# Instagram Post Scraper (`apple_yang/instagram-post-scraper`) Actor This Apify Actor extracts recent Instagram posts (including videos, captions, and metadata) from specified public usernames. - **URL**: https://apify.com/apple\_yang/instagram-post-scraper.md - **Developed by:** [APISmith](https://apify.com/apple_yang) (community) - **Categories:** Videos, Social media, AI - **Stats:** 3 total users, 2 monthly users, 82.4% runs succeeded, NaN bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing $1.50 / 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 Posts Scraper This Apify Actor extracts recent Instagram posts (including videos, captions, and metadata) from specified public usernames. It is designed for lightweight, structured data collection with support for multiple usernames and customizable result limits. --- ### 🚀 Features - Scrape posts from one or more Instagram usernames - Supports video posts, images, and metadata - Returns structured JSON output - Includes engagement metrics (likes, comments) - Extracts media URLs (video, audio, images) - Fast and scalable via Apify platform --- ### 📥 Input Provide a JSON object with the following structure: ```json { "resultsLimit": 12, "usernames": [ "bbcnews" ] } ```` #### Input Parameters | Field | Type | Description | | -------------- | ------ | ---------------------------------------------- | | `resultsLimit` | Number | Maximum number of posts to return per username | | `usernames` | Array | List of Instagram usernames to scrape | *** ### 📤 Output The Actor returns an array of post objects with detailed metadata. #### Example Output ```json [ { "id": "3879307207867408382_16278726", "pk": "3879307207867408382", "type": "Video", "shortCode": "DXWEVojjJ_-", "caption": "The US has intercepted an Iranian-flagged cargo ship...", "url": "https://www.instagram.com/p/DXWEVojjJ_-/", "commentsCount": 118, "dimensionsHeight": 1136, "dimensionsWidth": 640, "displayUrl": "https://...", "images": [], "childPosts": [], "videoUrl": "https://...", "audioUrl": "https://...", "likeCount": 1147, "timestamp": 1776669508, "ownerId": "16278726", "ownerUsername": "bbcnews", "ownerFullName": "BBC News", "ownerProfilePicUrl": "https://...", "productType": "clips", "isCommentsDisabled": false, "inputUrl": "bbcnews", "alt": "", "videoDuration": 0, "artist_name": "bbcnews", "song_name": "原声", "should_mute_audio": false, "should_mute_audio_reason": "", "audio_id": "26793687173599804" } ] ``` *** ### 📊 Output Fields Explained | Field | Description | | -------------------- | ---------------------------------------- | | `id` | Unique identifier of the post | | `pk` | Instagram internal post ID | | `type` | Type of post (e.g., Video, Image) | | `shortCode` | Instagram shortcode | | `caption` | Post caption text | | `url` | Direct link to the post | | `commentsCount` | Number of comments | | `likeCount` | Number of likes | | `timestamp` | Unix timestamp of post creation | | `displayUrl` | Thumbnail or cover image | | `videoUrl` | Video file URL (if applicable) | | `audioUrl` | Audio track URL (if available) | | `images` | Array of image URLs (for carousel posts) | | `childPosts` | Nested posts (if carousel) | | `ownerUsername` | Username of the post owner | | `ownerFullName` | Full name of the account | | `ownerProfilePicUrl` | Profile picture URL | | `productType` | Instagram content type (e.g., clips) | | `isCommentsDisabled` | Whether comments are disabled | *** ### ⚙️ Usage 1. Open the Actor in Apify Console 2. Enter your input JSON 3. Click **Run** 4. Download results as JSON, CSV, or via API *** ### 🔗 API Access You can run this Actor programmatically using the Apify API: ```bash curl "https://api.apify.com/v2/acts/YOUR-ACTOR-ID/run-sync-get-dataset-items?token=YOUR-API-TOKEN" \ -H "Content-Type: application/json" \ -d '{ "resultsLimit": 12, "usernames": ["bbcnews"] }' ``` *** ### ⚠️ Notes - Only public Instagram profiles are supported - Data availability depends on Instagram's structure and rate limits - Large requests may take longer to process *** ### 📌 Use Cases - Social media monitoring - News tracking (e.g., BBC, CNN, etc.) - Influencer analytics - Content archiving - Trend analysis # Actor input Schema ## `usernames` (type: `array`): The usernames of the instagram you want to get the data from. ## `resultsLimit` (type: `integer`): The maximum number of results to return. ## Actor input object example ```json { "usernames": [ "bbcnews" ], "resultsLimit": 12 } ``` # 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": [ "bbcnews" ], "resultsLimit": 12 }; // Run the Actor and wait for it to finish const run = await client.actor("apple_yang/instagram-post-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": ["bbcnews"], "resultsLimit": 12, } # Run the Actor and wait for it to finish run = client.actor("apple_yang/instagram-post-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": [ "bbcnews" ], "resultsLimit": 12 }' | apify call apple_yang/instagram-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=apple_yang/instagram-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Post Scraper", "description": "This Apify Actor extracts recent Instagram posts (including videos, captions, and metadata) from specified public usernames.", "version": "0.0", "x-build-id": "OnX8gTXASNrWDEsDE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/apple_yang~instagram-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-apple_yang-instagram-post-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/apple_yang~instagram-post-scraper/runs": { "post": { "operationId": "runs-sync-apple_yang-instagram-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/apple_yang~instagram-post-scraper/run-sync": { "post": { "operationId": "run-sync-apple_yang-instagram-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "usernames", "resultsLimit" ], "properties": { "usernames": { "title": "The username of the instagram", "type": "array", "description": "The usernames of the instagram you want to get the data from.", "items": { "type": "string" } }, "resultsLimit": { "title": "The results limit", "type": "integer", "description": "The maximum number of results to return." } } }, "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 } } } } } } } } } } ```