259 lines
11 KiB
Python
259 lines
11 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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使用Playwright连接远程Chrome调试端口访问ProductHunt页面
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"""
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import asyncio
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from playwright.async_api import async_playwright
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from loguru import logger
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import sys
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from datetime import datetime
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# 配置日志
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logger.remove()
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logger.add(sys.stderr, level="INFO", format="<green>{time:YYYY-MM-DD HH:mm:ss}</green> | <level>{level: <8}</level> | <cyan>{name}</cyan>:<cyan>{function}</cyan>:<cyan>{line}</cyan> - <level>{message}</level>")
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class ProductHuntScraper:
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"""ProductHunt数据抓取器"""
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def __init__(self, debug_port=9222):
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self.debug_port = debug_port
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self.browser = None
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self.page = None
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async def connect_to_existing_chrome(self):
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"""连接到已运行的Chrome实例"""
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logger.info(f"正在连接到Chrome远程调试端口 {self.debug_port}")
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try:
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# 创建Playwright实例并保持引用
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self.playwright = await async_playwright().start()
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# 连接到已运行的Chrome实例
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self.browser = await self.playwright.chromium.connect_over_cdp(
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f"http://localhost:{self.debug_port}"
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)
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# 获取第一个上下文（通常是默认的）
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contexts = self.browser.contexts
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if contexts:
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context = contexts[0]
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# 获取第一个页面
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pages = context.pages
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if pages:
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self.page = pages[0]
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else:
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# 如果没有页面，创建新页面
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self.page = await context.new_page()
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else:
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# 如果没有上下文，创建新上下文
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context = await self.browser.new_context()
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self.page = await context.new_page()
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logger.success("成功连接到Chrome浏览器")
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return True
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except Exception as e:
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logger.error(f"连接Chrome失败: {e}")
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return False
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async def navigate_to_producthunt(self, url):
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"""导航到ProductHunt页面"""
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if not self.page:
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logger.error("页面未初始化")
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return False
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try:
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logger.info(f"正在访问: {url}")
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# 增加页面导航超时时间到300秒
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await self.page.goto(url, wait_until="domcontentloaded", timeout=300000)
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# 等待页面加载完成，增加超时时间
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await self.page.wait_for_load_state("networkidle", timeout=300000)
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# 等待页面标题包含"Product Hunt"，最长等待300秒
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logger.info("等待页面标题包含'Product Hunt'...")
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max_wait_time = 300 # 最大等待时间（秒）
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wait_interval = 5 # 检查间隔（秒）
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waited_time = 0
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while waited_time < max_wait_time:
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# 获取页面标题
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title = await self.page.title()
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logger.info(f"当前页面标题: {title}")
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# 检查标题是否包含"Product Hunt"
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if "Product Hunt" in title:
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logger.success(f"页面标题已包含'Product Hunt'，等待时间: {waited_time}秒")
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logger.success("Product Hunt网站已成功打开")
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return True
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# 等待一段时间后再次检查
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await asyncio.sleep(wait_interval)
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waited_time += wait_interval
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logger.info(f"已等待 {waited_time} 秒，继续等待...")
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# 如果超时仍未找到目标标题
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logger.warning(f"等待超时（{max_wait_time}秒），页面标题仍未包含'Product Hunt'")
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logger.info(f"最终页面标题: {await self.page.title()}")
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# 即使超时，如果页面正常加载也返回True
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final_title = await self.page.title()
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if final_title and "Not Found" not in final_title and "Error" not in final_title:
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logger.success("页面已正常加载，但标题不符合预期")
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return True
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else:
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logger.error("页面加载失败")
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return False
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except Exception as e:
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logger.error(f"访问页面失败: {e}")
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return False
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async def extract_product_info(self):
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"""提取产品信息"""
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if not self.page:
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logger.error("页面未初始化")
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return None
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try:
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product_info = {}
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# 提取产品名称（h1标签）
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name_element = await self.page.query_selector("h1")
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if name_element:
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product_info["name"] = (await name_element.text_content()).strip()
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logger.info(f"产品名称: {product_info['name']}")
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# 提取产品简介（class为"relative text-16 font-normal text-gray-700"的div）
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logger.info("正在提取产品简介...")
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try:
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intro_div = await self.page.query_selector('div.relative.text-16.font-normal.text-gray-700')
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if intro_div:
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product_info["introduction"] = (await intro_div.text_content()).strip()
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logger.info(f"产品简介: {product_info['introduction'][:200]}...")
