# Instagram Post Scraper โœ… No cookies โœ… $1 per 1K (`supreme_coder/instagram-post-scraper`) Actor Scrape instagram posts or reels from user profiles, hashtags, post urls - **URL**: https://apify.com/supreme\_coder/instagram-post-scraper.md - **Developed by:** [Supreme Coder](https://apify.com/supreme_coder) (community) - **Categories:** AI, Social media - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 1,000 posts 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 ## Instagram Posts Scraper ๐Ÿ“ธ โ€” Scrape Instagram Posts, Reels, Hashtags & Search **Extract Instagram posts, reels, photos, videos and carousels at scale โ€” no login, no password, no cookies required.** This Instagram Posts Scraper turns any public **profile, hashtag, keyword search, or post URL** into clean, structured JSON, CSV or Excel data in seconds. Perfect for marketers, researchers, data analysts and developers who need reliable Instagram data without the headache of building and maintaining a scraper. > Scrape Instagram by **username**, **#hashtag**, **search keyword**, or a direct **post / reel link** โ€” and get likes, comments, captions, view counts, media URLs, author details and more. --- ### โœจ What this Instagram scraper does - ๐Ÿง‘โ€๐Ÿš€ **Scrape posts from any public Instagram profile** (e.g. `nasa`) โ€” newest first - #๏ธโƒฃ **Scrape posts by hashtag** (e.g. `#travel`, `#fitness`) - ๐Ÿ”Ž **Scrape posts by search keyword** โ€” just type the words, no URL needed - ๐ŸŽฏ **Scrape a single post or reel** from its URL - ๐Ÿ–ผ๏ธ Handles **photos, videos, reels and carousels (sidecars)** automatically - ๐Ÿ“Š Returns **likes, comments, views, captions, hashtags, mentions, location, tagged users** and direct **media download URLs** - โฑ๏ธ **Date filtering** โ€” only keep posts newer than a date you choose - ๐Ÿ”ข **Limit control** โ€” cap how many posts you pull per source - ๐Ÿ” **No Instagram login or cookies needed** โ€” nothing to configure, no account-ban risk for you --- ### ๐Ÿ’ก Popular use cases | Who | What they use it for | |---|---| | ๐Ÿ“ฃ **Marketers & agencies** | Track competitors, analyse top-performing content, find trending posts in a niche | | ๐Ÿค **Influencer marketing** | Discover creators by hashtag, vet engagement (likes/comments/views) before outreach | | ๐Ÿ“ˆ **Data analysts & researchers** | Build datasets for social-media trend, sentiment and engagement analysis | | ๐Ÿ›๏ธ **E-commerce & brands** | Monitor brand mentions, user-generated content and product hashtags | | ๐Ÿงฒ **Lead generation** | Find and qualify prospects posting about your topic | | ๐Ÿ“ฐ **Journalists & OSINT** | Collect public posts around an event, place or hashtag | --- ### ๐Ÿš€ How to use it (step by step) No coding needed. If you can fill in a form, you can use this scraper. 1. **Click "Try for free" / Start.** 2. **Add your sources.** Paste profile, hashtag or post URLs into **Source URLs**, and/or type plain words into **Search keywords** (add as many as you like). 3. **Set a limit** (optional). Use **Limit per source** to cap how many posts you want from each profile/hashtag/search. 4. **Pick a date** (optional). Use **Scrape until date** to only collect recent posts. 5. **Click "Start".** Watch posts stream into the results table. 6. **Download your data** as **JSON, CSV, Excel, HTML or XML**, or pull it via the API. That's it โ€” your Instagram data is ready to use. ๐ŸŽ‰ --- ### โš™๏ธ Input fields | Field | Type | Emoji | Description | |---|---|---|---| | `urls` | array of text | ๐Ÿ”— | Instagram **profile** (`//`), **post/reel** (`/p//`, `/reel//`), **hashtag** (`/explore/tags//`) or **search** (`/explore/search/keyword/?q=...`) URLs | | `search` | array of text | ๐Ÿ”Ž | **Search keywords** โ€” type a word for a keyword search, or prefix with `#` for a hashtag (e.g. `#nasa`). Add multiple | | `limitPerSource` | number | ๐Ÿ”ข | Max posts to scrape per profile/hashtag/search (leave empty for as many as possible) | | `scrapeUntil` | date | ๐Ÿ“… | Only scrape posts **newer** than this date | | `rawData` | true / false | ๐Ÿงฌ | Advanced: return Instagram's raw post objects instead of the clean output below | > You can provide **`urls`, `search`, or both**. At least one is required. #### ๐Ÿ“ Example input ```json { "urls": [ "https://www.instagram.com/nasa/", "https://www.instagram.com/explore/tags/travel/", "https://www.instagram.com/p/DS82bloETJ0/" ], "search": ["apify", "#webscraping"], "limitPerSource": 50, "scrapeUntil": "2025-01-01" } ```` *** ### ๐Ÿ“ค Output Every post is returned as one clean, ready-to-use record. Export to **JSON, CSV, Excel, HTML or XML**. #### ๐Ÿ“ฆ Sample output ```json { "id": "3800151575931990644", "shortCode": "DS82bloETJ0", "url": "https://www.instagram.com/reel/DS82bloETJ0/", "type": "video", "productType": "clips", "isVideo": true, "caption": "The