首页 > 代码库 > pyspider示例代码三:用PyQuery解析页面数据
pyspider示例代码三:用PyQuery解析页面数据
本系列文章主要记录和讲解pyspider的示例代码,希望能抛砖引玉。pyspider示例代码官方网站是http://demo.pyspider.org/。上面的示例代码太多,无从下手。因此本人找出一下比较经典的示例进行简单讲解,希望对新手有一些帮助。
示例说明:
本示例主要是PyQuery解析返回的response页面数据。response.doc解析页面数据是pyspider的主要用法,应该熟练掌握基本使用方法。其他返回类型示例见后续文章。
pyspider爬取的内容通过回调的参数response返回,response有多种解析方式。
1、response.json用于解析json数据
2、response.doc返回的是PyQuery对象
3、response.etree返回的是lxml对象
4、response.text返回的是unicode文本
5、response.content返回的是字节码
使用方法:
PyQuery可以采用CSS选择器作为参数对网页进行解析。 关于PyQuery更多用法,可以参考PyQuery complete API。
PyQuery官方参考手册: https://pythonhosted.org/pyquery/
response.doc(‘.ml.mlt.mtw.cl > li‘).items() response.doc(‘.pti > .pdbt > .authi > em > span‘).attr(‘title‘)
CSS选择器:更多详情请参考CSS Selector Reference
选择器 | 示例 | 示例说明 |
---|---|---|
.class | .intro | Selects all elements with class=”intro” |
#id | #firstname | Selects the element with id=”firstname” |
element | p | Selects all <p> elements |
element,element | div, p | Selects all <div> elements and all <p> elements |
element element | div p | Selects all <p> elements inside <div> elements |
element>element | div > p | Selects all <p> elements where the parent is a <div> element |
[attribute] | [target] | Selects all elements with a target attribute |
[attribute=value] | [target=_blank] | Selects all elements with target=”_blank” |
[attribute^=value] | a[href^=”https”] | Selects every <a> element whose href attribute value begins with “https” |
[attribute$=value] | a[href$=”.pdf”] | Selects every <a> element whose href attribute value ends with “.pdf” |
[attribute*=value] | a[href*=”w3schools”] | Selects every <a> element whose href attribute value contains the substring “w3schools” |
:checked | input:checked | Selects every checked <input> element |
示例代码:
1、PyQuery基本语法应用
#!/usr/bin/env python # -*- encoding: utf-8 -*- # Created on 2016-10-09 15:16:04 # Project: douban_rent from pyspider.libs.base_handler import * groups = {‘上海租房‘: ‘https://www.douban.com/group/shanghaizufang/discussion?start=‘, ‘上海租房@长宁租房/徐汇/静安租房‘: ‘https://www.douban.com/group/zufan/discussion?start=‘, ‘上海短租日租小组 ‘: ‘https://www.douban.com/group/chuzu/discussion?start=‘, ‘上海短租‘: ‘https://www.douban.com/group/275832/discussion?start=‘, } class Handler(BaseHandler): crawl_config = { } @every(minutes=24 * 60) def on_start(self): for i in groups: url = groups[i] + ‘0‘ self.crawl(url, callback=self.index_page, validate_cert=False) @config(age=10 * 24 * 60 * 60) def index_page(self, response): for each in response.doc(‘.olt .title a‘).items(): self.crawl(each.attr.href, callback=self.detail_page) #next page for each in response.doc(‘.next a‘).items(): self.crawl(each.attr.href, callback=self.index_page) @config(priority=2) def detail_page(self, response): count_not=0 notlist=[] for i in response.doc(‘.bg-img-green a‘).items(): if i.text() <> response.doc(‘.from a‘).text(): count_not +=1 notlist.append(i.text()) for i in notlist: print i return { "url": response.url, "title": response.doc(‘title‘).text(), "author": response.doc(‘.from a‘).text(), "time": response.doc(‘.color-green‘).text(), "content": response.doc(‘#link-report p‘).text(), "回应数": len([x.text() for x in response.doc(‘h4‘).items()]) , # "最后回帖时间": [x for x in response.doc(‘.pubtime‘).items()][-1].text(), "非lz回帖数": count_not, "非lz回帖人数": len(set(notlist)), # "主演": [x.text() for x in response.doc(‘.actor a‘).items()], }
2、PyQuery基本语法应用
