# Discover Instagram Profile Posts (`pratikdani/discover-instagram-profile-posts`) Actor An automated tool that extracts and analyzes complete post data from Instagram profiles, including media content, engagement metrics, and user interactions. - **URL**: https://apify.com/pratikdani/discover-instagram-profile-posts.md - **Developed by:** [Pratik Dani](https://apify.com/pratikdani) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 2 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $4.00 / 1,000 posts retrieveds 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 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 ## Discover Instagram Profile Posts ### Overview The Discover Instagram Profile Posts Actor is a powerful tool designed to extract comprehensive data from Instagram profiles. It automatically scrapes and processes all posts from a given Instagram profile, collecting detailed information about each post including media content, engagement metrics, and user interactions. Interested in using this scraper? Get it here: [Discover Instagram Profile Posts](https://apify.com/pratikdani/discover-instagram-profile-posts). ### Features - Complete post extraction from any public Instagram profile - Detailed post information including descriptions, hashtags, and timestamps - Media content URLs for photos and videos - Engagement metrics (likes, comments, views) - Comment thread analysis with replies - User verification status and follower counts - Audio track information for Reels - Partnership and collaboration details - Profile statistics and metadata ### Output Fields | Field Name | Type | Description | |------------|------|-------------| | url | String | Direct URL to the Instagram post | | user_posted | String | Username of the post author | | description | String | Full text content of the post | | hashtags | Array[String] | List of hashtags used in the post | | num_comments | Integer | Total number of comments on the post | | date_posted | ISO Date | Timestamp of when the post was published | | likes | Integer | Number of likes received on the post | | photos | Array[String] | URLs of photos included in the post | | videos | Array[String] | URLs of videos included in the post | | location | Object/null | Location information if tagged (null if not tagged) | | latest_comments | Array[Object] | Recent comments with replies and engagement data | | post_id | String | Unique identifier for the post | | content_type | String | Type of post (e.g., "Reel", "Post") | | video_view_count | String | Number of video views (for video content) | | video_play_count | Integer | Number of times the video was played | | followers | Integer | Current follower count of the profile | | posts_count | Integer | Total number of posts on the profile | | profile_image_link | String | URL of the profile picture | | is_verified | Boolean | Whether the account is verified | | is_paid_partnership | Boolean | Indicates if the post is marked as paid partnership | | partnership_details | Object | Details about brand partnerships if applicable | | post_content | Array[Object] | Structured content objects with type and URL | | audio | Object | Audio information for Reels including artist details | | profile_url | String | URL to the Instagram profile | ### Possible Usage 1. **Influencer Analysis** - Track engagement metrics over time - Analyze content performance - Monitor brand partnerships 2. **Content Monitoring** - Track competitor posting patterns - Analyze hashtag usage - Monitor engagement trends 3. **Marketing Research** - Identify successful content strategies - Analyze audience engagement patterns - Track campaign performance 4. **Data Analysis** - Generate engagement reports - Track growth metrics - Analyze posting patterns ### Example Output ```json [ { "url": "https://www.instagram.com/p/DEnrkoisS37/?