# Instagram Posts & Reels Scraper (`seemuapps/instagram-posts-scraper`) Actor Scrape all posts and Reels from any public Instagram profile — captions, like, comment and view counts, hashtags, media URLs, and author details. - **URL**: https://apify.com/seemuapps/instagram-posts-scraper.md - **Developed by:** [Andrew](https://apify.com/seemuapps) (community) - **Categories:** Social media, Lead generation, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 single posts 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 & Reels Scraper Extract every post and Reel from any public Instagram profile — captions, engagement metrics, and media URLs. No login or cookies required. ### What you get For every post on a profile, the scraper returns a structured record with: **Post metadata** - Post ID, shortcode, and direct post URL - Media type (photo, video, carousel) and product type (feed, clips/Reels) - Post timestamp (ISO 8601 and Unix) - Caption text with auto-extracted hashtags and @mentions - Paid partnership flag **Engagement stats** - Like count, comment count, view count, play count - Video duration (for Reels and video posts) **Media URLs** - Thumbnail / cover image URL - Video URL (direct MP4, when available) **Author profile** - Author ID, username, full name - Profile picture URL - Verified and private flags **Location** (when set on the post) - Location name and city **Pagination** - `NEXT_PAGE_ID` cursor so you can resume from where a previous run left off ### Use cases - **Competitor analysis** — track a brand's full posting history, formats, and engagement over time - **Influencer vetting** — measure real engagement rates and posting cadence before a partnership - **Content strategy** — analyse a creator's top-performing posts to learn what hooks, formats, and audio drive engagement - **Reels research** — pull a profile's Reels feed to study viral short-form trends - **Brand monitoring** — archive a profile's posts and media for compliance or reporting - **Dataset building** — feed structured post data into dashboards, spreadsheets, or your own models ### How to use 1. Enter the Instagram username — with or without `@` (e.g. `natgeo` or `@nasa`) 2. Choose **All Posts** (the full profile grid) or **Reels Only** 3. Set **Max Posts** — default 100 per run, or 0 for unlimited (will stop ~60s before the actor timeout) 4. Run the actor — results appear in the **Dataset** tab 5. To fetch the next page, copy `NEXT_PAGE_ID` from the **Key-value store** tab and paste it into **Page ID** on the next run ### Output format Each dataset record: ```json { "postId": "3911553209440553542", "shortcode": "DZIoOtwvkpG", "postUrl": "https://www.instagram.com/reel/DZIoOtwvkpG/", "mediaType": "video", "productType": "clips", "takenAt": "2026-06-03T19:05:54.000Z", "takenAtTimestamp": 1780513554, "caption": "Behind the scenes of our latest shoot. #photography", "hashtags": ["photography"], "mentions": [], "likeCount": 18432, "commentCount": 204, "viewCount": 512033, "playCount": 512033, "videoDuration": 31.5, "isPaidPartnership": false, "thumbnailUrl": "https://scontent.cdninstagram.com/...", "videoUrl": "https://scontent.cdninstagram.com/...", "authorId": "25025320", "authorUsername": "instagram", "authorFullName": "Instagram", "authorProfilePicUrl": "https://scontent.cdninstagram.com/...", "authorIsVerified": true, "authorIsPrivate": false, "locationName": null, "locationCity": null } ```` ### Pagination Each run returns up to **Max Posts** records. For profiles with large back catalogues, use the pagination cursor to collect more across multiple runs: 1. Run the actor — when it finishes, `NEXT_PAGE_ID` is saved in the **Key-value store** tab 2. Copy the `NEXT_PAGE_ID` value 3. Start a new run with the same username and paste it into the **Page ID** field 4. Repeat until `NEXT_PAGE_ID` is `null` (profile fully exhausted) If a single run reaches the actor timeout, the cursor still gets written before the run ends so you can resume on the next run. ### Related Instagram actors Part of a complete Instagram scraping toolkit — explore the rest of the suite: - [Instagram Profile Scraper](https://apify.com/seemuapps/instagram-profile-scraper) — Profile metadata for any public account - [Instagram Post Details Scraper](https://apify.com/seemuapps/instagram-post-details-scraper) — Full details for any post or Reel by URL - [Instagram Comments Scraper](https://apify.com/seemuapps/instagram-comments-scraper) — All comments on a post or Reel - [Instagram Post Likers Scraper](https://apify.com/seemuapps/instagram-post-likers-scraper) — Users who liked a post or Reel - [Instagram Followers Scraper](https://apify.com/seemuapps/instagram-followers-scraper) — Followers and following lists - [Instagram Hashtag