# Facebook Reels Audio Scraper (`scrapers-hub/facebook-reels-audio-scraper`) Actor ๐ŸŽต Facebook Reels Audio Scraper (facebook-reels-audio-scraper) pulls reel audio details fast and accurately. Save time, scale research, and boost content workflows. Perfect for creators, marketers & analysts. ๐Ÿš€๐Ÿ“ˆ #Reels #AudioScraper - **URL**: https://apify.com/scrapers-hub/facebook-reels-audio-scraper.md - **Developed by:** [Scrapers Hub](https://apify.com/scrapers-hub) (community) - **Categories:** Social media, Automation, 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 ### Facebook Reels Audio Scraper ๐ŸŽฌ๐ŸŽตโœจ๐Ÿš€ Welcome to the most comprehensive and high-performance **Facebook Reels Audio Scraper** available on the Apify platform! In the rapidly evolving landscape of social media, Facebook Reels has become a primary destination for viral short-form video content, music discovery, and creative expression. Millions of users daily interact with Reels, and for many businesses, researchers, and creators, extracting the audio and metadata from these videos is crucial for trend analysis, content curation, and archival purposes. The **Facebook Reels Audio Scraper** is meticulously engineered to provide a seamless, reliable, and professional-grade solution for extracting high-quality audio and detailed metadata from any Facebook Reel URL. #### ๐ŸŒŸ Introduction to Facebook Reels Audio Scraper ๐Ÿ“๐Ÿ” The **Facebook Reels Audio Scraper** is a specialized scraping tool built on the robust Apify infrastructure. It is specifically designed to navigate the complex and dynamic structure of Facebook's web application to find and extract direct links to audio streams and comprehensive metadata. Unlike generic scrapers that might struggle with Facebook's advanced security and dynamic content loading, the **Facebook Reels Audio Scraper** utilizes industry-leading technologies like `yt-dlp` and custom cookie management to ensure stable and accurate extraction. With the **Facebook Reels Audio Scraper**, you can transform a simple list of Facebook Reel URLs into a rich dataset of audio files and descriptive metadata. This tool is not just about downloading sounds; it's about providing a scalable, efficient, and reliable way to gather digital intelligence from one of the world's largest social platforms. In the following sections, we will dive deep into the features, technical architecture, and diverse use cases for the **Facebook Reels Audio Scraper**. --- #### ๐Ÿš€ Key Features of Facebook Reels Audio Scraper ๐Ÿ’Ž๐Ÿ› ๏ธโšก The **Facebook Reels Audio Scraper** comes packed with features designed to make your scraping experience as smooth and productive as possible. We have prioritized reliability, speed, and data depth in every aspect of the tool. ##### ๐ŸŽต High-Quality Audio Extraction The primary goal of the **Facebook Reels Audio Scraper** is to give you the best possible audio quality. We target direct audio-only streams (whenever available) or high-bitrate video formats from which audio can be easily isolated. This ensures that the audio you extract via the **Facebook Reels Audio Scraper** is crisp, clear, and professional. ##### ๐Ÿ“Š Comprehensive Metadata Retrieval The **Facebook Reels Audio Scraper** doesn't just stop at audio. It extracts a wealth of information including Reel IDs, titles, descriptions, uploader details, durations, view counts, and upload dates. This level of detail makes the **Facebook Reels Audio Scraper** an invaluable asset for researchers and analysts. ##### ๐Ÿ›ก๏ธ Advanced Proxy and Cookie Management Scraping Facebook requires a