# Instagram Scraper - Profiles, Posts, Reels & Comments (`aiscraperdev/scrape-instagram-profiles-posts-reels`) Actor Extract Instagram profiles, posts, reels, comments, and hashtags without login or API access. Input a direct URL, username, or hashtag and get structured JSON/CSV data including captions, likes, views, followers, and engagement metrics. Fast, reliable, no authentication required. - **URL**: https://apify.com/aiscraperdev/scrape-instagram-profiles-posts-reels.md - **Developed by:** [Randeep Dhillon](https://apify.com/aiscraperdev) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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 Public Data Scraper Scrape publicly available Instagram profiles, posts, reels, hashtags, and search queries at scale **without requiring Instagram login credentials or API keys**. --- ### Features - 👤 **Profile Scraping**: Extract profile bio, follower count, following count, post count, verification status, category, external URL, and latest posts. - 📸 **Post Scraping**: Extract post captions, shortcodes, post IDs, hashtags, mentions, likes count, comments count, timestamps, owner details, and media URLs. - 🎬 **Reel Scraping**: Extract video view/play count, audio track metadata (title, artist, audio URL), video source URL, and thumbnail. - #️⃣ **Hashtag Scraping**: Extract total post count, top posts, and recent posts for any target hashtag. - 🔍 **Search Query Scraping**: Extract profile search results matching search terms. - 🚨 **Structured Error Emitter**: Guarantees raw exceptions are never thrown. Returns structured error records (`PROFILE_PRIVATE`, `POST_NOT_FOUND`, `LOGIN_REQUIRED`, `RATE_LIMITED`, `PROXY_BLOCKED`). - 📊 **Strict Dataset Consistency**: All fields are present in every dataset row (`null` returned for unavailable values), making export to CSV, Excel, BigQuery, PostgreSQL, and AI/RAG pipelines flawless. --- ### How to Use #### Step 1 — Define your target inputs Specify your target Instagram usernames: - **`usernames`**: Array of Instagram account usernames (e.g. `["focus.on.form", "betamatkarmemes"]`). - **`urls`** (optional): Array of full Instagram URLs (profiles, posts, reels, hashtags). - **`searchQueries`** (optional): Array of search terms (e.g. `["fitness"]`). - **`hashtags`** (optional): Array of hashtag names (e.g. `["fitness"]`). #### Step 2 — Configure options - Set `maxItems` to cap the number of extracted items per query/feed. - Toggle `scrapeProfiles`, `scrapePosts`, `scrapeReels`, or `scrapeComments`. - Enable Apify Proxy for automatic IP rotation and anti-bot bypass. #### Step 3 — Run & Export Click **Start** and export your structured dataset in **JSON, CSV, Excel, or JSONL**. --- ### Input Reference ```json { "usernames": [ "focus.on.form", "betamatkarmemes" ], "maxItems": 100, "scrapeProfiles": true, "scrapePosts": true, "scrapeReels": true, "searchQueries": [ "fitness", "gym motivation" ], "hashtags": [ "fitness", "bodybuilding" ], "maxItems": 100, "scrapeProfiles": true, "scrapePosts": true, "scrapeReels": true, "scrapeComments": false, "oldestPostDate": "2025-01-01", "newestPostDate": "2026-12-31", "proxyConfiguration": { "useApifyProxy": true } } ```` *** ### Dataset Output Schemas #### 1. Profile Output Sample ```json { "scrapeType": "profile", "scrapedAt": "2026-07-22T12:00:00.000Z", "url": "https://www.instagram.com/nike/", "username": "nike", "fullName": "Nike", "biography": "Just Do It.", "isVerified": true, "isBusinessAccount": true, "isPrivate": false, "followersCount": 305000000, "followingCount": 150, "postsCount": 1200, "externalUrl": "https://www.nike.com", "profilePicUrl": "https://scontent.cdninstagram.com/v/t51.2885-19/nike.jpg", "highlightReelCount": 5, "category": "Clothing (Brand)", "businessAddress": null, "businessEmail": null, "businessPhone": null, "latestPosts": [] } ``` #### 2. Post Output Sample ```json { "scrapeType": "post", "scrapedAt": "2026-07-22T12:00:00.000Z", "url": "https://www.instagram.com/p/C12345678/", "shortCode": "C12345678", "postId": "3210987654321", "caption": "Morning workout routine #fitness #gym", "hashtags": ["fitness", "gym"], "mentions": [], "likesCount": 12500, "commentsCount": 430, "videoViewCount": null, "timestamp": "2026-07-21T08:30:00.000Z", "ownerUsername": "fitnessguy", "ownerId": "987654321", "isVideo": false, "dimensions": { "width": 