# 🔥 Instagram Reel Scraper (`easyapi/instagram-reel-scraper`) Actor Scrape Instagram reels from profiles or reel URLs. Get captions, engagement metrics, video URLs, audio metadata, and optional transcripts in clean JSON. - **URL**: https://apify.com/easyapi/instagram-reel-scraper.md - **Developed by:** [EasyApi](https://apify.com/easyapi) (community) - **Categories:** Social media, Videos - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $4.99 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## 🔥 Instagram Reel Scraper Scrape public Instagram reels from profiles or direct reel URLs. Get captions, engagement metrics, video/audio URLs, tagged users, music info, and optional transcripts in clean JSON. ### ✨ Key Features - 🎥 Extract reels from **usernames, profile URLs/IDs, or reel URLs** - ❤️ Likes, comments, views, plays, and optional share counts - 📝 Caption, hashtags, mentions, and tagged users - 🎶 Music / original audio metadata - ✍️ Optional **audio transcript** (paid upstream add-on) - ⬇️ Optional **downloaded video** copy (paid upstream add-on) - 📅 Date filter, skip pinned, and skip trial reels - 📋 Structured JSON output, streamed while the run is in progress ### 💪 Why Choose This Actor? - **Focused**: Built specifically for Instagram reel extraction - **Flexible**: Profiles and reel URLs in the same run - **Efficient**: Results are pushed continuously while the job runs - **Structured**: Renamed, integration-friendly field names - **Reliable**: Stable public-data extraction ### 🎯 Perfect For - 📊 Influencer and short-form content research - 🔥 Campaign and competitor reel tracking - 🏢 UGC and brand-mention monitoring - 🤖 LLM / RAG pipelines that need captions + transcripts ### 📝 Input Requirements - `targets` (required): Usernames, profile URLs/IDs, and/or reel URLs - `maxReelsPerProfile` (optional): Max reels per profile. Default: `25`. Ignored for direct reel URLs - `postedAfter` (optional): Only reels newer than a date or relative value - `skipPinned` (optional): Skip pinned reels. Default: `false` - `skipTrial` (optional): Skip trial reels. Default: `false` - `includeShareCount` (optional): Include share counts. Default: `false` (paid add-on) - `includeTranscript` (optional): Include audio transcript. Default: `false` (paid add-on) - `includeVideoDownload` (optional): Download and store video. Default: `false` (paid add-on) #### Input Example ```json { "targets": [ "natgeo", "https://www.instagram.com/reel/DX7lzTOJ1p6/" ], "maxReelsPerProfile": 10, "postedAfter": "1 month", "skipPinned": false, "skipTrial": false } ```` #### Output Example ```json { "sourceUrl": "https://www.instagram.com/natgeo", "reelId": "3889868956217334394", "mediaType": "Video", "code": "DX7lzTOJ1p6", "text": "this is your sign to stop neglecting your scalp 🤭 #ad", "tags": ["ad", "sephorasquad", "sephora"], "mentionedUsers": ["dysonusa", "sephora"], "reelUrl": "https://www.instagram.com/p/DX7lzTOJ1p6/", "commentCount": 24, "likeCount": 286, "playCount": 10977, "videoUrl": "https://scontent.cdninstagram.com/...", "durationSecs": 51.151, "publishedAt": "2026-05-04T21:05:19.000Z", "authorUsername": "lyssamariexo", "authorName": "alyssa marie", "contentKind": "clips", "scrapedAt": "2026-07-21T03:00:00.000Z" } ``` ### 🚀 How to Use 1. Add usernames, profile URLs, or reel URLs to `targets` 2. Optionally set date filters and add-ons 3. Click **Start** and download results as JSON, CSV, Excel, or HTML ### 📌 Notes - Only **public** Instagram reels can be scraped - Direct reel URLs ignore `maxReelsPerProfile` and `postedAfter` - Transcript / download / share-count features are paid upstream add-ons - Free users of this actor have run and result-size limits; upgrade for unlimited usage # Actor input Schema ## `targets` (type: `array`): Usernames, profile URLs/IDs, or direct reel URLs. Direct reel URLs ignore maxReelsPerProfile and postedAfter. ## `maxReelsPerProfile` (type: `integer`): Max reels to scrape per profile target. Ignored for direct reel URLs. ## `postedAfter` (type: `string`): Limit how far back to go. Use YYYY-MM-DD / ISO, or a relative value (e.g. 1 day, 2 weeks, 3 months). Times are UTC. ## `skipPinned` (type: `boolean`): Exclude pinned reels from profile scrapes. ## `skipTrial` (type: `boolean`): Exclude Instagram trial reels (videos tested with non-followers before wider release). ## `includeShareCount` (type: `boolean`): Extract share counts for each reel. Paid upstream add-on. ## `includeTranscript` (type: `boolean`): Extract an audio transcript for each reel. Paid upstream