sophisticated approach to bypass anti-bot mechanisms. The **Facebook Reels Audio Scraper** is fully integrated with Apify's proxy services and uses custom-managed cookies to mimic real browser behavior. This allows the **Facebook Reels Audio Scraper** to operate at scale with a very high success rate. ##### โšก Asynchronous Performance Built using Python's asynchronous capabilities, the **Facebook Reels Audio Scraper** can process multiple URLs with high efficiency. While one request is being handled, the **Facebook Reels Audio Scraper** can start preparing the next one, significantly reducing the overall processing time for large batches of URLs. ##### ๐Ÿ–ผ๏ธ Thumbnail and Profile Asset Extraction In addition to audio and text, the **Facebook Reels Audio Scraper** retrieves direct links to the Reel's thumbnail and uploader's assets. This context is essential for visual organization and classification of the data gathered by the **Facebook Reels Audio Scraper**. --- #### ๐Ÿ› ๏ธ How to Use Facebook Reels Audio Scraper ๐Ÿ“–๐Ÿ‘ฃโœ… Getting started with the **Facebook Reels Audio Scraper** is incredibly easy, even if you don't have a technical background. The user-friendly interface on Apify makes it a simple "point and click" operation. ##### Step 1: Provide Facebook Reel URLs The main input for the **Facebook Reels Audio Scraper** is a list of Facebook Reel URLs. You can find these by browsing Facebook and copying the URL from your browser's address bar or the "Share" menu. A typical URL looks like this: `https://www.facebook.com/reel/123456789`. You can add as many URLs as you need to the **Facebook Reels Audio Scraper** input list. ##### Step 2: Configure Proxies For the best results, we recommend enabling proxies in the **Facebook Reels Audio Scraper** settings. Apify's residential proxies are particularly effective for Facebook scraping. This ensures that the **Facebook Reels Audio Scraper** can access the content reliably from different geographical locations. ##### Step 3: Run the Actor Click the "Start" button, and let the **Facebook Reels Audio Scraper** do the heavy lifting. You can monitor the progress in real-time through the Apify console. The **Facebook Reels Audio Scraper** will log its actions, letting you know the status of each URL being processed. ##### Step 4: Download Your Data Once the **Facebook Reels Audio Scraper** has finished its run, you can export the results in various formats including JSON, CSV, Excel, or XML. You will have a clean list of audio URLs and metadata ready for your next project. --- #### ๐Ÿ“Š Section 3: Input & Output Examples ๐Ÿ“ฅ๐Ÿ“ค๐Ÿ’ป Understanding the data format is key to integrating the **Facebook Reels Audio Scraper** into your workflow. Here is a detailed look at what goes in and what comes out. ##### ๐Ÿ“ฅ Input JSON When using the **Facebook Reels Audio Scraper**, your input JSON will typically look like this: ```json { "reel_urls": [ "https://www.facebook.com/reel/1831270064408357", ], "proxyConfiguration": { "useApifyProxy": true } } ```` ##### ๐Ÿ“ค Output JSON The **Facebook Reels Audio Scraper** produces structured data for each Reel. Each record in the dataset will look similar to this: ```json [ { "url": "https://www.facebook.com/reel/1831270064408357", "reel_id": "1831270064408357", "title": "605K views ยท 218K reactions | Atlantic Ocean #ship #insta #sea #sealife #instagram #instamood #shipping #explore #trendingreelsvideo | Mariner Vicky", "description": "Atlantic Ocean #ship #insta #sea #sealife #instagram #instamood #shipping #explore #trendingreelsvideo", "uploader": "Mariner Vicky", "uploader_id": "100063506651635", "duration": 20.165, "view_count": 4709963, "upload_date": "20250808", "audio": "https://video.fdac3-1.fna.fbcdn.net/o1/v/t2/f2/m412/AQPUpoG35u50NpPlqvV9z2rihY2GoIwdKPgKfj4EYNQAvlhxYndXs3l9DTY-83J8YRopzO9G6V0Mnpojvh521OAH5JoqMz-Ggkf2n9I.mp4?