【保姆级教程】手把手教你本地部署Open Claw，轻松实现智能爬虫！[特殊字符]

bash

# 升级pip到最新版本
python -m pip install --upgrade pip

# 安装虚拟环境工具
pip install virtualenv

bash

# 创建项目目录
mkdir open_claw_project && cd open_claw_project

# 创建虚拟环境
virtualenv venv

# 激活虚拟环境
# Windows:
venv\Scripts\activate
# Mac/Linux:
source venv/bin/activate

bash

# 从GitHub克隆最新代码
git clone https://github.com/your-repo/open-claw.git

# 进入项目目录
cd open-claw

bash

# 安装项目依赖
pip install -r requirements.txt

# 安装额外功能（可选）
pip install -r requirements-extra.txt

python

# config/database.py
DATABASE_CONFIG = {
    'default': {
        'ENGINE': 'mysql',
        'NAME': 'open_claw',
        'USER': 'root',
        'PASSWORD': 'your_password',
        'HOST': 'localhost',
        'PORT': '3306',
    }
}

bash

# 构建镜像
docker build -t open-claw .

# 运行容器
docker run -d \
  --name open-claw \
  -p 8000:8000 \
  -v $(pwd)/data:/app/data \
  open-claw

python

from open_claw import ClawSpider, Request

class TestSpider(ClawSpider):
    name = "test_spider"
    
    def start_requests(self):
        yield Request("https://httpbin.org/get")
    
    def parse(self, response):
        print(f"状态码: {response.status}")
        print(f"响应内容: {response.text[:200]}...")

if __name__ == "__main__":
    spider = TestSpider()
    spider.run()

bash

python test_spider.py

python

# config/proxy.py
PROXY_CONFIG = {
    'enabled': True,
    'proxy_pool': [
        'http://proxy1.example.com:8080',
        'http://proxy2.example.com:8080',
    ],
    'rotation_strategy': 'round_robin'
}

python

# config/anti_crawler.py
ANTI_CRAWLER_CONFIG = {
    'user_agent_rotation': True,
    'request_delay': (1, 3),  # 随机延迟1-3秒
    'max_retries': 3,
    'cookies_enabled': True
}

python

# config/distributed.py
DISTRIBUTED_CONFIG = {
    'enabled': True,
    'redis_host': 'localhost',
    'redis_port': 6379,
    'worker_count': 4
}

bash

# Windows用户可能需要安装Visual C++ Build Tools
pip install --upgrade setuptools wheel

python

from open_claw import ClawSpider, Item, Field
import asyncio

class ProductSpider(ClawSpider):
    name = "product_spider"
    start_urls = ["https://example.com/products"]
    
    async def parse(self, response):
        # 解析商品列表
        products = response.css('.product-item')
        
        for product in products:
            item = Item()
            item['name'] = product.css('.name::text').get()
            item['price'] = product.css('.price::text').get()
            item['url'] = product.css('a::attr(href)').get()
            
            # 异步下载图片
            img_url = product.css('img::attr(src)').get()
            if img_url:
                item['image'] = await self.download_image(img_url)
            
            yield item
    
    async def download_image(self, url):
        # 实现图片下载逻辑
        pass

# 运行爬虫
if __name__ == "__main__":
    spider = ProductSpider()
    asyncio.run(spider.crawl())

from open_claw.utils import retry

@retry(max_attempts=3, delay=2)
def fetch_data(url):
    response = requests.get(url)
    return response.json()

def save_to_csv(data, filename):
    import pandas as pd
    df = pd.DataFrame(data)
    df.to_csv(filename, index=False, encoding='utf-8-sig')

from open_claw.scheduler import schedule

@schedule(cron="0 */6 * * *")  # 每6小时执行一次
def scheduled_spider():
    spider = MySpider()
    spider.run()