# Instagram Profile Scraper (`emt_getdataforu/apify-instagram-profile-scraper`) Actor Scrape all Instagram profile info. Just add Instagram usernames, IDs or URLs and extract name, join date, number of followers, location, bio, website, related profiles, video\&post count, latest posts. Export scraped data, schedule scraper via API, and integrate with other tools or AI workflows. - **URL**: https://apify.com/emt\_getdataforu/apify-instagram-profile-scraper.md - **Developed by:** [EMT Crawler](https://apify.com/emt_getdataforu) (community) - **Categories:** E-commerce, Social media, SEO tools - **Stats:** 3 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $2.50 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Actor mẫu — Free token pool + actor Store Gọi **bất kỳ actor free** trên Apify Store; **token** lấy từ Google Doc (xoay khi hết quota). Form **Input** clone từ actor gốc — **không sửa code** khi đổi actor. Chi tiết nhân bản: **[CLONE.md](./CLONE.md)** ### Nhân bản nhanh ```bash ## 1 lần apify secrets add GOOGLE_SERVICE_ACCOUNT '{"type":"service_account",...}' apify login ## Mỗi actor Store mới — chỉ 1 lệnh (+ apify push) npm run setup -- clockworks~tiktok-comments-scraper apify push ```` Sửa tay tối thiểu: `template.config.json` → `targetActorId`. ### Cách hoạt động ``` Input (form clone từ Store) → Actor proxy → API + token từ Google Doc → Actor Store → Dataset ``` - Token: Google Doc `KEY`, mỗi dòng `apify_api_...` - Hết free: thử dòng tiếp theo - Config: `template.config.json` + secret `GOOGLE_SERVICE_ACCOUNT` ### File quan trọng | File | Khi clone | |------|-----------| | `template.config.json` | Đổi `targetActorId` | | `npm run setup -- user~actor` | Tự cập nhật input schema + actor.json | | `src/*` | **Không sửa** | | Google Doc | Thêm/bớt token (không push) | ### Test local `input.json` — field theo actor vừa `setup` (xem `.actor/input_schema.json`). ```bash set GOOGLE_SERVICE_ACCOUNT={"type":"service_account",...} npm start ``` # Actor input Schema ## `usernames` (type: `array`): Provide one or several Instagram user names you want to scrape the posts from. The actor will also handle user name IDs. ## `includeAboutSection` (type: `boolean`): This feature is for paying users only. If enabled, the scraper will extract information about the account, including date joined, country of origin, and the profile's channel information. Please beware that the country is there ONLY if the user filled in this information. ## Actor input object example ```json { "usernames": [ "humansofny" ], "includeAboutSection": false } ``` # 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": [ "humansofny" ] }; // Run the Actor and wait for it to finish const run = await client.actor("emt_getdataforu/apify-instagram-profile-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 = { "usernames": ["humansofny"] } # Run the Actor and wait for it to finish run = client.actor("emt_getdataforu/apify-instagram-profile-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 '{ "usernames": [ "humansofny" ] }' | apify call emt_getdataforu/apify-instagram-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=emt_getdataforu/apify-instagram-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Scraper", "description": "Scrape all Instagram profile info. Just add Instagram usernames, IDs or URLs and extract name, join date, number of followers, location, bio, website, related profiles, video&post count, latest posts. Export scraped data, schedule scraper via API, and integrate with other tools or AI workflows.", "version": "0.1", "x-build-id": "hyoPJifbAhV17pzci" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/emt_getdataforu~apify-instagram-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-emt_getdataforu-apify-instagram-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/emt_getdataforu~apify-instagram-profile-scraper/runs": { "post": { "operationId": "runs-sync-emt_getdataforu-apify-instagram-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/emt_getdataforu~apify-instagram-profile-scraper/run-sync": { "post": { "operationId": "run-sync-emt_getdataforu-apify-instagram-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "usernames": { "title": "Instagram username(s)", "type": "array", "description": "Provide one or several Instagram user names you want to scrape the posts from. The actor will also handle user name IDs.", "items": { "type": "string" } }, "includeAboutSection": { "title": "$ Extract about account information", "type": "boolean", "description": "This feature is for paying users only. If enabled, the scraper will extract information about the account, including date joined, country of origin, and the profile's channel information. Please beware that the country is there ONLY if the user filled in this information.", "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 } } } } } } } } } } ```