# Instagram Profile Insights (`receptional_blender/instagram-profile-insights`) Actor Fetch complete public Instagram profiles as structured JSON — bio, external links, follower/following/post counts, verification status, category and profile pictures — for any list of usernames. - **URL**: https://apify.com/receptional\_blender/instagram-profile-insights.md - **Developed by:** [Assia Fadli](https://apify.com/receptional_blender) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 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/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 Profile Insights **Instagram Profile Insights** turns any list of Instagram handles into clean, structured profile data. Point it at one username or thousands and get back the complete public profile — bio, external links, follower / following / post counts, verification status, category and profile pictures — ready to drop into a spreadsheet, database or downstream workflow. Built for marketers, analysts, agencies and developers who need reliable Instagram profile data without maintaining scraping infrastructure. ### What you get For every handle you provide, the actor returns a single dataset record containing: - The full public profile object exactly as Instagram serves it (bio, biography links, category, verification, business flags, profile picture URLs, and more). - Three convenience totals flattened onto the record for quick use: - `follower_count` - `following_count` - `media_count` - `scrapedUsername` — the handle that produced the record. If a handle can't be read (invalid, private-only, or temporarily blocked), the actor still writes a row — `{ "username": "...", "error": "..." }` — 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`). Defaults to `US`. | #### Example input ```json { "usernames": ["cristiano", "leomessi", "nasa"], "proxyCountry": "US" } ```` ### 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 profile is fetched independently so one failure never affects the rest of the batch. ### 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). Each is returned as a full profile: bio, links, follower/following/post counts, verification, category and more. ## `sessionCookie` (type: `string`): Value of your Instagram 'sessionid' cookie. Optional, but it significantly 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-profile-insights").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-profile-insights").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-profile-insights --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=receptional_blender/instagram-profile-insights", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Insights", "description": "Fetch complete public Instagram profiles as structured JSON — bio, external links, follower/following/post counts, verification status, category and profile pictures — for any list of usernames.", "version": "1.0", "x-build-id": "Jd0WS8dHKcb1uWIrq" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/receptional_blender~instagram-profile-insights/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-receptional_blender-instagram-profile-insights", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/receptional_blender~instagram-profile-insights/runs": { "post": { "operationId": "runs-sync-receptional_blender-instagram-profile-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/receptional_blender~instagram-profile-insights/run-sync": { "post": { "operationId": "run-sync-receptional_blender-instagram-profile-insights", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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). Each is returned as a full profile: bio, links, follower/following/post counts, verification, category and more.", "items": { "type": "string" } }, "sessionCookie": { "title": "Instagram session cookie (optional)", "type": "string", "description": "Value of your Instagram 'sessionid' cookie. Optional, but it significantly 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 } } } } } } } } } } ```