selector=parsel.Selector(html_data)
时间: 2023-06-10 19:06:24 浏览: 185
这段代码使用了Parsel库中的Selector类来解析HTML数据。Parsel是一个基于lxml的轻量级Python库,可以用于解析HTML和XML数据,并提供了类似于XPath的语法来选择和提取数据。在这里,我们使用Selector类来创建一个可以用于选择HTML元素的对象,并将HTML数据作为参数传入。
相关问题
selector=parsel.Selector(html_data)这句代码什么意思,有什么用处
这行代码使用了Python的第三方库Parsel来初始化一个Selector对象,目的是解析一个HTML或XML文档,方便后续对其进行相关操作。具体来说,Selector对象可以用来选择文档中的元素、提取数据、修改文档结构等操作。在爬虫开发中,通常使用Selector对象来解析网页源代码,并提取需要的信息进行进一步处理。
selector = parsel.Selector(html_data) lis = selector.css('.list_item h2 a::attr(href)').getall() details = [] for li in lis: detail_url = 'https://travel.qunar.com' + li detail_html = requests.get(detail_url).text details.append(detail_html) # 输出每个网站的 html 数据 for detail_html in details: print(detail_html) detail_html = requests.get(detail_url).text #解析数据 detail_selector = parsel.Selector(detail_html) title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get() comment = detail_selector.css('.title white::text').get() view_count = detail_selector.css('.view_count::text').get() date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get() days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get() money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get() character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get() play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall() for play in play_list: print(play) print(title, comment, view_count, date, days, money, character, play_list, detail_url) time.sleep(random.randint(3,5))这段代码只能输出最后一个网站的信息 该怎么改
这段代码只能输出最后一个网站的信息是因为在循环中每次请求新的网站信息时都会覆盖前面的信息,需要将每次请求的信息存储到一个列表中,最后再一起处理。
可以尝试如下修改:
```python
selector = parsel.Selector(html_data)
lis = selector.css('.list_item h2 a::attr(href)').getall()
details = []
for li in lis:
detail_url = 'https://travel.qunar.com' + li
detail_html = requests.get(detail_url).text
details.append(detail_html)
time.sleep(random.randint(3, 5)) # 每次请求后等待一段时间,避免请求频繁被封
for detail_html in details:
# 解析数据
detail_selector = parsel.Selector(detail_html)
title = detail_selector.css('.b_crumb_cont *:nth-child(3)::text').get()
comment = detail_selector.css('.title.white::text').get()
view_count = detail_selector.css('.view_count::text').get()
date = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.when > p > span.data::text').get()
days = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howlong > p > span.data::text').get()
money = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.howmuch > p > span.data::text').get()
character = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.who > p > span.data::text').get()
play_list = detail_selector.css('#js_mainleft > div.b_foreword > ul > li.f_item.how > p > span.data > span::text').getall()
for play in play_list:
print(play)
print(title, comment, view_count, date, days, money, character, play_list, detail_url)
```
这样每次请求得到的网站信息都会被存储到 `details` 列表中,最后再遍历处理每个网站的信息。同时,为了避免请求频繁被封,可以在每次请求后等待一段时间。
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