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BBC Crawler MaxClaw
Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.
SkillHub CLI
skillhub install felixopt17/bbccrawlermaxclawExaminez la source et la compatibilité, puis suivez les étapes d’installation.
Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.
A powerful, universal web crawler optimized for BBC News but capable of crawling other sites. It integrates advanced scraping technologies including Crawl4AI and Playwright to handle dynamic content and anti-bot protections.
crawl4ai: Primary method using AsyncWebCrawler for high performance and accuracy.playwright: Full browser rendering fallback for complex dynamic pages.requests: Fast fallback for static content.auto: Automatically detects the best method (Prioritizes Crawl4AI).YYYY-MM-DD/Category/Title.md.requirements.txt for Python packages.# 1. Install dependencies
# Note: install.py supports passing arguments to pip, e.g., --break-system-packages
python install.py
# Example for environments requiring --break-system-packages:
python install.py --break-system-packages
python universal_crawler_v2.py --url https://www.bbc.co.uk/news --max-pages 50
# Force Crawl4AI
python universal_crawler_v2.py --url https://www.bbc.co.uk/news --method crawl4ai
# Force Playwright
python universal_crawler_v2.py --url https://www.bbc.co.uk/news --method playwright
# Control depth and delay
python universal_crawler_v2.py --url https://www.bbc.co.uk/news --depth 3 --delay 2.5
# Specify output directory
python universal_crawler_v2.py --url https://www.bbc.co.uk/news --output ./my_data
python install.py again.Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.
这是一个基于OpenClaw的BBC和通用网站爬虫Skill。
该 Skill 支持在 Windows、Linux 和 macOS 等多种环境下运行。
确保已安装 Python 3.8+。
Windows 用户:
install_dependencies.bat 安装依赖。run_bbc_crawler.bat 启动演示爬虫。Linux / macOS 用户:
chmod +x install_dependencies.sh
./install_dependencies.sh
chmod +x run_bbc_crawler.sh
./run_bbc_crawler.sh
在Skill目录下运行:
pip install -r requirements.txt
python universal_crawler_v2.py --url https://www.bbc.com/news --max-pages 50
--url: 起始URL(必填)--max-pages: 最大爬取页面数(默认50)--depth: 爬取深度(默认5)--output: 输出目录(默认当前目录下的 data 文件夹)--delay: 请求间隔时间(秒,默认3.0)爬取结果将保存在指定的输出目录中,结构如下:
data/
└── {日期}/
└── {栏目}/
├── images/ # 图片文件夹
│ ├── {hash}.jpg
│ └── ...
└── {域...
# BBC Crawler MaxClaw ## Description A powerful, universal web crawler optimized for BBC News but capable of crawling other sites. It integrates advanced scraping technologies including Crawl4AI and Playwright to handle dynamic content and anti-bot protections. ## Features - **Multi-Method Extraction**: - `crawl4ai`: Primary method using AsyncWebCrawler for high performance and accuracy. - `playwright`: Full browser rendering fallback for complex dynamic pages. - `requests`: Fast fallback for static content. - `auto`: Automatically detects the best method (Prioritizes Crawl4AI). - **Hierarchical Storage**: Saves content in a structured format: `YYYY-MM-DD/Category/Title.md`. - **Local Image Archiving**: Downloads images locally, names them by MD5 hash, and updates Markdown references. - **Content Filtering**: Intelligently extracts main article content and relevant images using CSS selectors. ## Requirements - Python 3.9+ - See `requirements.txt` for Python packages. ## Installation ```bash # 1. Install dependencies # Note: install.py supports passing arguments to pip, e.g., --break-system-packages python install.py # Example for environments requiring --break-system-packages: python install.py --break-system-packages ``` ## Usage ### Basic Usage ```bash python universal_crawler_v2.py --url https://www.bbc.co.uk/news --max-pages 50 ``` ### Advanced Usage ```bash # Force Crawl4AI python universal_crawler_v2.py --url https://www.bbc.co.uk/news --method crawl4ai # Force Playwright python universal_crawler_v2.py --url https://www.bbc.co.uk/news --method playwright # Control depth and delay python universal_crawler_v2.py --url https://www.bbc.co.uk/news --depth 3 --delay 2.5 # Specify output directory python universal_crawler_v2.py --url https://www.bbc.co.uk/news --output ./my_data ``` ## Troubleshooting - **Import Errors**: If you see "No module named 'crawl4ai'" or similar, run `python install.py` again. - **Empty Responses**: Ensure you have the...
---
AIGC:
ContentProducer: Minimax Agent AI
ContentPropagator: Minimax Agent AI
Label: AIGC
ProduceID: "00000000000000000000000000000000"
PropagateID: "00000000000000000000000000000000"
ReservedCode1: 3045022074c546b58330a07da35f0e0d94c0ad51cc6d4e445b235ef033071d1b4da4a11f022100b661c9e283570d245986240a3688ea7cfc0107c8f8d80d9985d4b35a77cfa953
ReservedCode2: 3045022100f1f6d58d0a92215eab415fba9da1ec4c2525d726e00458bb0456467ff4e572550220151c90d6d8f68eb711764b45a38831c0f5ba52612215d97fcc3e218db6ed5873
---
# BBC Crawler Skill
这是一个基于OpenClaw的BBC和通用网站爬虫Skill。
## 功能特性
- 支持BBC News、BBC Sport等栏目的精准内容提取
- 支持通用网站爬取(Generic Mode)
- 支持Markdown格式输出
- 自动提取正文、标题、作者、发布时间等元数据
- 智能去重和深度控制
- **图片本地化下载**:自动下载正文图片到本地,并更新Markdown链接,支持离线查看。
## 独立安装指南
该 Skill 支持在 Windows、Linux 和 macOS 等多种环境下运行。
### 1. 准备环境
确保已安装 Python 3.8+。
### 2. 快速安装与运行 (推荐)
**Windows 用户:**
1. 双击运行 `install_dependencies.bat` 安装依赖。
2. 双击运行 `run_bbc_crawler.bat` 启动演示爬虫。
**Linux / macOS 用户:**
1. 在终端中运行安装脚本:
```bash
chmod +x install_dependencies.sh
./install_dependencies.sh
```
2. 运行演示爬虫:
```bash
chmod +x run_bbc_crawler.sh
./run_bbc_crawler.sh
```
### 3. 手动安装 (高级用户)
在Skill目录下运行:
```bash
pip install -r requirements.txt
```
### 3. 运行爬虫
#### 基本用法
```bash
python universal_crawler_v2.py --url https://www.bbc.com/news --max-pages 50
```
#### 常用参数
- `--url`: 起始URL(必填)
- `--max-pages`: 最大爬取页面数(默认50)
- `--depth`: 爬取深度(默认5)
- `--output`: 输出目录(默认当前目录下的 `data` 文件夹)
- `--delay`: 请求间隔时间(秒,默认3.0)
### 4. 输出结果
爬取结果将保存在指定的输出目录中,结构如下:
```
data/
└── {日期}/
└── {栏目}/
├── images/ # 图片文件夹
│ ├── {hash}.jpg
│ └── ...
└── {域...Multi-channel ABM automation that turns LinkedIn URLs into coordinated outbound campaigns. Scrapes profiles, enriches with Apollo (email + phone), gets mailing addresses via Skip Trace, then orchestrates email...
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