# Instagram Followers Following Scraper (`toolzerhub/instagram-followers-following-scraper`) Actor Scrape followers or following list for Instagram users with optional profile enrichment without login. - **URL**: https://apify.com/toolzerhub/instagram-followers-following-scraper.md - **Developed by:** [ToolzerHub](https://apify.com/toolzerhub) (community) - **Categories:** Social media, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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. 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 Followers & Following Scraper — Scrape Instagram Followers and Following Lists Scrape both the followers and following lists of any public Instagram account in one actor — no login, no cookies required. Extract usernames, profile pictures, verification status, and optionally full profile details for each user. Perfect for audience analysis, competitor research, influencer vetting, and building contact lists. ### What You Can Scrape - Username, full name, profile picture URL - Verified and private/public account status - Pagination cursor to resume large scrapes across runs - Full enriched profile (biography, follower count, bio links, and more) when `enrichProfile` is enabled ### Input — Followers ```json { "type": "followers", "username": ["cristiano"], "maxItem": 500, "enrichProfile": false, "resumeCursor": null } ```` ### Input — Following ```json { "type": "followings", "username": ["cristiano"], "maxItem": 500, "enrichProfile": false, "resumeCursor": null } ``` | Field | Type | Required | Description | |---|---|---|---| | `type` | string | ✅ | `followers` or `followings` | | `username` | string\[] | ✅ | Instagram usernames to scrape | | `maxItem` | number | ❌ | Max users per username (0 = unlimited, default 100) | | `enrichProfile` | boolean | ❌ | Fetch full profile for each user (slower, default false) | | `resumeCursor` | string | ❌ | Cursor from a previous run to resume pagination | ### Sample Output — Followers ```json { "total": 79667947, "has_more": true, "cursor": "QVFBekNZc0szaERZQ3ZrSjdMZ0h2ekIyQkxQaXh4SU9vb1FBRXpRaWdFZVdIVDVXSDdMakR3Ui11ZnhaazFWU1JadEZ5NWJ2ZldxRTh1eFNUN1lpZXdPQQ==", "users": [ { "id": "71366681909", "username": "y2_i_r", "full_name": "👍🏼", "profile_pic_url": "https://instagram.ftuc1-2.fna.fbcdn.net/example.jpg", "is_private": false, "is_verified": false } ] } ``` ### Sample Output — Following ```json { "total": 456, "has_more": true, "cursor": "QVFBekNZc0toaGRFQ3ZrSjdMZ0h2ekIyQkxQaXh4SU9vb1FB", "users": [ { "id": "71366681909", "username": "user_one", "full_name": "User One", "profile_pic_url": "https://instagram.ftuc1-2.fna.fbcdn.net/example1.jpg", "is_private": false, "is_verified": false } ] } ``` ### Sample Output — Enriched Profile (`enrichProfile: true`) When `enrichProfile` is enabled, each user is replaced with their full profile object (same structure as the Profile Scraper output): ```json { "user": { "id": "71366681909", "username": "y2_i_r", "full_name": "👍🏼", "biography": "💪ब्राह्मण💪\nJai shree radhekrishna 🦚", "bio_links": [], "external_url": null, "profile_pic_url": "https://scontent.cdninstagram.com/v/t51.82787-19/example_s150x150.jpg", "profile_pic_url_hd": "https://scontent.cdninstagram.com/v/t51.82787-19/example_s320x320.jpg", "edge_followed_by": { "count": 30 }, "edge_follow": { "count": 16 }, "is_private": false, "is_verified": false, "is_business_account": false, "is_professional_account": false, "is_joined_recently": true, "category_name": null, "highlight_reel_count": 0, "pronouns": [], "fbid": "17841443016305507" } } ``` ### Resuming a Previous Run For large accounts, pass the `cursor` from the last run as `resumeCursor` to continue where you left off. ### Limitations - Only public accounts can be scraped - `enrichProfile` sends one additional API request per user — use only when you need full profile data - When `enrichProfile` is enabled without a `maxItem`, it defaults to 100 to prevent runaway pagination ### Contact For issues, open a ticket under the Issues tab.\ For questions or custom requirements: If this actor saved you time, a review means a lot. Thanks! 🙌 # Actor input Schema ## `username` (type: `array`): Instagram usernames to scrape ## `enrichProfile` (type: `boolean`): Fetch full profile details for each user (slower, costs more) ## `maxItem` (type: `integer`): Maximum number of items to scrape (0 = unlimited) ## `resumeCursor` (type: `string`): Paste the cursor from a previous run to continue where you left off ## `verifiedOnly` (type: `boolean`): Only include verified (blue tick) accounts in results. ## `skipPrivate` (type: `boolean`): Exclude private accounts from results. ## `type` (type: `string`): Type of data to scrape ## Actor input object example ```json { "username": [ "instagram" ], "enrichProfile": false, "maxItem": 100, "verifiedOnly": false, "skipPrivate": false, "type": "followers" } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset containing all scraped data # 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 = { "username": [ "instagram" ] }; // Run the Actor and wait for it to finish const run = await client.actor("toolzerhub/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 = { "username": ["instagram"] } # Run the Actor and wait for it to finish run = client.actor("toolzerhub/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 '{ "username": [ "instagram" ] }' | apify call toolzerhub/instagram-followers-following-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=toolzerhub/instagram-followers-following-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Followers Following Scraper", "description": "Scrape followers or following list for Instagram users with optional profile enrichment without login.", "version": "2.0", "x-build-id": "ZJBnXdiQ2iNCr3sJj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/toolzerhub~instagram-followers-following-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-toolzerhub-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/toolzerhub~instagram-followers-following-scraper/runs": { "post": { "operationId": "runs-sync-toolzerhub-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/toolzerhub~instagram-followers-following-scraper/run-sync": { "post": { "operationId": "run-sync-toolzerhub-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": [ "username", "type" ], "properties": { "username": { "title": "Username(s)", "type": "array", "description": "Instagram usernames to scrape", "items": { "type": "string" } }, "enrichProfile": { "title": "Enrich Profiles", "type": "boolean", "description": "Fetch full profile details for each user (slower, costs more)", "default": false }, "maxItem": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of items to scrape (0 = unlimited)", "default": 100 }, "resumeCursor": { "title": "Resume Cursor", "type": "string", "description": "Paste the cursor from a previous run to continue where you left off" }, "verifiedOnly": { "title": "Verified Accounts Only", "type": "boolean", "description": "Only include verified (blue tick) accounts in results.", "default": false }, "skipPrivate": { "title": "Skip Private Accounts", "type": "boolean", "description": "Exclude private accounts from results.", "default": false }, "type": { "title": "Scraper Type", "enum": [ "followers", "followings" ], "type": "string", "description": "Type of data to scrape", "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 } } } } } } } } } } ```