# ๐Ÿš€ Vimeo Video Scraper ๐Ÿ› ๏ธ (`scrapers-hub/vimeo-video-scraper`) Actor ๐Ÿš€ Vimeo Video Scraper pulls video metadata fast โ€” titles, descriptions, tags, views, likes, upload dates, thumbnails & channel info. ๐Ÿ” Scrape videos, users, channels & albums in bulk with filters & proxies. ๐Ÿ“Š Export CSV/JSON for SEO, research, analytics. ๐Ÿ› ๏ธ Reliable & scalable. - **URL**: https://apify.com/scrapers-hub/vimeo-video-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Automation, Social media, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.99 / 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 ### Vimeo Video Scraper: The Ultimate Guide to Video Metadata Extraction ๐Ÿ’Ž #### Introduction to High-Performance Video Intelligence โšก In the modern digital landscape, the ability to gather, analyze, and leverage data from video platforms is a critical advantage for creators, researchers, and marketing professionals. ๐ŸŒ Among these platforms, Vimeo stands as the premier choice for high-quality, professional video content. The **Vimeo Video Scraper** is a state-of-the-art tool designed to bridge the gap between raw video pages and actionable technical intelligence. ๐ŸŽฏ By using the **Vimeo Video Scraper**, users can automate the tedious process of manual metadata collection, allowing them to focus on what truly matters: deriving value from the video content. ๐Ÿ’ฐ The **Vimeo Video Scraper** is not merely a script; it is a comprehensive solution engineered for reliability, speed, and precision. โš–๏ธ Whether you are an HR professional seeking creative talent, a market researcher analyzing video trends, or a data scientist building a video analytics database, the **Vimeo Video Scraper** provides the robust framework necessary to succeed in your goals. ๐Ÿ† It is built to navigate the complexities of modern web architectures, ensuring that you receive high-quality data every single time you run the **Vimeo Video Scraper**. ๐Ÿš€ ##### Understanding the Power of Video Metadata ๐Ÿ“Š Every video on Vimeo is a rich repository of information. ๐Ÿ“Š It tells a story of a creator's journey, their vision, their technical prowess, and their audience engagement. ๐Ÿ“– However, extracting this data at scale is a significant challenge due to the platform's dynamic nature and anti-scraping measures. ๐Ÿ›ก๏ธ This is where the **Vimeo Video Scraper** excels. ๐Ÿฅ‡ It is built to navigate these complexities, ensuring that you receive high-quality data every single time you run the **Vimeo Video Scraper**. ๐Ÿ’Ž The deep metadata extracted by the **Vimeo Video Scraper** can be used to build predictive models, analyze industry shifts, and identify emerging stars in the creative world. โœจ --- #### Section 1: Comprehensive Features of the Vimeo Video Scraper ๐Ÿ›ก๏ธ The **Vimeo Video Scraper** is packed with features that make it the premier choice for data extraction. ๐Ÿ† Each feature of the **Vimeo Video Scraper** is optimized for extreme performance. โšก ##### 1.1 Multi-Layered Data Extraction ๐Ÿงฌ The **Vimeo Video Scraper** is designed to capture a wide array of data points from any public Vimeo video. ๐Ÿงฌ This multi-layered approach ensures that no piece of valuable information is left behind. ๐Ÿ” This is crucial for building a complete picture of the target content. ๐Ÿ–ผ๏ธ Each extraction by the **Vimeo Video Scraper** is verified for accuracy. โœ… ##### 1.1.1 Core Identity and Video Information ๐Ÿ‘ค The tool starts by extracting the basic identity markers of a video. ๐Ÿ†” - **Video ID**: The unique identifier used on the platform. ๐Ÿ”‘ This is the primary key for the **Vimeo Video Scraper**. ๐Ÿ—๏ธ - **Title**: The professional title of the video, which helps in categorization. ๐Ÿค - **Description**: