# Instagram User Info Scraper (`thenetaji/instagram-user-info-scraper`) Actor Fetch full public profile details for one or more Instagram accounts by username. - **URL**: https://apify.com/thenetaji/instagram-user-info-scraper.md - **Developed by:** [The Netaji](https://apify.com/thenetaji) (community) - **Categories:** Social media, Developer tools, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $0.75 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 **Fetch a full public Instagram profile — bio, follower count, verification status — for a batch of usernames in one run.** I built the User Info Scraper as the plain, fast lookup other Actors in this profile already enrich with: no list-scraping, no discovery, just the profile itself. ### Give it usernames, get profiles back Enter one or more Instagram usernames and each comes back as a full public profile record. #### Profile lookup Enter one or more Instagram usernames to fetch each account's full public profile. | Field | Type | Required | Description | | --- | --- | --- | --- | | `username` | array | Yes | Instagram usernames to scrape | #### Example lookup ```json { "username": [ "nasa" ] } ```` ### What you get per account #### Profile identity | Field | Type | Description | | --- | --- | --- | | `username` | string | Instagram username of the account. | | `full_name` | string | Display name shown on the profile. | | `id` | string | Instagram numeric user ID. | | `is_verified` | boolean | Whether the account is verified (blue badge). | | `is_private` | boolean | Whether the account is private. | | `profile_pic_url` | string | Profile picture URL. | #### Result preview ```json { "username": "nasaartemis", "full_name": "NASA Artemis", "id": "1104426670", "is_private": false, "is_verified": true, "profile_pic_url": "https://instagram.fadd2-1.fna.fbcdn.net/example.jpg" } ``` ### Cost is per profile, nothing else This Actor uses Apify pay-per-result pricing. You are charged for successful dataset results according to the Actor pricing shown on the Apify Pricing tab. Enrichment may add extra billable events when enabled. Apify's free credits may cover small test runs and up to the free result allowance configured for the Actor. Start with a low maxItem value and chainDepth 0 before enabling enrichment or chain discovery for large runs. ### Public profile data, used responsibly This Actor extracts publicly available Instagram account information. It should not be used to collect private account data, bypass access controls, or contact people in ways that violate privacy laws, Instagram terms, or your own compliance obligations. If you are unsure, consult a qualified lawyer. ### Run this Actor from code #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_APIFY_API_TOKEN") run = client.actor("thenetaji/instagram-user-info-scraper").call(run_input={ "username": [ "nasa" ] }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` #### Node.js ```javascript import { ApifyClient } from "apify-client"; const client = new ApifyClient({ token: "YOUR_APIFY_API_TOKEN" }); const run = await client.actor("thenetaji/instagram-user-info-scraper").call({ "username": [ "nasa" ] }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` ### Actors that build on this one - [Instagram Related Users Scraper](https://apify.com/thenetaji/instagram-related-user-scraper) — Discover Instagram accounts similar to a given user - [Instagram Followers & Followings Scraper](https://apify.com/thenetaji/instagram-followers-followings-scraper) — Scrape both followers and followings of Instagram users in a single run - [Instagram Profile Content Scraper — Posts, Reels & Story Status](https://apify.com/thenetaji/instagram-profile-content-scraper) — Scrape posts, reels, or check story/live status for one or more public Instagram accounts, with optional full media detail enrichment. ### Ask the maintainer Use the Issues tab on the Actor page for bug reports, missing fields, and feature requests. # Actor input Schema ## `username` (type: `array`): Instagram usernames to scrape ## `fullProfileDetails` (type: `boolean`): Off by default, which returns follower/following counts, biography, bio links and core identity — the fields most runs need, at a fraction of the cost. Turn on to also collect post previews, media count, business category and contact fields. Note that Instagram's full-profile source is currently broken for a sizeable minority of accounts; for those, turning this on costs more and still returns the reduced set. ## Actor input object example ```json { "username": [ "natgeo" ], "fullProfileDetails": false } ``` # Actor output Schema ## `dataset` (type: `string`): Dataset containing all scraped data # 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": [ "natgeo" ] }; // Run the Actor and wait for it to finish const run = await client.actor("thenetaji/instagram-user-info-scraper").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": ["natgeo"] } # Run the Actor and wait for it to finish run = client.actor("thenetaji/instagram-user-info-scraper").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": [ "natgeo" ] }' | apify call thenetaji/instagram-user-info-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thenetaji/instagram-user-info-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram User Info Scraper", "description": "Fetch full public profile details for one or more Instagram accounts by username.", "version": "1.0", "x-build-id": "LThOID7idgjEQBB8X" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thenetaji~instagram-user-info-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thenetaji-instagram-user-info-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thenetaji~instagram-user-info-scraper/runs": { "post": { "operationId": "runs-sync-thenetaji-instagram-user-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thenetaji~instagram-user-info-scraper/run-sync": { "post": { "operationId": "run-sync-thenetaji-instagram-user-info-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "username": { "title": "Username(s)", "type": "array", "description": "Instagram usernames to scrape", "items": { "type": "string" } }, "fullProfileDetails": { "title": "Fetch Full Profile Details", "type": "boolean", "description": "Off by default, which returns follower/following counts, biography, bio links and core identity — the fields most runs need, at a fraction of the cost. Turn on to also collect post previews, media count, business category and contact fields. Note that Instagram's full-profile source is currently broken for a sizeable minority of accounts; for those, turning this on costs more and still returns the reduced set.", "default": false } } }, "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 } } } } } } } } } } ```