amazon图书信息爬取

效果

分析

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version_0

amazon在下页请求这儿有反扒机制，下页的book_info请求不到，也可能是因为book_info的xpath没有写好，可以用re尝试一下，响应的数据是正确的

注意设置一下请求频率，太快会无法获取到数据

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源码

# -*- coding: utf-8 -*-
import scrapy
from urllib import parse
from copy import deepcopy
from pprint import pprint
import re


class YmxtsSpider(scrapy.Spider):
    name = 'ymxts'
    allowed_domains = ['amazon.cn']
    start_urls = ['https://static.amazon.cn/b?node=658390051']

    def process_info(self,con_list):
        """传入一个列表，处理空字符串并将字段拼接在一起"""
        con_list = [re.sub(r"s|
", '', i).strip() for i in con_list if i]
        s = str()
        for a_ in con_list:
            s += a_
        return s

    def parse(self, response):
        # 提取信息
        li_list = response.xpath("//div[@id='leftNav']/ul[1]/ul/div/li")
        for li in li_list:
            item = dict()
            # 获取大标题和大标题链接
            item["b_cate"] = li.xpath(".//text()").extract_first()
            b_cate_href = li.xpath(".//a/@href").extract_first()
            yield scrapy.Request(
                url = parse.urljoin(response.url,b_cate_href),
                callback=self.parse_b_cate_href,
                meta={"item":item}
            )

    def parse_b_cate_href(self,response):
        item = response.meta["item"]
        li_list = response.xpath("//ul[@class='a-unordered-list a-nostyle a-vertical s-ref-indent-two']/div/li")
        for li in li_list:
            # 获取小标题
            item["s_cate"] = li.xpath(".//text()").extract_first()
            s_cate_href = li.xpath(".//a/@href").extract_first()
            yield scrapy.Request(
                url=parse.urljoin(response.url,s_cate_href),
                callback=self.parse_s_cate_href,
                meta={"item":item}
            )

    def parse_s_cate_href(self,response):
        item = response.meta["item"]
        li_list = response.xpath("//div[@id='mainResults']/ul/li")
        for li in li_list:
            book_info = dict()
            book_info["title"] = li.xpath(".//div[@class='a-row a-spacing-none scx-truncate-medium sx-line-clamp-2']/a/@title").extract_first()
            book_info["href"] = li.xpath(".//div[@class='a-row a-spacing-none scx-truncate-medium sx-line-clamp-2']/a/@href").extract_first()
            book_info["author"] = li.xpath(".//div[@class='a-row a-spacing-none']//text()").extract()
            book_info["author"] = self.process_info(book_info["author"])
            book_info["price"] = li.xpath(".//span[@class='a-size-base a-color-price s-price a-text-bold']/text()").extract_first()
            item["book_info"] = book_info
            pprint(item)
        # amazon在下页请求这儿有反扒机制，下页的book_info请求不到，也可能是因为book_info的xpath没有写好，可以用re尝试一下，响应的数据是正确的
        # print(response.url)
        next_url = response.xpath("//a[@class='pagnNext']/@href").extract_first()
        if next_url is None:
            next_url = response.xpath("//li[@class='a-last']//a/@href").extract_first()

        if next_url is not None:
            yield scrapy.Request(
                url=parse.urljoin(response.url,next_url),
                callback=self.parse_s_cate_href,
                meta={"item":item}
            )