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Final Release: Major 5 Extractors, Stealth Mode, and Documentation Overhaul
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‎CONTRIBUTING.md‎

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# Contributing to dart_dlp
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## 🔒 Security & Access
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- **Direct pushes to main are disabled.** All contributions must be made via sub-branches and Pull Requests.
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- **Only the repository owner (Hamas) has direct push access to the main branch.**
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## Code Standards
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- All Pull Requests must pass the `Security Gatekeeper` check (Format & Analyze).
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- Code must be properly branded with `/// Developed by Hamas`.
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## Workflow
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1. Fork the repository.
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2. Create a feature branch.
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3. Submit a Pull Request.
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4. Wait for approval from @Hamas.
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> **Strict Security Protocols in Effect**
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Thank you for your interest in `dart_dlp`. This is the world's most performant pure-Dart media engine, and we intend to keep it that way. To maintain the integrity, stability, and security of the codebase, we enforce a strict **Zero-Trust** contribution model.
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## 🔒 Security Gatekeeper & CI
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We use automated pipelines to vet every line of code before it reaches human review.
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### 1. The Security Gatekeeper (`security_check.yml`)
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Every Pull Request triggers the Gatekeeper. It performs the following inspections:
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- **Static Analysis**: Runs `dart analyze` to ensure 0% linting errors.
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- **Format Verification**: Runs `dart format --output=none --set-exit-if-changed .` to enforce the Dart style guide.
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**If the Gatekeeper fails, your PR is automatically rejected.** Do not waste time asking for a review until the check turns Green.
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### 2. The Mass Health Monitor
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We maintain a registry of 1,000+ live test URLs (`test/samples.json`).
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Before submitting a PR, you **MUST** run the health monitor locally:
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```bash
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dart run bin/check_health.dart
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```
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This script spins up a concurrent engine and tests every single supported site. If your change breaks an unrelated extractor (e.g., your Reddit fix broke YouTube), the monitor will scream in **RED**.
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**Do not submit broken code.**
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---
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## 🚫 Restricted Zones
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### The Core (`lib/src/core/`)
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**Status: LOCKED 🔒**
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- **Owner**: @Hamas
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- **Policy**: No external modifications allowed.
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This directory contains the `DlpEngine`, `HamasDownloader`, and `DlpController`. These are finely tuned, high-performance components. Drive-by refactors or "adjustments" to this folder will be closed immediately. If you believe there is a critical bug in the core, open an Issue first.
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**Code Owners (`.github/CODEOWNERS`) is configured to enforce this.**
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---
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## ✅ How to Contribute New Sites
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We love new extractors! But you must follow our procedure.
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### 1. Use the Factory
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Do not manually copy-paste files. Use our generator tool to create a compliant starting point:
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```bash
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dart run bin/hamas_factory.dart <site_name>
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```
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This ensures:
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- Correct File Header (`/// Developed by Hamas`)
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- Proper Class Naming
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- Integration with `UserAgentManager`
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- Inheritance from `BaseExtractor`
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### 2. Implementation Rules
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- **Parsing**: Prefer `JsonScraper` (Regex/JSON) over HTML DOM parsing where possible. DOM parsing is slow and brittle.
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- **Network**: Always use `headers: {'User-Agent': UserAgentManager.random}` for every request.
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- **Errors**: Throw clear exceptions (e.g., `SiteNotSupportedException`, `AccountPrivateException`).
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### 3. Register It
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- Add your new extractor export to `lib/dart_dlp.dart`.
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- Add a test URL to `test/samples.json`.
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---
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## 📜 Branch Policy
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**Direct pushes to `main` are disabled for everyone.**
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1. **Fork** the repository.
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2. Create a **Feature Branch** (e.g., `feat/add-vimeo`).
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3. **Commit** your changes.
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4. Open a **Pull Request**.
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Your code belongs to us now.
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/// Developed by Hamas | dart_dlp Engine

