scrapy爬虫储存到mysql_Scrapy爬虫案例 | 数据存储至MySQL

首先，MySQL创建好数据库和表

image

然后编写各个模块

item.py

import scrapy

class JianliItem(scrapy.Item):

name = scrapy.Field()

url = scrapy.Field()

pipeline.py

import pymysql #导入数据库的类

class JianliPipeline(object):

conn = None

cursor = None

def open_spider(self,spider):

print(‘开始爬虫’)

self.conn = pymysql.Connect(host=’127.0.0.1′,port=3306,user=’root’,password=”,db=’jianli’) #链接数据库

def process_item(self, item, spider): #编写向数据库中存储数据的相关代码

self.cursor = self.conn.cursor() #1.链接数据库

sql = ‘insert into jl values(“%s”,”%s”)’%(item[‘name’],item[‘url’]) #2.执行sql语句

try: #执行事务

self.cursor.execute(sql)

self.conn.commit()

except Exception as e:

print(e)

self.conn.rollback()

return item

def close_spider(self,spider):

print(‘爬虫结束’)

self.cursor.close()

self.conn.close()

spider

# -*- coding: utf-8 -*-

import scrapy

import re

from lxml import etree

from jianli.items import JianliItem

class FxhSpider(scrapy.Spider):

name = ‘jl’

# allowed_domains = [‘feixiaohao.com’]

start_urls = [‘http://sc.chinaz.com/jianli/free_{}.html’.format(i) for i in range(3)]

def parse(self,response):

tree = etree.HTML(response.text)

a_list = tree.xpath(‘//div[@id=”container”]/div/a’)

for a in a_list:

item = JianliItem (

name=a.xpath(“./img/@alt”)[0],

url=a.xpath(“./@href”)[0]

)

yield item

settings.py

#USER_AGENT

headers = {

“user-agent”:”Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/54.0.2840.99 Safari/537.36″

}

# Obey robots.txt rules

ROBOTSTXT_OBEY = False

# Configure item pipelines

# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html

ITEM_PIPELINES = {

‘jianli.pipelines.JianliPipeline’: 300,

}

查看存储情况

image