ACS Paper Crawler / ACS 论文爬虫

A professional web-based crawler for American Chemical Society (ACS) papers with modern dashboard and analytics.

专业的 ACS（美国化学会）论文网络爬虫，具有现代化仪表板和分析功能。

English | 中文 | 📚 Documentation

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English

Features

• 43 Built-in Journals: Pre-configured ACS journal list
• Real-time Crawling: Extract papers from ACS Publications
• Complete Metadata: Title, DOI, authors, abstract, keywords, citation info
• Modern Dashboard: Interactive charts and statistics
• Advanced Filtering: Search by title, author, journal, year
• Background Jobs: Async crawling with progress tracking
• RESTful API: Full API documentation at /docs

Quick Start

Option 1: Docker (Recommended)

# Start with Docker Compose
docker compose up -d

# Access at http://localhost:8000

# Stop
docker compose down

Option 2: Local Installation

# Install dependencies
pip install -r requirements.txt

# (Optional) Configure ChromeDriver path
# Copy .env.example to .env and set CHROMEDRIVER_PATH if needed
cp .env.example .env
# Edit .env to set your ChromeDriver path (Windows users especially)

# Run the application
python run.py

# Open browser
http://localhost:8000

Option 3: Install from PyPI

pip install acs_crawler

# Run the web interface
python -m uvicorn acs_crawler.api.main:app --host 0.0.0.0 --port 8000

Requirements

• Docker: 20.10+ (for Docker installation), OR
• Python: 3.9+ (for local installation)
• Chrome browser: Latest stable version
• ChromeDriver: Auto-downloaded by webdriver-manager (or configure manually)

Configuration

ChromeDriver Path (Optional)

By default, ChromeDriver is automatically downloaded. If you want to use your own ChromeDriver:

1. Copy .env.example to .env
2. Set CHROMEDRIVER_PATH to your ChromeDriver executable path

Examples:

# Windows
CHROMEDRIVER_PATH=C:\Program Files\Google\Chrome\Application\chromedriver-win64\chromedriver.exe

# Linux/Mac
CHROMEDRIVER_PATH=/usr/local/bin/chromedriver

# WSL (Windows path from WSL)
CHROMEDRIVER_PATH=/mnt/c/Program Files/Google/Chrome/Application/chromedriver-win64/chromedriver.exe

Known Limitations

• No Search URL Crawling: ACS search pages are protected by Cloudflare Turnstile CAPTCHA
  • Automated tools (Selenium, curl, etc.) are blocked
  • Workaround: Use journal issue URLs which work perfectly
  • Local filtering available in Papers UI after crawling
• Performance: Selenium-based (slower than HTTP-only crawlers, ~3-5s startup per job)
• Rate Limiting: No automatic limits - space out jobs manually (1-2 concurrent max)
• Data Extraction: Only public metadata (no paywalled content, no author affiliations)
• Scalability: Sequential job processing, SQLite storage (not for production)
• ACS Only: Designed for ACS journals, relies on current page structure
• Legal: Users responsible for complying with ACS Terms of Service

See full documentation for workarounds and best practices.

Documentation

Full documentation available in the docs/ directory:

cd docs
make html
# Open docs/_build/html/index.html

Or read online: Documentation

Screenshots

License & Copyright

Copyright (c) 2025 ACS Paper Crawler Contributors

This software is for educational and research purposes only.

• ✅ Academic & Educational Use
• ✅ Research & Study
• ❌ Commercial Use (requires permission)
• ⚠️ Respect ACS Terms of Service

See LICENSE and full documentation for details.

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中文

功能特性

• 43 个内置期刊：预配置的 ACS 期刊列表
• 实时爬取：从 ACS Publications 提取论文
• 完整元数据：标题、DOI、作者、摘要、关键词、引用信息
• 现代化仪表板：交互式图表和统计
• 高级过滤：按标题、作者、期刊、年份搜索
• 后台任务：异步爬取，进度追踪
• RESTful API：完整 API 文档位于 /docs

快速开始

方式一：Docker（推荐）

# 使用 Docker Compose 启动
docker compose up -d

# 访问 http://localhost:8000

# 停止
docker compose down

方式二：本地安装

# 安装依赖
pip install -r requirements.txt

# 运行应用
python run.py

# 打开浏览器
http://localhost:8000

环境要求

• Docker: 20.10+（Docker 安装方式），或
• Python: 3.9+（本地安装方式）
• Chrome 浏览器: 最新稳定版
• ChromeDriver: 由 webdriver-manager 自动下载

已知限制

• 无法爬取搜索 URL：ACS 搜索页面受 Cloudflare Turnstile 验证码保护
  • 自动化工具（Selenium、curl 等）被阻止
  • 解决方法：使用期刊页面 URL，完美工作
  • 爬取后可在论文界面进行本地过滤
• 性能：基于 Selenium（比纯 HTTP 爬虫慢，每个任务启动约 3-5 秒）
• 速率限制：无自动限制 - 需手动间隔任务（最多 1-2 个并发）
• 数据提取：仅公开元数据（无付费内容，无作者单位）
• 可扩展性：顺序任务处理，SQLite 存储（不适用于生产环境）
• 仅限 ACS：专为 ACS 期刊设计，依赖当前页面结构
• 法律：用户需自行遵守 ACS 服务条款

详见完整文档获取解决方法和最佳实践。

文档

完整文档位于 docs/ 目录：

cd docs
make html
# 打开 docs/_build/html/index.html

或在线阅读：文档

截图

许可证与版权

版权所有 (c) 2025 ACS Paper Crawler 贡献者

本软件仅用于教育和研究目的。

• ✅ 学术与教育用途
• ✅ 研究与学习
• ❌ 商业用途（需要许可）
• ⚠️ 遵守 ACS 服务条款

详见许可证和完整文档。

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Project Structure / 项目结构

ACS_crawler/
├── src/acs_crawler/      # Source code / 源代码
├── docs/                 # Documentation / 文档
├── data/                 # Database / 数据库
├── logs/                 # Logs / 日志
├── run.py               # Entry point / 入口
└── README.md            # This file / 本文件

Technology Stack / 技术栈

Backend: FastAPI, SQLite, Selenium, BeautifulSoup4 Frontend: Bootstrap 5, Chart.js, Vanilla JavaScript

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Contributing / 贡献

Contributions welcome! Please see CONTRIBUTING.md

欢迎贡献！请查看贡献指南

Support / 支持

• 📚 Documentation
• 🐛 Report Issues
• 💬 Discussions

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Happy Crawling! / 爬取愉快！ 🚀