# Instagram Profile Reels Scraper · No Login (`data-slayer/instagram-profile-reels`) Actor Scrape all Reels from any Instagram profile by username — no login. Get play counts, likes, comments, shares, saves, reposts, captions, hashtags, audio metadata, video URLs, and timestamps. 133 fields per Reel. Competitor analysis and influencer research. JSON/CSV/Excel. - **URL**: https://apify.com/data-slayer/instagram-profile-reels.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Social media, Lead generation - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Instagram Profile Reels Scraper · No Login Get every Reel from any Instagram profile by username — with 133 data fields per Reel including play counts, save counts, repost counts, audio metadata, and direct video URLs. No login required. ### What You Get 133 fields per Reel. Here are the ones that matter: #### Engagement metrics | Field | Description | |---|---| | `play_count` | Total video views | | `ig_play_count` | Instagram-native view count | | `like_count` | Total likes | | `comment_count` | Total comments | | `share_count` | Total shares / sends | | `save_count` | Times saved to collections ✦ | | `repost_count` | Times reposted by others ✦ | ✦ `save_count` and `repost_count` are not available in keyword-based Reel scrapers — unique to this actor. #### Content data | Field | Description | |---|---| | `caption.text` | Full caption | | `caption.hashtags` | Pre-parsed hashtag array | | `caption.mentions` | Pre-parsed @mentions array | | `video_url` | Direct video file URL | | `video_duration` | Length in seconds | | `thumbnail_url` | Thumbnail image URL | | `taken_at_date` | Post date (ISO format) | | `media_type` | Type (Reel / video) | #### Audio & music | Field | Description | |---|---| | `clips_metadata.audio_type` | Original vs. licensed | | `clips_metadata.original_sound_info.audio_id` | Audio track ID | | `clips_metadata.original_sound_info.original_audio_title` | Track name | | `music_metadata` | Full music info (artist, title) | #### Creator profile | Field | Description | |---|---| | `user.username` | Creator handle | | `user.full_name` | Display name | | `user.is_verified` | Blue check status | | `user.profile_pic_url` | Profile picture URL | ### Keyword Search vs. Profile Reels | | [Reels Search](https://apify.com/data-slayer/instagram-search-reels) | **This Actor** | |---|---|---| | Input | Keyword ("fitness tips") | Username (@nike) | | Returns | Reels from across Instagram | All Reels from one profile | | `save_count` | ❌ | ✅ | | `repost_count` | ❌ | ✅ | | Best for | Content discovery | Creator & competitor analysis | ### How It Works **Step 1.** Enter an Instagram username (e.g., `cristiano`, `nike`, or a full profile URL). **Step 2.** Click "Start." The actor extracts all Reels from that profile with full metadata. **Step 3.** Download as JSON, CSV, or Excel from the Dataset tab. ### 📺 Video Tutorial *Coming soon* --- ### Use Cases **Competitor content analysis.** Scrape a competitor's entire Reel history. Sort by `play_count` or `share_count` to find their top-performing content. Study what hooks, formats, and lengths drive views. Apply those patterns to your own content. **Influencer vetting.** Before signing an influencer, pull all their Reels. Analyze average view counts, engagement rates, posting frequency, and content consistency. `save_count` and `repost_count` tell you how shareable their content actually is — signals most vetting tools miss. **Audio trend tracking.** Every Reel includes full audio metadata. See which sounds a creator uses and which ones correlate with their highest-performing content. Build a data-driven sound strategy. **Content calendar research.** Scrape 5–10 top accounts in your niche. Analyze posting frequency via `taken_at_date`, identify which days/times generate highest engagement, and map the content types that perform best. **Agency reporting.** Schedule weekly scrapes of client profiles. Track `play_count` and `like_count` trends over time. Export to Google Sheets or your reporting dashboard for automated client updates. --- ### Sample Output ```json { "play_count": 65140709, "ig_play_count": 60326992, "like_count": 4107826, "comment_count": 46277, "share_count": 101417, "save_count": 44956, "repost_count": 111447, "video_url": "https://scontent.cdninstagram.com/...", "video_duration": 30, "thumbnail_url": "https://scontent.cdninstagram.com/...", "taken_at_date": "2026-04-30T14:03:10+00:00", "caption": { "text": "Caption text here...", "hashtags": ["#hashtag1", "#hashtag2"], "mentions": ["@mention1"] }, "clips_metadata": { "audio_type": "original_sounds", "original_sound_info": { "audio_id": 939635911650210, "original_audio_title": "Original audio" } }, "user": { "username": "cristiano", "full_name": "Cristiano Ronaldo", "is_verified": true } } ```` *** ### Key Features **133 fields per Reel.