Disclaimer:

Please use this repository for learning purposes only ⚠️⚠️⚠️⚠️, Web scraping illegal cases

All content in this repository is for learning and reference purposes only, and commercial use is prohibited. No person or organization may use the content of this repository for illegal purposes or infringe upon the legitimate rights and interests of others. The web scraping technology involved in this repository is only for learning and research, and may not be used for large-scale crawling of other platforms or other illegal activities. This repository assumes no legal responsibility for any legal liability arising from the use of the content of this repository. By using the content of this repository, you agree to all terms and conditions of this disclaimer.

Click to view a more detailed disclaimer. Click to jump

📖 Project Introduction

A powerful multi-platform social media data collection tool that supports crawling public information from mainstream platforms including Xiaohongshu, Douyin, Kuaishou, Bilibili, Weibo, Tieba, Zhihu, and more.

🔧 Technical Principles

Core Technology: Based on Playwright browser automation framework for login and maintaining login state
No JS Reverse Engineering Required: Uses browser context environment with preserved login state to obtain signature parameters through JS expressions
Advantages: No need to reverse complex encryption algorithms, significantly lowering the technical barrier

✨ Features

Platform	Keyword Search	Specific Post ID Crawling	Secondary Comments	Specific Creator Homepage	Login State Cache	IP Proxy Pool	Generate Comment Word Cloud
Xiaohongshu	✅	✅	✅	✅	✅	✅	✅
Douyin	✅	✅	✅	✅	✅	✅	✅
Kuaishou	✅	✅	✅	✅	✅	✅	✅
Bilibili	✅	✅	✅	✅	✅	✅	✅
Weibo	✅	✅	✅	✅	✅	✅	✅
Tieba	✅	✅	✅	✅	✅	✅	✅
Zhihu	✅	✅	✅	✅	✅	✅	✅

🔗 🚀 MediaCrawlerPro Major Release! More features, better architectural design!

🚀 MediaCrawlerPro Major Release!

Focus on learning mature project architectural design, not just crawling technology. The code design philosophy of the Pro version is equally worth in-depth study!

MediaCrawlerPro core advantages over the open-source version:

🎯 Core Feature Upgrades

✅ Resume crawling functionality (Key feature)
✅ Multi-account + IP proxy pool support (Key feature)
✅ Remove Playwright dependency, easier to use
✅ Complete Linux environment support

🏗️ Architectural Design Optimization

✅ Code refactoring optimization, more readable and maintainable (decoupled JS signature logic)
✅ Enterprise-level code quality, suitable for building large-scale crawler projects
✅ Perfect architectural design, high scalability, greater source code learning value

🎁 Additional Features

✅ Social media video downloader desktop app (suitable for learning full-stack development)
✅ Multi-platform homepage feed recommendations (HomeFeed)
AI Agent based on social media platforms is under development 🚀🚀

Click to view: MediaCrawlerPro Project Homepage for more information

🚀 Quick Start

💡 Open source is not easy, if this project helps you, please give a ⭐ Star to support!

📋 Prerequisites

🚀 uv Installation (Recommended)

Before proceeding with the next steps, please ensure that uv is installed on your computer:

Installation Guide: uv Official Installation Guide
Verify Installation: Enter the command uv --version in the terminal. If the version number is displayed normally, the installation was successful
Recommendation Reason: uv is currently the most powerful Python package management tool, with fast speed and accurate dependency resolution

🟢 Node.js Installation

The project depends on Node.js, please download and install from the official website:

Download Link: https://nodejs.org/en/download/
Version Requirement: >= 16.0.0

📦 Python Package Installation

# Enter project directory
cd MediaCrawler

# Use uv sync command to ensure consistency of python version and related dependency packages
uv sync

🌐 Browser Driver Installation

# Install browser driver
uv run playwright install

💡 Tip: MediaCrawler now supports using playwright to connect to your local Chrome browser, solving some issues caused by Webdriver.

Currently, xhs and dy are available using CDP mode to connect to local browsers. If needed, check the configuration items in config/base_config.py.

🚀 Run Crawler Program

# The project does not enable comment crawling mode by default. If you need comments, please modify the ENABLE_GET_COMMENTS variable in config/base_config.py
# Other supported options can also be viewed in config/base_config.py with Chinese comments

# Read keywords from configuration file to search related posts and crawl post information and comments
uv run main.py --platform xhs --lt qrcode --type search

# Read specified post ID list from configuration file to get information and comment information of specified posts
uv run main.py --platform xhs --lt qrcode --type detail

# Open corresponding APP to scan QR code for login

# For other platform crawler usage examples, execute the following command to view
uv run main.py --help

🔗 Using Python native venv environment management (Not recommended)

Create and activate Python virtual environment

If crawling Douyin and Zhihu, you need to install nodejs environment in advance, version greater than or equal to: 16

