以' 中国银行保险报' 资讯爬取MongoDB入库 为例, 不讲原理, 只为程序化的工作服务.scrapy每次根据不同的网站只需更改少量地方就可实现信息抓取
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一, 准备阶段
1, 建立项目目录
终端 (terminal) 输入：scrapy startproject general_spider(name随意)
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2, 进入项目, 看名字大概知道每个文件的含义:
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右键将项目作为根目录:
WX20220104-120448.png
3, 修改配置文件settings,
#开始改的不多, 这些本地调试足够了, 后期功能增加再改来得及:
ROBOTSTXT_OBEY = False
ITEM_PIPELINES = {
'general_spider.pipelines.PipelineDB': 300,
}
MONGO_URL='xxxxxx'
DOWNLOADER_MIDDLEWARES = {
'general_spider.middlewares.MyUserAgentMiddleware': 600,
'scrapy.downloadermiddlewares.useragent.UserAgentMiddleware': None,
'general_spider.middlewares.ProxyMiddleware': 350,# 没有代理可以注释
'scrapy.downloadermiddlewares.httpproxy.HttpProxyMiddleware': 400,# 没有代理可以注释
}
# 日志
LOG_LEVEL = 'WARNING'#DEBUG ,INFO ,ERROR ,CRITICAL ,
LOG_FILE = './log.log'
#UA 网上一大堆, 复制过来就行
USER_AGENT = [
'Mozilla/5.0 (Linux; Android 6.0; Nexus 5 Build/MRA58N) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.132 Mobile Safari/537.36',
'Mozilla/5.0 (iPhone; CPU iPhone OS 10_2 like Mac OS X) AppleWebKit/602.3.12 (KHTML, like Gecko) Mobile/14C92 MicroMessenger/6.5.16 NetType/WIFI Language/zh_CN',
'Mozilla/5.0 (Linux; U; Android 5.1.1; zh-cn; MI 4S Build/LMY47V) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/53.0.2785.146 Mobile Safari/537.36 XiaoMi/MiuiBrowser/9.1.3',
'Mozilla/5.0 (iPhone; CPU iPhone OS 10_2 like Mac OS X) AppleWebKit/602.3.12 (KHTML, like Gecko) Mobile/14C92 MicroMessenger/6.5.16 NetType/WIFI Language/zh_CN',
'Mozilla/5.0 (Linux; U; Android 5.1.1; zh-cn; MI 4S Build/LMY47V) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/53.0.2785.146 Mobile Safari/537.36 XiaoMi/MiuiBrowser/9.1.3',
'Mozilla/5.0 (Linux; U; Android 7.0; zh-CN; SM-G9550 Build/NRD90M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/40.0.2214.89 UCBrowser/11.7.0.953 Mobile Safari/537.36',
'Mozilla/5.0 (Linux; U; Android 6.0.1; zh-CN; SM-C7000 Build/MMB29M) AppleWebKit/537.36 (KHTML, like Gecko) Version/4.0 Chrome/40.0.2214.89 UCBrowser/11.6.2.948 Mobile Safari/537.36',
]
4,修改中间件middlewares.py
# 保留这个换UA 的class, IP
class MyUserAgentMiddleware(UserAgentMiddleware):
'''
设置User-Agent
'''
def __init__(self, user_agent):
self.user_agent = user_agent
@classmethod
def from_crawler(cls, crawler):
return cls(
user_agent=crawler.settings.get('USER_AGENT')
)
def process_request(self, request, spider):
agent = random.choice(self.user_agent)
request.headers['User-Agent'] = agent
class ProxyMiddleware():
''' 换ip, 这里以阿布云为例'''
def __init__(self, settings):
self.logger = logging.getLogger(__name__)
self.settings = settings
self.proxy_type = self.settings.get('GET_PROXY_TYPE', 'no')
self.last_fetch_proxy_time = time.time()
@classmethod
def from_crawler(cls, crawler):
return cls(crawler.settings)
def process_request(self, request, spider):
# 设置headers Connection: close
request.headers['Connection'] = 'close'
proxyServer, proxyAuth = get_abuyun_pro()
request.meta["proxy"] = proxyServer
request.headers["Proxy-Authorization"] = proxyAuth
request.headers["Proxy-Switch-Ip"] = 'yes'
5, 修改pipeline.py, 增加入库功能(这里以MongoDB为例):
from pymongo import MongoClient
from general_spider import settings
class PipelineDB(object):
def __init__(self, logger, client):
self.logger = logger
self.client = client
self.collection = self.client['pa_crawler']
@classmethod
def from_crawler(cls, crawler):
return cls(
logger=crawler.spider.logger,
client=MongoClient(settings.MONGO_URL, maxPoolSize=10)
)
def process_item(self, item, spider):
table_name = 'xxxx' #表明字
# 如果文章存在, 不存该条
if self.collection[table_name].find({'article_title': item["article_title"]}).count() == 0:
# 这里存的是格式化好 的数据
self.collection[table_name].insert(item)
self.logger.info(f'{table_name}-{item["article_title"]},提交数据到 mongo 成功')
return item
else:
self.logger.info(f'{table_name}-{item["article_title"]},mongo数据库已经存在, 舍弃')
