Instagram Engagers Scraper

This actor is a developer API for extracting structured data about users who engage with Instagram posts—specifically those who like or comment. It's built for precision, returning only the data fields you request, which makes it suitable for integration into analytics pipelines, dashboards, or automated workflows.

Overview

The tool sends a POST request to its endpoint with a list of Instagram post URLs and your scraping preferences. It returns clean, structured JSON data about the engagers (likers or commenters) from those posts. It focuses on publicly available data and is optimized for speed and integration.

Key Features

• Precision Scraping: Request only specific data fields (like comments or likes) to keep payloads minimal and relevant.
• Fast & Lightweight: Optimized for low-latency responses.
• Easy Integration: Works with any language that supports HTTP (Python, JavaScript, etc.).
• Structured Output: Data is returned in a consistent JSON format.
• Privacy-Respecting: Scrapes only publicly accessible Instagram content.

How to Use

1. Send a POST request to the actor's endpoint.
2. In the request body, provide a JSON object specifying the target posts, the type of data to scrape, and a result limit.
3. Receive the structured engagement data in JSON format for immediate use.

Input / Output

Input Example:

{
  "Posts": [
    "https://www.instagram.com/p/DJHhRQzMLWD/"
  ],
  "dataToScrape": "comments",
  "resultsLimit": 50
}

Output Example:
The API returns an array of objects. For a comments request, each object contains details about a comment and the user who posted it.

[
  {
    "type": "comments",
    "link_post": "https://www.instagram.com/p/DJHhRQzMLWD",
    "text": "️",
    "link_user": "https://www.instagram.com/loewensweets",
    "user.username": "loewensweets",
    "user.full_name": "Löwensweets Mathias Malsch Yoganaschschwerk© .",
    "user.id": "21275061902",
    "user.is_verified": true
    // ... additional fields like comment timestamp, user profile pic, etc.
  }
]

Ideal Use Cases

• Social media analytics and brand monitoring.
• Influencer research and audience analysis.
• Trend discovery and marketing intelligence.
• Feeding cleaned engagement data into internal tools or databases.