# Instagram Reels Post Scraper 🎬 (`scrapearchitect/instagram-reels-post-scraper`) Actor 🎬 Extract rich metadata from Reels instantly! Get likes ❀️, comments πŸ’¬, descriptions πŸ“, thumbnails πŸ–ΌοΈ, resolution πŸ“, author info πŸ‘€ & MOREβ€”no login needed! Perfect for analysts & marketers. πŸ” Instagram Reels Post Scraper πŸš€ - **URL**: https://apify.com/scrapearchitect/instagram-reels-post-scraper.md - **Developed by:** [Scrape Architect](https://apify.com/scrapearchitect) (community) - **Categories:** Social media, Videos, Developer tools - **Stats:** 13 total users, 0 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $5.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README --- ## πŸ“₯ Instagram Reels Post Scraper 🎬 – Advanced Metadata Extraction Tool ### πŸ“‹ Overview Need to **scrape detailed metadata from Instagram Reels** quickly, reliably, and at scale? You've found the ultimate solution! This **Instagram Reels Post Scraper** is a powerful Apify actor designed to extract a wealth of information from public Instagram Reel URLs. From engagement metrics like **likes and comments** to technical details like **resolution and duration**, this tool delivers comprehensive data in a single, structured JSON response. 🎯 Perfect for **social media managers, marketers, researchers, and developers** who need to analyze Reels performance, track trends, or fuel data-driven applications. > πŸš€ **Lightning-Fast Extraction**: Get detailed JSON metadata in seconds. > 🌟 **Rich Data Points**: Extract everything from descriptions to thumbnails to owner info. > πŸ”„ **Batch Processing**: Handle multiple Reel URLs in a single run. > 🌍 **Robust Infrastructure**: Built on Apify for reliability and scale. > πŸ“Š **No Login Required**: Access public data without Instagram credentials. --- ### ✨ Key Features #### 🎯 Comprehensive Metadata Extraction βœ… **Core Metrics**: Like count, comment count, view count (if available). βœ… **Content Details**: Full description, upload date, video duration. βœ… **Author Information**: Username, account owner ID. βœ… **Technical Specs**: Video resolution, format, aspect ratio. βœ… **Media Assets**: High-quality thumbnail URL, poster image. #### πŸ”§ Advanced Data Points βœ… **OpenGraph Tags**: `og:title`, `og:description`, `og:image`, `og:url`. βœ… **Twitter Card Tags**: `twitter:card`, `twitter:site`, `twitter:title`, `twitter:image`. βœ… **App Links**: Deep links for Instagram iOS and Android apps (`al:ios:url`, `al:android:url`). βœ… **Raw Meta Tags**: Access to every parsed tag for maximum flexibility. #### βš™οΈ Powerful Scraping Engine βœ… **Batch URL Support**: Process multiple Reels in one request. βœ… **High Success Rate**: Advanced parsing to handle Instagram's dynamic content. βœ… **Structured JSON Output**: Clean, predictable, and easy-to-parse data. --- ### βš™οΈ Input Configuration Simply provide an array of Instagram Reel URLs you want to scrape. The actor handles the rest! ```json { "reel_urls": [ { "url": "https://www.instagram.com/reel/DI4N8ZyNaGW/", "method": "GET" }, { "url": "https://www.instagram.com/reel/DIwULw2RynT/", "method": "GET" } ] } ```` #### πŸ“‹ Input Fields Table | Field | Type | Required | Emoji | Description | | :--- | :--- | :--- | :--- | :--- | | `reel_urls` | Array | Yes | 🎬 | A list of objects, each containing a Reel URL. | | `url` | String | Yes | πŸ”— | A valid public Instagram Reel URL. | | `method` | String | Yes | βš™οΈ | The HTTP method to use (typically `"GET"`). | *** ### πŸ“€ Output Example The actor returns an array of objects, each packed with metadata for a single Reel. Below is a detailed example showcasing the extensive data extracted. ```json [ { "input_url": "https://www.instagram.com/reel/DI4N8ZyNaGW/", "upload_date": "April 25, 2025", "author_username": "photoshop", "description": "Live