Scrapy框架第一个爬虫项目--汽车之家二手车列表信息抓取
废话不多说,上代码
1、以下代码为spider文件
import scrapy from car_home.items import che168Item class Che168Spider(scrapy.Spider): name = 'che168' allowed_domains = ['che168.com'] start_urls = ['https://www.che168.com/beijing/list/'] def parse(self, response): #获取多个列表页链接,爬取多页数据 max_page = response.xpath('//div[@id="listpagination"]/a/text()')[-1].extract() base_url = 'https://www.che168.com/beijing/a0_0msdgscncgpi1ltocsp{}exx0/' for i in range(1,int(max_page)+1): url = base_url.format(i) yield scrapy.Request(url,callback=self.parse_list) def parse_list(self, response): titles = response.xpath('//div[@class="title"]/a/text()').extract() travel = response.xpath('//div[@class="details"]/ul/li[1]/span[1]/text()').extract() year = response.xpath('//div[@class="details"]/ul/li[2]/span[1]/text()').extract() type = response.xpath('//div[@class="details"]/ul/li[3]/span[1]/text()').extract() address = response.xpath('//div[@class="details"]/ul/li[4]/span[1]/text()').extract() standard = response.xpath('//div[@class="details"]/ul/li[5]/span[1]/text()').extract() nums = response.xpath('//div[@class="details"]/ul/li[6]/span[1]/text()').extract() item = che168Item() for i in range(0,len(titles)): item['titles'] = titles[i] item['travel'] = travel[i] item['year'] = year[i] item['type'] = type[i] item['address'] = address[i] item['standard'] = standard[i] item['nums'] = nums[i] #print(item) yield item
2、items
class che168Item(scrapy.Item): titles =scrapy.Field() travel =scrapy.Field() year =scrapy.Field() type =scrapy.Field() address =scrapy.Field() standard =scrapy.Field() nums =scrapy.Field() def get_insert_sql(self): sql = 'insert into car_home(titles,travel,year,type,address,standard,nums) values(%s, %s, %s, %s, %s, %s, %s)' data = (self['titles'],self['travel'],self['year'],self['type'],self['address'],self['standard'],self['nums']) return (sql,data)
3、pipeline
from car_home.sql_unit import SqlUnit class CarHomePipeline(object): def process_item(self, item, spider): return item class che168Pipeline(object): def process_item(self, item, spider): s = SqlUnit() (sql,data) = item.get_insert_sql() s.execute_sql(sql,data) return item
4、数据库存储封装
import pymysql class SqlUnit(object): def __init__(self): self.db = pymysql.connect("127.0.0.1","root","123456","home") self.cursor = self.db.cursor() def execute_sql(self,sql,data=None): self.cursor.execute(sql,data) self.db.commit() def __del__(self): self.cursor.close() self.db.close()
5、settings中将che168Pipeline加入ITEM_PIPELINES