# Instagram Follower Count Checker (`receptional_blender/instagram-follower-counter`) Actor Check follower, following and post counts for any Instagram profile in seconds. Feed it one handle or a whole list and get back clean, structured JSON for each account. - **URL**: https://apify.com/receptional\_blender/instagram-follower-counter.md - **Developed by:** [Assia Fadli](https://apify.com/receptional_blender) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 85.7% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.01 / 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. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 Follower Count Checker **Instagram Follower Count Checker** turns any list of Instagram handles into a tidy count report. Give it one username or thousands and get back the follower, following and post counts for each account — plus a few basic profile details — as clean, structured JSON. Great for marketers, agencies, analysts and developers who need up-to-date Instagram counts without running or maintaining any scraping infrastructure. ### What you get For every handle you provide, the actor writes a single dataset record with these fields: | Field | Type | Description | |-------|------|-------------| | `username` | string | The handle that produced the record. | | `userId` | string \| null | Instagram's internal numeric user id. | | `fullName` | string \| null | The account's display name. | | `followers` | number \| null | Follower count. | | `followings` | number \| null | Following count. | | `posts` | number \| null | Total number of posts. | | `isPrivate` | boolean \| null | Whether the account is private. | | `isVerified` | boolean \| null | Whether the account is verified. | | `profilePicUrl` | string \| null | URL of the profile picture (HD when available). | If a handle can't be read (invalid, or temporarily blocked), the actor still writes a row with the same fields set to `null` plus an `error` message — so no requested handle is ever silently dropped. ### Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `usernames` | array of strings | ✅ | Instagram handles, with or without `@`, or full profile URLs. | | `sessionCookie` | string (secret) | — | Your Instagram `sessionid` cookie. Optional, but greatly improves success rates. | | `proxyCountry` | string | — | Two-letter residential-proxy country code (e.g. `US`, `GB`, `DE`). | The original `instagramUsernames`, `sessionId` and `proxyCountryCode` field names are still accepted as aliases, so existing integrations keep working unchanged. #### Example input ```json { "usernames": ["cristiano", "leomessi", "nasa"], "proxyCountry": "US" } ```` #### Example output ```json { "username": "nasa", "userId": "528817151", "fullName": "NASA", "followers": 95000000, "followings": 78, "posts": 4200, "isPrivate": false, "isVerified": true, "profilePicUrl": "https://.../nasa.jpg" } ``` ### How it works The actor calls Instagram's public `web_profile_info` endpoint directly over HTTP (no headless browser), sending the same application headers instagram.com's own web client uses. Requests are routed through Apify residential proxies for reliability, and each handle is fetched independently so one failure never affects the rest of the batch. ### Pricing This actor uses the **pay-per-event** model: you are charged once per successfully delivered count (event `count-scraped`). Handles that fail are written to the dataset for transparency but are **never** charged. ### Running 1. Provide your `usernames` list (and optionally a `sessionCookie` / `proxyCountry`). 2. Run the actor. 3. Collect results from the default dataset as JSON, CSV, Excel or via the API. ### Tech Written in **TypeScript** on the Apify SDK. HTTP-only, so builds are fast and runs are cheap. ### License MIT © Assia Fadli # Actor input Schema ## `usernames` (type: `array`): One or more Instagram handles (with or without @, or full profile URLs). For each one the actor returns follower, following and post counts plus basic profile details. ## `sessionCookie` (type: `string`): Value of your Instagram 'sessionid' cookie. Optional, but it greatly increases success rates and unlocks profiles that are otherwise blocked. ## `proxyCountry` (type: `string`): Two-letter country code for the residential proxy (e.g. US, GB, DE). Best matched to the country of the session/account you use. ## Actor input object example ```json { "usernames": [ "cristiano", "leomessi" ], "proxyCountry": "US" } ``` # 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": [ "instagram", "nasa" ] }; // Run the Actor and wait for it to finish const run = await client.actor("receptional_blender/instagram-follower-counter").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": [ "instagram", "nasa", ] } # Run the Actor and wait for it to finish run = client.actor("receptional_blender/instagram-follower-counter").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": [ "instagram", "nasa" ] }' | apify call receptional_blender/instagram-follower-counter --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=receptional_blender/instagram-follower-counter", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Follower Count Checker", "description": "Check follower, following and post counts for any Instagram profile in seconds. Feed it one handle or a whole list and get back clean, structured JSON for each account.", "version": "1.0", "x-build-id": "Bm2f2kKWUx5KAFzok" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/receptional_blender~instagram-follower-counter/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-receptional_blender-instagram-follower-counter", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/receptional_blender~instagram-follower-counter/runs": { "post": { "operationId": "runs-sync-receptional_blender-instagram-follower-counter", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/receptional_blender~instagram-follower-counter/run-sync": { "post": { "operationId": "run-sync-receptional_blender-instagram-follower-counter", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "Instagram usernames", "type": "array", "description": "One or more Instagram handles (with or without @, or full profile URLs). For each one the actor returns follower, following and post counts plus basic profile details.", "items": { "type": "string" } }, "sessionCookie": { "title": "Instagram session cookie (optional)", "type": "string", "description": "Value of your Instagram 'sessionid' cookie. Optional, but it greatly increases success rates and unlocks profiles that are otherwise blocked." }, "proxyCountry": { "title": "Proxy country (optional)", "type": "string", "description": "Two-letter country code for the residential proxy (e.g. US, GB, DE). Best matched to the country of the session/account you use." } } }, "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 } } } } } } } } } } ```