Instagram Mass Uploader

Instagram Mass Uploader

PythonDjangoPlaywrightDolphinPostgreSQL
2025

Challenge

Manual Instagram video uploading is slow, risky, and hard to scale across accounts.

Solution

System automates mass video uploads, simulates human behavior, and manages accounts with real-time web UI.

Results

  • 3-5x faster uploads
  • Multi-account support
  • Advanced anti-detection

Case Study Details

Full breakdown, insights & results

Instagram Mass Uploader: Automated Multi-Account Video Posting

The Challenge

  • Manual Instagram video uploading is slow, risky, and hard to scale across accounts
  • Managing proxies, 2FA, and anti-detection is complex

The Solution

A Python/Django system that:

  • Automates mass video uploads to Instagram via Playwright
  • Simulates human behavior (mouse, delays, anti-detection)
  • Integrates with Dolphin Anty browser and ruCAPTCHA
  • Supports multi-account, proxy, and 2FA management
  • Provides real-time web UI for monitoring and control

Technical Implementation

  • Django: Backend, API, and admin
  • Playwright: Browser automation with human-like simulation
  • Bootstrap: Responsive web UI
  • SQLite/PostgreSQL: Database
  • pillow: Video/image processing

Results

  • 3-5x faster uploads
  • Multi-account and proxy support
  • Advanced anti-detection and security

Key Features

  • Mass video upload to Instagram
  • Human-like automation (mouse, delays)
  • Proxy, 2FA, and email verification
  • Real-time web dashboard
  • Detailed logs and statistics

Technology Stack

  • Python
  • Django
  • Playwright
  • Bootstrap
  • SQLite/PostgreSQL
  • pillow

Future Roadmap

  1. Cloud deployment and scaling
  2. More social platform integrations
  3. Advanced analytics and reporting