# Instagram Highlights Scraper (`seemuapps/instagram-highlights-scraper`) Actor Fetch Instagram highlights and their stories for any public profile. - **URL**: https://apify.com/seemuapps/instagram-highlights-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Automation - **Stats:** 6 total users, 3 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $15.00 / 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 Highlights Scraper Download Instagram highlights from any public profile — including every image and video inside each highlight reel. Get direct media URLs, timestamps, cover images, link stickers, mentions, and full highlight metadata in a clean, structured format. No Instagram account or login required. ### What it does Provide up to 20 Instagram usernames and the actor fetches all of their highlight reels, then fetches every story item inside each reel. Results are grouped by highlight so you get the title, cover image, and full media list in one place. ### Use cases - **Instagram highlight downloader** — save highlight videos and photos directly from any public profile - **Brand monitoring** — track how brands organize and update their highlight reels over time - **Competitor research** — see what products, campaigns, or announcements competitors are pinning to their profile - **Influencer analysis** — audit highlight content and engagement hooks for marketing research - **Content archiving** — back up highlight media before it disappears or gets edited - **Social media scraping** — collect structured Instagram data for analysis pipelines or dashboards ### Input | Field | Type | Required | Description | |---|---|---|---| | `usernames` | `string[]` | ✅ | Up to 20 Instagram usernames (with or without `@`) | #### Example input ```json { "usernames": ["natgeo", "nasa", "nike"] } ```` ### Output One dataset record per highlight reel. Each record contains the highlight metadata and a `stories` array with every media item inside it: ```json { "username": "natgeo", "highlightId": "17854360229135492", "title": "Expeditions", "coverUrl": "https://cdninstagram.com/...", "mediaCount": 12, "stories": [ { "id": "3863446781711360305", "mediaType": "image", "imageUrl": "https://cdninstagram.com/...", "timestamp": 1774778766, "links": ["https://example.com/promo"], "mentions": ["someuser"] }, { "id": "3863626320286590396", "mediaType": "video", "imageUrl": "https://cdninstagram.com/...thumb.jpg", "videoUrl": "https://cdninstagram.com/....mp4", "timestamp": 1774800158 } ] } ``` #### Highlight fields | Field | Type | Description | |---|---|---| | `username` | `string` | Instagram username | | `highlightId` | `string` | Instagram highlight reel ID | | `title` | `string` | Title of the highlight reel | | `coverUrl` | `string` | Direct URL to the highlight cover image | | `mediaCount` | `number` | Number of items in the reel | | `stories` | `object[]` | All media items in this highlight (see below) | #### Story item fields | Field | Type | Description | |---|---|---| | `id` | `string` | Instagram media ID | | `mediaType` | `"image" \| "video"` | Media type | | `imageUrl` | `string` | Direct URL to the thumbnail or full image | | `videoUrl` | `string` | Direct URL to the video file (video only) | | `timestamp` | `number` | Unix timestamp (seconds) when the item was posted | | `links` | `string[]` | URLs from link stickers (omitted if none) | | `mentions` | `string[]` | Usernames tagged in the item (omitted if none) | ### Notes - Only **public** profiles are supported — private profiles cannot be accessed - Unlike stories, highlights **do not expire** — they stay on the profile until the user removes them - Maximum **20 usernames** per run # Actor input Schema ## `usernames` (type: `array`): List of Instagram usernames to fetch highlights for (max 20) ## Actor input object example ```json { "usernames": [ "natgeo", "nike" ] } ``` # Actor output Schema ## `highlights` (type: `string`): One record per highlight reel containing the title, cover image, and all media items (images and videos) inside it # 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": [ "natgeo", "nike" ] }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/instagram-highlights-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": [ "natgeo", "nike", ] } # Run the Actor and wait for it to finish run = client.actor("seemuapps/instagram-highlights-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": [ "natgeo", "nike" ] }' | apify call seemuapps/instagram-highlights-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/instagram-highlights-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Highlights Scraper", "description": "Fetch Instagram highlights and their stories for any public profile.", "version": "1.0", "x-build-id": "r5FgVdWO8UffXJzgU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~instagram-highlights-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-instagram-highlights-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~instagram-highlights-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-instagram-highlights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~instagram-highlights-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-instagram-highlights-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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" ], "properties": { "usernames": { "title": "Usernames", "type": "array", "description": "List of Instagram usernames to fetch highlights for (max 20)", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```