# 简书网
# 数据保存在mysql中; 将selenium+chromedriver集成到scrapy; 整个网站数据爬取
# 抓取ajax数据
#爬虫文件
# -*- coding: utf-8 -*-
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from jianshu_spider.items import ArticleItem
class JsSpider(CrawlSpider):
name = 'js'
allowed_domains = ['jianshu.com']
start_urls = ['https://www.jianshu.com/'] # 从首页开始爬去
rules = (
# 详情页里面下面推荐的文章的href直接就是/p/.......
Rule(LinkExtractor(allow=r'.*/p/[0-9a-z]{12}.*'),
callback='parse_detail', follow=True),
)
def parse_detail(self, response):
# print(response.text)
title = response.xpath("//div[@class='note']/div[@class='post']/div[@class='article']/h1[@class='title']/text()").get()
# print(title)
avatar = response.xpath("//a[@class='avatar']/img/@src").get()
# print(avatar)
author = response.xpath("//span[@class='name']/a/text()").get()
# print(author)
pub_time = response.xpath("//span[@class='publish-time']/text()").get().replace("*","")
# print(pub_time)
# url正常情况下里面只有一个?
url = response.url
url1 = url.split("?")[0]
article_id = url1.split("/")[-1]
# print(article_id)
# 把html标签一起趴下来, 方便以后展示
content = response.xpath("//div[@class='show-content']").get()
# print(content)
item = ArticleItem(
title=title,
avatar=avatar,
author=author,
pub_time=pub_time,
origin_url=response.url,
article_id=article_id,
content=content
)
yield item
# item文件
import scrapy
class ArticleItem(scrapy.Item):
# define the fields for your item here like:
title = scrapy.Field()
content = scrapy.Field()
article_id = scrapy.Field()
origin_url = scrapy.Field()
author = scrapy.Field()
avatar = scrapy.Field()
pub_time = scrapy.Field()
# pipeline文件 保存在mysql中
import pymysql
from twisted.enterprise import adbapi # 专门做数据库处理的模块
from pymysql import cursors
class JianshuSpiderPipeline(object):
def __init__(self):
dbparams={
'host':'127.0.0.1',
'port':3306,
'user':'root',
'password':'',
'database':'jianshu',
'charset':'utf8'
}
self.conn = pymysql.connect(**dbparams)
# **dbparams 相当于把 host='127.0.0.1' 写在了括号里
self.cursor = self.conn.cursor()
self._sql = None
def process_item(self, item, spider):
self.cursor.execute(self.sql,(item['title'],item['content'],item['author'],item['avatar'],
item['pub_time'],item['origin_url'],item['article_id']))
self.conn.commit() # 这个是同步进行的 比较慢
return item
@property
def sql(self):
if not self._sql: # 如果没有 执行
self._sql = '''
insert into article2(id,title,content,author,avatar,pub_time,
origin_url,article_id) values(null,%s,%s,%s,%s,%s,%s,%s)
'''
return self._sql
else:
return self._sql
# 优化上面的pipeline文件, 实现异步保存
# 使用twisted 提供的数据库连接池 ConnectionPool,把插入数据的动作变成异步的 (面试可以说)
# 上面的存储是同步 比较慢, 现在优化成异步
class JianshuTwistedPipeline(object):
def __init__(self):
# 创建连接池
dbparams = {
'host': '127.0.0.1',
'port': 3306,
'user': 'root',
'password': '',
'database': 'jianshu',
'charset': 'utf8',
'cursorclass':cursors.DictCursor
}
self.dbpool = adbapi.ConnectionPool('pymysql',**dbparams)
self._sql = None
@property
def sql(self):
if not self._sql: # 如果没有 执行
self._sql = '''
insert into article2(id,title,content,author,avatar,pub_time,
origin_url,article_id) values(null,%s,%s,%s,%s,%s,%s,%s)
'''
return self._sql
else:
return self._sql
def process_item(self,item,spider):
# runInteraction执行异步的
defer = self.dbpool.runInteraction(self.insert_item,item)
defer.addErrback(self.handle_error,item,spider)
