# Instagram Profile Posts & Reels Scraper · No Login (`data-slayer/instagram-posts`) Actor Scrape all posts from any Instagram profile — no login. Get likes, comments, shares, captions with parsed hashtags & mentions, tagged users, collaborators, carousel media, video URLs, and timestamps. 107 fields per post including a 24-field creator profile. JSON/CSV/Excel. - **URL**: https://apify.com/data-slayer/instagram-posts.md - **Developed by:** [Data Slayer](https://apify.com/data-slayer) (community) - **Categories:** Social media, Developer tools, Automation - **Stats:** 147 total users, 58 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $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. 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 Profile Posts & Reels Scraper · No Login Scrape every post from any public Instagram profile — images, carousels, Reels, and videos — with 107 data fields per post. Get full engagement metrics, pre-parsed captions, tagged users, collaborators, and direct media URLs. No login required. ### What You Get Every post in the output includes 107 fields. Here's what matters most: #### Engagement metrics | Field | Description | |---|---| | `like_count` | Total likes | | `comment_count` | Total comments | | `share_count` | Total shares / sends | | `play_count` | Video/Reel views (when applicable) | #### Content data | Field | Description | |---|---| | `caption.text` | Full caption text | | `caption.hashtags` | Pre-parsed array of all hashtags | | `caption.mentions` | Pre-parsed array of all @mentions | | `carousel_media` | Array of all images/videos in carousel posts | | `image_versions.items` | Image URLs at multiple resolutions | | `video_url` | Direct video file URL | | `thumbnail_url` | Post thumbnail | | `is_video` | Boolean — video or image | | `media_type` | 1=image, 2=video, 8=carousel | | `taken_at_date` | Human-readable post date | #### Tagged users & collaborators | Field | Description | |---|---| | `tagged_users` | Users tagged in the image (with username, name, verified status) | | `coauthor_producers` | Collaboration partners on the post | #### Creator profile (24 fields per post) | Field | Description | |---|---| | `user.username` | Profile handle | | `user.full_name` | Display name | | `user.is_verified` | Blue check status | | `user.profile_pic_url` | Profile picture URL | #### Location (when tagged) | Field | Description | |---|---| | `location.name` | Tagged location name | | `location.lat` / `location.lng` | GPS coordinates | | `location.address` | Street address | ### What Makes This Different | | This Actor | Apify Post Scraper | Lowcost Scraper | ParseForge | |---|---|---|---|---| | **Total fields per post** | **107** | ~40 | ~25 | ~25 | | **Share count** | ✅ | ❌ (not yet) | ❌ | ❌ | | **Pre-parsed hashtags & mentions** | ✅ arrays | Raw text | Raw text | Raw text | | **Tagged users with profiles** | ✅ (full objects) | Names only | ❌ | Names only | | **Collaborators / co-authors** | ✅ | ❌ | ❌ | ❌ | | **Carousel media (full array)** | ✅ | Partial | Partial | ✅ | | **Creator profile depth** | 24 fields | ~8 fields | ~5 fields | ~8 fields | | **Login required** | **No** | No | No | No | | **Price** | **$2.50/1K** | $2.70/1K | $0.30/1K | $2.00/1K | **The difference is data depth.** Cheaper scrapers return 25–40 fields with raw caption text. This actor returns 107 fields with pre-parsed hashtags, full tagged-user profiles, collaborator data, and share counts. If you need to analyze content strategy (not just collect posts), the parsed data saves hours of post-processing. ### 📺 Video Tutorial https://www.youtube.com/watch?v=WY_aPfvIqkE --- ### How It Works **Step 1.** Enter an Instagram username, user ID, or profile URL (e.g., `cristiano` or `https://instagram.com/whoop`). **Step 2.** Click "Start." The actor extracts all posts from that profile with full metadata. **Step 3.** Download as JSON, CSV, or Excel from the Dataset tab. --- ### Sample Output ```json { "id": "3786151211327352732", "code": "DSLHHeBFO-c", "taken_at_date": "2025-12-12T18:33:41+00:00", "like_count": 502341, "comment_count": 6294, "share_count": 3928, "caption": { "text": "Wherever you play, these bands keep you ready for every moment. 