4w9WgXcQ&kind=asr&lang=en" } ], "translationLanguages": [ { "languageCode": "ab", "languageName": "Abkhazian" }, { "languageCode": "zu", "languageName": "Zulu" } ] }, "storyboards": [ { "width": "48", "height": "27", "thumbsCount": "100", "columns": "10", "rows": "10", "interval": "0", "storyboardCount": 1, "url": ["https://i.ytimg.com/sb/dQw4w9WgXcQ/storyboard3_L0/default.jpg?sqp=…&sigh=rs$…"] } ], "relatedVideos": [ { "type": "video", "videoId": "yPYZpwSpKmA", "title": "Rick Astley - Together Forever (Official Video) [4K Remaster]", "channelTitle": "Rick Astley", "viewCount": "201M views", "publishedTimeText": "16 years ago", "thumbnail": [ { "url": "https://i.ytimg.com/vi/yPYZpwSpKmA/hqdefault.jpg", "width": 336, "height": 188 } ], "channelThumbnail": [ { "url": "https://yt3.ggpht.com/…=s88-c-k-c0x00ffffff-no-rj", "width": 68, "height": 68 } ] } ] } ] ``` ### πŸ› οΈ How it Works (Step-by-Step) Using the **YouTube Video Details Scraper** is as easy as 1-2-3! You don't need any coding knowledge to get started. 1. **Provide URLs**: Input the links to the videos you want to analyze. The **YouTube Video Details Scraper** supports normal videos, live streams, and shorts URLs. 2. **Configure Settings**: Add one or more video URLs to `startUrls`. Residential proxies are used automatically for reliable, geo-stable results. 3. **Run & Export**: Click the start button. The **YouTube Video Details Scraper** will process the URLs in parallel, ensuring high speed. Once finished, export your data in JSON, CSV, or Excel formats. The **YouTube Video Details Scraper** is designed to be user-friendly, catering to both non-technical users and advanced developers who want to integrate the **YouTube Video Details Scraper** into their own software stacks. *** ### πŸ“Š Detailed Data Fields Explained When you run the **YouTube Video Details Scraper**, you receive a comprehensive JSON object. Below is a detailed breakdown of each field: #### Video Metadata - `id`: The unique 11-character string identifying the video. - `url`: The canonical watch URL for the video. - `title`: The full title as specified by the uploader. - `description`: The complete text found in the video's description box. - `lengthSeconds`: Total length of the video in seconds (string). - `publishDate` / `uploadDate`: When the video was published / uploaded (`YYYY-MM-DD`). - `category`: The video's category (e.g. `"Music"`). - `keywords` / `hashtags`: The uploader's tags and the visible `#hashtags`. - `availableCountries`: List of ISO country codes where the video is viewable. - `allowRatings`, `isPrivate`, `isUnlisted`, `isFamilySafe`, `isShortsEligible`, `isLiveContent`, `isUnpluggedCorpus`, `isCrawlable`: Status flags. - `thumbnail`: Array of thumbnail objects (`url`, `width`, `height`). - `embedUrl`: The iframe embed URL. #### Social Metrics - `viewCount`: Number of times the video has been played (string). - `likeCount`: Total number of 'thumbs up' interactions (string). - `commentCount` / `commentCountText`: Comment total as a number and as display text (e.g. `"2.4M"`). #### Channel Information - `channelTitle`: The display name of the channel. - `channelId`: The internal unique ID of the channel. - `channelUrl`: The channel's URL / handle. - `subscriberCountText` / `subscriberCount`: Followers as display text and as a parsed number. - `channelBadges`: List of badges such as "Verified" or "Official Artist Channel". - `channelThumbnail`: Array of channel avatar image objects. #### Subtitles - `subtitles.subtitles[]`: Each caption track β€” `languageName`, `languageCode`, `isTranslatable`, and the timed-text `url`. - `subtitles.translationLanguages[]`: All languages the captions can be auto-translated into (`languageCode`, `languageName`). #### Storyboards - `storyboards[]`: Per quality level β€” `width`, `height`, `columns`, `rows`, `interval`, `thumbsCount`, `storyboardCount`, and the list of sprite-sheet `url`s. #### Related Videos - `relatedVideos[]`: Sidebar recommendations β€” `videoId`, `title`, `channelTitle`, `viewCount`, `publishedTimeText`, `thumbnail`, `channelThumbnail`. *** ### πŸ’‘ Advanced Use Cases for the YouTube Video Details Scraper The potential applications of the **YouTube Video Details Scraper** are vast. Here are some sophisticated ways people use the **YouTube Video Details Scraper** today: #### 1. Market Research & Sentiment Analysis πŸ“Š Using the **YouTube Video Details Scraper**, you can collect descriptions and transcripts from hundreds of product reviews. Feed this data into a sentiment analysis model to understand what customers love or hate about a specific product. This is why the **YouTube Video Details Scraper** is essential for business intelligence. #### 2. Influencer Marketing Vetting 🀝 Before partnering with a creator, brands use the **YouTube Video Details Scraper** to check their engagement rates. A high subscriber count means nothing if the engagement rate is less than 1%. The **YouTube Video Details Scraper** provides the "Engagement Rate" field to make this vetting process instantaneous. #### 3. Automated Content Summarization πŸ“ News agencies and bloggers use the **YouTube Video Details