# Instagram Post Scraper (`nifty.codes/instagram-postdetails-scraper`) Actor Extract Instagram post and reel details including engagement, media URLs, and author data. Powered by Instagram Scraper. - **URL**: https://apify.com/nifty.codes/instagram-postdetails-scraper.md - **Developed by:** [Nifty](https://apify.com/nifty.codes) (community) - **Categories:** Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## Instagram Post Scraper This actor extracts Post Details from Instagram. It processes individual post or reel URLs to retrieve engagement metrics, media links, and author information. It is designed for deep data extraction from specific content pages. #### Data Fields | Field Name | Description | Example | | --- | --- | --- | | Post Type | Type of content | "video" | | Caption | Text content of the post | "Check out this sunset! #nature" | | Like Count | Number of likes | 1250 | | Comment Count | Number of comments | 45 | | View Count | Number of video views | 5000 | | Author Username | Handle of the poster | "travel_pro" | | Author Full Name | Display name of the poster | "Jane Doe" | | Author ID | Unique Instagram user ID | "123456789" | | Author URL | Link to the profile | "https://www.instagram.com/travel_pro/" | | Author Is Verified | Verification status | true | | Author Profile Pic | URL to profile image | "https://instagram.fcdn.com/pic.jpg" | | Post URL | Direct link to the post | "https://www.instagram.com/p/C1abc234/" | | Image URL | Link to the main image | "https://instagram.fcdn.com/img.jpg" | | Video URL | Link to the video file | "https://instagram.fcdn.com/vid.mp4" | | Cover Image | Video thumbnail URL | "https://instagram.fcdn.com/thumb.jpg" | | Posted At | ISO timestamp of post | "2023-12-01T12:00:00Z" | | Location | Tagged location name | "Grand Canyon" | | Duration | Video length in seconds | 15.5 | | Has Audio | If the post has sound | true | | Audio Title | Name of the audio track | "Original Audio" | | Audio Artist | Creator of the audio | "travel_pro" | | Tagged Users | List of mentioned users | ["friend_1", "brand_2"] | | Is Carousel | If post has multiple slides | false | | Carousel Count | Number of slides | 1 | | Original Width | Pixel width of media | 1080 | | Original Height | Pixel height of media | 1350 | | Is Paid Partnership | If post is sponsored | false | | Comments Disabled | If comments are turned off | false | | Likes Disabled | If like count is hidden | false | | Accessibility Caption | AI generated alt text | "Image may contain: mountain and sky" | #### Input - `urls`: Array of Instagram post or reel URL strings. Only individual post pages are supported. - `maxItems`: Maximum number of items to process per URL. Default is 100. #### Example Input ```json { "urls": ["https://www.instagram.com/p/C1abc234/"], "maxItems": 1 } ```` #### Example Output ```json [ { "postType": "video", "caption": "Morning coffee in Rome", "likeCount": 850, "commentCount": 12, "viewCount": 2100, "authorUsername": "coffee_lover", "authorFullName": "Alex Smith", "authorId": "987654321", "authorUrl": "https://www.instagram.com/coffee_lover/", "authorIsVerified": false, "authorProfilePic": "https://instagram.fcdn.com/p1.jpg", "postUrl": "https://www.instagram.com/p/C1abc234/", "imageUrl": null, "videoUrl": "https://instagram.fcdn.com/v1.mp4", "coverImage": "https://instagram.fcdn.com/c1.jpg", "postedAt": "2023-12-05T08:30:00Z", "location": "Rome, Italy", "duration": 10.2, "hasAudio": true, "audioTitle": "Italian Jazz", "audioArtist": "Artist Name", "taggedUsers": [], "isCarousel": false, "carouselCount": 1, "originalWidth": 1080, "originalHeight": 1920, "isPaidPartnership": false, "commentsDisabled": false, "likesDisabled": false, "accessibilityCaption": "Video of a person pouring coffee" }, { "postType": "image", "caption": "New shoes!", "likeCount": 340, "commentCount": 5, "viewCount": 0, "authorUsername": "fashion_fan", "authorFullName": "Sam Jones", "authorId": "555444333", "authorUrl": "https://www.instagram.com/fashion_fan/", "authorIsVerified": true, "authorProfilePic": "https://instagram.fcdn.com/p2.jpg", "postUrl": "https://www.instagram.com/p/D2def456/", "imageUrl": "https://instagram.fcdn.com/i2.jpg", "videoUrl": null, "coverImage": null, "postedAt": "2023-12-06T15:45:00Z", "location": null, "duration": 0, "hasAudio": false, "audioTitle": null, "audioArtist": null, "taggedUsers": ["shoestore"], "isCarousel": false, "carouselCount": 1, "originalWidth": 1080, "originalHeight": 1080, "isPaidPartnership": true, "commentsDisabled": false, "likesDisabled": false, "accessibilityCaption": "Image of sneakers on a white background" } ] ``` #### Want more from Instagram? This actor only covers **Post Details**. The full **Instagram Scraper** browser extension also includes **Posts in a List, Comments of a Post, Stories, Profile Details, Followers of a User, Following of a User** with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring. **[Get the Instagram Scraper extension](https://nifty.codes/e/instagram-scraper)** #### Disclaimer This tool extracts publicly available data. Users are responsible for compliance with applicable terms of service. # Actor input Schema ## `urls` (type: `array`): URLs to scrape. Must match: instagram.com ## `maxItems` (type: `integer`): Maximum number of items to extract per URL ## Actor input object example ```json { "urls": [ "https://www.instagram.com/p/DWZitMjgHp1/" ], "maxItems": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nifty.codes/instagram-postdetails-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 = {} # Run the Actor and wait for it to finish run = client.actor("nifty.codes/instagram-postdetails-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 '{}' | apify call nifty.codes/instagram-postdetails-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nifty.codes/instagram-postdetails-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Post Scraper", "description": "Extract Instagram post and reel details including engagement, media URLs, and author data. Powered by Instagram Scraper.", "version": "3.2", "x-build-id": "7gd0qiKhRypyAuPtz" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nifty.codes~instagram-postdetails-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nifty.codes-instagram-postdetails-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nifty.codes~instagram-postdetails-scraper/runs": { "post": { "operationId": "runs-sync-nifty.codes-instagram-postdetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nifty.codes~instagram-postdetails-scraper/run-sync": { "post": { "operationId": "run-sync-nifty.codes-instagram-postdetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "URLs", "type": "array", "description": "URLs to scrape. Must match: instagram.com", "items": { "type": "string" }, "default": [ "https://www.instagram.com/p/DWZitMjgHp1/" ] }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of items to extract per URL", "default": 100 } } }, "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 } } } } } } } } } } ```