声明：
1、本博客所涉及爬虫及其爬取的数据仅用于爬虫技术研究，请勿用于商业用途。
2、本博文中涉及的网址均已隐去关键字段。

在上一篇博文基础上改用另一种方法。
（上一篇博文地址：//www.greatytc.com/p/1279a13bd1a3）

# -*- coding: utf-8 -*-
import scrapy
from testscrapy01.items import  xxxx_Zhuanli_Item
from scrapy.selector import Selector
import re

class QibebtZhuanliSpider(scrapy.Spider):
    name = "xxxx_zhuanli"
    allowed_domains = ["xxxx.cas.cn"]
    start_urls = ['http://www.xxxx.cas.cn/kycg/zl/']

    # for i in range(1,15):
    #     start_urls.append("http://www.xxxx.cas.cn/kycg/zl/index_" + str(i) +".html")

    def parse(self, response):
        #请求第一页
        yield scrapy.Request(response.url, callback=self.parse_zhuanli)

        for i in range(1,15):
            url = "http://www.qibebt.cas.cn/kycg/zl/index_" + str(i) + ".html"
            # 获取当前页面的url：respone.url
            # 通过拼接response.url和href.extract()，将相对网址转换为绝对网址
            # url = response.urljoin(url)
            # print("完整url是：",url)
            yield scrapy.Request(url, callback=self.parse_zhuanli)

    def parse_zhuanli(self,response):
        hxs = Selector(response)
        qitem = QIBEBT_Zhuanli_Item()
        # 把所有行抓取出来
        zls = hxs.xpath("//tr[@bgcolor='#f2f7f1']")
        # print(len(zls))
        for zl in zls:

            # 专利名称
            name = zl.xpath("td[@height='26']/a[@target='_blank']/text()").extract()[0]
            # name = zl.xpath("//a/text()").extract()

            # 专利类别
            type = zl.xpath("td[@align='center']/text()").extract()[0]

            # 申请号
            number = zl.xpath("td[@align='center']/text()").extract()[1]
            # 申请日期
            apply_date = zl.xpath("td[@align='center']/text()").extract()[2]
            sq_date = "无"
            try:
                # 授权日期
                sq_date = zl.xpath("td[@align='center']/text()").extract()[3]
            except:
                sq_date = "无"
            # 发明人
            # 有一个"\xa0"字符串，进行特殊处理
            inventor = repr(zl.xpath("td[@align='left']/text()").extract()[0])
            # print(isinstance(inventor,str))
            inventor = re.sub(r"'", "", inventor)
            # inventor = re.sub("\\xa0", ",", inventor)
            main_inventor = inventor.split('\\xa0')[0]
            other_inventors = inventor.split('\\xa0')[1]

            qitem["name"] = name
            qitem["type"] = type
            qitem["number"] = number
            qitem["apply_date"] = apply_date
            qitem["sq_date"] = sq_date
            qitem["main_inventor"] = main_inventor
            qitem["other_inventors"] = other_inventors

            # print("专利名称 = ", name)
            # print("专利类别 = ", type)
            # print("申请号 = ", number)
            # print("申请日期 = ", apply_date)
            # print("授权日期 = ", sq_date)
            # print("第一发明人 = ", main_inventor)
            # print("其他发明人 = ", other_inventors)
            # print("")
            yield qitem

pipelines.py

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

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
from scrapy.conf import settings
import pymongo

class Testscrapy01Pipeline(object):
    def __init__(self):
        
        pass

    def process_item(self, item, spider):
        # for i in range(0,len(item["content"])):
        # print("*******************************")
        item["name"] =item["name"]
        item["type"] =item["type"]
        item["number"] =item["number"]
        item["apply_date"] =item["apply_date"]
        item["sq_date"] =item["sq_date"]
        item["main_inventor"] =item["main_inventor"]
        item["other_inventors"] =item["other_inventors"]

        return item

另存为csv格式

scrapy crawl qibebt_zhuanli -o qibebt_zhuanli.csv