# Instagram Profile Data API (`dev00/instagram-profile-data`) Actor Extract rich profile stats, follower counts, bios, external URLs, and recent media timeline posts from any public Instagram user. - **URL**: https://apify.com/dev00/instagram-profile-data.md - **Developed by:** [dev00](https://apify.com/dev00) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 57.1% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing $3.00 / 1,000 instagram profile lookups 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 ## 📸 Ultimate Instagram Profile & Media Data API Extract rich, structured profile data and post feeds from any public Instagram username instantly — no accounts, keys, logins, or browser proxies required! This edge-optimized tool proxies Instagram REST queries via an advanced App ID gateway, formats data, manages pagination loops, records programmatic PPE charge units, and maps clean visual answers. Perfect for marketing intelligence, user profiling, timeline scrapers, sentiment analyzers, and user onboarding flows. --- ### 🌟 Key Features * **Dual Operation Modes**: Retrieve either core user profile details or recent timeline posts. * **No Authentication or Login Blockers**: Edge-deployed API handles sessions completely. * **Advanced Pagination Support**: Provide pagination cursors to retrieve up to 300 posts. * **Tabular Splits**: Pushes post items as individual row sheets for organized console previews. * **Pay-Per-Event PPE Monetization**: Cost-efficient pricing model charging only for successful queries. --- ### 🛠️ How It Works This Actor routes lookups to an edge-deployed gateway, requests public endpoint structures, processes array details, registers programmatic PPE charge counts, and outputs visual keys. --- ### 📥 Input Parameters | Field | Type | Description | Prefill Example | | :--- | :--- | :--- | :--- | | **Instagram Username** | `string` | Target Instagram username to lookup. | `nike` | | **Endpoint Mode** | `select` | Core profile lookup or recent timeline media items. | `profile` | | **Media Fetch Limit** | `number` | Total posts to fetch (applicable for `/media`). Max is 300. | `12` | | **Pagination Cursor** | `string` | Next cursor string to retrieve more media items. | `(optional)` | #### Input JSON Example ```json { "username": "nike", "endpoint": "profile" } ```` *** ### 📤 Output Data Structure Tabular datasets output clean rows mapping the account info: #### Output JSON Example (Profile Mode) ```json { "success": true, "type": "profile", "username": "nike", "full_name": "Nike", "biography": "Bring inspiration and innovation to every athlete in the world.", "followers": 305100200, "following": 142, "posts_count": 1054, "profile_pic_url": "https://instagram.fcc.fbcdn.net/...", "external_url": "https://www.nike.com", "is_verified": true, "is_private": false } ``` *** ### 💳 Monetization & Cost This Actor utilizes the **Pay-Per-Event (PPE)** pricing model on the Apify Store: - **Base Pricing**: Only **$3.00 per 1,000 successful lookups** (`$0.003` per event). - **Pay as You Go**: If a profile is private or unindexed, no billing charges occur. # Actor input Schema ## `username` (type: `string`): Provide the Instagram username to profile (e.g. 'cristiano', 'nike', 'apple'). ## `endpoint` (type: `string`): Select whether to retrieve core profile info or recent media timeline items. ## `limit` (type: `integer`): Only applicable when Endpoint Mode is set to 'Recent Media Posts'. Maximum is 300. ## `cursor` (type: `string`): Only applicable when Endpoint Mode is set to 'Recent Media Posts'. Provide the next\_cursor to fetch more items. ## Actor input object example ```json { "username": "nike", "endpoint": "profile", "limit": 12 } ``` # Actor output Schema ## `results` (type: `string`): No description ## `keyValueStoreResult` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "username": "nike", "endpoint": "profile", "limit": 12 }; // Run the Actor and wait for it to finish const run = await client.actor("dev00/instagram-profile-data").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "username": "nike", "endpoint": "profile", "limit": 12, } # Run the Actor and wait for it to finish run = client.actor("dev00/instagram-profile-data").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 '{ "username": "nike", "endpoint": "profile", "limit": 12 }' | apify call dev00/instagram-profile-data --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=dev00/instagram-profile-data", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Data API", "description": "Extract rich profile stats, follower counts, bios, external URLs, and recent media timeline posts from any public Instagram user.", "version": "1.0", "x-build-id": "xhPuuFCnBknvYc5oT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/dev00~instagram-profile-data/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-dev00-instagram-profile-data", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/dev00~instagram-profile-data/runs": { "post": { "operationId": "runs-sync-dev00-instagram-profile-data", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/dev00~instagram-profile-data/run-sync": { "post": { "operationId": "run-sync-dev00-instagram-profile-data", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username", "endpoint" ], "properties": { "username": { "title": "Instagram Username", "type": "string", "description": "Provide the Instagram username to profile (e.g. 'cristiano', 'nike', 'apple')." }, "endpoint": { "title": "Endpoint Mode", "enum": [ "profile", "media" ], "type": "string", "description": "Select whether to retrieve core profile info or recent media timeline items.", "default": "profile" }, "limit": { "title": "Media Fetch Limit", "minimum": 1, "maximum": 300, "type": "integer", "description": "Only applicable when Endpoint Mode is set to 'Recent Media Posts'. Maximum is 300.", "default": 12 }, "cursor": { "title": "Pagination Cursor (Optional)", "type": "string", "description": "Only applicable when Endpoint Mode is set to 'Recent Media Posts'. Provide the next_cursor to fetch more items." } } }, "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 } } } } } } } } } } ```