1080, "height": 1080 }, "mediaUrls": ["https://scontent.cdninstagram.com/v/post1.jpg"], "locationName": "Venice Beach", "locationId": "123456" } ``` #### 3. Structured Error Sample ```json { "success": false, "errorCode": "PROFILE_PRIVATE", "message": "Profile is private", "url": "https://www.instagram.com/private_user/" } ``` *** ### Anti-Bot & Evasion Mechanics - **Automatic Proxy Rotation**: Uses Apify Residential/Datacenter proxy pools to bypass IP throttling. - **Request Retries & Backoff**: Automatically retries 429 and 5xx response codes with exponential backoff delays. - **Header & Browser Randomization**: Emulates genuine Chromium browser fingerprints. *** ### Export & AI Pipeline Compatibility Output dataset JSON structures strictly preserve object key schemas. Keys with missing data return `null` instead of being omitted, allowing seamless loading into **PostgreSQL, BigQuery, Snowflake, Pandas, Excel, and LLM RAG pipelines**. # Actor input Schema ## `usernames` (type: `array`): List of Instagram account usernames to scrape (e.g. 'focus.on.form', 'betamatkarmemes'). ## `urls` (type: `array`): Optional list of full Instagram profile, post, reel, or hashtag URLs to scrape. ## `searchQueries` (type: `array`): List of search terms to query on Instagram search. ## `hashtags` (type: `array`): List of hashtags to scrape (without the # symbol). ## `maxItems` (type: `integer`): Maximum number of posts, reels, comments, or search results to extract. ## `scrapeProfiles` (type: `boolean`): Whether to extract profile information when visiting profile URLs or usernames. ## `scrapePosts` (type: `boolean`): Whether to extract post content when visiting profile feeds. ## `scrapeReels` (type: `boolean`): Whether to extract Reel metadata and media URLs. ## `scrapeComments` (type: `boolean`): Extract comments for posts or reels. ## `includeFollowers` (type: `boolean`): Attempt to extract public followers count and highlights. ## `includeFollowing` (type: `boolean`): Attempt to extract public following count. ## `oldestPostDate` (type: `string`): Filter posts newer than or equal to this date (YYYY-MM-DD). ## `newestPostDate` (type: `string`): Filter posts older than or equal to this date (YYYY-MM-DD). ## `downloadImages` (type: `boolean`): Extract direct full-resolution image media URLs. ## `downloadVideos` (type: `boolean`): Extract direct full-resolution video media URLs. ## `proxyConfiguration` (type: `object`): Apify Proxy configuration for IP rotation and stealth anti-bot bypass. ## Actor input object example ```json { "usernames": [ "focus.on.form" ], "urls": [], "searchQueries": [], "hashtags": [], "maxItems": 100, "scrapeProfiles": true, "scrapePosts": true, "scrapeReels": true, "scrapeComments": false, "includeFollowers": false, "includeFollowing": false, "oldestPostDate": "", "newestPostDate": "", "downloadImages": false, "downloadVideos": false, "proxyConfiguration": { "useApifyProxy": true } } ``` # Actor output Schema ## `dataset` (type: `string`): No description # 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 = { "usernames": [ "focus.on.form" ], "urls": [], "searchQueries": [], "hashtags": [], "maxItems": 100, "scrapeProfiles": true, "scrapePosts": true, "scrapeReels": true, "scrapeComments": false, "includeFollowers": false, "includeFollowing": false, "oldestPostDate": "", "newestPostDate": "", "downloadImages": false, "downloadVideos": false, "proxyConfiguration": { "useApifyProxy": true } }; // Run the Actor and wait for it to finish const run = await client.actor("aiscraperdev/scrape-instagram-profiles-posts-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 = { "usernames": ["focus.on.form"], "urls": [], "searchQueries": [], "hashtags": [], "maxItems": 100, "scrapeProfiles": True, "scrapePosts": True, "scrapeReels": True, "scrapeComments": False, "includeFollowers": False, "includeFollowing": False, "oldestPostDate": "", "newestPostDate": "", "downloadImages": False, "downloadVideos": False, "proxyConfiguration": { "useApifyProxy": True }, } # Run the Actor and wait for it to finish run = client.actor("aiscraperdev/scrape-instagram-profiles-posts-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 '{ "usernames": [ "focus.on.form" ], "urls": [], "searchQueries": [], "hashtags": [], "maxItems": 