def insert_item(self,cursor,item): # 插入数据库
cursor.execute(self.sql,(item['title'],item['content'],item['author'],item['avatar'],
item['pub_time'],item['origin_url'],item['article_id']))
def handle_error(self,error,item,spider):
print('='*20)
print("error:",error)
print('='*20)
# 把settings中的pipeline文件改一下
ITEM_PIPELINES = {
# 'jianshu_spider.pipelines.JianshuSpiderPipeline': 300,
'jianshu_spider.pipelines.JianshuTwistedPipeline': 300, # 异步保存数据
}
# 优化动态数据 处理ajax加载进来的数据
# selenium+chromdriver 处理
# 爬虫文件 把阅读量,点赞数,文章字数,标题分类,评论数 字段获取,保存到item中
def parse_detail(self, response):
# print(response.text)
title = response.xpath("//div[@class='note']/div[@class='post']/div[@class='article']/h1[@class='title']/text()").get()
print(title)
avatar = response.xpath("//a[@class='avatar']/img/@src").get()
# print(avatar)
author = response.xpath("//span[@class='name']/a/text()").get()
# print(author)
pub_time = response.xpath("//span[@class='publish-time']/text()").get().replace("*","")
# print(pub_time)
# url正常情况下里面只有一个?
url = response.url
url1 = url.split("?")[0]
article_id = url1.split("/")[-1]
# print(article_id)
# 把html标签一起趴下来, 方便以后展示
content = response.xpath("//div[@class='show-content']").get()
# print(content)
# 动态获取下面的数据
word_count = response.xpath("//span[@class='wordage']/text()").get().split(" ")[-1]
read_count = response.xpath("//span[@class='views-count']/text()").get().split(" ")[-1]
comment_count = response.xpath("//span[@class='comments-count']/text()").get().split(" ")[-1]
like_count = response.xpath("//span[@class='likes-count']/text()").get().split(" ")[-1]
subject = response.xpath("//div[@class='include-collection']/a/div/text()").getall()
# subject 获取的时候一个列表 存到mysql的时候不支持, 需要把列表转成字符串
subject = ",".join(subject)
item = ArticleItem(
title=title,
avatar=avatar,
author=author,
pub_time=pub_time,
origin_url=response.url,
article_id=article_id,
content=content,
word_count=word_count,
read_count=read_count,
comment_count=comment_count,
like_count=like_count,
subject=subject,
)
yield item
# 管道文件
# 上面的存储是同步 比较慢, 现在优化成异步
class JianshuTwistedPipeline(object):
def __init__(self):
# 创建连接池
dbparams = {
'host': '127.0.0.1',
'port': 3306,
'user': 'root',
'password': '',
'database': 'jianshu',
'charset': 'utf8',
'cursorclass':cursors.DictCursor
}
self.dbpool = adbapi.ConnectionPool('pymysql',**dbparams)
self._sql = None
@property
def sql(self):
if not self._sql: # 如果没有 执行
self._sql = '''
insert into article2(id,title,content,author,avatar,pub_time,
origin_url,article_id,read_count, word_count, like_count, comment_count,subject)
values(null,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)
'''
#
return self._sql
else:
return self._sql
def process_item(self,item,spider):
# runInteraction执行异步的
defer = self.dbpool.runInteraction(self.insert_item,item)
defer.addErrback(self.handle_error,item,spider)
def insert_item(self,cursor,item): # 插入数据库
cursor.execute(self.sql,(item['title'],item['content'],item['author'],item['avatar'],
item['pub_time'],item['origin_url'],item['article_id'],
item['read_count'],item['word_count'],item['like_count'],item['comment_count'],item['subject']))
def handle_error(self,error,item,spider):
print('='*20+'error'+'='*20)
print("error:",error)
print('='*20+'error'+'='*20)