456 lines
20 KiB
Python
456 lines
20 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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self.click_records = [] # 记录点击行为
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self.dom_selection_records = [] # 记录DOM选取行为
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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 record_click(self, x, y, selector="", description=""):
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"""记录点击行为"""
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click_record = {
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"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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"type": "click",
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"x": x,
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"y": y,
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"selector": selector,
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"description": description
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}
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self.click_records.append(click_record)
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logger.info(f"记录点击: {description} - 坐标({x}, {y}) - 选择器: {selector}")
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async def record_dom_selection(self, selector, description=""):
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"""记录DOM选取行为"""
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dom_record = {
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"timestamp": datetime.now().strftime("%Y-%m-%d %H:%M:%S"),
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"type": "dom_selection",
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"selector": selector,
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"description": description
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}
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self.dom_selection_records.append(dom_record)
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logger.info(f"记录DOM选取: {description} - 选择器: {selector}")
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async def save_behavior_records(self):
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"""保存行为记录到文件"""
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import json
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records = {
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"click_records": self.click_records,
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"dom_selection_records": self.dom_selection_records
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}
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filename = f"playwright_behavior_records_{datetime.now().strftime('%Y%m%d_%H%M%S')}.json"
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with open(filename, "w", encoding="utf-8") as f:
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json.dump(records, f, ensure_ascii=False, indent=2)
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logger.success(f"行为记录已保存到: {filename}")
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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_maker_statement_from_current_window(self, maker_link, maker_text):
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"""在当前窗口中提取制作人发言"""
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if not maker_link:
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logger.warning("制作人链接为空")
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return ""
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if not self.page:
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logger.error("当前页面未初始化")
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return ""
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try:
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# 记录点击制作人链接的行为
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await self.record_click("制作人链接", "点击制作人链接在当前窗口打开")
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# 在当前页面导航到制作人链接
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logger.info(f"正在在当前窗口打开制作人链接: {maker_link}")
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await self.page.goto(maker_link, wait_until="domcontentloaded")
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# 等待页面加载
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await self.page.wait_for_load_state("networkidle")
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# 等待title元素出现并包含产品名称（最长等待2分钟）
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logger.info("等待title元素出现并包含产品名称（最长等待2分钟）...")
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try:
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# 等待title元素出现，最长等待2分钟
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await self.page.wait_for_selector("title", timeout=120000)
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# 检查title是否包含产品名称
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title_text = await self.page.title()
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logger.info(f"页面标题: {title_text}")
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# 获取产品名称（从maker_text参数中获取）
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product_name = maker_text.strip() if maker_text else ""
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if product_name and product_name.lower() in title_text.lower():
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logger.success(f"标题包含产品名称: {product_name}")
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else:
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logger.warning(f"标题不包含产品名称，产品名称: {product_name}")
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except Exception as e:
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logger.error(f"等待title元素失败: {e}")
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# 再等待30秒，确保页面完全加载
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logger.info("再等待30秒，确保页面完全加载...")
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await self.page.wait_for_timeout(30000) # 等待30秒
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# 提取制作人评论内容（XPath: //*[@id=\"comment-4597755\"]/div/div[2]/div/div/div）
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logger.info("正在提取制作人评论内容...")
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try:
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# 使用XPath查找评论元素
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comment_element = await self.page.query_selector(
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'xpath=//*[@id="comment-4597755"]/div/div[2]/div/div/div'
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)
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if comment_element:
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maker_statement = (await comment_element.text_content()).strip()
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logger.info(f"制作人评论内容: {maker_statement[:200]}...")
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return maker_statement
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else:
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logger.warning("未找到XPath为//*[@id=\"comment-4597755\"]/div/div[2]/div/div/div的元素")
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except Exception as e:
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logger.error(f"提取制作人评论内容失败: {e}")
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return ""
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except Exception as e:
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logger.error(f"在当前窗口打开制作人链接失败: {e}")
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return ""
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async def _extract_maker_statement_direct_open(self, maker_link, maker_text):
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"""备用方法：直接在新窗口中打开链接"""
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try:
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logger.info("使用备用方法：直接在新窗口中打开链接...")
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# 创建新页面
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new_page = await self.browser.new_page()
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# 导航到制作人页面
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await new_page.goto(maker_link, wait_until="domcontentloaded", timeout=30000)
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# 等待页面加载
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await new_page.wait_for_timeout(15000)
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logger.info("页面加载等待完成，开始提取内容...")
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# 抓取第一个section的tag
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await self.record_dom_selection('section', "备用方法-新窗口第一个section标签")
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first_section = await new_page.query_selector('section')
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if first_section:
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logger.success("找到第一个section标签")
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# 在section下面找一个没有任何class的div标签
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await self.record_dom_selection('div:not([class])', "备用方法-section下无class的div标签")
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div_without_class = await first_section.query_selector('div:not([class])')
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if div_without_class:
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logger.success("找到无class的div标签")
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# 提取div及其子标签的所有文本内容
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maker_statement = await div_without_class.inner_text()
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result = maker_statement.strip()
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logger.info(f"制作人发言(新窗口): {result[:2000]}...")
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else:
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logger.warning("未找到无class的div标签")
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# 回退到提取section的文本内容
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section_text = await first_section.inner_text()
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result = section_text.strip()
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logger.info(f"制作人发言(回退section): {result[:200]}...")
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else:
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logger.warning("未找到section标签")
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# 回退到原始a标签文本
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result = maker_text
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logger.info(f"制作人发言(回退a标签): {maker_text[:200]}...")