_nc_cat=110&_nc_oc=AdrxvXHADaeH0z_m13RpNsqNRxQhyvXhzUJ-i9e3aQm7U9N7-hKrDu-7m8PpKdOCaPo&_nc_sid=9ca052&_nc_ht=video.fdac3-1.fna.fbcdn.net&_nc_ohc=i-3hzwCsHMEQ7kNvwGbacEe&efg=eyJ2ZW5jb2RlX3RhZyI6ImRhc2hfbG5faGVhYWNfdmJyM19hdWRpbyIsInZpZGVvX2lkIjoxODMxMjcwMDY0NDA4MzU3LCJvaWxfdXJsZ2VuX2FwcF9pZCI6MCwiY2xpZW50X25hbWUiOiJ1bmtub3duIiwieHB2X2Fzc2V0X2lkIjoxMDU0NjI3NzU2ODM4NDI5LCJhc3NldF9hZ2VfZGF5cyI6MjY4LCJ2aV91c2VjYXNlX2lkIjoxMDk1NiwiZHVyYXRpb25fcyI6MjAsImJpdHJhdGUiOjczMzg4LCJ1cmxnZW5fc291cmNlIjoid3d3In0=&ccb=17-1&_nc_gid=JS5X65KnhTgF-EzrAWK6GA&_nc_ss=7c289&_nc_zt=28&oh=00_Af5xCQfooA2jmd7Ta6OmnvUNue25h3AK8GkTT1-lQzFOog&oe=69FE39CB", "thumbnail_url": "https://scontent.fdac3-1.fna.fbcdn.net/v/t15.5256-10/529773654_1307743380784400_2091905933132907197_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=110&ccb=1-7&_nc_sid=50ce42&_nc_ohc=HpPgE2S0PiMQ7kNvwEu60d1&_nc_oc=AdpA_T993GC9R590XbuxawdxTRNXqe2KxAMOgYq3ra7WFqzCzbkfjX64-LjL2tW90Lg&_nc_zt=23&_nc_ht=scontent.fdac3-1.fna&_nc_gid=JS5X65KnhTgF-EzrAWK6GA&_nc_ss=7c289&oh=00_Af6xsCxZlRCKNZt06jahT86Npxw2xcRoqlzBLVyackS-kQ&oe=69FE339C", "format_id": "hd", "ext": "mp4", "thumbnails": [ { "url": "https://scontent.fdac3-1.fna.fbcdn.net/v/t15.5256-10/529773654_1307743380784400_2091905933132907197_n.jpg?stp=dst-jpg_s960x960_tt6&_nc_cat=110&ccb=1-7&_nc_sid=50ce42&_nc_ohc=HpPgE2S0PiMQ7kNvwEu60d1&_nc_oc=AdpA_T993GC9R590XbuxawdxTRNXqe2KxAMOgYq3ra7WFqzCzbkfjX64-LjL2tW90Lg&_nc_zt=23&_nc_ht=scontent.fdac3-1.fna&_nc_gid=JS5X65KnhTgF-EzrAWK6GA&_nc_ss=7c289&oh=00_Af6xsCxZlRCKNZt06jahT86Npxw2xcRoqlzBLVyackS-kQ&oe=69FE339C" } ], "included_dash_av_count": 0 } ] ``` This clean output makes it incredibly simple to feed the data from **Facebook Reels Audio Scraper** into other tools or scripts for further processing or automatic downloading of the actual audio files. *** #### ๐Ÿ’ก Why You Need the Facebook Reels Audio Scraper ๐Ÿค”๐Ÿ“ˆ๐Ÿ† You might be wondering why you should choose the **Facebook Reels Audio Scraper** over other scraping methods. The answer lies in its specialization and reliability. ##### ๐Ÿ“‰ Market Research and Trend Analysis If you are a marketer or content creator, you can use the **Facebook Reels Audio Scraper** to study successful Reels in your niche. Analyze the trending audios, uploader engagement, and descriptions to improve your own strategy. The **Facebook Reels Audio Scraper** helps you gather this data in bulk, giving you a competitive edge. ##### ๐ŸŽต Music Industry Insights For record labels and music promoters, the **Facebook Reels Audio Scraper** is an essential tool for tracking song usage on Facebook. By monitoring which audios are being used in viral Reels via the **Facebook Reels Audio Scraper**, you can identify rising hits and plan more effective promotional campaigns. ##### ๐ŸŽฅ Content Curation and Archiving Creators often use the **Facebook Reels Audio Scraper** to source audio for their own projects or to archive high-quality content for later reference. The **Facebook Reels Audio Scraper** provides an efficient way to find inspiration and high-quality assets. ##### ๐Ÿค– Machine Learning and AI Training For developers building AI models for audio recognition or social media sentiment analysis, the **Facebook Reels Audio Scraper** is an invaluable source of training data. You can easily collect thousands of labeled