Scraper** to extract transcripts of long speeches or interviews. They then use AI tools to summarize the text, saving hours of listening time. The **YouTube Video Details Scraper** is the first step in this automated pipeline. #### 4. Competitive Content Strategy πŸ›‘οΈ By analyzing the tags and descriptions of top-ranking videos, you can reverse-engineer their success. The **YouTube Video Details Scraper** reveals the hidden tags that competitors use to show up in "Suggested Videos." #### 5. Linguistic and Academic Research πŸŽ“ Linguists use the **YouTube Video Details Scraper** to study accents, slang, and language evolution by extracting large volumes of speech data from different regions and time periods. ### πŸ›‘οΈ Technical Superiority: Why This Tool Wins The **YouTube Video Details Scraper** isn't just another script; it's a robust software solution built for scale. #### Residential Proxy Integration 🌐 The **YouTube Video Details Scraper** uses top-tier residential proxies. This means the platform sees the requests as coming from real home users, making it virtually impossible for the **YouTube Video Details Scraper** to be blocked. #### Parallel Execution ⚑ Time is money. The **YouTube Video Details Scraper** is built on an asynchronous architecture. It can scrape dozens of videos simultaneously, delivering your data much faster than traditional sequential scrapers. #### Handling "Live" and "Shorts" πŸ”„ Most scrapers struggle with non-standard video formats. The **YouTube Video Details Scraper** seamlessly handles traditional uploads, live stream archives, and "Shorts" videos with the same level of detail. #### Zero Maintenance Required πŸ› οΈ Algorithms change, but we maintain the **YouTube Video Details Scraper** constantly. You don't have to worry about the tool breaking because of a UI update on the video platform. We take care of it for you. #### πŸ“Š Comprehensive Data Extraction Logic How does the **YouTube Video Details Scraper** achieve such high accuracy? It doesn't rely on a single source. Instead, the **YouTube Video Details Scraper** uses a multi-layered detection system. 1. **DOM Parsing**: The **YouTube Video Details Scraper** analyzes the HTML structure to find primary metadata like titles and view counts. 2. **Initial Player Response**: The **YouTube Video Details Scraper** extracts JSON data embedded within the page scripts, providing access to "hidden" details like exact length in seconds and specific categories. 3. **Caption Track Extraction**: For subtitles, the **YouTube Video Details Scraper** reads the caption tracklist, returning every available subtitle track URL plus the full list of supported translation languages. 4. **Engagement Panels**: The **YouTube Video Details Scraper** navigates through the complex "engagement panels" of the modern layout to fetch like counts and comment numbers, which are often hidden behind dynamic components. This multi-pronged approach ensures that if one method fails, the **YouTube Video Details Scraper** has three others to fall back on. This redundancy is what makes it a professional-grade **Video Discovery Tool**. ### πŸ›‘οΈ Why Proxies are Critical for the YouTube Video Details Scraper If you've ever tried to scrape data manually or with a simple script, you've likely seen the "403 Forbidden" or "CAPTCHA" error. Large platforms have sophisticated anti-scraping measures. Here is how the **YouTube Video Details Scraper** overcomes them: #### Residential vs. Datacenter Proxies Other tools use cheap datacenter proxies that are easily identified and blocked. The **YouTube Video Details Scraper** is optimized for **Residential Proxies**. These are IP addresses assigned by ISPs to real households. When the **YouTube Video Details Scraper** uses a residential proxy, it looks like a regular person watching a video from their living room. #### Global Rotation The **YouTube Video Details Scraper** rotates IP addresses for every request. If you are scraping 1,000 URLs, the **YouTube Video Details Scraper** can use 1,000 different IPs from around the world. This prevents any single IP from being flagged for high activity. #### Geographic Specifics Some content is geo-locked. The **YouTube Video Details Scraper** allows you to leverage proxies from specific countries, enabling you to see metadata and transcripts exactly as a local viewer would. This is essential for international market research. *** ### 🏒 Industry-Specific Use Cases The **YouTube Video Details Scraper** is a versatile tool that adapts to various business needs. #### πŸ›’ E-commerce & Retail Online retailers use the **YouTube Video Details Scraper** to monitor product reviews. By extracting the **Video Transcript** and **Tags**, they can identify which features of their product are being mentioned most frequently (positively or negatively) by influencers. The **YouTube Video Details Scraper** helps them stay on top of customer sentiment without watching thousands of hours of video. #### 🏫 Education & E-learning Educational institutions use the **YouTube Video Details Scraper** to archive lecture materials. By downloading the full transcript via the **YouTube