official FIFA World Cup ball went to space ๐Ÿ›ฐ๏ธ #space #nasa", "hashtags": ["space", "nasa"], "mentions": ["fifa"], "commentsCount": 1328, "likesCount": 27313, "viewCount": 1840221, "videoDuration": 58.0, "timestamp": "2026-01-01T02:14:08.000Z", "displayUrl": "https://instagram.fxyz.fbcdn.net/v/....jpg", "videoUrl": "https://instagram.fxyz.fbcdn.net/o1/v/....mp4", "dimensions": { "width": 720, "height": 1280 }, "isPinned": false, "isPaidPartnership": false, "ownerUsername": "nasa", "ownerId": "528817151", "owner": { "id": "528817151", "username": "nasa", "fullName": "NASA", "isPrivate": false, "isVerified": true, "profilePicUrl": "https://instagram.fxyz.fbcdn.net/v/....jpg" }, "location": { "id": "212999109", "name": "Kennedy Space Center", "slug": null }, "taggedUsers": [{ "username": "fifa", "fullName": "FIFA", "id": "...", "position": [0.5, 0.5] }], "coauthors": [], "childPosts": [], "inputUrl": "https://www.instagram.com/nasa/" } ``` #### ๐Ÿ—‚๏ธ Output fields | Field | Emoji | Description | |---|---|---| | `id` | ๐Ÿ†” | Unique Instagram media ID | | `shortCode` | ๐Ÿ”‘ | Post shortcode (the code in the post URL) | | `url` | ๐Ÿ”— | Direct link to the post or reel | | `type` | ๐Ÿท๏ธ | `image`, `video` or `sidecar` (carousel) | | `productType` | ๐ŸŽฌ | `feed`, `clips` (reel), `igtv`, etc. | | `isVideo` | โ–ถ๏ธ | `true` if the post is a video/reel | | `caption` | ๐Ÿ“ | Full post caption text | | `hashtags` | #๏ธโƒฃ | Hashtags found in the caption | | `mentions` | ๐Ÿ“ฃ | @-mentions found in the caption | | `likesCount` | โค๏ธ | Number of likes | | `commentsCount` | ๐Ÿ’ฌ | Number of comments | | `viewCount` | ๐Ÿ‘๏ธ | Video/reel views (when available) | | `videoDuration` | โฑ๏ธ | Video length in seconds | | `timestamp` | ๐Ÿ•’ | When the post was published (ISO 8601) | | `displayUrl` | ๐Ÿ–ผ๏ธ | Highest-resolution image / thumbnail URL | | `videoUrl` | ๐ŸŽฅ | Direct video file URL (for videos/reels) | | `dimensions` | ๐Ÿ“ | Media width and height in pixels | | `isPinned` | ๐Ÿ“Œ | `true` if pinned to the top of the profile | | `isPaidPartnership` | ๐Ÿค | `true` for sponsored / paid-partnership posts | | `ownerUsername` | ๐Ÿ‘ค | Username of the post author | | `ownerId` | ๐Ÿ†” | Numeric ID of the post author | | `owner` | ๐Ÿง‘ | Author details (name, verified, private, avatar) | | `location` | ๐Ÿ“ | Tagged location (id, name) | | `taggedUsers` | ๐Ÿท๏ธ | People tagged in the media | | `coauthors` | ๐Ÿ‘ฅ | Collaborators on the post | | `childPosts` | ๐Ÿ–ผ๏ธ๐Ÿ–ผ๏ธ | Items inside a carousel (each with its own media URLs) | | `inputUrl` | ๐ŸŒ | The source URL/keyword this post came from | *** ### ๐Ÿ”Œ Using the API Run the scraper programmatically with the [Apify API](https://docs.apify.com/api/v2). Replace `YOUR_TOKEN` with your Apify API token and `USERNAME~instagram-post` with the actor's ID. #### Run and get results in one call (cURL) ```bash curl -X POST "https://api.apify.com/v2/acts/USERNAME~instagram-post/run-sync-get-dataset-items?token=YOUR_TOKEN" \ -H "Content-Type: application/json" \ -d '{ "search": ["#nasa"], "limitPerSource": 50 }' ``` #### Start a run (JavaScript / Apify client) ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_TOKEN' }); const run = await client.actor('USERNAME/instagram-post').call({ urls: ['https://www.instagram.com/nasa/'], search: ['#travel'], limitPerSource: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); console.log(items); ``` #### Start a run (Python / Apify client) ```python from apify_client import ApifyClient client = ApifyClient("YOUR_TOKEN") run = client.actor("USERNAME/instagram-post").call(run_input={ "search": ["apify", "#webscraping"], "limitPerSource": 50, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) ``` ๐Ÿ“š More: [Apify API reference](https://docs.apify.com/api/v2) ยท [API client for JavaScript](https://docs.apify.com/api/client/js/) ยท [API client for Python](https://docs.apify.com/api/client/python/) *** ### โ“ FAQ **Do I need an Instagram account, password or cookies?** No. You only provide the public profiles, hashtags or keywords you want to scrape โ€” authentication is handled for you. **Is it legal to scrape Instagram?** This scraper collects **publicly available** data only. You are responsible for how you use the data and for complying with applicable laws (e.g. GDPR), Instagram's Terms, and not collecting personal data without a lawful basis. When in doubt, consult a lawyer. **How many posts can I scrape?** As many as you like โ€” use `limitPerSource` to control the volume per source. Very large profiles are paginated automatically. **Why did my keyword search return "No posts found"?