from Adobe MAX London: a creative pro workflow in action. From Photoshop edits and Firefly-powered visuals to blend mode precision and seamless color correction. This demo brings serious design power to your fingertips. ⚑🎨.", "like_count": 2426, "comment_count": 61, "duration": 60.059, "thumbnail": "https://scontent-sjc6-1.cdninstagram.com/v/t51.2885-15/503083137_676368641906708_1014457861134201731_n.jpg?...", "ext": "mp4", "resolution": "612x764", "width": 612, "height": 764, "shortcode": "DI4N8ZyNaGW", "owner_user_id": "1311592681", "account_owner": "1311592681", "username": "Adobe Photoshop", "raw_title": "Video by photoshop", "og:title": "Adobe Photoshop on Instagram: \"Live from Adobe MAX London: a creative pro workflow in action. From Photoshop edits and Firefly-powered visuals to blend mode precision and seamless color correction. This demo brings serious design power to your fingertips. ⚑🎨\"", "og:description": "1,379 likes, 27 comments - photoshop on April 25, 2025: \"Live from Adobe MAX London: a creative pro workflow in action. From Photoshop edits and Firefly-powered visuals to blend mode precision and seamless color correction. This demo brings serious design power to your fingertips. ⚑🎨\".", "og:url": "https://www.instagram.com/photoshop/reel/DI4N8ZyNaGW/", "og:image": "https://scontent.cdninstagram.com/v/t51.71878-15/503083137_676368641906708_1014457861134201731_n.jpg?...", "twitter:card": "summary_large_image", "twitter:site": "@instagram", "twitter:title": "Adobe Photoshop (@photoshop) β€’ Instagram reel", "twitter:image": "https://scontent.cdninstagram.com/v/t51.71878-15/503083137_676368641906708_1014457861134201731_n.jpg?...", "application-title": "Instagram", "theme-color": "#ffffff", "viewport": "width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=2, viewport-fit=cover", "color-scheme": "light", "robots": "noarchive, noimageindex", "bingbot": "noarchive", "medium": "image", "fb:app_id": "124024574287414", "instapp:owner_user_id": "1311592681", "al:ios:url": "instagram://media?id=3618703626051363222", "al:ios:app_name": "Instagram", "al:ios:app_store_id": "389801252", "al:android:url": "https://www.instagram.com/reel/DI4N8ZyNaGW/", "al:android:package": "com.instagram.android", "al:android:app_name": "Instagram", "image_url": "https://scontent.cdninstagram.com/v/t51.71878-15/503083137_676368641906708_1014457861134201731_n.jpg?...", "format": "2 - 612x764", "twitter:maxage": "86400" } ] ``` #### 🧾 Output Fields Categorized | Category | Field | Emoji | Description | | :--- | :--- | :--- | :--- | | **Core Info** | `input_url` | πŸ”— | The original URL that was scraped. | | | `shortcode` | #️⃣ | The unique identifier for the Reel. | | **Content & Engagement** | `description` | πŸ“ | The full text/caption of the Reel. | | | `like_count` | ❀️ | The number of likes on the Reel. | | | `comment_count` | πŸ’¬ | The number of comments on the Reel. | | | `upload_date` | πŸ“… | The date the Reel was posted. | | | `duration` | ⏱️ | The length of the video in seconds. | | **Author Info** | `author_username` | πŸ‘€ | The handle of the account that posted the Reel. | | | `owner_user_id` | πŸ†” | The numerical user ID of the account owner. | | | `username` | πŸ“› | The display name of the account. | | **Technical Specs** | `resolution` | πŸ“ | The video resolution (e.g., `612x764`). | | | `width` | ↔️ | The video width in pixels. | | | `height` | ↕️ | The video height in pixels. | | | `ext` | πŸ“ | The video file extension (e.g., `mp4`). | | **Media URLs** | `thumbnail` | πŸ–ΌοΈ | A direct URL to the video thumbnail image. | | | `og:image` | πŸ–ΌοΈ | The OpenGraph image URL. | | | `twitter:image` | πŸ–ΌοΈ | The Twitter card image URL. | | **Meta Tags** | `og:title`, `twitter:title` | 🏷️ | Title tags for social sharing. | | | `og:description` | 🏷️ | Description tags for social sharing. | | | `robots`, `bingbot` | πŸ€– | Search engine indexing directives. | *** ### 🎯 Use Cases πŸ‘¨β€πŸ’» **Social Media Analysts**: Track engagement metrics and performance trends over time.