# Instagram Profile Scraper PPE (`easy_scraper/instagram-profile-scraper-ppe`) Actor Extract rich Instagram profile data at scale from URLs or usernames β€” including followers, engagement, business details, and contact info.\nBuilt for lead generation, competitor analysis, and data pipelines with clean, ready-to-use output." - **URL**: https://apify.com/easy\_scraper/instagram-profile-scraper-ppe.md - **Developed by:** [easy scraper](https://apify.com/easy_scraper) (community) - **Categories:** Social media, Automation, Lead generation - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 1,000 profile addeds 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.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“Έ Instagram Profile Scraper πŸš€ Collect Instagram public profile data β€” quickly, safely, and at scale! Extract rich, structured data from Instagram profiles using just usernames or URLs. Perfect for lead generation, competitor research, and automation workflows. --- ### ✨ What can Instagram Profile Scraper do? - Scrape detailed public Instagram profile data at scale - Convert usernames or profile URLs into structured datasets - Extract followers, engagement metrics, and business information - Retrieve latest posts, IGTV videos, and related profiles - Collect emails (when publicly available in bio) - Enable automation-ready outputs for analytics and integrations --- ### πŸ“Š What data can I scrape from Instagram profiles? This actor extracts a wide range of public data, including: - Profile info: username, full name, bio, profile picture - Metrics: followers, following, posts count - Account details: verified status, business category, private/public - External links: websites and contact URLs - Related profiles (network insights) - Latest posts (captions, likes, comments, media) - IGTV videos (views, duration, engagement) - Email (if publicly available in biography) --- ### πŸ“¦ Output sample > ⚠️ Note: The output may include nested arrays like `latestPosts`, `latestIgtvVideos`, and `relatedProfiles`. > For lighter datasets, you can omit these fields during export. ```json [ { "inputUrl": "https://www.instagram.com/therock", "id": "232192182", "username": "therock", "fullName": "Dwayne Johnson", "followersCount": 390526485, "followsCount": 318, "postsCount": 8316, "verified": true, "externalUrl": "http://therock.komi.io/", "email": null, "latestPosts": [ { "id": "3859273064823712869", "type": "Video", "caption": "The ocean chose her for a reason 🌊", "likesCount": 1134319, "commentsCount": 9055, "url": "https://www.instagram.com/p/DWO5Ge4DOxl/" } ] } ] ### βš™οΈ Inputs | Field | Type | Description | |------|------|------------| | `profiles` | Array | Instagram usernames or URLs | | `maxProfiles` | Integer | Max number of profiles to scrape | | `collectEmails` | Boolean | Only return profiles with emails | | `minFollowers` | Integer | Filter by minimum followers | --- ### πŸ’° Pricing - Pay per results (profile-level output) - Scales efficiently for bulk scraping - Cost depends on number of profiles processed πŸ’‘ **Tip:** Use filters like `minFollowers` or `collectEmails` to reduce costs and improve data quality. --- ### πŸš€ Features - Works without login or cookies βœ… - Gathers public Instagram profile details - Returns structured data (bio, followers, posts, links, etc.) - Supports multiple usernames in a single run - Optimized for scale β€” ideal for research, automation, and analytics --- ### ⚠️ Notes & Limitations - Only works with public profiles (private accounts are not accessible) - Nonexistent or removed profiles are skipped automatically - Engagement metrics reflect publicly available data and may not be real-time --- ### 🎯 Use Cases #### Influencer Marketing & Creator Discovery - Find micro-influencers with strong engagement - Discover creators actively posting Reels - Extract contact info for outreach and partnerships - Analyze competitor collaborations #### Lead Generation & B2B Sales - Identify potential customers from Instagram profiles - Filter by business accounts and engagement - Build targeted outreach lists - Discover decision-makers in specific industries #### Competitor Intelligence & Market Research - Analyze competitor audiences and positioning - Compare multiple accounts at scale - Identify overlapping audiences (warm leads) - Track content strategies and engagement patterns #### Social Media Strategy - Discover trending content ideas - Build lookalike audiences - Analyze successful accounts in your niche - Optimize posting