scrapy爬取数据并保存中文

通过前面的学习拿到数据问题不大，本帖是记录如何保存到文件以及保存成中文的操作。

1，bqb.py爬虫文件实例代码

'''---------------------------------
# @Date:   2023-10-25 16:39:05
# @Author: Devin
# @Last Modified: 2023-11-27 16:26:06
------------------------------------'''
import scrapy
class Myspider(scrapy.Spider):
	name='bqb'
	# 2,检查域名
	allowed_domains=["itcast.cn"]
	# 1,修改起始url
	start_urls=["https://www.itcast.cn/channel/teacher.shtml"]

	# 3,实现爬虫逻辑
	def parse(self,response):
		# 定义对于网站的相关操作

		# 获取所有教师的节点
		node_list=response.xpath("//div[@class='li_txt']")

		# 遍历教师节点
		for node in node_list:
			temp={}
			# xpath方法返回的是选择器对象列表
			# temp["name"]=node.xpath("./h3/text()").extract_first()  #防止空列表报错
			temp["name"]=node.xpath("./h3/text()")[0].extract()
			temp["title"]=node.xpath("./h4/text()")[0].extract()
			temp["desc"]=node.xpath("./p/text()")[0].extract()

			yield temp

2，pipelines.py管道代码实例

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html

# useful for handling different item types with a single interface
import json
import codecs

class DemoPipeline(object):
	def __init__(self):
		self.file=codecs.open("itcast.json",'wb',encoding="utf-8")

	def process_item(self, item, spider):
		# item,源于bqb.py的返回

		# 字典数据序列化
		json_data=json.dumps(dict(item),ensure_ascii=False)+",\n"

		# 写入文件
		self.file.write(json_data)
		return item

	def __del__(self):
		self.file.close()

3,settings.py配置文件修改(2处)

ITEM_PIPELINES = {
	# 100,管道优先级，越小优先级高
   "demo.pipelines.DemoPipeline": 100,
}

FEED_EXPORT_ENCODING ='utf-8'

4，结果实例