👀👇", "hashtags": [], "mentions": [] }, "user": { "username": "whoop", "full_name": "WHOOP", "is_verified": true }, "carousel_media_count": 2, "is_video": false, "media_type": 8, "tagged_users": [ { "user": { "username": "cristiano", "full_name": "Cristiano Ronaldo", "is_verified": true } } ], "thumbnail_url": "https://scontent-vie1-1.cdninstagram.com/..." } ```` *** ### Use Cases **Competitor content analysis.** Scrape a competitor's entire post history and analyze what works. Sort by `like_count` or `share_count` to find their best-performing content. Study their `caption.hashtags` to reverse-engineer their hashtag strategy. Compare carousel posts vs. single images vs. Reels by filtering on `media_type`. **Content calendar research.** Extract posts from 5–10 top accounts in your niche. Analyze posting frequency by `taken_at_date`, identify which days and times generate the highest engagement, and map out what content formats (image/video/carousel) each account relies on. **Influencer campaign tracking.** After running an influencer campaign, scrape the influencer's posts to verify deliverables. Check `tagged_users` for brand tags, `coauthor_producers` for collaboration credits, and `caption.mentions` for @mentions. Export the engagement data for ROI reporting. **Hashtag strategy optimization.** Every caption is pre-parsed into `hashtags` and `mentions` arrays. Scrape posts from 20 top accounts in your industry, export to a spreadsheet, and analyze which hashtag combinations correlate with the highest engagement. Build data-driven hashtag strategies. **UGC and brand mention discovery.** Search for posts where your brand is tagged using the `tagged_users` field. Identify organic brand advocates who tag your products without being asked. Cross-reference with our [Instagram Contact & Email Finder](https://apify.com/data-slayer/instagram-user-info-scraper-cookieless) to get their contact details for partnership outreach. **Agency reporting.** Schedule weekly scrapes of client profiles. Track engagement trends over time. Export CSV data directly into your reporting dashboards or Google Sheets for automated client updates. *** ### Key Features **107 fields per post.** The deepest Instagram post dataset on Apify. Includes share counts, parsed hashtags and mentions, full tagged-user profiles, collaborator data, carousel media arrays, and location data. **Pre-parsed captions.** Hashtags and mentions are extracted into separate arrays. No regex or text processing needed. Import directly into analytics tools. **Tagged users and collaborators.** Full user objects for everyone tagged in or collaborating on a post — username, full name, verification status, and profile picture. **No login, no cookies.** Access public profile posts without any authentication. **Export-ready.** JSON, CSV, and Excel. Integrates with Make, Zapier, n8n, Clay, Google Sheets, and any CRM. *** ### Integrations & Workflows - **Google Sheets** → Export CSV for team analysis and trend tracking - **Make / Zapier / n8n** → Schedule weekly competitor post scraping → track engagement trends automatically - **Clay** → Import post data, enrich creator profiles with contact info - **Apify API** → Automate scraping and pipe results into your own analytics platform **Workflow example:** Scrape a competitor's posts → sort by shares → find their viral content → analyze what worked → apply the winning format to your own content. **Cross-actor workflow:** Scrape a brand's posts → extract `tagged_users` → run those usernames through [Instagram Contact & Email Finder](https://apify.com/data-slayer/instagram-user-info-scraper-cookieless) → build an influencer partnership list from people already tagging the brand organically. *** ### FAQ **How many posts can I scrape per profile?** The actor extracts all publicly visible posts from a profile. For accounts with thousands of posts, it paginates automatically. **Does it scrape Reels too?** Yes. Reels posted to the profile feed are included with full engagement metrics including `play_count`. For keyword-based Reel discovery, use our [Instagram Reels Search](https://apify.com/data-slayer/instagram-search-reels) actor. **What's the difference between this and cheaper post scrapers?