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# 添加充分延迟，确保内容完全加载
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logger.info("等待内容完全稳定...")
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await new_page.wait_for_timeout(3000)
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# 关闭新页面
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await new_page.close()
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logger.info("新窗口已关闭")
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return result
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except Exception as e:
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logger.error(f"备用方法也失败: {e}")
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# 如果备用方法也失败，回退到原始a标签文本
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return maker_text
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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（XPath: //h1）
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logger.info("正在提取产品名称...")
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try:
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await self.record_dom_selection("//h1", "产品名称")
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name_element = await self.page.query_selector("xpath=//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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else:
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logger.warning("未找到XPath为//h1的元素")
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except Exception as e:
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logger.error(f"提取产品名称失败: {e}")
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# 提取产品简介（XPath: //*[@class=\"relative text-16 font-normal text-gray-700\"]//div）
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logger.info("正在提取产品简介...")
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try:
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await self.record_dom_selection('//*[@class="relative text-16 font-normal text-gray-700"]//div', "产品简介")
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intro_element = await self.page.query_selector('xpath=//*[@class="relative text-16 font-normal text-gray-700"]//div')
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if intro_element:
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product_info["introduction"] = (await intro_element.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XPath为//*[@class=\"relative text-16 font-normal text-gray-700\"]//div的元素")
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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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# 提取用户数（XPath: //*[@class=\"flex flex-row gap-2\"]//div/div[2]/span/p）
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logger.info("正在提取用户数...")
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try:
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await self.record_dom_selection('//*[@class="flex flex-row gap-2"]//div/div[2]/span/p', "用户数")
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user_count_element = await self.page.query_selector('xpath=//*[@class="flex flex-row gap-2"]//div/div[2]/span/p')
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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XPath为//*[@class=\"flex flex-row gap-2\"]//div/div[2]/span/p的元素")
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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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# 提取制作人发言链接（XPath: //span[contains(@class, \"absolute\")]的父级a标签）
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logger.info("正在提取制作人发言链接...")
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try:
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# 增加显性等待，等待页面元素加载完成
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logger.info("等待页面元素加载...")
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await self.page.wait_for_timeout(20000) # 等待20秒
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# 先找到包含class="absolute"的span元素
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await self.record_dom_selection('//span[contains(@class, "absolute")]', "制作人span标签")
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span_element = await self.page.query_selector('xpath=//span[contains(@class, "absolute")]')
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if span_element:
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# 找到span元素的父级a标签
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await self.record_dom_selection('//span[contains(@class, "absolute")]/parent::a', "制作人链接")
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# 使用更可靠的方法获取父级a标签
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a_element = await span_element.evaluate_handle('(element) => element.closest("a")')
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# 检查a_element是否为有效的元素句柄
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if a_element:
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# 提取a标签的文本内容
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maker_text = (await a_element.text_content()).strip()
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# 提取a标签的href属性（超链接）
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maker_link = await a_element.get_attribute('href')
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# 拼凑完整的URL
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if maker_link and not maker_link.startswith('http'):
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# 如果是相对路径，拼凑为完整URL
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base_url = "https://www.producthunt.com"
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if maker_link.startswith('/'):
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maker_link = base_url + maker_link
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else:
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maker_link = base_url + '/' + maker_link
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product_info["maker_link"] = maker_link
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logger.info(f"制作人链接: {maker_link}")
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# 调用子函数在当前窗口中提取制作人发言
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product_info["maker_statement"] = await self.extract_maker_statement_from_current_window(maker_link, maker_text)
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else:
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logger.warning("未找到制作人链接的a标签")
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else:
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logger.warning("未找到XPath为//span[contains(@class, \"absolute\")]的元素")
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except Exception as e:
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logger.error(f"提取制作人发言链接失败: {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"""
|
||
logger.info("开始ProductHunt数据抓取任务")
|
||
|
||
# 目标URL
|
||
target_url = "https://www.producthunt.com/products/notion"
|
||
|
||
# 创建抓取器实例
|
||
scraper = ProductHuntScraper(debug_port=9222)
|
||
|
||
try:
|
||
# 连接到Chrome
|
||
if not await scraper.connect_to_existing_chrome():
|
||
logger.error("无法连接到Chrome，请确保Chrome已启动并启用远程调试")
|
||
return
|
||
|
||
# 导航到目标页面
|
||
if not await scraper.navigate_to_producthunt(target_url):
|
||
logger.error("页面访问失败")
|
||
return
|
||
|
||
# 提取产品信息
|
||
product_info = await scraper.extract_product_info()
|
||
|
||
if product_info:
|
||
logger.success("产品信息提取完成")
|
||
# 保存产品信息到JSON文件
|
||
import json
|
||
with open("product_info.json", "w", encoding="utf-8") as f:
|
||
json.dump(product_info, f, ensure_ascii=False, indent=2)
|
||
logger.info("产品信息已保存到 product_info.json")
|
||
|
||
# 保存点击和DOM选取行为记录
|
||
await scraper.save_behavior_records()
|
||
logger.info("行为记录已保存到 behavior_records.json")
|
||
else:
|
||
logger.warning("未能提取到产品信息")
|
||
|
||
except Exception as e:
|
||
logger.error(f"执行过程中发生错误: {e}")
|
||
|
||
finally:
|
||
# 关闭连接
|
||
await scraper.close()
|
||
logger.info("任务完成")
|
||
|
||
|
||
if __name__ == "__main__":
|
||
asyncio.run(main()) |