#!/usr/bin/env python # -*- encoding: utf-8 -*- # Created on 2015-10-09 09:00:10 # Project: learn_pyspider_db from pyspider.libs.base_handler import * import re class Handler(BaseHandler): crawl_config = { } @every(minutes=24 * 60) def on_start(self): self.crawl(‘http://movie.douban.com/tag/‘, callback=self.index_page) @config(age=10 * 24 * 60 * 60) def index_page(self, response): for each in response.doc(‘.tagCol a‘).items(): self.crawl(each.attr.href, callback=self.list_tag_page) @config(age=10 * 24 * 60 * 60) def list_tag_page(self, response): all = response.doc(‘.more-links‘) self.crawl(all.attr.href, callback=self.list_page) @config(age=10*24*60*60) def list_page(self, response): for each in response.doc(‘.title‘).items(): self.crawl(each.attr.href, callback=self.detail_page) # craw the next page next_page = response.doc(‘.next > a‘) self.crawl(next_page.attr.href, callback=self.list_page) @config(priority=2) def detail_page(self, response): director = ‘‘ for item in response.doc(‘#info > span > .pl‘): if item.text == u‘导演‘: next_item = item.getnext() director = next_item.getchildren()[0].text break return { "url": response.url, "title": response.doc(‘title‘).text(), "director": director, }
3、PyQuery复杂选择及翻页处理
#!/usr/bin/env python # -*- encoding: utf-8 -*- # Created on 2016-10-12 06:39:31 # Project: qx_zj_poi2 import re from pyspider.libs.base_handler import * class Handler(BaseHandler): crawl_config = { } @every(minutes=24 * 60) def on_start(self): self.crawl(‘http://www.poi86.com/poi/amap/province/330000.html‘, callback=self.city_page) @config(age=24 * 60 * 60) def city_page(self, response): for each in response.doc(‘body > div:nth-child(2) > div > div.panel-body > ul > li > a‘).items(): self.crawl(each.attr.href, callback=self.district_page) @config(age=24 * 60 * 60) def district_page(self, response): for each in response.doc(‘body > div:nth-child(2) > div > div.panel-body > ul > li > a‘).items(): self.crawl(each.attr.href, callback=self.poi_idx_page) @config(age=24 * 60 * 60) def poi_idx_page(self, response): for each in response.doc(‘td > a‘).items(): self.crawl(each.attr.href, callback=self.poi_dtl_page) # 翻页 for each in response.doc(‘body > div:nth-child(2) > div > div.panel-body > div > ul > li:nth-child(13) > a‘).items(): self.crawl(each.attr.href, callback=self.poi_idx_page) @config(priority=100) def poi_dtl_page(self, response): return { "url": response.url, "id": re.findall(‘\d+‘,response.url)[1], "name": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-heading > h1‘).text(), "province": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(1) > a‘).text(), "city": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(2) > a‘).text(), "district": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(3) > a‘).text(), "addr": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(4)‘).text(), "tel": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(5)‘).text(), "type": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(6)‘).text(), "dd_map": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(7)‘).text(), "hx_map": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(8)‘).text(), "bd_map": response.doc(‘body > div:nth-child(2) > div:nth-child(2) > div.panel-body > ul > li:nth-child(9)‘).text(), }
pyspider示例代码三:用PyQuery解析页面数据
声明:以上内容来自用户投稿及互联网公开渠道收集整理发布,本网站不拥有所有权,未作人工编辑处理,也不承担相关法律责任,若内容有误或涉及侵权可进行投诉: 投诉/举报 工作人员会在5个工作日内联系你,一经查实,本站将立刻删除涉嫌侵权内容。