# Instagram Profile Extractor πŸ“Έβš‘ : Data, Details & Analytics (`thedoor/instagram-profile-scraper`) Actor Extract public Instagram profile data in seconds β€” names, bios, followers, following counts, and post stats. No login or cookies required! Outputs to JSON/CSV/Excel for instant research, marketing, or automation workflows. Fast, reliable, and data-driven. - **URL**: https://apify.com/thedoor/instagram-profile-scraper.md - **Developed by:** [TheDoor](https://apify.com/thedoor) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 21 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $15.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ### Instagram Profile Scraper Actor #### Overview This actor scrapes public Instagram profiles and collects post data such as post URLs, like counts, comment counts, captions, timestamps, media info, and more for each post. It streams up to 30 posts per profile. #### How to Input Provide an input JSON with the following format: ```json { "url": [ "https://www.instagram.com/profile1/", "https://www.instagram.com/profile2/" ], "maxPosts": 30 } ```` - `url`: Array of Instagram profile URLs to scrape. - `maxPosts`: Maximum number of posts to fetch per profile (default: 30). #### Output Format Each post is streamed as a JSON object with the following structure: ```json { "post_url": "https://www.instagram.com/p/SHORTCODE/", "like_count": 1234, "comment_count": 56, "caption": "Post caption text...", "human_timestamp": "MM/DD/YYYY, HH:MM:SS AM/PM", "id": "POST_ID", "shortcode": "SHORTCODE", "is_video": false, "taken_at_timestamp": 1234567890, "dimensions": { "height": 1080, "width": 1080 }, "display_url": "https://...jpg", "hashtags": ["tag1", "tag2"], "owner_id": "USER_ID", "owner_username": "username", "location": "", "accessibility_caption": "", "carousel": [], "profile_url": "https://www.instagram.com/username/" } ``` ##### Example Output ```json { "post_url": "https://www.instagram.com/p/DN3i2FNUuLB/", "like_count": 5762, "comment_count": 112, "caption": "Back on the Joe Rogan Experience for the second time. Big thanks to @joerogan for the invite - always an honor to sit down and talk about the game I love.\nAvailable on YT and Spotify.", "human_timestamp": "8/27/2025, 6:05:32 PM", "id": "3708586068188259009", "shortcode": "DN3i2FNUuLB", "is_video": false, "taken_at_timestamp": 1756317932, "dimensions": { "height": 1080, "width": 1080 }, "display_url": "https://instagram.fhan3-3.fna.fbcdn.net/v/t51.2885-15/539658308_18525902818053625_7679820747071942483_n.jpg?...", "hashtags": [], "owner_id": "1205749624", "owner_username": "gorstyanich", "location": "", "accessibility_caption": "", "carousel": [], "profile_url": "https://www.instagram.com/gorstyanich/" } ``` # Actor input Schema ## `url` (type: `array`): The URLs of the Instagram profiles you want to scrape. One URL per line. ## `maxPosts` (type: `integer`): The maximum number of posts to scrape from the profile. ## Actor input object example ```json { "url": [ "https://www.instagram.com/gorstyanich/" ], "maxPosts": 10 } ``` # 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 = { "url": [ "https://www.instagram.com/gorstyanich/" ] }; // Run the Actor and wait for it to finish const run = await client.actor("thedoor/instagram-profile-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "url": ["https://www.instagram.com/gorstyanich/"] } # Run the Actor and wait for it to finish run = client.actor("thedoor/instagram-profile-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "url": [ "https://www.instagram.com/gorstyanich/" ] }' | apify call thedoor/instagram-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=thedoor/instagram-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Extractor πŸ“Έβš‘ : Data, Details & Analytics", "description": "Extract public Instagram profile data in seconds β€” names, bios, followers, following counts, and post stats. No login or cookies required!\nOutputs to JSON/CSV/Excel for instant research, marketing, or automation workflows. Fast, reliable, and data-driven.", "version": "1.0", "x-build-id": "aODGLhEMQo56htcDM" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/thedoor~instagram-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-thedoor-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/thedoor~instagram-profile-scraper/runs": { "post": { "operationId": "runs-sync-thedoor-instagram-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/thedoor~instagram-profile-scraper/run-sync": { "post": { "operationId": "run-sync-thedoor-instagram-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "url" ], "properties": { "url": { "title": "Instagram Profile URLs", "type": "array", "description": "The URLs of the Instagram profiles you want to scrape. One URL per line.", "items": { "type": "string" } }, "maxPosts": { "title": "Number of Posts", "minimum": 1, "type": "integer", "description": "The maximum number of posts to scrape from the profile.", "default": 10 } } }, "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 } } } } } } } } } } ```