Video Details Scraper**, students can search for specific keywords within a lecture and jump to the exact timestamp. This transforms passive viewing into an interactive learning experience. #### πŸ“° Journalism & Media Newsrooms use the **YouTube Video Details Scraper** to verify information. When a breaking news video appears, the **YouTube Video Details Scraper** can quickly pull the "Published Date" and "Location Tags" to help journalists verify the source and timing of the event. #### πŸ’» Tech & AI Development AI companies require massive amounts of natural language data. The **YouTube Video Details Scraper** provides a clean, timestamped stream of conversation that can be used to train speech-to-text models or conversational AI. The **YouTube Video Details Scraper** is the ultimate data acquisition tool for the AI age. #### πŸ“œ Ethical Scraping and Compliance We believe in responsible data extraction. When using the **YouTube Video Details Scraper**, keep the following in mind: - **Fair Use**: Use the data for research, analysis, and business intelligence. - **Privacy**: Do not use the **YouTube Video Details Scraper** to harvest personal information from comments. - **Platform Integrity**: The **YouTube Video Details Scraper** is designed to be gentle on server resources by using optimized requests. #### ❓ Frequently Asked Questions (FAQ) **Q: What subtitle data do I get?** **A:** For every available caption track the **YouTube Video Details Scraper** returns the timed-text `url`, `languageCode`, and `isTranslatable` flag, including auto-generated captions, plus the full list of translation languages. You can fetch the actual text from each track URL. **Q: How accurate are the metrics?** **A:** View, like, and comment counts are 100% accurate based on the data visible at the time of the scrape. **Q: Does it work with private videos?** **A:** No, the **YouTube Video Details Scraper** only works with public and unlisted videos. **Q: Is there a limit to the number of URLs?** **A:** The **YouTube Video Details Scraper** can handle thousands of URLs in a single run, depending on your compute resources. **Q: In what formats can I download the data?** **A:** You can download your results from the **YouTube Video Details Scraper** in JSON, XML, CSV, or Excel formats. #### πŸ“ˆ SEO Performance and Ranking To ensure this tool remains the #1 choice, we have optimized it for the following high-value keywords: - **YouTube Video Details Scraper** - **Video Transcript Download Tool** - **YouTube Metadata Extraction Service** - **Channel Engagement Analytics** - **Video SEO Tag Finder** - **Bulk Video Data Scraper** - **Automated YouTube Data Mining** By consistently using the **YouTube Video Details Scraper**, you stay ahead of 99% of creators who are still doing things manually. ### πŸš€ Get Started Today! Why wait? The data you need is just a few clicks away. Whether you need a single video's details or a million, the **YouTube Video Details Scraper** is the most reliable, fast, and comprehensive solution on the market. Empower your business. Accelerate your research. Optimize your content. Experience the power of the **YouTube Video Details Scraper** now! πŸš€πŸŽ¬πŸ“Š *** *Note: This tool is intended for personal and professional data analysis. We are not affiliated with any video hosting platforms. Use the **YouTube Video Details Scraper** responsibly.* # Actor input Schema ## `startUrls` (type: `array`): List of YouTube video URLs to scrape. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" } ] } ``` # 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": [ { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/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(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": [{ "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }] } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/youtube-video-details-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" } ] }' | apify call scrapers-hub/youtube-video-details-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/youtube-video-details-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "YouTube Video Details Scraper", "description": "πŸ” YouTube Video Details Scraper extracts key metadata from YouTube videosβ€”title, channel, tags, views, likes, comments & more. πŸš€ Great for market research, SEO audits, competitor analysis & content insights. βœ… Fast & reliable.", "version": "0.1", "x-build-id": "lQ26fGWGZRmiJsLgr" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~youtube-video-details-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-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/scrapers-hub~youtube-video-details-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-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/scrapers-hub~youtube-video-details-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-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": [ "startUrls" ], "properties": { "startUrls": { "title": "YouTube Video URLs", "type": "array", "description": "List of YouTube video URLs to scrape.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```