add-on (billed per minute of audio). ## `includeVideoDownload` (type: `boolean`): Download reel video and store a local copy before Instagram links expire. Paid upstream add-on (billed per MB). ## Actor input object example ```json { "targets": [ "natgeo", "https://www.instagram.com/reel/DX7lzTOJ1p6/" ], "maxReelsPerProfile": 10, "postedAfter": "1 month", "skipPinned": false, "skipTrial": false, "includeShareCount": false, "includeTranscript": false, "includeVideoDownload": false } ``` # 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 = { "targets": [ "natgeo", "https://www.instagram.com/reel/DX7lzTOJ1p6/" ], "maxReelsPerProfile": 10, "postedAfter": "1 month", "skipPinned": false, "skipTrial": false, "includeShareCount": false, "includeTranscript": false, "includeVideoDownload": false }; // Run the Actor and wait for it to finish const run = await client.actor("easyapi/instagram-reel-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 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); }); // 📚 Want to learn more 📖? Go to → 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 = { "targets": [ "natgeo", "https://www.instagram.com/reel/DX7lzTOJ1p6/", ], "maxReelsPerProfile": 10, "postedAfter": "1 month", "skipPinned": False, "skipTrial": False, "includeShareCount": False, "includeTranscript": False, "includeVideoDownload": False, } # Run the Actor and wait for it to finish run = client.actor("easyapi/instagram-reel-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "targets": [ "natgeo", "https://www.instagram.com/reel/DX7lzTOJ1p6/" ], "maxReelsPerProfile": 10, "postedAfter": "1 month", "skipPinned": false, "skipTrial": false, "includeShareCount": false, "includeTranscript": false, "includeVideoDownload": false }' | apify call easyapi/instagram-reel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easyapi/instagram-reel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "🔥 Instagram Reel Scraper", "description": "Scrape Instagram reels from profiles or reel URLs. Get captions, engagement metrics, video URLs, audio metadata, and optional transcripts in clean JSON.", "version": "0.0", "x-build-id": "YqKSjXd4MnUIeCnft" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easyapi~instagram-reel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easyapi-instagram-reel-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easyapi~instagram-reel-scraper/runs": { "post": { "operationId": "runs-sync-easyapi-instagram-reel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easyapi~instagram-reel-scraper/run-sync": { "post": { "operationId": "run-sync-easyapi-instagram-reel-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "targets" ], "properties": { "targets": { "title": "Instagram usernames, profile URLs, IDs, or reel URLs", "type": "array", "description": "Usernames, profile URLs/IDs, or direct reel URLs. Direct reel URLs ignore maxReelsPerProfile and postedAfter.", "items": { "type": "string" } }, "maxReelsPerProfile": { "title": "Maximum reels per profile", "minimum": 1, "type": "integer", "description": "Max reels to scrape per profile target. Ignored for direct reel URLs.", "default": 25 }, "postedAfter": { "title": "Only reels newer than", "pattern": "^(\\d{4})-(0[1-9]|1[0-2])-(0[1-9]|[12]\\d|3[01])(T[0-2]\\d:[0-5]\\d(:[0-5]\\d)?(\\.\\d+)?Z?)?$|^(\\d+)\\s*(minute|hour|day|week|month|year)s?$", "type": "string", "description": "Limit how far back to go. Use YYYY-MM-DD / ISO, or a relative value (e.g. 1 day, 2 weeks, 3 months). Times are UTC." }, "skipPinned": { "title": "Skip pinned reels", "type": "boolean", "description": "Exclude pinned reels from profile scrapes.", "default": false }, "skipTrial": { "title": "Skip trial reels", "type": "boolean", "description": "Exclude Instagram trial reels (videos tested with non-followers before wider release).", "default": false }, "includeShareCount": { "title": "Include share count", "type": "boolean", "description": "Extract share counts for each reel. Paid upstream add-on.", "default": false }, "includeTranscript": { "title": "Include transcript", "type": "boolean", "description": "Extract an audio transcript for each reel. Paid upstream add-on (billed per minute of audio).", "default": false }, "includeVideoDownload": { "title": "Include downloaded video", "type": "boolean", "description": "Download reel video and store a local copy before Instagram links expire. Paid upstream add-on (billed per MB).", "default": false } } }, "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 } } } } } } } } } } ```