strategies --- ### ❓ FAQ #### What's the expected size of the dataset? Datasets can grow large due to nested fields like `latestPosts` and `relatedProfiles`. You can exclude these fields during export to reduce size. --- #### Can I get Instagram details by username? Yes β€” simply provide a username and the scraper will fetch all available public data. --- #### Can I get Instagram details by URL or ID? Yes β€” URLs and IDs work the same way as usernames and return identical data. --- #### Is it legal to scrape Instagram profiles? This scraper only collects publicly available data. However, you are responsible for complying with applicable data protection laws (e.g. GDPR). --- #### Can I integrate this with other tools? Yes β€” easily connect with: - Zapier - Make - n8n - Google Sheets & Drive - Slack - Airbyte - APIs and more You can also use webhooks for automation workflows. --- #### Can I use this with the Apify API? Yes β€” run, schedule, and fetch results programmatically using the Apify API. --- #### Instagram Profile Scraper not working? If you encounter issues, report them via the **Issues tab**. Improvements are ongoing. --- ### ⚠️ Disclaimer This tool is intended for responsible use only. It collects publicly available data without requiring login. The developer is not responsible for misuse or violation of Instagram’s terms. --- ### πŸš€ Start scraping now Turn Instagram profiles into actionable data for growth, research, and automation. # Actor input Schema ## `profiles` (type: `array`): Instagram profile URLs or usernames (e.g. https://www.instagram.com/username/, username, @username). ## `collectEmails` (type: `boolean`): When true, save only profiles where an email is found in the public biography. ## `minFollowers` (type: `integer`): Skip profiles with fewer than this follower count. ## Actor input object example ```json { "profiles": [ "https://www.instagram.com/cristiano", "@leomessi", "kyliejenner", "https://instagram.com/therock", "@arianagrande", "kimkardashian", "https://www.instagram.com/selenagomez", "@natgeo", "nike", "https://instagram.com/realmadrid" ], "collectEmails": false, "minFollowers": 0 } ```` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("easy_scraper/instagram-profile-scraper-ppe").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 = {} # Run the Actor and wait for it to finish run = client.actor("easy_scraper/instagram-profile-scraper-ppe").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 '{}' | apify call easy_scraper/instagram-profile-scraper-ppe --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=easy_scraper/instagram-profile-scraper-ppe", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Scraper PPE", "description": "Extract rich Instagram profile data at scale from URLs or usernames β€” including followers, engagement, business details, and contact info.\\nBuilt for lead generation, competitor analysis, and data pipelines with clean, ready-to-use output.\"", "version": "1.0", "x-build-id": "TAI32mJFoxRLRIVbe" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/easy_scraper~instagram-profile-scraper-ppe/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-easy_scraper-instagram-profile-scraper-ppe", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/easy_scraper~instagram-profile-scraper-ppe/runs": { "post": { "operationId": "runs-sync-easy_scraper-instagram-profile-scraper-ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/easy_scraper~instagram-profile-scraper-ppe/run-sync": { "post": { "operationId": "run-sync-easy_scraper-instagram-profile-scraper-ppe", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "profiles" ], "properties": { "profiles": { "title": "Profiles", "type": "array", "description": "Instagram profile URLs or usernames (e.g. https://www.instagram.com/username/, username, @username).", "items": { "type": "string" }, "default": [ "https://www.instagram.com/cristiano", "@leomessi", "kyliejenner", "https://instagram.com/therock", "@arianagrande", "kimkardashian", "https://www.instagram.com/selenagomez", "@natgeo", "nike", "https://instagram.com/realmadrid" ] }, "collectEmails": { "title": "Collect emails", "type": "boolean", "description": "When true, save only profiles where an email is found in the public biography.", "default": false }, "minFollowers": { "title": "Min followers", "minimum": 0, "type": "integer", "description": "Skip profiles with fewer than this follower count.", "default": 0 } } }, "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 } } } } } } } } } } ```