# Enter project root directory
cd MediaCrawler

# Create virtual environment
# My python version is: 3.9.6, the libraries in requirements.txt are based on this version
# If using other python versions, the libraries in requirements.txt may not be compatible, please resolve on your own
python -m venv venv

# macOS & Linux activate virtual environment
source venv/bin/activate

# Windows activate virtual environment
venv\Scripts\activate

Install dependency libraries

pip install -r requirements.txt

Install playwright browser driver

playwright install

Run crawler program (native environment)

# The project does not enable comment crawling mode by default. If you need comments, please modify the ENABLE_GET_COMMENTS variable in config/base_config.py
# Other supported options can also be viewed in config/base_config.py with Chinese comments

# Read keywords from configuration file to search related posts and crawl post information and comments
python main.py --platform xhs --lt qrcode --type search

# Read specified post ID list from configuration file to get information and comment information of specified posts
python main.py --platform xhs --lt qrcode --type detail

# Open corresponding APP to scan QR code for login

# For other platform crawler usage examples, execute the following command to view
python main.py --help

💾 Data Storage

Supports multiple data storage methods:

CSV Files: Supports saving to CSV (under data/ directory)
JSON Files: Supports saving to JSON (under data/ directory)
Database Storage
- Use the --init_db parameter for database initialization (when using --init_db, no other optional arguments are needed)
- SQLite Database: Lightweight database, no server required, suitable for personal use (recommended)
  1. Initialization: --init_db sqlite
  2. Data Storage: --save_data_option sqlite
- MySQL Database: Supports saving to relational database MySQL (database needs to be created in advance)
  1. Initialization: --init_db mysql
  2. Data Storage: --save_data_option db (the db parameter is retained for compatibility with historical updates)

Usage Examples:

# Initialize SQLite database (when using '--init_db', no other optional arguments are needed)
uv run main.py --init_db sqlite
# Use SQLite to store data (recommended for personal users)
uv run main.py --platform xhs --lt qrcode --type search --save_data_option sqlite

# Initialize MySQL database
uv run main.py --init_db mysql
# Use MySQL to store data (the db parameter is retained for compatibility with historical updates)
uv run main.py --platform xhs --lt qrcode --type search --save_data_option db

🚀 MediaCrawlerPro Major Release 🚀! More features, better architectural design!

🤝 Community & Support

💬 Discussion Groups

WeChat Discussion Group: Click to join

📚 Documentation & Tutorials

Online Documentation: MediaCrawler Complete Documentation
Crawler Tutorial: CrawlerTutorial Free Tutorial

Author's Knowledge Services

If you want to quickly get started and learn the usage of this project, source code architectural design, learn programming technology, or want to understand the source code design of MediaCrawlerPro, you can check out my paid knowledge column.

Author's Paid Knowledge Column Introduction

⭐ Star Trend Chart

If this project helps you, please give a ⭐ Star to support and let more people see MediaCrawler!

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Contact Information:

WeChat: yzglan
Email: relakkes@gmail.com

📚 References

Xiaohongshu Client: ReaJason's xhs repository
SMS Forwarding: SmsForwarder reference repository
Intranet Penetration Tool: ngrok official documentation

Disclaimer

1. Project Purpose and Nature

This project (hereinafter referred to as "this project") was created as a technical research and learning tool, aimed at exploring and learning network data collection technologies. This project focuses on research of data crawling technologies for social media platforms, intended to provide learners and researchers with technical exchange purposes.

2. Legal Compliance Statement

The project developer (hereinafter referred to as "developer") solemnly reminds users to strictly comply with relevant laws and regulations of the People's Republic of China when downloading, installing and using this project, including but not limited to the "Cybersecurity Law of the People's Republic of China", "Counter-Espionage Law of the People's Republic of China" and all applicable national laws and policies. Users shall bear all legal responsibilities that may arise from using this project.

3. Usage Purpose Restrictions

This project is strictly prohibited from being used for any illegal purposes or non-learning, non-research commercial activities. This project may not be used for any form of illegal intrusion into other people's computer systems, nor may it be used for any activities that infringe upon others' intellectual property rights or other legitimate rights and interests. Users should ensure that their use of this project is purely for personal learning and technical research, and may not be used for any form of illegal activities.

4. Disclaimer

The developer has made every effort to ensure the legitimacy and security of this project, but assumes no responsibility for any form of direct or indirect losses that may arise from users' use of this project. Including but not limited to any data loss, equipment damage, legal litigation, etc. caused by using this project.

5. Intellectual Property Statement

The intellectual property rights of this project belong to the developer. This project is protected by copyright law and international copyright treaties as well as other intellectual property laws and treaties. Users may download and use this project under the premise of complying with this statement and relevant laws and regulations.

6. Final Interpretation Rights

The developer has the final interpretation rights regarding this project. The developer reserves the right to change or update this disclaimer at any time without further notice.

🙏 Acknowledgments

JetBrains Open Source License Support

Thanks to JetBrains for providing free open source license support for this project!

README_en.md

Warp is built for coding with multiple AI agents