100, "scrapeProfiles": true, "scrapePosts": true, "scrapeReels": true, "scrapeComments": false, "includeFollowers": false, "includeFollowing": false, "oldestPostDate": "", "newestPostDate": "", "downloadImages": false, "downloadVideos": false, "proxyConfiguration": { "useApifyProxy": true } }' | apify call aiscraperdev/scrape-instagram-profiles-posts-reels --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aiscraperdev/scrape-instagram-profiles-posts-reels", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Scraper - Profiles, Posts, Reels & Comments", "description": "Extract Instagram profiles, posts, reels, comments, and hashtags without login or API access. Input a direct URL, username, or hashtag and get structured JSON/CSV data including captions, likes, views, followers, and engagement metrics. Fast, reliable, no authentication required.", "version": "0.0", "x-build-id": "pNusUU8FfcbWegKzN" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aiscraperdev~scrape-instagram-profiles-posts-reels/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aiscraperdev-scrape-instagram-profiles-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aiscraperdev~scrape-instagram-profiles-posts-reels/runs": { "post": { "operationId": "runs-sync-aiscraperdev-scrape-instagram-profiles-posts-reels", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aiscraperdev~scrape-instagram-profiles-posts-reels/run-sync": { "post": { "operationId": "run-sync-aiscraperdev-scrape-instagram-profiles-posts-reels", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames", "proxyConfiguration" ], "properties": { "usernames": { "title": "Instagram Usernames", "type": "array", "description": "List of Instagram account usernames to scrape (e.g. 'focus.on.form', 'betamatkarmemes').", "default": [ "focus.on.form" ], "items": { "type": "string" } }, "urls": { "title": "Target Instagram URLs (Optional)", "type": "array", "description": "Optional list of full Instagram profile, post, reel, or hashtag URLs to scrape.", "default": [], "items": { "type": "string" } }, "searchQueries": { "title": "Search Queries (Optional)", "type": "array", "description": "List of search terms to query on Instagram search.", "default": [], "items": { "type": "string" } }, "hashtags": { "title": "Hashtags (Optional)", "type": "array", "description": "List of hashtags to scrape (without the # symbol).", "default": [], "items": { "type": "string" } }, "maxItems": { "title": "Max Items per Target", "minimum": 1, "type": "integer", "description": "Maximum number of posts, reels, comments, or search results to extract.", "default": 100 }, "scrapeProfiles": { "title": "Scrape Profiles", "type": "boolean", "description": "Whether to extract profile information when visiting profile URLs or usernames.", "default": true }, "scrapePosts": { "title": "Scrape Posts", "type": "boolean", "description": "Whether to extract post content when visiting profile feeds.", "default": true }, "scrapeReels": { "title": "Scrape Reels", "type": "boolean", "description": "Whether to extract Reel metadata and media URLs.", "default": true }, "scrapeComments": { "title": "Scrape Comments", "type": "boolean", "description": "Extract comments for posts or reels.", "default": false }, "includeFollowers": { "title": "Include Followers Data", "type": "boolean", "description": "Attempt to extract public followers count and highlights.", "default": false }, "includeFollowing": { "title": "Include Following Data", "type": "boolean", "description": "Attempt to extract public following count.", "default": false }, "oldestPostDate": { "title": "Oldest Post Date", "type": "string", "description": "Filter posts newer than or equal to this date (YYYY-MM-DD).", "default": "" }, "newestPostDate": { "title": "Newest Post Date", "type": "string", "description": "Filter posts older than or equal to this date (YYYY-MM-DD).", "default": "" }, "downloadImages": { "title": "Download Images", "type": "boolean", "description": "Extract direct full-resolution image media URLs.", "default": false }, "downloadVideos": { "title": "Download Videos", "type": "boolean", "description": "Extract direct full-resolution video media URLs.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify Proxy configuration for IP rotation and stealth anti-bot bypass.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```