# Instagram Followers / Following Scraper (No cookiesπŸͺ) (`dead00/instagram-followers-following-scraper-no-cookies`) Actor Scrape followers or following lists from any public Instagram profile. Input usernames, set a limit, get clean structured data. No cookies, no login, no setup - **URL**: https://apify.com/dead00/instagram-followers-following-scraper-no-cookies.md - **Developed by:** [Dead](https://apify.com/dead00) (community) - **Categories:** Social media, Automation, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $0.20 / 1,000 instagram profiles 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 CookiesπŸͺ) Scrape followers or following lists from any public Instagram profile. Input usernames, pick the list type, set a limit β€” get structured data back. No login, no cookies, no session setup needed from your end. --- ### βœ… What It Does - Extracts followers or following lists from public Instagram profiles - Handles multiple usernames in one run - Paginates automatically until your results limit is reached - Silent session failover β€” if one session hits a limit, it switches without stopping the run - Outputs clean structured records ready for export or automation - No credentials required from the user --- ### 🎯 Who It Is For - Growth researchers analyzing competitor audiences - Marketers building targeted Instagram lists - Agencies doing influencer vetting - Developers enriching user datasets - Anyone needing bulk follower/following data without manual scraping --- ### πŸ”© Input | Field | Type | Required | Description | |---|---|---|---| | `usernames` | string[] | Yes | Instagram usernames without @. Example: `["natgeo", "cristiano"]` | | `dataToScrape` | string | Yes | `"Followers"` or `"Followings"` | | `maxResultsPerUser` | integer | No | Max records per username. Default 100. Set 0 for unlimited. | #### Example Input ```json { "usernames": ["natgeo", "cristiano"], "dataToScrape": "Followers", "maxResultsPerUser": 200 } ```` *** ### πŸ“‹ Output One record per follower or following account. Exportable as JSON, CSV, Excel, or XML. | Field | Description | |---|---| | `sourceUsername` | The account you scraped | | `type` | `follower` or `following` | | `userId` | Instagram numeric user ID | | `username` | Handle of the returned profile | | `fullName` | Display name | | `isPrivate` | Whether the account is private | | `isVerified` | Blue checkmark status | | `profilePicUrl` | Profile picture URL | #### Example Output ```json [ { "sourceUsername": "natgeo", "type": "follower", "userId": "4014759590", "username": "realcolinfurze", "fullName": "Colin Furze", "isPrivate": false, "isVerified": true, "profilePicUrl": "https://..." } ] ``` *** ### πŸ—‚οΈ Example 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 protection on every run β€” no direct IP exposure - GraphQL pagination with automatic v1 API fallback - 50 results per page, runs fast on most public accounts *** ### 🚧 Limitations - Private accounts are skipped gracefully β€” no wasted retries - Results depend on Instagram availability and pagination depth - Very large exports should be split across multiple runs for best results *** ### πŸ’° Pricing Pay per delivered result. Free tier is open enough to properly test before scaling. Paid runs are for production workloads and larger exports. *** ### πŸ“Œ Notes Start small to validate output before running large jobs. Use public profiles only. Split large account lists across runs if needed. If something is not working as expected, open an issue and it will be reviewed promptly. # 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": [ "cristiano" ], "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": [ "cristiano" ] }; // Run the Actor and wait for it to finish const run = await client.actor("dead00/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(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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": ["cristiano"] } # Run the Actor and wait for it to finish run = client.actor("dead00/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("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "usernames": [ "cristiano" ] }' | apify call dead00/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=dead00/instagram-followers-following-scraper-no-cookies", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Followers / Following Scraper (No cookiesπŸͺ)", "description": "Scrape followers or following lists from any public Instagram profile. Input usernames, set a limit, get clean structured data. No cookies, no login, no setup", "version": "0.0", "x-build-id": "y2LVgEVCi0ucK5Khs" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dead00~instagram-followers-following-scraper-no-cookies/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dead00-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dead00~instagram-followers-following-scraper-no-cookies/runs": { "post": { "operationId": "runs-sync-dead00-instagram-followers-following-scraper-no-cookies", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dead00~instagram-followers-following-scraper-no-cookies/run-sync": { "post": { "operationId": "run-sync-dead00-instagram-followers-following-scraper-no-cookies", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```