# Instagram Followers / Following Scraper -No cookies (`aizen0/instagram-followers-following-scraper-no-cookies`) Actor Extract follower and following lists from public Instagram profiles in bulk. Add usernames, define your limit, receive clean structured records. Zero login, zero cookies, zero setup. - **URL**: https://apify.com/aizen0/instagram-followers-following-scraper-no-cookies.md - **Developed by:** [Aizen](https://apify.com/aizen0) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 1,000 profile scrapeds 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 (No Cookies) Pull followers or following lists from any public Instagram profile. Drop in usernames, choose what to scrape, set your limit — get clean structured data out. No login, no cookies, no session config on your side. --- ### ✔️ What It Does - Pulls follower or following lists from public Instagram profiles - Accepts multiple usernames in a single run - Auto-paginates until your result cap is hit - Smart session switching — if one session stalls, another takes over without breaking the run - Returns clean, structured records ready to export or pipe into automation - Zero credentials needed from your side --- ### 🎯 Built For - Growth analysts studying competitor audiences - Marketers assembling targeted Instagram lists - Agencies running influencer due diligence - Developers enriching profile datasets - Anyone who needs bulk follower/following data without clicking through pages manually --- ### 🔧 Input | Field | Type | Required | Description | |---|---|---|---| | `usernames` | string[] | Yes | Instagram handles without @. Example: `["robertdowneyjr", "johncena"]` | | `dataToScrape` | string | Yes | `"Followers"` or `"Followings"` | | `maxResultsPerUser` | integer | No | Result cap per username. Default 100. Use 0 for no limit. | #### Example Input ```json { "usernames": ["natgeo", "cristiano"], "dataToScrape": "Followers", "maxResultsPerUser": 200 } ```` *** ### 📤 Output One record per follower or following account. Export as JSON, CSV, Excel, or XML. | Field | Description | |---|---| | `sourceUsername` | The profile you scraped | | `type` | `follower` or `following` | | `userId` | Instagram numeric user ID | | `username` | Handle of the returned account | | `fullName` | Display name | | `isPrivate` | Whether the account is private | | `isVerified` | Blue checkmark status | | `profilePicUrl` | Profile photo URL | #### Example Output ```json [ { "sourceUsername": "natgeo", "type": "follower", "userId": "4014759590", "username": "realcolinfurze", "fullName": "Colin Furze", "isPrivate": false, "isVerified": true, "profilePicUrl": "https://..." } ] ``` *** ### 🗂️ Sample Workflows **Competitor audience research** ```json { "usernames": ["nike", "adidas"], "dataToScrape": "Followers", "maxResultsPerUser": 1000 } ``` **Following list export** ```json { "usernames": ["example_account"], "dataToScrape": "Followings", "maxResultsPerUser": 500 } ``` *** ### 🚀 Performance - Residential proxy coverage on every run — your IP stays out of it - GraphQL pagination with automatic v1 API fallback baked in - 50 results per page, moves quickly on most public profiles *** ### ⚠️ Limitations - Private accounts are skipped cleanly — no retries wasted - Results depend on Instagram's availability and pagination depth at the time of the run - Very large exports are better split across multiple runs for reliable results *** ### 💳 Pricing Charged per result delivered. The free tier gives you enough room to validate output before committing to scale. Paid runs are meant for production use and larger exports. *** ### 📎 Notes Run a small batch first to confirm output quality before launching large jobs. Stick to public profiles. Break up big account lists across runs when needed. If something looks off, open an issue and it'll get looked at quickly. # Actor input Schema ## `usernames` (type: `array`): One or more Instagram usernames to scrape (without the @ symbol). ## `dataToScrape` (type: `string`): Choose whether to scrape Followers or Followings. ## `maxResultsPerUser` (type: `integer`): Maximum number of users to fetch per account. Set to 0 to fetch all. ## Actor input object example ```json { "usernames": [ "robertdowneyjr" ], "dataToScrape": "Followers", "maxResultsPerUser": 200 } ``` # 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": [ "robertdowneyjr" ] }; // Run the Actor and wait for it to finish const run = await client.actor("aizen0/instagram-followers-following-scraper-no-cookies").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": ["robertdowneyjr"] } # Run the Actor and wait for it to finish run = client.actor("aizen0/instagram-followers-following-scraper-no-cookies").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": [ "robertdowneyjr" ] }' | apify call aizen0/instagram-followers-following-scraper-no-cookies --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=aizen0/instagram-followers-following-scraper-no-cookies", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Followers / Following Scraper -No cookies", "description": "Extract follower and following lists from public Instagram profiles in bulk. Add usernames, define your limit, receive clean structured records. Zero login, zero cookies, zero setup.", "version": "0.0", "x-build-id": "eHa8b9X1eNkk9GtAq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/aizen0~instagram-followers-following-scraper-no-cookies/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-aizen0-instagram-followers-following-scraper-no-cookies", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/aizen0~instagram-followers-following-scraper-no-cookies/runs": { "post": { "operationId": "runs-sync-aizen0-instagram-followers-following-scraper-no-cookies", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/aizen0~instagram-followers-following-scraper-no-cookies/run-sync": { "post": { "operationId": "run-sync-aizen0-instagram-followers-following-scraper-no-cookies", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Usernames", "type": "array", "description": "One or more Instagram usernames to scrape (without the @ symbol).", "items": { "type": "string" } }, "dataToScrape": { "title": "Data to Scrape", "enum": [ "Followers", "Followings" ], "type": "string", "description": "Choose whether to scrape Followers or Followings.", "default": "Followers" }, "maxResultsPerUser": { "title": "Max Results Per User", "minimum": 0, "type": "integer", "description": "Maximum number of users to fetch per account. Set to 0 to fetch all.", "default": 200 } } }, "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 } } } } } } } } } } ```