一、前言
还是昨天的那个网络爬虫问题，大佬们，帮忙看看这个网络爬虫代码怎么修改？那个粉丝说自己不熟悉pandas，用pandas做的爬虫，虽然简洁，但是自己不习惯，想要在他自己的代码基础上进行修改，获取数据的代码已经写好了，就差存储到csv中去了。
他的原始代码如下：
代码语言：javascript复制import requests
from lxml import etree
import csv
import time
import pandas as pd
def gdpData(page):
url = f'https://www.hongheiku.com/category/gdjsgdp/page/{page}'
headers ={'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}
resp = requests.get(url,headers = headers)
# print(resp.text)
data(resp.text)
file = open('data.csv',mode='a',encoding='utf-8',newline='')
csv_write=csv.DictWriter(file,fieldnames=['排名','地区','GDP','年份'])
csv_write.writeheader()
def data(text):
e = etree.HTML(text)
lst = e.xpath('//*[@id="tablepress-48"]/tbody/tr[@class="even"]')
for l in lst:
no = l.xpath('./td[1]/center/span/text()')
name = l.xpath('./td[2]/a/center/text()')
team = l.xpath('./td[3]/center/text()')
year = l.xpath('./td[4]/center/text()')
data_dict = {
'排名':no,
'地区':name,
'GDP':team,
'年份':year
}
print(f'排名：{no} 地区:{name} GDP:{team} 年份:{year} ')
csv_write.writerow(data_dict)
file.close()
url = 'https://www.hongheiku.com/category/gdjsgdp'
headers ={'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}
resp = requests.get(url,headers = headers)
# print(resp.text)
data(resp.text)
e = etree.HTML(resp.text)
#//*[@id="tablepress-48"]/tbody/tr[192]/td[3]/center
count = e.xpath('//div[@class="pagination pagination-multi"][last()]/ul/li[last()]/span/text()')[0].split(' ')[1]
for index in range(int(count) - 1):
gdpData(index 2)
二、实现过程
这里粉丝给了一瓶冰红茶的费用，一个热心市民给了一份代码，在他的代码基础上进行修改的，代码如下：
代码语言：javascript复制import requests
from lxml import etree
import csv
import time
import pandas as pd
def gdpData(page):
url = f'https://www.hongheiku.com/category/gdjsgdp/page/{page}'
headers ={'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}
resp = requests.get(url,headers = headers)
# print(resp.text)
data(resp.text)
def data(text):
file = open('data.csv', mode='a', encoding='utf-8', newline='')
csv_write = csv.DictWriter(file, fieldnames=['排名', '地区', 'GDP', '年份'])
csv_write.writeheader()
e = etree.HTML(text)
lst = e.xpath('//*[@id="tablepress-48"]/tbody/tr[@class="even"]')
for l in lst:
no = ''.join(l.xpath('./td[1]/center/span/text()'))
name = ''.join(l.xpath('./td[2]/a/center/text()')[0])
team = ''.join(l.xpath('./td[3]/center/text()'))
year = ''.join(l.xpath('./td[4]/center/text()'))
data_dict = {
'排名':no,
'地区':name,
'GDP':team,
'年份':year
}
print(f'排名：{no} 地区:{name} GDP:{team} 年份:{year} ')
csv_write.writerow(data_dict)
file.close()
url = 'https://www.hongheiku.com/category/gdjsgdp'
headers ={'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/109.0.0.0 Safari/537.36'}
resp = requests.get(url,headers = headers)
# print(resp.text)
data(resp.text)
e = etree.HTML(resp.text)
#//*[@id="tablepress-48"]/tbody/tr[192]/td[3]/center
count = e.xpath('//div[@class="pagination pagination-multi"][last()]/ul/li[last()]/span/text()')[0].split(' ')[1]
for index in range(int(count) - 1):
gdpData(index 2)
代码运行之后，数据就存储到csv中去了。
顺利地解决了粉丝的问题！
三、总结
大家好，我是皮皮。这篇文章主要盘点了一个Python网络爬虫后数据存储的问题，文中针对该问题，给出了具体的解析和代码实现，帮助粉丝顺利解决了问题。
最后感谢粉丝【蓝桉】提问，感谢【热心市民】给出的思路和代码解析，感谢【eric】等人参与学习交流。
大家在学习过程中如果有遇到问题，欢迎随时联系我解决（我的微信：pdcfighting），应粉丝要求，我创建了一些高质量的Python付费学习交流群和付费接单群，欢迎大家加入我的Python学习交流群和接单群！
