Instagram Profile Scraper

Scrape full Instagram profile information automatically. Just input Instagram usernames, account IDs, or profile URLs to extract comprehensive metrics including full name, join date, number of followers & following, location, bio, external website URL, related profiles, video & post counts, and latest posts.

Export scraped profile datasets in JSON, CSV, Excel, HTML, or XML formats, schedule automatic runs via the Apify API, and seamlessly integrate with AI workflows, CRM pipelines, and lead generation systems.

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🌟 Key Features

• 👤 Complete Profile Intelligence: Extract name, bio, profile avatar, verified badge, and account privacy status.
• 📅 Account Metadata & History: Access approximate join date, registered location, and account website.
• 📊 Audience & Activity Metrics: Get exact follower counts, following count, total post count, and total video/reel count.
• 🔗 Related Profiles Discovery: Scrape recommended and related Instagram profile handles for audience overlap analysis.
• 📸 Latest Posts Extraction: Retrieve recent post items per profile including shortcodes, URLs, captions, likes, comments, and video view counts.
• ⚡ Dynamic Output Datasets: Real-time structured data output formatted dynamically according to your input parameters.
• 🔄 API & Automation Ready: Trigger via REST API, Webhooks, Python, JavaScript, or Zapier/Make integrations.

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📥 Input Parameters

Parameter	Type	Default	Description
usernames	array	["instagram", "zuck"]	List of Instagram handles or usernames to scrape.
directUrls	array	["https://www.instagram.com/instagram/"]	List of direct Instagram profile links or URLs.
resultsLimit	integer	20	Maximum number of profile records to extract.
includeLatestPosts	boolean	true	Include recent published posts per profile.
latestPostsLimit	integer	5	Number of recent posts to include per profile.
proxyConfiguration	object	{ "useApifyProxy": true }	Proxy configuration settings for residential or datacenter IP routing.
debugLog	boolean	false	Enable verbose logging for debugging.

Example Input (input.json)

{
  "usernames": [
    "instagram",
    "zuck",
    "cristiano"
  ],
  "directUrls": [
    "https://www.instagram.com/leomessi/"
  ],
  "resultsLimit": 10,
  "includeLatestPosts": true,
  "latestPostsLimit": 5,
  "proxyConfiguration": {
    "useApifyProxy": true
  },
  "debugLog": false
}

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📤 Output Data Format

Each item in the dataset represents a single extracted Instagram profile.

{
  "id": "user_19827394",
  "username": "zuck",
  "fullName": "Mark Zuckerberg",
  "url": "https://www.instagram.com/zuck/",
  "biography": "Official Instagram profile for Mark Zuckerberg. Creator, innovator, and storyteller. 📸 ✨",
  "externalUrl": "https://zuck.com",
  "followersCount": 14250000,
  "followsCount": 620,
  "postsCount": 890,
  "videoCount": 210,
  "joinDate": "Oct 2012",
  "location": "Palo Alto, CA",
  "isVerified": true,
  "isPrivate": false,
  "profilePicUrl": "https://instagram.com/zuck/avatar.jpg",
  "hdProfilePicUrl": "https://instagram.com/zuck/avatar_hd.jpg",
  "relatedProfiles": [
    {
      "username": "creator_zuck",
      "fullName": "CREATOR ZUCK",
      "url": "https://www.instagram.com/creator_zuck/",
      "isVerified": true,
      "profilePicUrl": "https://instagram.com/creator_zuck/avatar.jpg"
    }
  ],
  "latestPosts": [
    {
      "id": "post_C9K8X2M",
      "shortCode": "C9K8X2M",
      "url": "https://www.instagram.com/p/C9K8X2M/",
      "type": "Reel",
      "caption": "Latest update from @zuck #zuck #palo",
      "likesCount": 420000,
      "commentsCount": 18200,
      "videoViewCount": 1680000,
      "displayUrl": "https://instagram.com/p/C9K8X2M/media_1.jpg",
      "timestamp": "2026-08-03T10:00:00.000Z"
    }
  ],
  "scrapedAt": "2026-08-06T15:10:00.000Z"
}

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⏰ Scheduling & API Integration

You can trigger the scraper programmatically using Apify's API or Webhooks:

Node.js / JavaScript SDK

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });

const run = await client.actor('instagram-profile-scraper').call({
    usernames: ['instagram', 'zuck'],
    resultsLimit: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

Python SDK

from apify_client import ApifyClient

client = ApifyClient('YOUR_APIFY_TOKEN')

run = client.actor('instagram-profile-scraper').call(run_input={
    'usernames': ['instagram', 'zuck'],
    'resultsLimit': 10,
})

for item in client.dataset(run['defaultDatasetId']).iterate_items():
    print(item)

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🤖 AI Workflows & LLM Automation

• Brand & Creator Audit: Feed extracted follower ratios, bios, and engagement stats into LLMs (GPT-4 / Claude / Gemini) for automated influencer vetting.
• Lead Generation & Enrichment: Match Instagram profiles with domain websites (externalUrl) and locations for outreach campaigns.
• Competitor Tracking: Schedule weekly automated runs to monitor changes in follower counts, post frequencies, and related account recommendations.

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💡 Best Practices

• Use Apify Residential Proxies for large-scale profile scraping to bypass geo-blocks and rate limits.
• Set includeLatestPosts: false if you only require profile header information to speed up execution.
• Utilize dataset webhook notifications to automatically push newly scraped profile records to your web server or database.