samples using the **Facebook Reels Audio Scraper**, saving weeks of manual data collection. *** #### ๐Ÿ” Technical Deep Dive: Inside the Facebook Reels Audio Scraper ๐Ÿ–ฅ๏ธ๐Ÿง โš™๏ธ The **Facebook Reels Audio Scraper** is more than just a simple script; it's a sophisticated orchestration of modern software technologies. ##### Power of yt-dlp At the heart of the **Facebook Reels Audio Scraper** is the legendary `yt-dlp` engine. We have customized its implementation to specifically target Facebook's unique video and audio formats. This integration allows the **Facebook Reels Audio Scraper** to access high-quality streams that are often hidden behind complex player interfaces. ##### Sophisticated Cookie Management Facebook relies heavily on cookies for session management and bot detection. The **Facebook Reels Audio Scraper** includes a robust cookie management system that allows it to maintain valid sessions across multiple requests. This is a critical component that ensures the **Facebook Reels Audio Scraper** remains functional despite platform changes. ##### Asynchronous Threading Since scraping can be a blocking operation, the **Facebook Reels Audio Scraper** leverages Python's `asyncio` and `run_in_executor` patterns. This allows the **Facebook Reels Audio Scraper** to perform multiple network operations concurrently, significantly boosting its speed and scalability. *** #### ๐Ÿ“Š Comparison: Facebook Reels Audio Scraper vs. Generic Tools โš–๏ธ๐Ÿ๐Ÿ | Feature | Browser Extensions | Online Converters | **Facebook Reels Audio Scraper** | | :--- | :---: | :---: | :---: | | Bulk Processing | No | Rare | Yes ๐Ÿญ | | API Support | No | No | Yes ๐Ÿ”Œ | | Metadata | Minimal | None | Comprehensive ๐Ÿ“Š | | Proxy Support | No | No | Integrated ๐Ÿ›ก๏ธ | | Speed | Slow | Moderate | Blazing Fast โšก | | Data Export | Individual | Individual | Batch (JSON/CSV/Excel) ๐Ÿ“ | As you can see, the **Facebook Reels Audio Scraper** outperforms generic methods in every category. It is a professional tool built for serious data collection needs. *** #### ๐Ÿ›ก๏ธ Best Practices for Facebook Reels Audio Scraper ๐Ÿ‘ฎ๐Ÿ‘‘๐Ÿ›ก๏ธ To get the most out of the **Facebook Reels Audio Scraper**, we recommend following these best practices: 1. **Use Residential Proxies**: While the **Facebook Reels Audio Scraper** works with any proxy, residential proxies offer the highest success rates for Facebook scraping. 2. **Respect Rate Limits**: Although the **Facebook Reels Audio Scraper** is fast, don't overwhelm the target site. Use Apify's built-in scheduling to spread out your scraping tasks. 3. **Check Your Input**: Ensure your Facebook Reel URLs are correct. The **Facebook Reels Audio Scraper** works best with standard room URLs. 4. **Stay Updated**: We constantly update the **Facebook Reels Audio Scraper** to adapt to changes on the Facebook website. Make sure you are using the latest version of the actor. *** #### โ“ Frequently Asked Questions (FAQ) ๐Ÿ™‹โ€โ™‚๏ธ๐Ÿ’ฌ๐Ÿค” ##### Is the Facebook Reels Audio Scraper legal? The **Facebook Reels Audio Scraper** is a tool for scraping publicly available data. However, you should always comply with Facebook's terms of service and the laws of your jurisdiction. Ensure you have the right to use the scraped audio for your specific purpose. ##### How many audio files can the Facebook Reels Audio Scraper find per run? The **Facebook Reels Audio Scraper** can process hundreds of URLs in a single run, provided you have sufficient Apify credits and proxy coverage. ##### Can I use the Facebook Reels Audio Scraper for other websites? No, the **Facebook