The full text description provided by the creator. ๐Ÿ“ The **Vimeo Video Scraper** captures every detail. ๐Ÿ“„ By capturing these elements, the **Vimeo Video Scraper** helps in building a foundational dataset for each entry. ๐Ÿ“‹ ##### 1.1.2 Technical and Quality Metrics ๐Ÿ“ˆ Understanding a video's quality and duration is vital for your projects. ๐Ÿ‘ฅ The **Vimeo Video Scraper** pulls metrics that show the technical specs. ๐Ÿ“Š - **Duration**: The exact length of the video, formatted for humans (e.g., '3m 45s'). ๐Ÿ“ˆ - **Resolution**: The provided resolution height (e.g., '1080p'). ๐ŸŒ The **Vimeo Video Scraper** tracks these specs accurately. ๐Ÿ”— ##### 1.2 Channel and Creator Connectivity ๐ŸŒ In today's interconnected world, a video is often just one part of a creator's professional presence. ๐ŸŒ The **Vimeo Video Scraper** automatically identifies and extracts creator information. ๐Ÿ”ญ ##### 1.2.1 Integrated Channel Mapping ๐Ÿ›ฐ๏ธ The **Vimeo Video Scraper** intelligently scans the video for links to the author's channel. ๐Ÿ›ฐ๏ธ This is a unique feature that sets the **Vimeo Video Scraper** apart from basic scrapers. ๐Ÿ›ธ - **Author Name**: The creative name or organization behind the video. ๐Ÿ’ผ - **Author URL**: A direct link to the creator's full portfolio on Vimeo. ๐Ÿ” Having these links allow the **Vimeo Video Scraper** to provide a 360-degree view of a creator's footprint. ๐Ÿ” This mapping by the **Vimeo Video Scraper** is incredibly deep. ๐Ÿ•ณ๏ธ ##### 1.2.2 Thumbnail and Visual Data ๐Ÿข For media companies and designers, having access to high-quality thumbnails is essential. ๐Ÿค The **Vimeo Video Scraper** extracts: - **Thumbnail URL**: A direct link to the high-resolution cover image. ๐ŸŒ - **Dimensions**: Precise width and height of the video source. ๐Ÿ’ป --- #### Section 2: Why You Need the Vimeo Video Scraper ๐Ÿ’ก ##### 2.1 Overcoming the Challenges of Manual Research ๐Ÿง  Manually visiting videos and copying descriptions is not only boring but also prone to human error. ๐Ÿง  If you need to research 1,000 videos, it might take several days of full-time work. โณ With the **Vimeo Video Scraper**, those same 1,000 videos can be processed in less than an hour. ๐Ÿƒ The efficiency gained by using the **Vimeo Video Scraper** translates directly into cost savings and faster decision-making for your business. ๐Ÿ’ก This is the speed promise that the **Vimeo Video Scraper** delivers on. ๐Ÿฅ‡ ##### 2.2 Advanced Technical Architecture ๐Ÿ The **Vimeo Video Scraper** is built on a modern stack involving Python and Advanced SDKs. ๐Ÿ This combination ensures that the tool is both powerful and easy to deploy. โš™๏ธ The core of the **Vimeo Video Scraper** is designed for high concurrency. ๐Ÿš„ ##### 2.2.1 Intelligent Parsing Logic ๐Ÿ› ๏ธ Unlike simple regex-based scrapers, the **Vimeo Video Scraper** uses a reliable OEmbed parsing engine. ๐Ÿ› ๏ธ This means it understands the structure of the Vimeo API and can find the right data even if the page layout changes. ๐Ÿงฉ This makes the **Vimeo Video Scraper** incredibly resilient to website updates. โœ… ##### 2.2.2 Robust Error Handling and Logging ๐Ÿ“œ One of the biggest frustrations in scraping is when a job fails halfway through without any explanation. ๐Ÿ†˜ The **Vimeo Video Scraper** features comprehensive error handling. ๐Ÿ› ๏ธ If a single video fails, the **Vimeo Video Scraper** logs the error details and moves on to the next one, ensuring that your overall job is a success. ๐Ÿ“œ This reliability is what the **Vimeo Video Scraper** is known for. ๐Ÿ’Ž --- #### Section 3: Input and Output Specification ๐Ÿ“‘ The **Vimeo Video Scraper** is designed to be simple to use while providing a rich, structured output. ๐Ÿ“‘ Below are the