# Instagram Profile Scraper 🔥🔥 (`boneswill/instagram-profile-scraper`) Actor Efficiently extract instagram profiles - **URL**: https://apify.com/boneswill/instagram-profile-scraper.md - **Developed by:** [succexx\_DEV](https://apify.com/boneswill) (community) - **Categories:** Social media, SEO tools, Automation - **Stats:** 43 total users, 2 monthly users, 100.0% runs succeeded, 2 bookmarks - **User rating**: 1.47 out of 5 stars ## Pricing from $0.01 / 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 SCRAPER **Scrape Instagram profiles in bulk — fast, accurate, and structured.** > Extract follower counts, bios, post counts, verification status, business categories, external links, and more from any public Instagram profile. --- ### 💡 USE CASES | Who | Why | |-----|-----| | **Marketers** | Research influencers and benchmark competitors at scale | | **Sales teams** | Build enriched prospect lists with real social proof data | | **Recruiters** | Identify and vet creators or brand ambassadors | | **Analysts & researchers** | Collect public profile data for studies and trend analysis | | **Developers** | Power apps and dashboards with live Instagram profile data | --- ### ✅ WHAT IT DOES - Scrapes **single or multiple** Instagram profiles in one run - Extracts **rich profile data**: followers, following, posts, bio, verification, business info, and links - Returns clean, structured **JSON output** ready for export or analysis --- ### 🚀 HOW TO RUN 1. Open the **Input** tab 2. Paste the Instagram **usernames** you want to scrape (with or without `@`) 3. Optionally set a **Max Results** limit 4. Click **Start** 5. View and export results from the **Dataset tab** --- ### ⚙️ INPUT PARAMETERS | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `usernames` | `array` | ✅ Yes | Instagram usernames to scrape. Accepts `@username` or `username`. | | `cookies` | `array` | ✅ Yes | One or more Instagram session cookie sets. See format below. | | `maxResults` | `number` | ❌ No | Max number of profiles to scrape. Defaults to all provided usernames. | --- #### SAMPLE INPUT ```json { "usernames": [ "cristiano", "natgeo", "nasa" ], "maxResults": 10000 } ```` *** ### 📦 SAMPLE OUTPUT Each scraped profile is stored as a structured record in the Apify dataset: ```json [ { "id": "173560420", "username": "cristiano", "fullName": "Cristiano Ronaldo", "biography": "✌️", "followersCount": 635000000, "followsCount": 568, "postsCount": 3847, "highlightReelCount": 12, "verified": true, "private": false, "isBusinessAccount": true, "businessCategoryName": "Athlete", "categoryName": "Athlete", "joinedRecently": false, "hasChannel": true, "externalUrl": "https://www.cristianoronaldo.com", "externalUrls": [ { "title": "Official Site", "url": "https://www.cristianoronaldo.com", "link_type": "external" } ], "profilePicUrl": "https://instagram.com/...", "profilePicUrlHD": "https://instagram.com/...", "url": "https://www.instagram.com/cristiano/", "inputUrl": "https://www.instagram.com/cristiano/" } ] ``` *** #### OUTPUT FIELD REFERENCE | Field | Type | Description | |-------|------|-------------| | `id` | string | Instagram user ID | | `username` | string | Instagram handle | | `fullName` | string | Display name on the profile | | `biography` | string | Profile bio text | | `followersCount` | number | Number of followers | | `followsCount` | number | Number of accounts followed | | `postsCount` | number | Total posts published | | `highlightReelCount` | number | Number of story highlights | | `verified` | boolean | Whether the account has a verified badge | | `private` | boolean | Whether the account is private | | `isBusinessAccount` | boolean | Whether it's a business or creator account | | `businessCategoryName` | string | Business category (e.g. "Athlete", "Brand") | | `categoryName` | string | Profile category label | | `joinedRecently` | boolean | Whether the account was created recently | | `hasChannel` | boolean | Whether the account has a broadcast channel | | `externalUrl` | string | Primary link in bio | | `externalUrls` | array | All bio links with titles and types | | `profilePicUrl` | string | Profile picture URL (standard) | | `profilePicUrlHD` | string | Profile picture URL (high resolution) | | `url` | string | Full Instagram profile URL | *** ### 💳 PRICING & LIMITS | Tier | Limit | |------|-------| | **Free trial** | Up to **10 profiles** | **Paid** | up to **30k profiles** *** ### 🛟 SUPPORT Have a question or running into an issue? - 📩 Email: \[boneswill697@gmail.com] - 🐛 Bugs: Open a ticket in the **Issues** tab on this Actor's page # Actor input Schema ## `usernames` (type: `array`): List of Instagram usernames to scrape. Do not include the '@' symbol. Click '+' to add more. ## `maxResults` (type: `integer`): Maximum number of profiles to scrape in this run. Defaults to all provided usernames. ## Actor input object example ```json { "usernames": [ "cristiano", "leomessi", "neymarjr", "kingjames", "therock", "nike", "adidas", "champagnepapi", "wahalaroom", "shenseea" ], "maxResults": 10000 } ``` # Actor output Schema ## `overview` (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": [ "cristiano", "leomessi", "neymarjr", "kingjames", "therock", "nike", "adidas", "champagnepapi", "wahalaroom", "shenseea" ] }; // Run the Actor and wait for it to finish const run = await client.actor("boneswill/instagram-profile-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 = { "usernames": [ "cristiano", "leomessi", "neymarjr", "kingjames", "therock", "nike", "adidas", "champagnepapi", "wahalaroom", "shenseea", ] } # Run the Actor and wait for it to finish run = client.actor("boneswill/instagram-profile-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 '{ "usernames": [ "cristiano", "leomessi", "neymarjr", "kingjames", "therock", "nike", "adidas", "champagnepapi", "wahalaroom", "shenseea" ] }' | apify call boneswill/instagram-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=boneswill/instagram-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Scraper 🔥🔥", "description": "Efficiently extract instagram profiles", "version": "0.1", "x-build-id": "yW8V4z5T1pDvBXFjE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/boneswill~instagram-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-boneswill-instagram-profile-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/boneswill~instagram-profile-scraper/runs": { "post": { "operationId": "runs-sync-boneswill-instagram-profile-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/boneswill~instagram-profile-scraper/run-sync": { "post": { "operationId": "run-sync-boneswill-instagram-profile-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": [ "usernames" ], "properties": { "usernames": { "title": "Instagram Usernames", "minItems": 10, "type": "array", "description": "List of Instagram usernames to scrape. Do not include the '@' symbol. Click '+' to add more.", "items": { "type": "string" } }, "maxResults": { "title": "Max Profiles to Scrape", "minimum": 10, "type": "integer", "description": "Maximum number of profiles to scrape in this run. Defaults to all provided usernames.", "default": 10000 } } }, "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 } } } } } } } } } } ```