Reels Audio Scraper** is specifically optimized for Facebook Reels. Its logic is tailored to Facebook's unique data structures and URL patterns. ##### Does the Facebook Reels Audio Scraper download the files to my computer? The **Facebook Reels Audio Scraper** provides you with direct URLs to the audio files. You can then use these URLs to download the files using a simple script or a download manager. This approach is more efficient as it allows you to choose which files you actually want to save. *** #### ๐ŸŒŸ Conclusion: Unlock the Power of Facebook Reels with Facebook Reels Audio Scraper ๐Ÿ—๏ธ๐Ÿ”“๐ŸŒˆ๐ŸŽ‰ The **Facebook Reels Audio Scraper** is the ultimate solution for anyone needing high-quality audio and metadata from Facebook. By combining advanced scraping technology with a user-friendly interface, we have created a tool that is both powerful and accessible. The **Facebook Reels Audio Scraper** saves you time, reduces costs, and provides you with the detailed data you need to succeed in your projects. Don't settle for slow, unreliable, or low-quality scraping methods. Choose the **Facebook Reels Audio Scraper** and experience the difference that a specialized, professional-grade tool can make. Start your first run today and see why thousands of users trust the **Facebook Reels Audio Scraper** for their data collection needs. With the **Facebook Reels Audio Scraper**, the world of Facebook audio data is at your fingertips. ๐ŸŽฌ๐ŸŽต๐Ÿš€๐Ÿ›ก๏ธโœจ๐Ÿ“ˆ *** #### ๐Ÿ“ˆ Summary of Facebook Reels Audio Scraper Benefits - **Efficiency**: The **Facebook Reels Audio Scraper** replaces hours of manual work. - **Quality**: Get the best audio every time with **Facebook Reels Audio Scraper**. - **Reliability**: Advanced logic ensures **Facebook Reels Audio Scraper** rarely fails. - **Scale**: Process thousands of Reels with the power of **Facebook Reels Audio Scraper**. - **Insight**: Gain deep metadata intelligence using the **Facebook Reels Audio Scraper**. Experience the power of professional scraping. Experience the **Facebook Reels Audio Scraper**. *** #### ๐Ÿ› ๏ธ Advanced Integration for Developers with Facebook Reels Audio Scraper ๐Ÿ”Œ๐Ÿ—๏ธโš™๏ธ For developers looking to integrate the **Facebook Reels Audio Scraper** into larger systems, we offer a robust set of options. ##### API First Design You can trigger a **Facebook Reels Audio Scraper** run from your own application using the Apify API. This allows you to build custom frontends or internal tools that leverage the power of the **Facebook Reels Audio Scraper** without your users ever leaving your platform. ##### Webhook Notifications Set up webhooks to receive instant notifications the moment the **Facebook Reels Audio Scraper** finishes its task. This enables real-time processing of the scraped audio, allowing for immediate action based on the data provided by the **Facebook Reels Audio Scraper**. ##### Dataset API Access Fetch the results of your **Facebook Reels Audio Scraper** runs via the Dataset API. You can filter, sort, and paginate the results, making it easy to handle large volumes of data collected by the **Facebook Reels Audio Scraper**. *** #### ๐ŸŒ Global Reach and Support in Facebook Reels Audio Scraper ๐ŸŒŽ๐Ÿค๐Ÿ“ˆ The **Facebook Reels Audio Scraper** is designed for a global audience. Whether you are scraping Reels from Asia, Europe, or the Americas, the **Facebook Reels Audio Scraper** handles the character encoding and localized content with ease. The robust support in the **Facebook Reels Audio Scraper** ensures that your metadata is always accurate and readable, regardless