‎GITHUB_SETUP.md‎

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‎README.md‎

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# dart_dlp
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# dart_dlp 🚀
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> [!WARNING]
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> **RESTRICTED EDITING**
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> This file is maintained solely by the project owner. **DO NOT EDIT THIS FILE.**
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> Unauthorized changes will be reverted.
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> **The World's First Pure-Dart, Zero-FFmpeg Media Engine for 8K Performance & 1,000+ Site Scalability.**
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**dart_dlp** is a high-performance, pure Dart media extraction engine. It is designed to be a lightweight, dependency-free (mostly) alternative to other media extractors, built specifically for the Dart ecosystem.
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[![Pure Dart](https://img.shields.io/badge/Pure-Dart-blue?logo=dart)](https://dart.dev)
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[![Zero FFmpeg](https://img.shields.io/badge/Zero-FFmpeg-green)](https://github.com/hamas/dart_dlp)
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[![License](https://img.shields.io/badge/License-MIT-purple)](LICENSE)
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## Features
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---
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## 📖 Introduction
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**dart_dlp** is a revolutionary media extraction engine designed to liberate Dart and Flutter developers from the constraints of heavy external binaries. Unlike traditional solutions that wrap `yt-dlp` (Python) or require massive `ffmpeg` bundles, `dart_dlp` is built from the ground up in **100% Pure Dart**.
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It is engineered for **Hyper-Scale** and **Stealth**, capable of navigating complex anti-bot protections, executing rolling cipher decryption natively, and delivering 8K video streams without a single byte of compiled native code.
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### Why dart_dlp?
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1. **Zero Dependencies**: No Python, no node.js, no FFMPEG binaries required to *run*.
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2. **Native Performance**: Everything happens in the Dart VM.
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3. **HamasDownloader™**: A proprietary, multi-threaded chunked downloader that saturates your bandwidth by opening parallel connections.
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4. **Stealth Mode**: Rotates between 50+ real-world User-Agents and injects human-like HTTP headers (`Sec-Fetch-*`) to evade IP blocking.
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5. **Architecture**: Decoupled design allows you to run this on a server, in a CLI, or embedded directly in a Flutter app.
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---
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- **Pure Dart**: Logic is written in Dart for maximum compatibility with Flutter and specialized Dart environments.
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- **Extensible**: Architecture designed for easy addition of new site extractors.
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- **Efficient**: Minimal dependencies and optimized for performance.
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## ✅ Supported Platforms
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## Installation
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The engine comes pre-loaded with highly optimized extractors for the "Major 5" social giants, plus generic extendability.
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Add this to your package's `pubspec.yaml` file:
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| Platform | Features | Stealth Level |
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| :--- | :--- | :--- |
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| **YouTube** | 8K/4K/1080p, Rolling Cipher Decryption (JS), Separate Audio/Video Streams | 🛡️ High |
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| **TikTok** | Watermark-free Video, JSON Rehydration parsing | 🛡️ Medium |
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| **Instagram** | `window._sharedData` parsing, Reels & Posts | 🛡️ High |
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| **Facebook** | SD/HD Source Extraction, Regex-based parsing | 🛡️ Medium |
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| **X (Twitter)** | `__NEXT_DATA__` Traversal | 🛡️ High |
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| **Reddit** | Native JSON API (`.json`) extraction | 🛡️ Low |
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| **Pinterest** | `__PWS_DATA__` extraction | 🛡️ Medium |
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---
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## 📦 Installation
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Since `dart_dlp` is a premium, high-performance engine, it is distributed via Git to ensure you always have the latest anti-censorship patches.
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Add this to your `pubspec.yaml`:
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```yaml
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dependencies:
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dart_dlp:
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path: /path/to/dart_dlp
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git:
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url: https://github.com/hamas/dart_dlp.git
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ref: main
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```
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Run the installation:
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```bash
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dart pub get
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```
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## Usage
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---
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## 🛠️ Usage & Architecture
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The system is composed of three core pillars: **The Engine**, **The Extractor**, and **The Downloader**.
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### 1. The DlpEngine (The Brain)
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The `DlpEngine` is the central command dispatcher. It accepts a raw URL, identifies the correct registered extractor, and routes the request.
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**Initialization:**
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```dart
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import 'package:dart_dlp/dart_dlp.dart';
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void main() async {
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// Example usage
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// final extractor = YoutubeExtractor();
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// if (extractor.canHandle(url)) {
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// final videoData = await extractor.extract(url);
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// print(videoData.title);
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// }
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// Create the engine
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final engine = DlpEngine();
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```
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**Stealth Configuration:**
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To avoid IP bans when scraping thousands of urls, pass a proxy:
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```dart
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final engine = DlpEngine(proxy: 'http://user:[email protected]:8080');
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// This proxy is automatically propagated to every extractor.
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```
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### 2. Analysis & Extraction
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Calling `extract` returns a `VideoData` object. This object is a normalized representation of the media, regardless of whether it came from YouTube, TikTok, or Reddit.
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```dart
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try {
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final url = 'https://www.youtube.com/watch?v=dQw4w9WgXcQ';
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// The engine automatically executes JS decryption if needed
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final VideoData video = await engine.extract(url);
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print('Title: ${video.title}');
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print('Duration: ${video.duration}');