__a=1&__d=dis&hl=en", "user_posted": "driziinha", "description": "Trabalhar por turnos faz com que os meus dias sejam sempre diferentes, mas aquela rotina boa quando chego a casa e que me ajuda a desligar do trabalho é (quase) sempre a mesma: tirar sapatos, tirar soutien, tirar make up* e, mais recentemente, pousar o telemóvel até, pelo menos, os miúdos irem para a cama. \n\n*desmaquilhante Take The Day Off Balm + Moisture Surge Overnight Mask da @cliniqueportugal deixam a pele um sonho, mega hidratada e cada embalagem dura imenso. Para quem já adora o hidrante Moisture Surge, imaginem a versão máscara de noite... 🤤 #cliniquewomen pub", "hashtags": [ "#cliniquewomen" ], "num_comments": 25, "date_posted": "2025-01-09T21:33:29.000Z", "likes": 508, "photos": [ "https://instagram.ftnr4-2.fna.fbcdn.net/v/t51.2885-15/472454364_18485451343003661_8301411466355177501_n.jpg?stp=dst-jpg_e35_p1080x1080_sh0.08_tt6&_nc_ht=instagram.ftnr4-2.fna.fbcdn.net&_nc_cat=105&_nc_ohc=JHJlPr0NAbgQ7kNvgHclbkY&_nc_gid=db5007280a72435cb6a7317237865270&edm=AABBvjUBAAAA&ccb=7-5&oh=00_AYDYyF-y-m6hw5IT8WY-dYjXbeFP4khX2E46aodRKguDdQ&oe=678F99EE&_nc_sid=4f4799" ], "videos": [ "https://instagram.ftnr4-2.fna.fbcdn.net/o1/v/t16/f2/m86/AQPRRGyTB74Jmf9VXuLyHat7KkRM9VM_5QTHu2Axz5QjxT4av8_tjRSiBgQFMYRlpSqcKfMkHPXJ-RUl3OTtgBJp5IJAIDrH4h3goGI.mp4?stp=dst-mp4&efg=eyJxZV9ncm91cHMiOiJbXCJpZ193ZWJfZGVsaXZlcnlfdnRzX290ZlwiXSIsInZlbmNvZGVfdGFnIjoidnRzX3ZvZF91cmxnZW4uY2xpcHMuYzIuNzIwLmJhc2VsaW5lIn0&_nc_cat=104&vs=914725777449258_843979142&_nc_vs=HBksFQIYUmlnX3hwdl9yZWVsc19wZXJtYW5lbnRfc3JfcHJvZC9GODQwMjczRDlEMzg3OTY0Q0NEMTlGMzJEMUFCMjI4Ml92aWRlb19kYXNoaW5pdC5tcDQVAALIAQAVAhg6cGFzc3Rocm91Z2hfZXZlcnN0b3JlL0dPVjNJeHo4NVBnVUNXUURBSTBwQWRoUUg0SVFicV9FQUFBRhUCAsgBACgAGAAbABUAACaSrqeXx8qRQBUCKAJDMywXQDPP3ztkWh0YEmRhc2hfYmFzZWxpbmVfMV92MREAdf4HAA%3D%3D&_nc_rid=db500829eb&ccb=9-4&oh=00_AYAdeouzzb2aN0jp5MrIdA-T8tLD6t-bY3psNQHpR-8amQ&oe=678BCAAA&_nc_sid=4f4799" ], "location": null, "latest_comments": [ { "comments": "😍😍", "likes": 1, "replies": [ { "comments": "@a.risca.concept ❤️", "likes": 0, "user_commenting": "driziinha" } ], "user_commenting": "a.risca.concept" }, { "comments": "❤️❤️❤️❤️❤️", "likes": 1, "replies": [ { "comments": "@maria.godinho.56 ❤️", "likes": 0, "user_commenting": "driziinha" } ], "user_commenting": "maria.godinho.56" }, { "comments": "😍😍😍", "likes": 1, "replies": [ { "comments": "@nene_i.j.a.m ❤️", "likes": 0, "user_commenting": "driziinha" } ], "user_commenting": "nene_i.j.a.m" }, { "comments": "Parabéns Andreia. Que seja um dia bem feliz. ❤️", "likes": 1, "replies": [ { "comments": "@mlle.rosinha obrigadaaaa, um grande beijinho ❤️", "likes": 1, "user_commenting": "driziinha" } ], "user_commenting": "mlle.rosinha" }, { "comments": "❤️😍", "likes": 1, "replies": [ { "comments": "@chvnge ❤️", "likes": 0, "user_commenting": "driziinha" } ], "user_commenting": "chvnge" } ], "post_id": "3541991265383034363", "discovery_input": null, "has_handshake": null, "display_url": "https://www.instagram.com/p/DEnrkoisS37/?__a=1&__d=dis&hl=en/media/?size=l", "shortcode": "DEnrkoisS37", "content_type": "Reel", "pk": "3541991265383034363", "content_id": "DEnrkoisS37", "engagement_score_view": 16384, "thumbnail": "https://instagram.ftnr4-2.fna.fbcdn.net/v/t51.2885-15/472454364_18485451343003661_8301411466355177501_n.jpg?stp=c0.459.1178.1178a_dst-jpg_e35_s640x640_sh0.08_tt6&_nc_ht=instagram.ftnr4-2.fna.fbcdn.net&_nc_cat=105&_nc_ohc=JHJlPr0NAbgQ7kNvgHclbkY&_nc_gid=db5007280a72435cb6a7317237865270&edm=AABBvjUBAAAA&ccb=7-5&oh=00_AYBA77GJDo2aq0H8iTE-aXlaXmOSqgW3zx-oPvvLjIqeLQ&oe=678F99EE&_nc_sid=4f4799", "video_view_count": "16384", "product_type": "clips", "coauthor_producers": null, "tagged_users": [ { "full_name": "Clinique Portugal Market", "id": "1218941374", "is_verified": true, "profile_pic_url": "https://instagram.ftnr4-2.fna.fbcdn.net/v/t51.2885-19/275466473_1144882346334894_1753971632245538969_n.jpg?stp=dst-jpg_s150x150_tt6&_nc_ht=instagram.ftnr4-2.fna.fbcdn.net&_nc_cat=106&_nc_ohc=oz_f34nfTPQQ7kNvgEerpn_&_nc_gid=db5007280a72435cb6a7317237865270&edm=AABBvjUBAAAA&ccb=7-5&oh=00_AYDcBJt_xdPdiTb4wr8wiyBJpLooqkbFXxzXT6Gnodx-UA&oe=678FC23C&_nc_sid=4f4799", "username": "cliniqueportugal" } ], "video_play_count": 