# Instagram Following Scraper (No Login Required) (`iron-crawler/instagram-following`) Actor Bulk extract Instagram follower lists at lightning speed. Zero-config API pipeline exports rich audience data in JSON/CSV for precision marketing intelligence - **URL**: https://apify.com/iron-crawler/instagram-following.md - **Developed by:** [Iron Crawler](https://apify.com/iron-crawler) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 35 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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. 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 Following Scraper (No Login Required) ### What does Instagram Following Scraper (No Login Required) do? This tool extracts comprehensive data from Instagram following lists without requiring any login credentials or cookies. Built on a cookieless architecture, it allows you to gather valuable audience intelligence from any public Instagram profile instantly. Whether you're analyzing competitor networks, building prospect lists, or researching influencer connections, this scraper operates seamlessly without authentication barriers. **Key Features:** - Extract following lists from any public Instagram profile - No login or authentication required - Export data in JSON, CSV, or Excel formats - Retrieve user IDs, usernames, full names, and verification status - Access profile picture URLs and follower counts - Filter private vs. public accounts - Identify mutual follower connections - Fast, reliable data extraction at scale ### Why scrape Instagram following lists? Social media strategists want to extract Instagram following lists to build comprehensive audience insights and develop targeted marketing campaigns. Understanding who your competitors, influencers, or target accounts follow reveals valuable patterns about audience interests, industry connections, and potential collaboration opportunities. This data transforms raw follower information into actionable intelligence for growth strategies. **Primary Use Cases:** - **Lead Generation:** Identify potential customers by analyzing who follows industry leaders, competitors, or complementary brands in your niche - **Influencer Marketing:** Research influencer networks to find authentic partnerships, verify audience quality, and discover micro-influencers with engaged communities - **Competitive Intelligence:** Map competitor relationships, track their network growth patterns, and identify key accounts they engage with for strategic positioning ### How to scrape Instagram following lists using this tool? **Step 1:** Locate the Instagram profile you want to analyze. Copy either the profile URL (https://instagram.com/username), the username directly, or the numeric user ID. **Step 2:** Configure your input parameters in the scraper. Enter the username (e.g., ""cristiano"") in the designated field. Note that **1 page ≈ 50 items**, so plan your extraction volume accordingly based on the target account's following count. **Step 3:** Run the scraper and wait for the extraction to complete. Once finished, download your data in your preferred format (JSON, CSV, or Excel) for analysis, CRM import, or further processing. ### What are the input parameters? | Field | Type | Description | |-------|------|-------------| | username | String | The Instagram username without the @ symbol (e.g., ""cristiano""). You can also use the full profile URL or numeric user ID. | ### What data can you extract? You can download the following data in JSON, CSV, or Excel formats: ```json { ""user_id"": ""987654321"", ""username"": ""travel_wanderer"", ""full_name"": ""Alex Thompson"", ""is_private"": false, ""is_verified"": false, ""following_count"": 342, ""mutual_followers"": 15, ""profile_pic_url"": ""https://instagram.fcdg2-1.fna.fbcdn.net/v/t51.2885-19/123456789_123456789.jpg"" } ```` **Extracted Fields:** - `user_id`: Unique numeric identifier for the Instagram account - `username`: The account's handle/username - `full_name`: Display name shown on the profile - `is_private`: Boolean indicating if the account is private - `is_verified`: Boolean showing verification badge status - `following_count`: Total number of accounts this user follows - `mutual_followers`: Number of followers you have in common - `profile_pic_url`: Direct link to the profile picture image *** This Instagram scraper provides powerful instagram follower extraction capabilities for professionals who need to export instagram followers data efficiently. Whether you're conducting instagram data extraction for lead generation instagram campaigns or performing instagram followers export for market analysis, this tool delivers reliable instagram followers data without authentication complexity." # Actor input Schema ## `username` (type: `string`): Instagram username, user ID, or profile URL ## `maxItems` (type: `integer`): Maximum number of items to fetch per page ## `maxPages` (type: `integer`): Maximum number of pages to fetch (pagination handled automatically) ## Actor input object example ```json { "username": "cristiano", "maxPages": 1 } ``` # 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("iron-crawler/instagram-following").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 = {} # Run the Actor and wait for it to finish run = client.actor("iron-crawler/instagram-following").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 '{}' | apify call iron-crawler/instagram-following --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=iron-crawler/instagram-following", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Following Scraper (No Login Required)", "description": "Bulk extract Instagram follower lists at lightning speed. Zero-config API pipeline exports rich audience data in JSON/CSV for precision marketing intelligence", "version": "1.0", "x-build-id": "q4TavET6yxDxVHh8S" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/iron-crawler~instagram-following/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-iron-crawler-instagram-following", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/iron-crawler~instagram-following/runs": { "post": { "operationId": "runs-sync-iron-crawler-instagram-following", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/iron-crawler~instagram-following/run-sync": { "post": { "operationId": "run-sync-iron-crawler-instagram-following", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "username": { "title": "Username", "type": "string", "description": "Instagram username, user ID, or profile URL", "default": "cristiano" }, "maxItems": { "title": "Maximum Items", "type": "integer", "description": "Maximum number of items to fetch per page" }, "maxPages": { "title": "Maximum Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to fetch (pagination handled automatically)", "default": 1 } } }, "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 } } } } } } } } } } ```