Instagram Content & Profile Scraper

Instagram Scraper

What is an Instagram Scraper?

A unified Instagram scraper designed to extract publicly available data from Instagram through multiple input methods. With CoreClaw, you can pull posts, profile details, comments, reels, and mentions from Instagram URLs or keyword searches with zero code, empowering social media research, influencer analysis, content monitoring, and competitive intelligence.

• ✅ Multi-Source Input — Scrape from profile URLs, post URLs, hashtags, locations, or keyword searches
• ✅ Multi-Result Types — Get posts, profile details, comments, reels, or mentions from any source
• ✅ Real-Time Results — Every request pulls live data directly from Instagram servers
• ✅ Public Data Only — No login required; works entirely through Instagram's public web endpoints
• ✅ Structured Output — Export results in JSON, CSV, JSONL, XLS, XLSX, HTML Table, XML, and RSS
• ✅ Flexible Configuration — Adjustable result limits, date filters, concurrency, and timeout settings
• ✅ Comment Enrichment — Fetch latest comments with author info, likes, and reply counts per post
• ✅ Parent Data Tracking — Label each result with its source profile, hashtag, or location

What Data Can You Extract?

Data Category Details

• Profile Data: Username, full name, biography, external links, follower/following counts, verification status, business account flag, profile pictures, post counts, IGTV videos, related profiles
• Post/Reel Data: Media type (Image/Video/Sidecar), shortcode, URL, caption, hashtags, mentions, dimensions, display URLs, video URLs, like/view/play counts, timestamp, product type, sponsorship status, tagged users, music/audio info, location, pinned status
• Comments: Comment text, author username, likes count, profile picture, position, replies count, reply list, owner verification status
• Hashtag & Place Data: Name, top posts, latest posts, post/media count, coordinates (for places), address components, website, phone
• Search Results: Resolved hashtags, profiles, or places from keyword search with query tracking
• Execution Metadata: Source URL, success status, error/warning messages, degraded flag, missing fields list

See the Output section below for the complete field reference.

How to Use the Instagram Scraper?

CoreClaw Instagram Scraper handles request scheduling, data extraction, and result delivery for you in the background. In just a few minutes, you can scrape Instagram data by following these steps:

1. Create a free CoreClaw account using your email
2. Open the Instagram Scraper control panel
3. Choose your input method — Direct URLs or Search by keyword
4. Select your results type — Posts, Details, Comments, Reels, or Mentions
5. Configure parameters (result limits, date filters, concurrency, etc.)
6. Click "Start" and let our cloud servers handle the scraping process
7. Download the results in your preferred format (JSON, CSV, JSONL, XLS, XLSX, HTML Table, XML, RSS)

➡️ Input

Key Parameter Descriptions

Usage Examples

Example 1: Scrape Profile Posts

• Direct URLs: https://www.instagram.com/nasa/
• Results Type: posts
• Results Limit: 20
• Result: Returns up to 20 latest posts from NASA's profile

Example 2: Scrape Post Comments

• Direct URLs: https://www.instagram.com/p/C8m4hKqMx3a/
• Results Type: comments
• Results Limit: 50
• Result: Returns up to 50 comments from the post with author info and likes

Example 3: Search Hashtags

• Search: travel
• Search Type: hashtag
• Results Type: posts
• Search Limit: 5
• Results Limit: 20
• Result: Resolves "travel" to top 5 hashtags, then returns up to 20 posts per hashtag

Example 4: Scrape Profile Details

• Direct URLs: https://www.instagram.com/nasa/
• Results Type: details
• Result: Returns NASA's profile metadata (bio, followers, posts count, etc.)

Example 5: Filter by Date

• Direct URLs: https://www.instagram.com/nasa/
• Results Type: posts
• Only Posts Newer Than: 2026-01-01
• Result: Returns only posts published on or after January 1, 2026

⬅️ Output

For your convenience, output results are displayed in tables and tabs. You can choose to download the results in your preferred format.