** Generic multi-word phrases often surface **accounts** rather than posts in Instagram's top results. For post results, prefix your term with `#` (e.g. `#webscraping`) or use a hashtag URL. **Search results aren't in date order โ€” why?** Hashtag/keyword search returns Instagram's **top (ranked)** results, not strictly newest-first. Profile scraping *is* chronological, so use `scrapeUntil` there for precise date filtering. **What export formats are supported?** JSON, CSV, Excel, HTML, XML, plus direct API/webhook access. *** ### ๐Ÿ”Ž Keywords Instagram scraper, Instagram posts scraper, scrape Instagram, Instagram data extractor, Instagram hashtag scraper, Instagram reels scraper, Instagram profile scraper, Instagram search scraper, export Instagram posts to CSV/JSON/Excel, Instagram API alternative, scrape Instagram without login. # Actor input Schema ## `urls` (type: `array`): Supported URLs: Instagram profile URL, post/reel URL, hashtag URL (/explore/tags//), or keyword search URL (/explore/search/keyword/?q=) ## `search` (type: `array`): Search terms to scrape posts for. A plain word does a keyword search; prefix with # for a hashtag search (e.g. "#nasa"). Provide one or more. ## `limitPerSource` (type: `integer`): Limit number of posts scraped per profile URL, leave empty for unlimited ## `scrapeUntil` (type: `string`): Use this field if you want to only scrape posts newer than the given date ## `rawData` (type: `boolean`): Push the scraped data directly to the dataset without any processing and filtering. Useful for retrieving fields not exposed by the default output ## Actor input object example ```json { "urls": [ "https://www.instagram.com/nasa/", "https://www.instagram.com/explore/tags/apify/", "https://www.instagram.com/p/DS82bloETJ0/" ], "search": [ "apify", "#webscraping" ], "limitPerSource": 12, "rawData": false } ``` # 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 = { "urls": [ "https://www.instagram.com/nasa/", "https://www.instagram.com/explore/tags/apify/", "https://www.instagram.com/p/DS82bloETJ0/" ], "search": [ "apify", "#webscraping" ], "limitPerSource": 12 }; // Run the Actor and wait for it to finish const run = await client.actor("supreme_coder/instagram-post-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "urls": [ "https://www.instagram.com/nasa/", "https://www.instagram.com/explore/tags/apify/", "https://www.instagram.com/p/DS82bloETJ0/", ], "search": [ "apify", "#webscraping", ], "limitPerSource": 12, } # Run the Actor and wait for it to finish run = client.actor("supreme_coder/instagram-post-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.instagram.com/nasa/", "https://www.instagram.com/explore/tags/apify/", "https://www.instagram.com/p/DS82bloETJ0/" ], "search": [ "apify", "#webscraping" ], "limitPerSource": 12 }' | apify call supreme_coder/instagram-post-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=supreme_coder/instagram-post-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Post Scraper โœ… No cookies โœ… $1 per 1K", "description": "Scrape instagram posts or reels from user profiles, hashtags, post urls", "version": "1.0", "x-build-id": "yGQD9PVSq9f2cwZwb" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/supreme_coder~instagram-post-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-supreme_coder-instagram-post-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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/supreme_coder~instagram-post-scraper/runs": { "post": { "operationId": "runs-sync-supreme_coder-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/supreme_coder~instagram-post-scraper/run-sync": { "post": { "operationId": "run-sync-supreme_coder-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", "properties": { "urls": { "title": "Source URLs", "type": "array", "description": "Supported URLs: Instagram profile URL, post/reel URL, hashtag URL (/explore/tags//), or keyword search URL (/explore/search/keyword/?q=)", "items": { "type": "string" } }, "search": { "title": "Search keywords", "type": "array", "description": "Search terms to scrape posts for. A plain word does a keyword search; prefix with # for a hashtag search (e.g. \"#nasa\"). Provide one or more.", "items": { "type": "string" } }, "limitPerSource": { "title": "Limit per source", "type": "integer", "description": "Limit number of posts scraped per profile URL, leave empty for unlimited" }, "scrapeUntil": { "title": "Scrape until date", "type": "string", "description": "Use this field if you want to only scrape posts newer than the given date" }, "rawData": { "title": "Get raw data (Advanced)", "type": "boolean", "description": "Push the scraped data directly to the dataset without any processing and filtering. Useful for retrieving fields not exposed by the default output", "default": false } } }, "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 } } } } } } } } } } ```