# Instagram Followers & Following Scraper (`scrapesmith/instagram-followers-following-scraper`) Actor Extract follower and following lists from any public Instagram profile. Get usernames, verification status, profile pictures and more for every follower. Supports bulk profiles and exports to JSON, CSV or Excel. - **URL**: https://apify.com/scrapesmith/instagram-followers-following-scraper.md - **Developed by:** [Scrape Smith](https://apify.com/scrapesmith) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 4 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.50 / 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. 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 Followers & Following Scraper Extract complete follower and following lists from any public Instagram profile. Get usernames, display names, verification badges, profile pictures, privacy status, and more for every follower or following. Scrape thousands of Instagram followers in minutes — built for marketers, researchers, influencer agencies, and growth teams who need clean, structured audience data at scale. ### Features - **Followers or Following** — scrape either list from any public Instagram account in one click - **Bulk profiles** — analyze multiple Instagram accounts in a single run, no need to start separate jobs - **13 data points per follower** — more fields than any comparable Instagram followers scraper on the market - **Up to 500,000 followers** — handles accounts of any size, from micro-influencers to celebrity profiles - **Private account detection** — automatically identifies and skips private profiles with a clear log message, so you never waste time on inaccessible data - **Smart session management** — built-in rotation and failure recovery for uninterrupted large scrapes - **Resume on interruption** — picks up exactly where it left off if the run migrates or restarts - **Export anywhere** — download results as JSON, CSV, or Excel, or integrate directly via API and webhooks ### Input ```json { "usernames": ["mrbeast", "nasa", "nike"], "maxFollowers": 1000, "mode": "followers" } ```` | Field | Type | Default | Description | |-------|------|---------|-------------| | `usernames` | array | *Required* | One or more public Instagram usernames to scrape | | `maxFollowers` | integer | 500 | Maximum followers or following to collect per profile (up to 500,000) | | `mode` | select | followers | Choose `followers` or `following` | ### Output Each result includes 13 structured fields: ```json { "id": "58812734417", "username": "kiyak_iyu", "fullName": "kiyakiyu", "profilePicUrl": "https://instagram.com/...", "isPrivate": false, "isVerified": false, "hasAnonymousProfilePicture": false, "latestReelMedia": 1751234567, "accountBadges": [], "sourceUsername": "mrbeast", "type": "follower", "position": 1, "scrapedAt": "2026-07-05T10:00:00.000000+00:00" } ``` #### Output Fields | Field | Description | |-------|-------------| | `id` | Unique Instagram user ID | | `username` | Instagram handle | | `fullName` | Display name | | `profilePicUrl` | Profile picture URL | | `isPrivate` | Whether the follower's account is private | | `isVerified` | Whether the follower has a verified badge | | `hasAnonymousProfilePicture` | Whether the account uses a default avatar | | `latestReelMedia` | Timestamp of the account's most recent reel activity | | `accountBadges` | Any special account badges | | `sourceUsername` | Which profile this follower belongs to | | `type` | `follower` or `following` | | `position` | Position in the list (1-based) | | `scrapedAt` | Timestamp of extraction | ### Important Notes - **Only public profiles can be scraped.** Private Instagram accounts do not expose their follower or following lists. The scraper automatically detects private profiles and skips them with a clear log message — you are never charged for private accounts. - **Account must exist.** If a username is misspelled or the account has been deleted, the scraper will log a warning and move on to the next profile. - **Large accounts take longer.** A profile with 100,000 followers will take proportionally longer than one with 1,000. Use the `maxFollowers` parameter to control how deep you go. ### Pricing - **Free tier:** 25 results per run — no credit card required - **Paid plans:** from **$0.40 per 1,000 results** — up to 50% less than comparable Instagram follower scrapers Pay only for results delivered. No subscriptions, no platform fees. ### Use Cases - **Audience research** — understand who follows your competitors, clients, or industry leaders on Instagram - **Influencer vetting** — check follower quality, verification rates, and audience composition before partnerships - **Lead generation** — build targeted outreach lists from niche Instagram communities - **Growth tracking** — monitor follower and following changes over time by running scheduled scrapes - **Market analysis** — map audience overlap between competing brands on Instagram - **Academic research** — study social network structures, influence patterns, and community dynamics - **Recruitment** — identify potential candidates following specific industry accounts ### Getting Started 1. Enter the usernames of the public Instagram profiles you want to analyze 2. Choose **Followers** or **Following** 3. Set your desired result limit per profile 4. Run the Actor and export your data in JSON, CSV, or Excel No login, no API key, no browser extension required — just add usernames and go. ### Support For issues or feature requests, open an issue on the Actor page or contact: shamrozakram99@gmail.com # Actor input Schema ## `usernames` (type: `array`): One or more public Instagram usernames to scrape followers/following from. ## `maxFollowers` (type: `integer`): Maximum number of followers or following to collect per profile. ## `mode` (type: `string`): Whether to scrape the follower list or the following list. ## Actor input object example ```json { "usernames": [ "zuck" ], "maxFollowers": 10, "mode": "followers" } ``` # 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": [ "zuck" ], "mode": "followers" }; // Run the Actor and wait for it to finish const run = await client.actor("scrapesmith/instagram-followers-following-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": ["zuck"], "mode": "followers", } # Run the Actor and wait for it to finish run = client.actor("scrapesmith/instagram-followers-following-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": [ "zuck" ], "mode": "followers" }' | apify call scrapesmith/instagram-followers-following-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapesmith/instagram-followers-following-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Followers & Following Scraper", "description": "Extract follower and following lists from any public Instagram profile. Get usernames, verification status, profile pictures and more for every follower. Supports bulk profiles and exports to JSON, CSV or Excel.", "version": "0.0", "x-build-id": "w3dm02fsiBUifGA2M" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapesmith~instagram-followers-following-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapesmith-instagram-followers-following-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/scrapesmith~instagram-followers-following-scraper/runs": { "post": { "operationId": "runs-sync-scrapesmith-instagram-followers-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/scrapesmith~instagram-followers-following-scraper/run-sync": { "post": { "operationId": "run-sync-scrapesmith-instagram-followers-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "type": "array", "description": "One or more public Instagram usernames to scrape followers/following from.", "items": { "type": "string" } }, "maxFollowers": { "title": "Max results per profile", "minimum": 1, "maximum": 500000, "type": "integer", "description": "Maximum number of followers or following to collect per profile.", "default": 10 }, "mode": { "title": "Mode", "enum": [ "followers", "following" ], "type": "string", "description": "Whether to scrape the follower list or the following list.", "default": "followers" } } }, "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 } } } } } } } } } } ```