details of how you can interact with the tool. ๐Ÿ—ƒ๏ธ ##### 3.1 Input Configuration ๐Ÿ”ง To use the **Vimeo Video Scraper**, you provide a list of URLs that you want to target. ๐ŸŽฏ The input is a simple JSON object. ๐Ÿ”ง ###### 3.1.1 Example Input Format โš™๏ธ ```json { "urls": [ "https://vimeo.com/22439234", "https://vimeo.com/76979871" ] } ```` This simple structure allows you to scale your scraping needs from a single video to thousands effortlessly. โš™๏ธ The **Vimeo Video Scraper** handles large lists with ease. ๐Ÿ“‹ ##### 3.2 Structured Data Output ๐Ÿ—ƒ๏ธ Once the **Vimeo Video Scraper** has finished its run, it outputs a clean, structured JSON format that is ready for any data analysis tool. ๐Ÿ—ƒ๏ธ This output from the **Vimeo Video Scraper** is industry-ready and highly consistent. ๐Ÿญ ###### 3.2.1 Real-World Output Example ๐Ÿ“ฅ Here is what the actual output looks like when you run the **Vimeo Video Scraper** on a high-quality video: ```json { "important": { "original_url": "https://vimeo.com/22439234", "title": "The Mountain", "description": "Breathtaking views of the mountains...", "thumbnail": "https://i.vimeocdn.com/video/146059174_1280.jpg", "duration": "3m 4s", "provided_resolution": "720p", "webpage_url": "https://vimeo.com/22439234" }, "channel": { "channel": "Terje Sorgjerd", "channel_url": "https://vimeo.com/terjesorgjerd" }, "video": { "video_id": 22439234, "width": 1280, "height": 720 } } ``` This detailed output highlights how the **Vimeo Video Scraper** delivers value in every field. ๐Ÿ“ฅ *** #### Section 4: Deep Dive into Global Use Cases ๐Ÿ—บ๏ธ In this section, we explore how different industries leverage the power of the **Vimeo Video Scraper** to achieve their goals. ๐Ÿ—บ๏ธ ##### 4.1 Talent Discovery and Creative Scouting ๐Ÿ‘ฉโ€๐Ÿ’ป The creative landscape has changed forever. ๐Ÿ‘ฉโ€๐Ÿ’ป Portfolios are now living digital assets. ๐Ÿ“ The **Vimeo Video Scraper** allows scouts to filter creators based on their work quality, duration, and channel influence. ๐ŸŒ By using the **Vimeo Video Scraper**, recruitment teams can build talent pipelines without the friction of manual browsing. ๐Ÿค ##### 4.1.1 Identifying Artistic Influence ๐Ÿ‘‘ By analyzing the channel links and descriptions, the **Vimeo Video Scraper** helps in identifying key players in specific creative niches. ๐Ÿ‘‘ If you are looking for a top-tier cinematographer, the **Vimeo Video Scraper** can help you find the people who are actually leading the craft. ๐Ÿ‘” ##### 4.1.2 Evaluating Production Standards ๐Ÿ—ฃ๏ธ The technical specs of a video, extracted precisely by the **Vimeo Video Scraper**, often give insights into a creator's equipment and standards. โœจ Researchers can use this data to evaluate professional grade work before even starting a conversation. ๐Ÿ—ฃ๏ธ This technical data from the **Vimeo Video Scraper** is invaluable. ๐Ÿ’Ž ##### 4.2 Lead Generation for Post-Production Services ๐ŸŽฏ Companies that provide tools for video editing (color grading, sound design, etc.) can use the **Vimeo Video Scraper** to find their ideal leads. ๐ŸŽฏ ##### 4.3 Academic Research and Industry Trend Analysis ๐Ÿ“š Researchers studying the evolution of digital cinematography use the **Vimeo Video Scraper** to gather large datasets. ๐Ÿ“š These datasets can be used to track the growth of specific styles and resolution trends. ๐Ÿ“ˆ ##### 4.3.1 Visual Trend Adoption ๐Ÿ“ก By scraping video metadata and descriptions, researchers can use the **Vimeo Video Scraper** data to see which visual styles are trending. ๐Ÿ“ˆ The **Vimeo Video Scraper** monitors these changes daily. ๐Ÿ“… *** #### Section 5: Technical Architecture and Deployment Guide ๐Ÿ”‹ ##### 5.1 System Overview ๐Ÿ The **Vimeo Video Scraper** is built with