Instagram Profile Scraper

Overview

This Apify actor scrapes public data from Instagram profiles. It automates the extraction of profile details, posts, and engagement metrics, outputting structured data for analysis or integration. It's designed for developers and analysts who need reliable, scalable Instagram data collection without manual effort.

Key Features

• Extracts comprehensive profile data: Username, full name, bio, profile picture URL, external link, follower/following counts, and approximate join date.
• Captures post details: Includes captions, hashtags, like counts, and comment counts for profile posts.
• Flexible input: Accepts Instagram usernames or direct profile URLs.
• Structured output: Provides clean data in JSON or CSV format, ready for databases or analytics tools.
• Scalable execution: Handles scraping for multiple profiles efficiently.
• Privacy-compliant: Only accesses publicly available data.

How to Use

1. Locate the Actor: Find "Instagram Profile Scraper" in the Apify Store.
2. Configure Input: In the actor's input, provide the target Instagram profile URLs or usernames using the startUrls field.
3. Set Run Preferences: Select your preferred output format (JSON, CSV, Excel).
4. Start the Run: Execute the actor. It will navigate to the profiles and extract the data.
5. Retrieve Results: Once finished, download the dataset from the run's output.

Input/Output

Input:
The primary input is one or more Instagram profile URLs or usernames.

{
  "startUrls": [
    "https://www.instagram.com/username/",
    { "url": "https://www.instagram.com/another_user/" }
  ]
}

Output:
The actor returns a dataset where each item represents a scraped profile. A typical output item includes:

{
  "username": "john_doe",
  "fullName": "John Doe",
  "bio": "Profile biography text...",
  "externalUrl": "https://example.com",
  "profilePicUrl": "https://scontent.cdninstagram.com/...",
  "followersCount": 15000,
  "followingCount": 450,
  "posts": [
    {
      "caption": "Post caption text...",
      "hashtags": ["#example", "#test"],
      "likesCount": 250,
      "commentsCount": 15
    }
  ],
  "joinDate": "2020-05-01"
}

The full dataset can be downloaded as JSON, CSV, or Excel files directly from the Apify console.