# Instagram Profile Scraper - Followers, Bio & Business Info (`santhej/instagram-profile-scraper`) Actor Scrape Instagram profiles in bulk: followers, following, posts, bio, verified & business status, category, external link, and public business email/phone. Paste usernames or URLs. Clean JSON/CSV for influencer & lead research. No login. - **URL**: https://apify.com/santhej/instagram-profile-scraper.md - **Developed by:** [Santhej Kallada](https://apify.com/santhej) (community) - **Categories:** Social media, Lead generation, MCP servers - **Stats:** 3 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing Pay per event 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 ## Instagram Profile Scraper โ€” Followers, Bio & Business Info **Scrape public Instagram profiles in bulk: followers, following, post count, bio, verified & business status, category, external link, and public business email/phone. Just paste usernames โ€” no login, no cookies.** Built for influencer discovery, social analytics, and lead generation. Clean, structured output ready for spreadsheets, dashboards, and AI agents. --- ### What you get per profile - ๐Ÿ‘ฅ **Followers & following** - ๐Ÿ–ผ๏ธ **Post count** - โœ… **Verified & business status** - ๐Ÿท๏ธ **Category** (for business accounts) - ๐Ÿ”— **External link / website** - ๐Ÿ“ง **Public business email & phone** (when the account lists them) - ๐Ÿ“ **Bio** - ๐Ÿ–ผ๏ธ **Profile picture** (standard + HD) - ๐Ÿ“ˆ **Recent posts** (up to 12) with likes, comments, captions, thumbnails, video views - ๐Ÿ”ฅ **Engagement rate** โ€” avg (likes + comments) per post รท followers - โญ **Highlight reel count** and **related profiles** (when present) The recent-posts list and engagement rate are parsed from the same API response โ€” no extra requests. ### Perfect for - **Influencer marketing** โ€” vet creators by reach before partnering. - **Lead generation** โ€” capture business emails/links from brand accounts. - **Social analytics** โ€” track follower counts across many profiles. - **Competitor research** โ€” benchmark accounts in your niche. - **AI agents** โ€” feed structured profile data into automated workflows and MCP tools. ### How to use it 1. Paste **usernames or profile URLs** (one per line). 2. Run it โ€” export JSON/CSV or pull via the API. #### Example input ```json { "profiles": ["nike", "https://www.instagram.com/natgeo/"], "includeRecentPosts": true } ```` #### Example output (one row per profile) ```json { "username": "nike", "full_name": "Nike", "verified": true, "followers": 291953142, "following": 264, "posts": 1635, "is_business": true, "external_url": "http://empli.fi/nike", "business_email": null, "profile_pic_url_hd": "https://...", "engagement_rate": 0.18, "recent_posts": [ { "shortcode": "C...", "caption": "...", "like_count": 520000, "comment_count": 1800, "is_video": false, "thumbnail_url": "https://...", "post_url": "https://www.instagram.com/p/C.../" } ] } ``` Set `includeRecentPosts` to `false` to skip the post list and engagement rate. ### Pricing Pay per profile successfully scraped โ€” no monthly fee, no minimum. A small extra event applies per profile when the recent-posts list and engagement rate are returned. ### FAQ **Do I need an Instagram login?** No โ€” public profile data only, no auth required. **Can I get business emails?** Yes, when the account publicly lists a business email/phone. **Can I scrape many at once?** Yes โ€” up to 500 profiles per run. **Good for AI agents?** Yes โ€” clean JSON, ideal for MCP servers, n8n, Make, and LLM agents. *** *Tags: instagram scraper, instagram profile scraper, instagram followers, influencer marketing, social media scraper, instagram analytics, instagram leads, instagram api.* # Actor input Schema ## `profiles` (type: `array`): Usernames or profile URLs, e.g. โ€˜nikeโ€™ or โ€˜https://www.instagram.com/nike/โ€™. One per line. Up to 500 per run. ## `includeRecentPosts` (type: `boolean`): Also return the profile's most recent posts (up to 12) with like/comment counts, captions and thumbnails, and compute an engagement rate. No extra request โ€” parsed from the same response. ## Actor input object example ```json { "profiles": [ "nike", "https://www.instagram.com/natgeo/" ], "includeRecentPosts": true } ``` # Actor output Schema ## `dataset` (type: `string`): Scraped Instagram profile data. ## `summary` (type: `string`): Requested vs scraped counts. # 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 = { "profiles": [ "nike", "https://www.instagram.com/natgeo/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("santhej/instagram-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "profiles": [ "nike", "https://www.instagram.com/natgeo/", ] } # Run the Actor and wait for it to finish run = client.actor("santhej/instagram-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "profiles": [ "nike", "https://www.instagram.com/natgeo/" ] }' | apify call santhej/instagram-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=santhej/instagram-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Scraper - Followers, Bio & Business Info", "description": "Scrape Instagram profiles in bulk: followers, following, posts, bio, verified & business status, category, external link, and public business email/phone. Paste usernames or URLs. Clean JSON/CSV for influencer & lead research. No login.", "version": "0.0", "x-build-id": "eq9H9XAPsZLmZzWmV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/santhej~instagram-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-santhej-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/santhej~instagram-profile-scraper/runs": { "post": { "operationId": "runs-sync-santhej-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/santhej~instagram-profile-scraper/run-sync": { "post": { "operationId": "run-sync-santhej-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", "properties": { "profiles": { "title": "Instagram profiles", "minItems": 1, "maxItems": 500, "type": "array", "description": "Usernames or profile URLs, e.g. โ€˜nikeโ€™ or โ€˜https://www.instagram.com/nike/โ€™. One per line. Up to 500 per run.", "items": { "type": "string" } }, "includeRecentPosts": { "title": "Include recent posts + engagement rate", "type": "boolean", "description": "Also return the profile's most recent posts (up to 12) with like/comment counts, captions and thumbnails, and compute an engagement rate. No extra request โ€” parsed from the same response.", "default": 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 } } } } } } } } } } ```