44299, "followers": 57876, "posts_count": 3852, "profile_image_link": "https://instagram.ftnr4-2.fna.fbcdn.net/v/t51.2885-19/336494325_718773926652151_3081931411584012305_n.jpg?stp=dst-jpg_s150x150_tt6&_nc_ht=instagram.ftnr4-2.fna.fbcdn.net&_nc_cat=107&_nc_ohc=m8SkA1rWjGgQ7kNvgEfq6rV&_nc_gid=db5007280a72435cb6a7317237865270&edm=AABBvjUBAAAA&ccb=7-5&oh=00_AYD1uUPVbxEJds3UTOPZUWgmULGAlFjiKHOAFVuILhq8VA&oe=678F9A6B&_nc_sid=4f4799", "is_verified": true, "is_paid_partnership": false, "partnership_details": { "profile_id": null, "profile_url": null, "username": null }, "user_posted_id": "185219660", "post_content": [ { "index": 0, "type": "Video", "url": "https://instagram.ftnr4-2.fna.fbcdn.net/o1/v/t16/f2/m86/AQPRRGyTB74Jmf9VXuLyHat7KkRM9VM_5QTHu2Axz5QjxT4av8_tjRSiBgQFMYRlpSqcKfMkHPXJ-RUl3OTtgBJp5IJAIDrH4h3goGI.mp4?stp=dst-mp4&efg=eyJxZV9ncm91cHMiOiJbXCJpZ193ZWJfZGVsaXZlcnlfdnRzX290ZlwiXSIsInZlbmNvZGVfdGFnIjoidnRzX3ZvZF91cmxnZW4uY2xpcHMuYzIuNzIwLmJhc2VsaW5lIn0&_nc_cat=104&vs=914725777449258_843979142&_nc_vs=HBksFQIYUmlnX3hwdl9yZWVsc19wZXJtYW5lbnRfc3JfcHJvZC9GODQwMjczRDlEMzg3OTY0Q0NEMTlGMzJEMUFCMjI4Ml92aWRlb19kYXNoaW5pdC5tcDQVAALIAQAVAhg6cGFzc3Rocm91Z2hfZXZlcnN0b3JlL0dPVjNJeHo4NVBnVUNXUURBSTBwQWRoUUg0SVFicV9FQUFBRhUCAsgBACgAGAAbABUAACaSrqeXx8qRQBUCKAJDMywXQDPP3ztkWh0YEmRhc2hfYmFzZWxpbmVfMV92MREAdf4HAA%3D%3D&_nc_rid=db500829eb&ccb=9-4&oh=00_AYAdeouzzb2aN0jp5MrIdA-T8tLD6t-bY3psNQHpR-8amQ&oe=678BCAAA&_nc_sid=4f4799" } ], "audio": { "audio_asset_id": "1424564281572156", "ig_artist_id": "maro.musica", "ig_artist_username": "maro.musica", "original_audio_title": "MARO - BIRDS OF A FEATHER (cover)" }, "profile_url": "https://www.instagram.com/driziinha" } ] ```` # Actor input Schema ## `url` (type: `string`): URL of the Instagram Profile ## `number` (type: `integer`): Number of posts to scrape ## Actor input object example ```json { "url": "https://www.instagram.com/the.deafie.chick/", "number": 12 } ``` # 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/the.deafie.chick/", "number": 12 }; // Run the Actor and wait for it to finish const run = await client.actor("pratikdani/discover-instagram-profile-posts").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 = { "url": "https://www.instagram.com/the.deafie.chick/", "number": 12, } # Run the Actor and wait for it to finish run = client.actor("pratikdani/discover-instagram-profile-posts").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 '{ "url": "https://www.instagram.com/the.deafie.chick/", "number": 12 }' | apify call pratikdani/discover-instagram-profile-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=pratikdani/discover-instagram-profile-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Discover Instagram Profile Posts", "description": "An automated tool that extracts and analyzes complete post data from Instagram profiles, including media content, engagement metrics, and user interactions.", "version": "0.0", "x-build-id": "jeUdoEKwtMIMK2iAo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/pratikdani~discover-instagram-profile-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-pratikdani-discover-instagram-profile-posts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/pratikdani~discover-instagram-profile-posts/runs": { "post": { "operationId": "runs-sync-pratikdani-discover-instagram-profile-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/pratikdani~discover-instagram-profile-posts/run-sync": { "post": { "operationId": "run-sync-pratikdani-discover-instagram-profile-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 Url", "type": "string", "description": "URL of the Instagram Profile" }, "number": { "title": "Number of Posts", "type": "integer", "description": "Number of posts to scrape" } } }, "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 } } } } } } } } } } ```