** Including `save_count` and `repost_count` — engagement signals not available from keyword-based Reel scrapers. **Pre-parsed captions.** Hashtags and mentions extracted into separate arrays. No regex needed. **No login, no cookies.** No Instagram account needed. No ban risk. **Export-ready.** JSON, CSV, Excel. Works with Google Sheets, Clay, Make, Zapier, n8n. *** ### FAQ **How is this different from the Reels Search actor?** The [Reels Search](https://apify.com/data-slayer/instagram-search-reels) actor takes a keyword and finds Reels from across Instagram. This actor takes a username and returns all Reels from that specific profile. Use Search Reels to discover content, use this actor to analyze a creator. **How many Reels can I get per profile?** The actor paginates through the full Reel history. For prolific creators, set a `maxResults` limit to control cost and run time. **Does it include Reels posted to the profile grid?** Yes — all Reels visible on the profile page, including those originally posted as Stories that were shared to the grid. *** ### 🧩 Other Instagram Actors by Data Slayer | Actor | What it does | Link | |---|---|---| | Instagram Reels Search | Discover trending Reels by keyword | [Try it →](https://apify.com/data-slayer/instagram-search-reels) | | Instagram Contact & Email Finder | Emails & phones from profiles | [Try it →](https://apify.com/data-slayer/instagram-user-info-scraper-cookieless) | | Instagram Profile Posts Scraper | All posts (images + carousels) from a profile | [Try it →](https://apify.com/data-slayer/instagram-posts) | | Instagram Followers Scraper | Follower lists from any account | [Try it →](https://apify.com/data-slayer/instagram-followers-scraper---no-login) | | Instagram Post Likes Scraper | Who liked a post | [Try it →](https://apify.com/data-slayer/instagram-likes) | | Instagram Hashtag Posts | Posts & Reels by hashtag | [Try it →](https://apify.com/data-slayer/instagram-hashtags-scraper-no-login-required) | *** ### 💬 Feedback & Support We actively maintain this actor and ship improvements weekly. If you run into issues or want new features, open an issue on the **Issues tab** or leave a rating. We respond within 24 hours. # Actor input Schema ## `username` (type: `string`): Instagram username or profile URL ## `maxResults` (type: `integer`): Maximum number of Reels to return ## Actor input object example ```json { "username": "cristiano", "maxResults": 50 } ``` # 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 = { "username": "cristiano" }; // Run the Actor and wait for it to finish const run = await client.actor("data-slayer/instagram-profile-reels").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 = { "username": "cristiano" } # Run the Actor and wait for it to finish run = client.actor("data-slayer/instagram-profile-reels").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 '{ "username": "cristiano" }' | apify call data-slayer/instagram-profile-reels --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data-slayer/instagram-profile-reels", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Reels Scraper · No Login", "description": "Scrape all Reels from any Instagram profile by username — no login. Get play counts, likes, comments, shares, saves, reposts, captions, hashtags, audio metadata, video URLs, and timestamps. 133 fields per Reel. Competitor analysis and influencer research. JSON/CSV/Excel.", "version": "1.0", "x-build-id": "WSsrPqahMTaiUdmy1" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data-slayer~instagram-profile-reels/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data-slayer-instagram-profile-reels", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data-slayer~instagram-profile-reels/runs": { "post": { "operationId": "runs-sync-data-slayer-instagram-profile-reels", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data-slayer~instagram-profile-reels/run-sync": { "post": { "operationId": "run-sync-data-slayer-instagram-profile-reels", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username" ], "properties": { "username": { "title": "Instagram Username", "type": "string", "description": "Instagram username or profile URL" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of Reels to return", "default": 50 } } }, "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 } } } } } } } } } } ```