\ πŸ“Š **Digital Marketers**: Analyze competitor Reels and benchmark content performance.\ πŸ€– **Developers**: Feed data into custom dashboards, applications, or automation tools.\ πŸŽ“ **Researchers**: Conduct large-scale studies on social media content and user behavior.\ πŸ’‘ **Content Creators**: Get inspiration and understand what makes a Reel successful. *** ### πŸ”’ Privacy & Compliance πŸ” **Public Data Only**: This actor only scrapes data from public Instagram profiles and Reels.\ πŸ“œ **Compliance**: It is designed to respect `robots` meta tags and Instagram's Terms of Service by not bypassing any access controls. Users are responsible for using the actor in compliance with local laws and regulations.\ 🚫 **No Login Required**: Eliminates the risk associated with credential handling. *** ### πŸš€ Try It Now! Ready to unlock the full potential of Instagram Reels data? Launch the **Instagram Reels Post Scraper** on the Apify platform and start extracting valuable insights today! *** # Actor input Schema ## `reel_urls` (type: `array`): List of public Instagram Reels URLs. ## Actor input object example ```json { "reel_urls": [ { "url": "https://www.instagram.com/reel/DI4N8ZyNaGW/" }, { "url": "https://www.instagram.com/reel/DIwULw2RynT/" } ] } ``` # 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 = { "reel_urls": [ { "url": "https://www.instagram.com/reel/DI4N8ZyNaGW/" }, { "url": "https://www.instagram.com/reel/DIwULw2RynT/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapearchitect/instagram-reels-post-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 = { "reel_urls": [ { "url": "https://www.instagram.com/reel/DI4N8ZyNaGW/" }, { "url": "https://www.instagram.com/reel/DIwULw2RynT/" }, ] } # Run the Actor and wait for it to finish run = client.actor("scrapearchitect/instagram-reels-post-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 '{ "reel_urls": [ { "url": "https://www.instagram.com/reel/DI4N8ZyNaGW/" }, { "url": "https://www.instagram.com/reel/DIwULw2RynT/" } ] }' | apify call scrapearchitect/instagram-reels-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapearchitect/instagram-reels-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Reels Post Scraper 🎬", "description": "🎬 Extract rich metadata from Reels instantly! Get likes ❀️, comments πŸ’¬, descriptions πŸ“, thumbnails πŸ–ΌοΈ, resolution πŸ“, author info πŸ‘€ & MOREβ€”no login needed! Perfect for analysts & marketers. πŸ” Instagram Reels Post Scraper πŸš€", "version": "1.0", "x-build-id": "cifRyGDMkw1KK7pmi" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapearchitect~instagram-reels-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapearchitect-instagram-reels-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapearchitect~instagram-reels-post-scraper/runs": { "post": { "operationId": "runs-sync-scrapearchitect-instagram-reels-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapearchitect~instagram-reels-post-scraper/run-sync": { "post": { "operationId": "run-sync-scrapearchitect-instagram-reels-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Instagram Reels URLs", "type": "array", "description": "List of public Instagram Reels URLs.", "items": { "type": "object", "properties": { "url": { "title": "Reel URL", "description": "Full URL of the public Instagram Reel.", "type": "string", "pattern": "^https://(?:www\\.)?instagram\\.com/(?:[a-zA-Z0-9_.]+/)?reels?/[a-zA-Z0-9_-]+/?(?:\\?[^\\s]*)?$" } }, "required": [ "url" ] } } } }, "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 } } } } } } } } } } ```