Data Field Groups

Complete Field Reference

Example Data

Post record:

{
    "type": "Image",
    "dataSource": null,
    "id": "3401234567890123456",
    "shortCode": "C8m4hKqMx3a",
    "url": "https://www.instagram.com/p/C8m4hKqMx3a/",
    "inputUrl": "https://www.instagram.com/nasa/",
    "caption": "A new view of the cosmos. #nasa #space",
    "hashtags": ["nasa", "space"],
    "mentions": [],
    "commentsCount": 1834,
    "firstComment": "Incredible!",
    "latestComments": [
        {
            "ownerUsername": "astro_fan",
            "text": "Incredible!",
            "likesCount": 12,
            "ownerProfilePicUrl": "https://..."
        }
    ],
    "dimensionsHeight": 1080,
    "dimensionsWidth": 1080,
    "displayUrl": "https://instagram.fxxx.fna.fbcdn.net/v/....jpg",
    "images": ["https://instagram.fxxx.fna.fbcdn.net/v/....jpg"],
    "videoUrl": null,
    "alt": "Photo by NASA",
    "likesCount": 245013,
    "videoViewCount": null,
    "videoPlayCount": null,
    "timestamp": "2024-06-18T15:04:22.000Z",
    "childPosts": [],
    "ownerFullName": "NASA",
    "ownerUsername": "nasa",
    "ownerId": "528817151",
    "ownerProfilePicUrl": "https://instagram.fxxx.fna.fbcdn.net/v/....jpg",
    "productType": "feed",
    "isSponsored": false,
    "taggedUsers": [],
    "musicInfo": null,
    "locationName": null,
    "locationId": null,
    "sourceType": "profile",
    "success": true,
    "error": null,
    "error_code": null,
    "warning": null,
    "warning_code": null
}

Frequently Asked Questions

What data can this Instagram scraper obtain?

This tool can extract various publicly available Instagram data types including: posts, profile details, comments, reels, and mentions. Data covers post metadata (caption, hashtags, media URLs, engagement counts), profile information (bio, followers, verification status), comments (author, text, likes, replies), and hashtag/place metadata (top posts, coordinates, contact info).

What formats are supported for exporting scraping results?

CoreClaw supports 8 export formats to fit your workflow:

Recommendation: Use JSON for data pipelines, CSV/XLSX for manual analysis, and JSONL for streaming large datasets.

Is the scraped data real-time?

Yes, the data obtained by this tool is 100% real-time and up-to-date. Each scraping request directly pulls the latest public data from Instagram servers. However, note that hashtag and place results are inherently non-deterministic — "top" and "recent" sections change between calls and across proxy regions.

Do I need to log in to Instagram?

No. This scraper works entirely through Instagram's public web endpoints and does not require login credentials. It only accesses publicly available data. Note that stories need a logged-in session and are not supported.

What input methods are supported?

You can provide data in two ways:

• Direct URLs: Profile (/<username>/), Post (/p/<code>/), Reel (/reel/<code>/), Hashtag (/explore/tags/<tag>/), or Location (/explore/locations/<id>/)
• Search by keyword: Enter a keyword and select search type (hashtag, profile, or place) — the system resolves the keyword to matching targets and scrapes each

What results types can I get?

How does the concurrency setting affect performance?

• Default: 6 concurrent requests — balances speed and reliability
• Higher values: Faster scraping but may overload proxies and cause empty responses or 403 errors
• Lower values: More stable but slower; recommended if you see frequent empty responses
• Each post is a separate request, so very high concurrency can exhaust proxy connection pools

What are the common use cases?

• Influencer Analysis — Track follower counts, engagement rates, and content strategy across profiles
• Brand Monitoring — Monitor hashtag performance, brand mentions, and competitor activity
• Content Research — Study trending hashtags, popular content formats, and audience behavior
• Lead Generation — Extract business profiles, contact info, and location data
• Market Research — Analyze product launches, promotional campaigns, and customer sentiment
• Social Listening — Aggregate comments and mentions for sentiment analysis