return item
def close_spider(self, spider):
self.client.close()
6, 修改items.py, 入库的字段
import scrapy
class BadouItem(scrapy.Item):
# define the fields for your item here like:
article_title = scrapy.Field()#标题
article_content_html = scrapy.Field()#原始内容
article_content_raw = scrapy.Field()#纯文字内容，去除html标签
article_content = scrapy.Field()#纯文字内容+图片url(插在文章里)
article_cover = scrapy.Field()#封面
crawl_date = scrapy.Field()#抓取时间
ref_url = scrapy.Field()#文章url
publish_time = scrapy.Field()#发布时间
site = scrapy.Field()#平台
pictures = scrapy.Field()#文章原始图片
_id = scrapy.Field()#文章原始图片
二, 编写爬虫代码
在spiders里建一个.py文件
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class Baoxianbao(scrapy.Spider):
'''
中国银行保险报 资讯
'''
name='baoxianbao'# spider的名字,
start_urls=['http://www.cbimc.cn/']# 域名
def start_requests(self):
self.headers = {
'Connection': 'keep-alive',
'Upgrade-Insecure-Requests': '1',
'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/96.0.4664.110 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
'Referer': 'http://www.cbimc.cn/node_7037.html',
'Accept-Language': 'zh-CN,zh;q=0.9',
}
for category in ['07','08',10,12,16,18,29,32,33,34,35,36,37,38,39]:#每个分类
url=f'http://www.cbimc.cn/node_70{category}.html'
#post -->scrapy.FormRequest(...)
yield scrapy.Request(url, headers=self.headers, callback=self.parse)
def parse(self,response):
# 文章链接, 标题, 封面, 发布时间
urls=response.xpath('//div[@class="list nav_left_a1"]//li[@class="list_item"]/a/@href').extract()
titles=response.xpath('//div[@class="list nav_left_a1"]//li[@class="list_item"]//h1/text()').extract()
article_covers=response.xpath('//div[@class="list nav_left_a1"]//li[@class="list_item"]//img/@src').extract()
publish_times=response.xpath('//div[@class="list nav_left_a1"]//li[@class="list_item"]//span/text()').extract()
for url,title,article_cover,publish_time in zip(urls,titles,article_covers,publish_times):
item=BadouItem()
item['publish_time']=publish_time
item['article_cover']=article_cover
item['article_title']=title
item['ref_url'] =url
item['crawl_date'] = str(datetime.datetime.now()).split('.')[0] # 抓取时间
_id=url.split('_')[-1].split('.')[0]
# meta为传递的变量, json格式
yield scrapy.Request(url, headers=self.headers, callback=self.parse_content,meta=item)
def parse_content(self,response):
item=response.meta
text=response.text
content=scrapy.Selector(text=text).css('.detail-d').extract_first()
item['article_content_html'] = content# 原始内容
article_content_raw,pictures,article_content=parse_content(content)
item['article_content_raw']=article_content_raw#纯文字内容，去除html标签
item['article_content']=article_content#纯文字内容+图片url(插在文章里)
item['site']='中国银行保险报'
item['pictures']=pictures#图片
yield item
三, 编写run.py
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# 第一种运行方法
from scrapy.cmdline import execute
execute(['scrapy', 'crawl', 'baoxianbao'])
# execute(['scrapy', 'crawl', '第二个爬虫名字'])# 多个爬虫复制一行就OK
# 第二种运行方法
from scrapy.crawler import CrawlerProcess
from scrapy.utils.project import get_project_settings
process = CrawlerProcess(get_project_settings())
process.crawl('baoxianbao')
#process.crawl('第二个爬虫名字')# 多个爬虫复制一行就OK
process.start()
run起来, 结果刚好抓了100条(剔除了几个老新闻):
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看看MongoDB里badou这张表:
WX20220104-134259@2x.png
附: 有一个文章解析方法parse_content(), 目的是HTML提取纯文本和图片:
def parse_content(content):
'''去除HTML标签, 保留文字, 图片'''
html_ = etree.HTML(content)
# 纯文字
article_content_raw = re.sub('<.*?>', '', content).replace(' ', '\n') # html_.xpath('string(.)')
# 图片
pictures_html = re.findall('<img.*?>', content)
pictures = []
# 图文
for pic_html in pictures_html:
pic = re.findall(r'img.*?(http.*?)\"', pic_html)[0]
pictures.append(pic)
content = content.replace(pic_html, pic)
# content=etree.HTML(content)
article_content = re.sub('<.*?>', '', content).replace(' ', '')
return article_content_raw, pictures, article_content
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