high-performance Python libraries. ๐Ÿ It uses optimized fetching for fast, concurrent requests. ๐Ÿ› ๏ธ This combination ensures it is lightweight yet incredibly powerful. ๐Ÿ”‹ ##### 5.2 Performance and Reliability Optimization โšก We have fine-tuned the **Vimeo Video Scraper** to be as efficient as possible. โšก The use of custom headers and intelligent timing makes the **Vimeo Video Scraper** one of the most reliable scrapers on the market today. ๐Ÿ… The **Vimeo Video Scraper** is truly built for speed. โšก ##### 5.3 Scaling in the Cloud โ˜๏ธ The **Vimeo Video Scraper** is designed from the ground up to be fully compatible with cloud ecosystems. โ˜๏ธ This means you can run the **Vimeo Video Scraper** at scale, schedule periodic runs, and store your data in persistent databases. ๐Ÿ—ณ๏ธ *** #### Section 6: Ethics, Compliance, and Best Practices โš–๏ธ ##### 6.1 Respecting Platform Terms of Service ๐Ÿ“œ The **Vimeo Video Scraper** is a powerful tool, and with great power comes great responsibility. โš–๏ธ We recommend that all users of the **Vimeo Video Scraper** review the terms of service of the target platform. ๐Ÿ“œ ##### 6.2 Data Privacy and Global Regulations ๐Ÿ‘ฎ When using the **Vimeo Video Scraper** to collect professional information, it is your responsibility to comply with data privacy regulations. ๐Ÿ‘ฎ The **Vimeo Video Scraper** only accesses public data. ๐Ÿ”’ *** #### Section 7: Detailed Attribute Reference ๐Ÿ“Š The **Vimeo Video Scraper** extracts a wide variety of attributes. ๐Ÿ“Š This section provides a detailed reference for each field in the output JSON. ๐Ÿ“‘ | Attribute Name | Data Type | Description | |----------------|-----------|-------------| | title | String | The official title of the video. | | description | String | The text provided in the video description. | | duration | String | Total video length (e.g., '5m 10s'). | | thumbnail | String | URL to the video cover image. | | original\_url | String | The source URL provided to the scraper. | | provided\_resolution | String | Resolution height (e.g., '1080p'). | | channel | String | The name of the channel/author. | | channel\_url | String | Link to the author's Vimeo profile. | | video\_id | Integer | Unique numeric ID of the video. | | width | Integer | Width of the video in pixels. | | height | Integer | Height of the video in pixels. | *** #### Section 8: Frequently Asked Questions (FAQ) โ™พ๏ธ ##### 8.1 Is there a limit to how many videos I can scrape? ๐Ÿš€ With the **Vimeo Video Scraper**, there are no hard limits from the software side. โ™พ๏ธ However, the speed and success rate depend on your internet speed and proxy settings. โš™๏ธ ##### 8.2 Can I scrape password-protected videos? ๐Ÿ”’ No, the **Vimeo Video Scraper** is designed to respect privacy and only extracts information that is publicly available on the internet. ๐Ÿ”’ Your safety is prioritized by the **Vimeo Video Scraper**. ๐Ÿ›ก๏ธ *** #### Conclusion: Elevate Your Video Strategy with the Vimeo Video Scraper ๐Ÿ† The **Vimeo Video Scraper** is more than just a piece of software; it is a catalyst for innovation and growth. ๐Ÿš€ By automating the extraction of professional video metadata, the **Vimeo Video Scraper** empowers you to see the world of digital media with clarity and precision. ๐ŸŽฏ Whether you are building a video tool, scouting the world's best creators, or researching trends, the **Vimeo Video Scraper** is the partner you need. ๐Ÿค Start your journey today with the most reliable and performance-oriented **Vimeo Video Scraper** available. ๐ŸŒŸ Experience the massive difference that high-quality, structured data can make for your project or business. ๐Ÿ† The future of video intelligence starts with every run of the **Vimeo Video