Scraper](https://apify.com/seemuapps/instagram-hashtag-scraper) — Top posts and Reels for any hashtag - [Instagram Location Posts Scraper](https://apify.com/seemuapps/instagram-location-posts-scraper) — Posts tagged at any location - [Instagram Tagged Posts Scraper](https://apify.com/seemuapps/instagram-tagged-posts-scraper) — Posts a profile is tagged in - [Instagram Reels Search Scraper](https://apify.com/seemuapps/instagram-reels-search-scraper) — Find Reels by keyword - [Instagram User Search Scraper](https://apify.com/seemuapps/instagram-user-search-scraper) — Discover accounts by keyword - [Instagram Related Profiles Scraper](https://apify.com/seemuapps/instagram-related-profiles-scraper) — Find similar/suggested profiles - [Instagram Story Scraper](https://apify.com/seemuapps/instagram-story-scraper) — Active stories for any profile - [Instagram Highlights Scraper](https://apify.com/seemuapps/instagram-highlights-scraper) — Highlights and their stories - [Instagram Email & Phone Scraper](https://apify.com/seemuapps/instagram-contact-scraper) — Emails and phone numbers from profiles - [Instagram Influencer Analytics Scraper](https://apify.com/seemuapps/instagram-influencer-analytics-scraper) — Engagement rate and creator analytics - [Instagram MCP Server](https://apify.com/seemuapps/instagram-mcp) — All Instagram tools for AI agents via MCP # Actor input Schema ## `username` (type: `string`): Instagram username to scrape posts from (with or without @), e.g. natgeo or @nasa. ## `mode` (type: `string`): Which feed to scrape. 'All Posts' returns the full profile grid. 'Reels Only' returns just the Reels tab. ## `maxItems` (type: `integer`): Maximum number of posts to scrape. Set 0 for unlimited (caps at platform timeout). ## `pageId` (type: `string`): Optional. Paste NEXT\_PAGE\_ID from the previous run's Key-value store to fetch the next page. ## Actor input object example ```json { "username": "natgeo", "mode": "all", "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): Each record contains postId, shortcode, postUrl, mediaType, productType, takenAt, caption, hashtags, mentions, likeCount, commentCount, viewCount, playCount, videoDuration, isPaidPartnership, thumbnailUrl, videoUrl, and author fields (authorUsername, authorFullName, authorIsVerified, authorProfilePicUrl), plus locationName and locationCity when available. ## `nextPageId` (type: `string`): NEXT\_PAGE\_ID record in the default key-value store. Paste into Page ID on the next run to resume; null when the profile is fully exhausted. # 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 = { "username": "natgeo" }; // Run the Actor and wait for it to finish const run = await client.actor("seemuapps/instagram-posts-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 = { "username": "natgeo" } # Run the Actor and wait for it to finish run = client.actor("seemuapps/instagram-posts-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 '{ "username": "natgeo" }' | apify call seemuapps/instagram-posts-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=seemuapps/instagram-posts-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Posts & Reels Scraper", "description": "Scrape all posts and Reels from any public Instagram profile — captions, like, comment and view counts, hashtags, media URLs, and author details.", "version": "1.0", "x-build-id": "swKJ4bCieTFgMUO7G" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/seemuapps~instagram-posts-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-seemuapps-instagram-posts-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/seemuapps~instagram-posts-scraper/runs": { "post": { "operationId": "runs-sync-seemuapps-instagram-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/seemuapps~instagram-posts-scraper/run-sync": { "post": { "operationId": "run-sync-seemuapps-instagram-posts-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "username" ], "properties": { "username": { "title": "Username", "type": "string", "description": "Instagram username to scrape posts from (with or without @), e.g. natgeo or @nasa." }, "mode": { "title": "Content Type", "enum": [ "all", "reels" ], "type": "string", "description": "Which feed to scrape. 'All Posts' returns the full profile grid. 'Reels Only' returns just the Reels tab.", "default": "all" }, "maxItems": { "title": "Max Posts", "minimum": 0, "type": "integer", "description": "Maximum number of posts to scrape. Set 0 for unlimited (caps at platform timeout).", "default": 100 }, "pageId": { "title": "Page ID (pagination)", "type": "string", "description": "Optional. Paste NEXT_PAGE_ID from the previous run's Key-value store to fetch the next page." } } }, "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 } } } } } } } } } } ```