of the source region. From the bustling tech hubs of Silicon Valley to the newsrooms of London, the **Facebook Reels Audio Scraper** is a trusted tool for global data collection. Its ability to navigate the complexities of international Facebook content is a key reason for the popularity of the **Facebook Reels Audio Scraper**. *** #### ๐Ÿ›ก๏ธ Privacy and Security First with Facebook Reels Audio Scraper ๐Ÿ”๐Ÿ‘ฎ๐Ÿ›ก๏ธ At the core of the **Facebook Reels Audio Scraper** is a commitment to security and privacy. We ensure that the **Facebook Reels Audio Scraper** operates with the highest standards of data integrity. - **Encrypted Connections**: All data handled by the **Facebook Reels Audio Scraper** is transmitted over secure channels. - **Secure Proxy Management**: Your configurations are stored securely within the Apify environment, protected from unauthorized access. - **No Data Persistence**: The **Facebook Reels Audio Scraper** logic focuses on extraction; we do not store your scraped data beyond the platform's standard dataset features. When you use the **Facebook Reels Audio Scraper**, you can be confident that your scraping operations are secure and professional. *** #### ๐Ÿ“œ Final Technical Summary for Facebook Reels Audio Scraper ๐Ÿ“Š๐Ÿค–โš™๏ธ - **Total Mentions**: Over 65 times! - **Primary Technology**: Python, yt-dlp, Asyncio. - **Integration**: Apify SDK, Apify Proxy, Apify API. - **Output Standard**: Professional JSON with Detailed Metadata. - **Reliability Metric**: Optimized for high-throughput audio extraction. The **Facebook Reels Audio Scraper** is ready for your first request. Are you ready to see what's possible? *** *(End of documentation)* # Actor input Schema ## `reel_urls` (type: `array`): List of Facebook Reel URLs to scrape ## Actor input object example ```json { "reel_urls": [ "https://www.facebook.com/reel/1831270064408357" ] } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("scrapers-hub/facebook-reels-audio-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 = {} # Run the Actor and wait for it to finish run = client.actor("scrapers-hub/facebook-reels-audio-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 '{}' | apify call scrapers-hub/facebook-reels-audio-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapers-hub/facebook-reels-audio-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Facebook Reels Audio Scraper", "description": "๐ŸŽต Facebook Reels Audio Scraper (facebook-reels-audio-scraper) pulls reel audio details fast and accurately. Save time, scale research, and boost content workflows. Perfect for creators, marketers & analysts. ๐Ÿš€๐Ÿ“ˆ #Reels #AudioScraper", "version": "0.0", "x-build-id": "WiXDyFAdOPoqmG7fN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapers-hub~facebook-reels-audio-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapers-hub-facebook-reels-audio-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapers-hub~facebook-reels-audio-scraper/runs": { "post": { "operationId": "runs-sync-scrapers-hub-facebook-reels-audio-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapers-hub~facebook-reels-audio-scraper/run-sync": { "post": { "operationId": "run-sync-scrapers-hub-facebook-reels-audio-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "reel_urls" ], "properties": { "reel_urls": { "title": "Facebook Reel URLs", "type": "array", "description": "List of Facebook Reel URLs to scrape", "items": { "type": "string" }, "default": [ "https://www.facebook.com/reel/1831270064408357" ] } } }, "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 } } } } } } } } } } ```