Instagram Video Scraper - Lite

Extracts metadata from Instagram video posts and reels without downloading the video files. It's designed for programmatic analysis of video performance, content trends, and technical specifications.

Overview

This actor takes Instagram post URLs and returns structured JSON data containing titles, descriptions, engagement metrics, and technical video details. It uses residential proxies to avoid access restrictions and handles bulk processing. No video content is stored or downloaded, focusing solely on metadata extraction.

Key Features

• Metadata Extraction: Pulls 15+ data points including title, author, description, and upload date.
• Engagement Analytics: Retrieves like counts, comment counts, and view counts.
• Technical Analysis: Provides details for available video formats, including resolution, codec, bitrate, and duration.
• Bulk & Resilient Operation: Processes 1 to 100+ URLs per run and includes automatic retries for failed requests.
• Proxy Support: Configurable residential proxy integration to bypass geo-blocking and IP restrictions.

How to Use

Configure the actor using a JSON input object. The main required parameter is an array of Instagram video URLs.

Input Configuration

{
  "video_urls": [
    { "url": "https://www.instagram.com/reel/ABC123/" },
    { "url": "https://www.instagram.com/p/XYZ456/" }
  ]
}

Input Fields:
* video_urls (Array): List of objects, each containing a url key with a valid Instagram post/reel link.
* proxy (Object): Optional proxy configuration for residential IP access.

Output

The actor returns an array of objects, one for each processed URL. Each object contains the extracted metadata.

Example Output Snippet:

[
  {
    "original_url": "https://www.instagram.com/reel/DI4WihvBwKC/",
    "title": "Video by photoshop",
    "author": "Adobe Photoshop",
    "description": "tiny toggles, BIG changes...",
    "upload_date": "April 25, 2025",
    "comment_count": 9,
    "like_count": 893,
    "videos": [
      {
        "video_index": 1,
        "duration": "20s",
        "resolution": "720x1280",
        "ext": "mp4"
      }
    ]
  }
]

Key Output Fields:
* Core Data: title, author, description, source, thumbnail
* Engagement: like_count, comment_count, view_count
* Temporal: upload_date
* Technical: The videos array contains objects with resolution, duration, and format_id.