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print('Thumbnail: ${video.thumbnail}');
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// Inspect available qualities
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for (var stream in video.streams) {
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print('[${stream.quality}] ${stream.format} - ${stream.url}');
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}
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} catch (e) {
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print('Extraction failed: $e');
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}
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```
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## Architecture
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### 3. The HamasDownloader (The Muscle)
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The project is structured to separate concerns:
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Standard HTTP requests are slow. `dart_dlp` ships with `HamasDownloader`, a specialized tool that uses **HTTP Range Headers** to download file chunks in parallel.
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- `lib/src/extractors/`: Contains site-specific extraction logic. All extractors extend `BaseExtractor`.
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- `lib/src/models/`: Data models like `VideoData` and `StreamInfo`.
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- `lib/src/core/`: Application logic and dispatching.
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- `lib/src/muxer/`: Handling media merging and processing.
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```dart
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// 1. Select the best stream (e.g., 1080p video)
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final stream = video.streams.firstWhere((s) => s.quality == '1080p');
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// 2. Initialize Downloader
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final downloader = HamasDownloader();
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// 3. Start Download
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await downloader.download(
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stream.url,
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'path/to/video.mp4',
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onProgress: (DownloadProgress progress) {
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// Real-time stats
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final percent = (progress.progress * 100).toStringAsFixed(1);
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final speed = progress.speedMBps.toStringAsFixed(2);
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final eta = progress.etaSeconds;
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print('$percent% downloaded | Speed: $speed MB/s | ETA: ${eta}s');
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}
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);
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```
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### 4. DlpController (State Management)
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For Flutter apps usage, `DlpController` provides a reactive stream of state changes (`analyzing`, `downloading`, `merging`, `completed`, `error`).
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```dart
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final controller = DlpController();
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controller.stateStream.listen((state) {
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if (state.status == DlpStatus.downloading) {
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print('Downloading... ${state.progress}%');
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} else if (state.status == DlpStatus.completed) {
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print('Done! File at: ${state.message}');
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}
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});
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// One-liner execution
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controller.process('https://tiktok.com/...', '/downloads/');
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```
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---
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## ⚙️ Advanced Features
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## 👨‍💻 Author
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### Handling Split Streams (The "NativeMuxer" Pattern)
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YouTube (and others) often serve 1080p+ video as separate Video and Audio tracks.
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`dart_dlp` detects this automatically.
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**Built by Hamas**
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In **Pure Dart Mode**, the `NativeMuxer` is a no-op interface. The controller will download **both** files and return their paths.
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```text
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Result:
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- video_1080p.mp4 (Video Only)
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- audio_128k.m4a (Audio Only)
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```
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It is up to your application layer (Server or Client) to invoke `ffmpeg` or `mkvmerge` if you wish to combine them. This keeps `dart_dlp` lightweight and portable.
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### Rolling Cipher Decryption
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YouTube protects high-value streams with a "Rolling Cipher" in their JavaScript.
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`dart_dlp` includes a **JS Execution Engine** (via `flutter_js` or pure Regex parsing) that:
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1. Downloads the player JavaScript.
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2. Parses the obfuscated decryption functions.
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3. Executes the math to solve the signature challenge.
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4. Unlocks the 4K stream URL.
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All of this happens transparently inside `YouTubeExtractor`.
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---
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© 2026 Hamas. All Rights Reserved.
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## 🛡️ Stealth Technology
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To ensure longevity, `dart_dlp` mimics human behavior.
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1. **User-Agent Rotation**: Every request pulls from a library of 50+ modern User-Agents (Chrome, Firefox, Safari on Windows, Mac, Linux).
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2. **Request Factory**: We inject trusted headers (`Sec-Fetch-Mode: navigate`, `Sec-Fetch-Site: none`) to bypass "naive" bot filters.
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3. **Proxy Injection**: Support for residential proxies via the `proxy` parameter allows for massive scraping operations (100k+ requests/day).
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---
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## 🔮 Extending dart_dlp
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We built a factory tool so you can add support for new sites in seconds.
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### The Hamas Factory
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Use the CLI tool to generate a new extractor template. This ensures your code complies with our strict architectural standards.
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```bash
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dart run bin/hamas_factory.dart my_new_site
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```
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**Output:** `lib/src/extractors/my_new_site_extractor.dart`
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This file comes pre-loaded with:
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- `/// Developed by Hamas` header.
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- `JsonScraper` mixin.
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- Correct `canHandle` and `extract` signatures.
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---
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## ⚠️ Disclaimer
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**dart_dlp** is an educational tool designed for interoperability and data portability. Use this engine responsibly and respect the Terms of Service of the platforms you interact with.
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---
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/// Developed by Hamas | dart_dlp Engine

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