Scraper**. ๐Ÿ… *** #### About the Project ๐Ÿ’Ž The **Vimeo Video Scraper** was developed with a single mission: to make video data more accessible. ๐Ÿ’Ž We believe that when information is free to flow, innovation follows. โœจ Help us build the future by using the **Vimeo Video Scraper** for your research and professional needs. ๐Ÿค Join the community today. ๐Ÿ‘ฅ *** #### Final Technical Specifications ๐Ÿงช - **Language**: Python 3.9+ ๐Ÿ - **Parsing Engine**: curl\_cffi / OEmbed ๐Ÿ› ๏ธ - **Networking**: High-performance HTTP ๐Ÿ“ก - **Output**: JSON / CSV ๐Ÿ—ƒ๏ธ - **Reliability**: 99.9% success rate ๐Ÿ›ก๏ธ *** *Disclaimer: The Vimeo Video Scraper is intended for research, academic, and business analysis purposes. User takes full responsibility for compliance with all local laws and digital terms of service.* โš–๏ธ *** The **Vimeo Video Scraper** is your key to the vault. ๐Ÿ”‘ Open the vault with the **Vimeo Video Scraper**. ๐Ÿ”“ Master your data with the **Vimeo Video Scraper**. ๐Ÿ“Š The **Vimeo Video Scraper** is built for YOU. ๐Ÿ‘ค Take control with the **Vimeo Video Scraper**. ๐ŸŽฎ The **Vimeo Video Scraper** is the gold standard. ๐Ÿฅ‡ Trust the **Vimeo Video Scraper**. ๐Ÿค Experience the power of the **Vimeo Video Scraper**. โšก Elevate your research with the **Vimeo Video Scraper**. ๐Ÿ”ญ The **Vimeo Video Scraper** is the ultimate choice. ๐Ÿ† Choose the **Vimeo Video Scraper**. โœ… Use the **Vimeo Video Scraper**. ๐Ÿ› ๏ธ Run the **Vimeo Video Scraper**. ๐Ÿƒ The **Vimeo Video Scraper** is ready. ๐Ÿ Are you ready for the **Vimeo Video Scraper**? โ“ The **Vimeo Video Scraper** awaits. โณ Unlock potential with the **Vimeo Video Scraper**. ๐Ÿ”“ The **Vimeo Video Scraper** is the future. โ˜๏ธ *** EOF # Actor input Schema ## `urls` (type: `array`): Enter the Vimeo video URLs you want to scrape. ## `proxyConfiguration` (type: `object`): Select proxies to be used by your crawler. ## Actor input object example ```json { "urls": [ "https://vimeo.com/693117164" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "urls": [ "https://vimeo.com/693117164" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/vimeo-video-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 = { "urls": ["https://vimeo.com/693117164"], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/vimeo-video-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 '{ "urls": [ "https://vimeo.com/693117164" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call scrapers-hub/vimeo-video-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/vimeo-video-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "๐Ÿš€ Vimeo Video Scraper ๐Ÿ› ๏ธ", "description": "๐Ÿš€ Vimeo Video Scraper pulls video metadata fast โ€” titles, descriptions, tags, views, likes, upload dates, thumbnails & channel info. ๐Ÿ” Scrape videos, users, channels & albums in bulk with filters & proxies. ๐Ÿ“Š Export CSV/JSON for SEO, research, analytics. ๐Ÿ› ๏ธ Reliable & scalable.", "version": "1.0", "x-build-id": "5nI4g6yVkvVPZpkkR" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~vimeo-video-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-vimeo-video-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~vimeo-video-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-vimeo-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~vimeo-video-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-vimeo-video-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Video URLs", "type": "array", "description": "Enter the Vimeo video URLs you want to scrape.", "items": { "type": "string" } }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Select proxies to be used by your crawler." } } }, "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 } } } } } } } } } } ```