
正文
Scrapy项目_苏宁图书信息
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苏宁图书(https://book.suning.com/)
目标:
1、图书一级分类
2、图书二级分类
3、图书三级分类
4、图书名字
5、图书作者
6、图书价格
7、通过Scrapy获取以上数据并存储在MongoDB中
步骤:
1、创建项目
2、编写爬虫
- 发送主页请求,获取响应
- 利用xpath提取一级、二级、三级分类的名称和三级分类对应的图书列表页url
- 对图书列表页发送请求,获取响应
- 利用xpath提取图书的名称、价格信息以及下一页url
3、运行爬虫,保存数据
问题:
1、价格信息的获取,测试发现价格信息不在请求的列表页中。通过抓包确定了价格信息所在的URL,并且该URL随着网页的滚动动态生成,
于是通过对比多个URL,并尝试不断精简,最终发现规律:
url = "https://ds.suning.com/ds/generalForTile/{ }_-010-2-{ }-1--".format(prdid, shopid)
prdid, shopid可以在列表页中提取得到,进而构造出每本图书的价格地址
2、列表页下一页URL,通过判断每一页是否有“下一页”这个标志进行翻页循环
代码:
- item.py
import scrapy class BookItem(scrapy.Item):
book_class1 = scrapy.Field()
book_class2 = scrapy.Field()
book_class3 = scrapy.Field()
book_name = scrapy.Field()
book_author = scrapy.Field()
book_price = scrapy.Field()
- setting.py
BOT_NAME = 'book' SPIDER_MODULES = ['book.spiders']
NEWSPIDER_MODULE = 'book.spiders' LOG_LEVEL = "WARNING"
# Crawl responsibly by identifying yourself (and your website) on the user-agent
USER_AGENT = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.111 Safari/537.36' # Obey robots.txt rules
ROBOTSTXT_OBEY = True # Configure maximum concurrent requests performed by Scrapy (default: 16)
#CONCURRENT_REQUESTS = 32 # Configure a delay for requests for the same website (default: 0)
# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
# See also autothrottle settings and docs
DOWNLOAD_DELAY = 3
# The download delay setting will honor only one of:
#CONCURRENT_REQUESTS_PER_DOMAIN = 16
#CONCURRENT_REQUESTS_PER_IP = 16 # Disable cookies (enabled by default)
#COOKIES_ENABLED = False # Disable Telnet Console (enabled by default)
#TELNETCONSOLE_ENABLED = False # Override the default request headers:
#DEFAULT_REQUEST_HEADERS = {
# 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8',
# 'Accept-Language': 'en',
#} # Enable or disable spider middlewares
# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
#SPIDER_MIDDLEWARES = {
# 'book.middlewares.BookSpiderMiddleware': 543,
#} # Enable or disable downloader middlewares
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
#DOWNLOADER_MIDDLEWARES = {
# 'book.middlewares.BookDownloaderMiddleware': 543,
#} # Enable or disable extensions
# See https://docs.scrapy.org/en/latest/topics/extensions.html
#EXTENSIONS = {
# 'scrapy.extensions.telnet.TelnetConsole': None,
#} # Configure item pipelines
# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
ITEM_PIPELINES = {
'book.pipelines.BookPipeline': 300,
} # Enable and configure the AutoThrottle extension (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
#AUTOTHROTTLE_ENABLED = True
# The initial download delay
#AUTOTHROTTLE_START_DELAY = 5
# The maximum download delay to be set in case of high latencies
#AUTOTHROTTLE_MAX_DELAY = 60
# The average number of requests Scrapy should be sending in parallel to
# each remote server
#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
# Enable showing throttling stats for every response received:
#AUTOTHROTTLE_DEBUG = False # Enable and configure HTTP caching (disabled by default)
# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
#HTTPCACHE_ENABLED = True
#HTTPCACHE_EXPIRATION_SECS = 0
#HTTPCACHE_DIR = 'httpcache'
#HTTPCACHE_IGNORE_HTTP_CODES = []
