# Bulk Instagram Following (`devil_port369-owner/bulk-instagram-following-scraper`) Actor The fastest and most reliable Instagram Following Scraper on Apify. Extract complete "Following" lists in bulk from multiple Instagram accounts without cookies, blocks, or rate limits. - **URL**: https://apify.com/devil\_port369-owner/bulk-instagram-following-scraper.md - **Developed by:** [DataFusionX](https://apify.com/devil_port369-owner) (community) - **Categories:** Lead generation, Social media, SEO tools - **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.40 / 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: High-Speed Bulk Data Extractor The **Fastest Instagram Following Scraper** on Apify. This high-performance crawler allows you to extract full "Following" lists from any public Instagram profile at scale. Designed for speed and reliability, it bypasses common scraping hurdles like rate limits and login requirements. #### 🌟 Key Benefits * **High-Velocity Scraping:** Engineered for maximum throughput and low latency. * **True Bulk Support:** Process multiple Instagram handles or URLs simultaneously. * **Zero-Config Extraction:** No cookies, session IDs, or Instagram logins required. * **Anti-Detection Logic:** Sophisticated fingerprinting to prevent IP blocks and rate limiting. * **Scalable Output:** Optimized for both small sets and million-row datasets. --- ### 🛠 Features & Capabilities * **Unlimited Scraping:** Set `max_records` to `0` to crawl the entire following list of any account. * **No-Code Friendly:** Easy-to-use interface for marketers, with a powerful API for developers. * **Comprehensive Data Points:** Extracts User ID (PK), Username, Full Name, Verified Status, Privacy Settings, and Profile Pictures. * **Resilient Architecture:** Automatically handles retries and rotates proxies to ensure 99.9% uptime. * **Cost-Efficient:** Optimized resource consumption to keep your Apify compute units low. --- ### 📖 How to Scrape Instagram Following Lists Using this Actor is straightforward. Whether you are using the Apify Console or the API, follow these steps: 1. **Input Usernames:** Provide a list of Instagram profile URLs or usernames. 2. **Set Limits:** Define how many followers to scrape per profile (or leave at 0 for all). 3. **Run & Export:** Execute the scraper and download data in JSON, CSV, Excel, or XML. #### Input Parameters | Field | Type | Description | Default | | :--- | :--- | :--- | :--- | | **`usernames`** | Array | List of IG profile URLs or usernames to target. | **Required** | | **`max_records`** | Integer | Maximum results per profile (Set `0` for unlimited). | `25` | #### Sample Input (JSON) ```json { "usernames": [ "https://www.instagram.com/cristiano/", "natgeo" ], "max_records": 100 } ```` *** ### 📊 Data Output Preview The scraper returns clean, structured data ready for CRM integration or lead enrichment. ```json [ { "pk": "123456789", "username": "digital_nomad", "full_name": "John Doe", "profile_pic_url": "https://scontent.cdninstagram.com/...", "is_private": false, "is_verified": true, "status": "Following", "scraped_from": "cristiano" } ] ``` *** ### 🎯 Use Cases for Instagram Data - **Market Research:** Analyze the following patterns of industry leaders. - **Lead Generation:** Build high-intent outreach lists based on influencer connections. - **Competitor Intelligence:** Track who your competitors are following to uncover partnerships. - **Audience Segmentation:** Filter lists by verified status or privacy settings for targeted ads. *** ### 💡 Why Choose This Scraper? Most Instagram scrapers struggle with **429 Rate Limit** errors or require burner accounts (cookies). This Actor uses an **authenticated-free approach**, meaning your personal account is never at risk. It is the ideal solution for developers needing a stable **Instagram Following API** without the overhead of maintaining a private scraper. *** #### 🏷 Keywords `Instagram Scraper` `Extract Instagram Following` `Instagram API` `Instagram Lead Generation` `Social Media Data Extraction` `No-Login Instagram Scraper` `Apify Actor` `Growth Hacking Tools` *** # Actor input Schema ## `usernames` (type: `array`): Enter Instagram profile links ## `max_records` (type: `integer`): Maximum number of records to fetch for the target user. Set to 0 for unlimited. ## Actor input object example ```json { "usernames": [ "https://www.instagram.com/instagram/" ], "max_records": 25 } ``` # Actor output Schema ## `results` (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 = { "usernames": [ "https://www.instagram.com/instagram/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("devil_port369-owner/bulk-instagram-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": ["https://www.instagram.com/instagram/"] } # Run the Actor and wait for it to finish run = client.actor("devil_port369-owner/bulk-instagram-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": [ "https://www.instagram.com/instagram/" ] }' | apify call devil_port369-owner/bulk-instagram-following-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=devil_port369-owner/bulk-instagram-following-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Bulk Instagram Following", "description": "The fastest and most reliable Instagram Following Scraper on Apify. Extract complete \"Following\" lists in bulk from multiple Instagram accounts without cookies, blocks, or rate limits.", "version": "0.0", "x-build-id": "llgJFFxl0j2PAs20Y" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/devil_port369-owner~bulk-instagram-following-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-devil_port369-owner-bulk-instagram-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/devil_port369-owner~bulk-instagram-following-scraper/runs": { "post": { "operationId": "runs-sync-devil_port369-owner-bulk-instagram-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/devil_port369-owner~bulk-instagram-following-scraper/run-sync": { "post": { "operationId": "run-sync-devil_port369-owner-bulk-instagram-following-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "max_records" ], "properties": { "usernames": { "title": "Targeted URLs or Usernames", "type": "array", "description": "Enter Instagram profile links", "items": { "type": "string" } }, "max_records": { "title": "Max followings to fetch (0 = unlimited)", "minimum": 0, "type": "integer", "description": "Maximum number of records to fetch for the target user. Set to 0 for unlimited.", "default": 25 } } }, "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 } } } } } } } } } } ```