scrapy爬蟲簡單案例

進入cmd命令列,切到d盤

#cmd

d:

mkdir article

scrapy startproject article

scrapy genspider xinwen www.hbskzy.cn

#命令後面加爬蟲名和網域名稱
#不能和專案名同名

# define here the models for your scraped items

## see documentation in:
# import scrapy
class
articleitem
(scrapy.item)
:# define the fields for your item here like:
title = scrapy.field(
)    link = scrapy.field(
)

import scrapy

from shuichan.items import shuichanitem
from scrapy import request
class
yuspider
(scrapy.spider)
:    name =
'yu'
allowed_domains =
['bbs.liyang-tech.com'
]def
start_requests
(self)
:        urls =
[''%(i)
for i in
range(1
,20)]
for i in urls:
yield request(url = i,callback = self.next_parse)
defnext_parse
(self, response)
:        www =
''item = shuichanitem(
)        title = response.xpath(
'//*/tr/th/a[2]/text()')[
3:].extract(
)        href = response.xpath(
'//*/tr/th/a[2]/@href')[
3:].extract(
)for i in
range
(len
(title)):
item[
'title'
]= title[i]
item[
'link'
]= href[i]
yield item

# define your item pipelines here

## don't forget to add your pipeline to the item_pipelines setting
# see: 
# useful for handling different item types with a single inte***ce
from itemadapter import itemadapter
class
articlepipeline
:def
process_item
(self, item, spider)
:return item

# scrapy settings for article project

## for simplicity, this file contains only settings considered important or
# commonly used. you can find more settings consulting the documentation:
##     
#     
#     
bot_name =
'article'
spider_modules =
['article.spiders'
]newspider_module =
'article.spiders'
feed_format =
'csv'
#可選feed_uri =
'檔名.csv'
#可選# crawl responsibly by identifying yourself (and your website) on the user-agent
#user_agent = 'article (+'
# obey robots.txt rules
robotstxt_obey =
true

然後啟動爬蟲，先進入cmd命令列輸入：

cd /d d:

/article/article

scrapy crawl xinwen

完成後會在article目錄下生成乙個csv檔案：

開啟後

tip:如果寫入空值也是會報錯的，可以在管道檔案加入if判斷

if

'key'
in item:

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