#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage' # MONGODB 主机名
MONGODB_HOST = "127.0.0.1"
# MONGODB 端口号
MONGODB_PORT = 27017
# 数据库名称
MONGODB_DBNAME = "book"
# 存放数据的表名称
MONGODB_SHEETNAME = "book"
- pipeline.py
from itemadapter import ItemAdapter
import pymongo
from scrapy.utils.project import get_project_settings
settings = get_project_settings() class BookPipeline:
def __init__(self):
host = settings["MONGODB_HOST"]
port = settings["MONGODB_PORT"]
dbname = settings["MONGODB_DBNAME"]
sheetname = settings["MONGODB_SHEETNAME"]
# 创建MONGODB数据库链接
client = pymongo.MongoClient(host=host, port=port)
# 指定数据库
mydb = client[dbname]
# 存放数据的数据库表名
self.post = mydb[sheetname] def process_item(self, item, spider):
data = dict(item)
self.post.insert(data)
print(item)
return item
- spider.py
import scrapy
from book.items import BookItem
import re
import json class SuningSpider(scrapy.Spider):
name = 'suning'
allowed_domains = ['suning.com']
start_urls = ['https://book.suning.com/'] def parse(self, response):
class1_list = response.xpath("//div[@class='menu-item'][position()<8]")
loc2 = "//div[@class='menu-sub'][{}]/div[@class='submenu-left']/p" # 二级分类定位
loc3 = "//div[@class='menu-sub'][{}]/div[@class='submenu-left']/ul/li" # 三级分类定位
for class1 in class1_list:
item = BookItem()
item["book_class1"] = class1.xpath(".//h3/a/text()").extract_first() # 一级分类
for class2 in response.xpath(loc2.format(class1_list.index(class1) + 1)):
item["book_class2"] = class2.xpath("./a/text()").extract_first() # 二级分类
for class3 in response.xpath(loc3.format(class1_list.index(class1) + 1)):
item["book_class3"] = class3.xpath("./a/text()").extract_first() # 三级分类
book_list_href = class3.xpath("./a/@href").extract_first() # 图书列表页url
yield scrapy.Request(book_list_href, callback=self.parse_book_list, meta={"item": item}) # 图书列表页请求方法
def parse_book_list(self, response):
# 通过meta参数实现item的传递
item = response.meta["item"]
book_list = response.xpath("//div[@class='img-block']/a")
for book in book_list:
prdid = eval(book.xpath("./@sa-data").extract_first())["prdid"]
shopid = eval(book.xpath("./@sa-data").extract_first())["shopid"]
# 构建价格信息所在的url
book_price_url = "https://ds.suning.com/ds/generalForTile/{}_-010-2-{}-1--".format(prdid, shopid)
# 图书详情页URL
book_href = "https:" + book.xpath("./@href").extract_first()
yield scrapy.Request(book_price_url, callback=self.parse_book_price, meta={"item": item})
yield scrapy.Request(book_href, callback=self.parse_book_detail, meta={"item": item}) # 下一页URL
next_url_tmp = response.xpath("//a[@title='下一页']/@href").extract_first()
if next_url_tmp is not None:
next_url = "https://list.suning.com" + next_url_tmp
yield scrapy.Request(next_url, callback=self.parse_book_list) # 图书价格获取方法
def parse_book_price(self, response):
item = response.meta["item"]
item["book_price"] = json.loads(response.text)["rs"][0]["price"] # 图书详情页处理方法
def parse_book_detail(self, response):
item = response.meta["item"]
# 图书名字
item["book_name"] = "".join(response.xpath("//div[@class='proinfo-title']/h1/text()").extract()).strip()
# 图书作者
author = response.xpath("//li[@class='pb-item']/text()").extract_first()
# 图书作者信息字符串处理
if author is not None:
item["book_author"] = re.sub(r"\n|\t|\s", "", author)
yield item