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else:
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logger.warning("未找到class为'relative text-16 font-normal text-gray-700'的div")
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except Exception as e:
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logger.error(f"提取产品简介失败: {e}")
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# 等待制作人发言动态加载（等待class="flex flex-col gap-2"的section标签出现）
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logger.info("等待制作人发言动态加载...")
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try:
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# 等待section标签出现，最长等待60秒
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section_element = await self.page.wait_for_selector(
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'section.flex.flex-col.gap-2',
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timeout=60000
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)
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if section_element:
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logger.success("制作人发言区域已加载")
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# 提取制作人发言（class为"flex flex-col gap-1"的div里面的span标签）
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maker_div = await section_element.query_selector('div.flex.flex-col.gap-1')
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if maker_div:
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span_element = await maker_div.query_selector('span')
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if span_element:
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product_info["maker_statement"] = (await span_element.text_content()).strip()
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logger.info(f"制作人发言: {product_info['maker_statement'][:200]}...")
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else:
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logger.warning("在div中未找到span标签")
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else:
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logger.warning("未找到class为'flex flex-col gap-1'的div")
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else:
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logger.warning("制作人发言区域未加载")
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except Exception as e:
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logger.error(f"等待制作人发言加载失败: {e}")
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# 提取用户数（class="text-14 font-medium text-gray-700"的p标签）
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logger.info("正在提取用户数...")
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try:
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user_count_element = await self.page.query_selector('p.text-14.font-medium.text-gray-700')
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if user_count_element:
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product_info["user_count"] = (await user_count_element.text_content()).strip()
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logger.info(f"用户数: {product_info['user_count']}")
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else:
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logger.warning("未找到class为'text-14 font-medium text-gray-700'的p标签")
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except Exception as e:
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logger.error(f"提取用户数失败: {e}")
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# 保存到临时文件
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temp_file_path = "temp_product_info.txt"
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with open(temp_file_path, "w", encoding="utf-8") as f:
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f.write("=== Product Hunt 产品信息 ===\n\n")
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f.write(f"产品名称: {product_info.get('name', '未获取')}\n\n")
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f.write(f"产品简介: {product_info.get('introduction', '未获取')}\n\n")
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f.write(f"制作人发言: {product_info.get('maker_statement', '未获取')}\n\n")
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f.write(f"用户数: {product_info.get('user_count', '未获取')}\n\n")
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f.write(f"提取时间: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
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logger.info(f"产品信息已保存到临时文件: {temp_file_path}")
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# 截取页面截图
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screenshot_path = "product_screenshot.png"
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await self.page.screenshot(path=screenshot_path, full_page=True)
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logger.info(f"页面截图已保存到: {screenshot_path}")
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return product_info
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except Exception as e:
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logger.error(f"提取产品信息失败: {e}")
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return None
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async def close(self):
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"""关闭连接"""
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if self.browser:
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await self.browser.close()
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logger.info("浏览器连接已关闭")
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if hasattr(self, 'playwright') and self.playwright:
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await self.playwright.stop()
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logger.info("Playwright实例已关闭")
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async def main():
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"""主函数"""
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logger.info("开始ProductHunt数据抓取任务")
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# 目标URL
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target_url = "https://www.producthunt.com/products/notion"
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# 创建抓取器实例
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scraper = ProductHuntScraper(debug_port=9222)
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try:
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# 连接到Chrome
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if not await scraper.connect_to_existing_chrome():
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logger.error("无法连接到Chrome，请确保Chrome已启动并启用远程调试")
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return
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# 导航到目标页面
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if not await scraper.navigate_to_producthunt(target_url):
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logger.error("页面访问失败")
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return
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# 提取产品信息
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product_info = await scraper.extract_product_info()
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if product_info:
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logger.success("产品信息提取完成")
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# 保存产品信息到JSON文件
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import json
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with open("product_info.json", "w", encoding="utf-8") as f:
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json.dump(product_info, f, ensure_ascii=False, indent=2)
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logger.info("产品信息已保存到 product_info.json")
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else:
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logger.warning("未能提取到产品信息")
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except Exception as e:
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logger.error(f"执行过程中发生错误: {e}")
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finally:
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# 关闭连接
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await scraper.close()
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logger.info("任务完成")
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if __name__ == "__main__":
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asyncio.run(main()) |