語言:python 3.6 / 框架: Scrapy 1.5 / 數(shù)據(jù)庫:Mysql 8.0 / IDE: pycharm 1. 生成項目
首先,安裝好基本的軟件。之后到項目文件夾處 按住 shift+右鍵,打開命令行模式。 執(zhí)行 scrapy startproject [項目名] 生成項目文件。cd [項目名] 進入到項目文件夾中后執(zhí)行 scrapy genspider <爬蟲名> <domain/域名(起始頁)> 生成爬蟲文件。
2. 創(chuàng)建數(shù)據(jù)對象 items.py。在mysql中建立對應的數(shù)據(jù)表單。(注意表的字符編碼,這里設置的數(shù)據(jù)編碼是CHARACTER SET utf8 COLLATE utf8_general_ci) class A1688Item_selloffer(scrapy.Item):
title = scrapy.Field() #標題
company = scrapy.Field() #公司
price = scrapy.Field() #售價
sell = scrapy.Field() #30天成交量
method = scrapy.Field() #銷售模式
rebuy = scrapy.Field() #回頭率
address = scrapy.Field() #地址
subicon = scrapy.Field() #服務保障
3.編寫爬蟲邏輯 import scrapy
from bs4 import BeautifulSoup
from A1688.items import A1688Item_selloffer #導入item類
KEYWORD="關(guān)鍵詞"
PAGE='1'
class A1688SellofferSpider(scrapy.Spider):
name = 'A1688-selloffer'
# allowed_domains = ['www.1688.com'] #爬蟲允許爬取的網(wǎng)址域名。
# start_urls = ['https://www.1688.com/'] #需要爬取的鏈接的列表,response對象默認傳遞給 self.parse 函數(shù)處理。
def start_requests(self):
for page in range(1, int(PAGE)+1):
url = 'https://s.1688.com/selloffer/offer_search.htm?keywords=%s&beginPage=%s' % (KEYWORD, page)
yield scrapy.Request(url=url, callback=self.parse)
def parse(self, response):
#實例化一個數(shù)據(jù)模型
item = A1688Item_selloffer()
for tag in response.css('.sw-dpl-offer-item').extract():
try:
# 從response中利用css選擇器提取出來的標簽是文本形式,需要利用 BeautifulSoup 轉(zhuǎn)換成BeautifulSoup.Tag 對象進行進一步提取。
soup = BeautifulSoup(tag, 'lxml')
item['title'] = soup.select(".sw-dpl-offer-photo img")[0].attrs['alt']
item['company'] = soup.select(".sw-dpl-offer-companyName")[0].attrs['title']
item['price'] = soup.select(".sw-dpl-offer-priceNum")[0].attrs['title']
item['sell'] = soup.select(".sm-offer-tradeBt")[0].attrs['title']
item['rebuy'] =soup.select(".sm-widget-offershopwindowshoprepurchaserate span")[2].string
item['method'] = soup.select(".sm-widget-offershopwindowshoprepurchaserate i")[0].string
#對于不一定能獲取的數(shù)據(jù),需要判斷數(shù)據(jù)存在與否。
if soup.select(".sm-offer-location")[0].attrs['title']:
address= soup.select(".sm-offer-location")[0].attrs['title']
else:
address = " "
item['address'] =address
if soup.select(".sm-offer-subicon a"):
subicon = []
for i in soup.select(".sm-offer-subicon a"):
subicon.append(i.attrs['title'] + ',')
print(subicon)
item['subicon']=subicon
else:
item['subicon'] = ' '
#返回這個數(shù)據(jù)模型,交給 ITEM_PIPELINES 處理
yield item
except Exception as error:
yield item
print("出錯了:", error)
continue
4.建立數(shù)據(jù)管道 #連接數(shù)據(jù)庫,獲取cursor以便之后對數(shù)據(jù)就行增刪查改
import pymysql
from A1688 import settings
# 創(chuàng)建DBPipeline類,在其中進行對數(shù)據(jù)庫的操作。
class DBPipeline(object):
def __init__(self):
# 連接數(shù)據(jù)庫??梢栽趕ettings中對數(shù)據(jù)庫連接需要的參數(shù)進行設置
self.connect = pymysql.connect(
host=settings.MYSQL_HOST,
port=settings.MYSQL_PORT,
db=settings.MYSQL_DBNAME,
user=settings.MYSQL_USER,
passwd=settings.MYSQL_PASSWD,
charset='utf8', #注意這里charset屬性為 ‘utf8’,中間沒有-,是因為數(shù)據(jù)庫中的字符名稱就是'utf8'
use_unicode=True)
# 創(chuàng)建數(shù)據(jù)庫游標對象,通過cursor對象對數(shù)據(jù)庫執(zhí)行增刪查改
self.cursor = self.connect.cursor()
print("數(shù)據(jù)庫鏈接成功mysql connect succes")
#重載方法process_item(self, item, spider):
#返回一個具有數(shù)據(jù)的dict,或者item對象,或者拋出DropItem異常,被丟棄的item將不會被之后的pipeline組件所處理
#利用這個方法,可以對item采集的數(shù)據(jù)進行增刪查改,利用cursor執(zhí)行sql語句,然后使用self.connect.commit()提交sql語句
def process_item(self, item, spider):
try:
# 插入數(shù)據(jù)。利用execute()方法執(zhí)行sql語句對數(shù)據(jù)庫進行操作。這里執(zhí)行的是寫入語句 "insert into 表名(列名) value (數(shù)據(jù))"
# 需要注意的是。需要注意的是數(shù)據(jù)庫的編碼格式,以及sql語句的使用規(guī)范。(如varchar 類型的數(shù)據(jù)接收的是字符串,要帶'')
self.cursor.execute(
"insert into a1688item_selloffer (title,company,price,sell,method,rebuy,address,subicon) value (%s,%s,%s,%s,%s,%s,%s,%s)"
[item['title'],item['company'],item['price'],item['sell'],item['method'],item['rebuy'],item['address'],item['subicon']]
)
print("insert success")
# 提交sql語句
self.connect.commit()
except Exception as error:
# 出現(xiàn)錯誤時打印錯誤日志
print('Insert error:', error)
return item
5.修改settings
# 修改USER_AGENT,讓服務器識別爬蟲為瀏覽器
USER_AGENT = "Mozilla/4.0 (compatible; MSIE 6.0; Windows NT 5.1; SV1; AcooBrowser; .NET CLR 1.1.4322; .NET CLR 2.0.50727)"
#設置爬蟲執(zhí)行過程中使用的數(shù)據(jù)處理管道
ITEM_PIPELINES = {
'A1688.pipelines.DBPipeline': 300, #這個數(shù)的范圍是0-1000,這個數(shù)值確定了pipelines的運行順序,數(shù)字越小越優(yōu)先
}
# 設置與數(shù)據(jù)庫連接相關(guān)的變量
MYSQL_HOST = 'localhost' # 主機域名,默認為本地鏈接
MYSQL_PORT = 3306 # 數(shù)據(jù)庫端口,mysql一般默認用3306
MYSQL_DBNAME = 'a1688' # 數(shù)據(jù)庫名字
MYSQL_USER = 'root' # 用戶名
MYSQL_PASSWD = '******' # 用戶密碼
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