** Cheaper scrapers ($0.30–$1/1K) return 25–40 fields with raw caption text. This actor returns 107 fields with pre-parsed hashtags/mentions, full tagged-user profiles, collaborator objects, and share counts. If you need to analyze content — not just collect it — the structured data saves hours of cleanup. **Are hashtags and mentions pre-parsed?** Yes. `caption.hashtags` and `caption.mentions` are separate arrays. No regex needed. **Can I filter by date or post type?** The actor returns all posts from the profile. Filter by `taken_at_date`, `media_type`, or any other field after export. *** ### 🧩 Other Instagram Actors by Data Slayer | Actor | What it does | Link | |---|---|---| | Instagram Contact & Email Finder | Extract emails, phones, websites from profiles | [Try it →](https://apify.com/data-slayer/instagram-user-info-scraper-cookieless) | | Instagram Reels Search | Discover trending Reels by keyword | [Try it →](https://apify.com/data-slayer/instagram-search-reels) | | Instagram Comments Extractor | Comments with engagement intelligence | [Try it →](https://apify.com/data-slayer/instagram-comments-scraper-no-login-required) | | Instagram Followers Scraper | Extract follower lists from any account | [Try it →](https://apify.com/data-slayer/instagram-followers-scraper---no-login) | | Instagram Following Scraper | See who any account follows | [Try it →](https://apify.com/data-slayer/instagram-following) | | Instagram Likes Scraper | Extract users who liked any post | [Try it →](https://apify.com/data-slayer/instagram-likes) | | Instagram User Search | Search Instagram users by keyword | [Try it →](https://apify.com/data-slayer/instagram-search-users) | | Instagram Location Posts | Extract posts from any location | [Try it →](https://apify.com/data-slayer/instagram-location-posts) | **Need verified emails from LinkedIn?** Our [LinkedIn Post Engagers Email Finder](https://apify.com/data-slayer/linkedin-post-to-verified-leads) and [LinkedIn Audience Email Finder](https://apify.com/data-slayer/linkedin-influencer-audience-to-verified-leads) extract verified work emails from LinkedIn engagement data. *** ### 💬 Feedback & Support We actively maintain this actor and ship improvements weekly. Open an issue on the **Issues tab** or leave a rating. We respond within 24 hours. # Actor input Schema ## `username` (type: `string`): Instagram username, user ID, or profile URL ## `maxPages` (type: `integer`): Maximum number of pages to fetch (pagination handled automatically) ## Actor input object example ```json { "username": "cristiano", "maxPages": 1 } ``` # 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("data-slayer/instagram-posts").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("data-slayer/instagram-posts").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 data-slayer/instagram-posts --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=data-slayer/instagram-posts", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Instagram Profile Posts & Reels Scraper · No Login", "description": "Scrape all posts from any Instagram profile — no login. Get likes, comments, shares, captions with parsed hashtags & mentions, tagged users, collaborators, carousel media, video URLs, and timestamps. 107 fields per post including a 24-field creator profile. JSON/CSV/Excel.", "version": "1.0", "x-build-id": "GvSWSV9CN75bn4WV5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/data-slayer~instagram-posts/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-data-slayer-instagram-posts", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/data-slayer~instagram-posts/runs": { "post": { "operationId": "runs-sync-data-slayer-instagram-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/data-slayer~instagram-posts/run-sync": { "post": { "operationId": "run-sync-data-slayer-instagram-posts", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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, user ID, or profile URL", "default": "cristiano" }, "maxPages": { "title": "Maximum Pages", "minimum": 1, "maximum": 100, "type": "integer", "description": "Maximum number of pages to fetch (pagination handled automatically)", "default": 1 } } }, "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 } } } } } } } } } } ```