如何通过python将Web抓取数据导出到csv

问题描述

我是网络，通过Beautifulsoup抓取数据并打印数据。现在我想将导入内容导入到下面的excel / csv我的程序中。我是python的新手，需要帮助我已经抓取了多个页面，现在我需要将它们导出到csv / excel

import requests
from urllib3.exceptions import InsecureRequestWarning
requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
from bs4 import BeautifulSoup as bs

def scrap_bid_data():

page_no = 1 #initial page number
while True:
    print('Hold on creating URL to fetch data...')
    URL = 'https://bidplus.gem.gov.in/bidlists?bidlists&page_no=' + str(page_no) #create dynamic URL
    print('URL cerated: ' + URL)

    scraped_data = requests.get(URL,verify=False) # request to get the data
    soup_data = bs(scraped_data.text,'lxml') #parse the scraped data using lxml
    extracted_data = soup_data.find('div',{'id':'pagi_content'}) #find divs which contains required data

    if len(extracted_data) == 0: # **if block** which will check the length of extracted_data if it is 0 then quit and stop the further execution of script.
        break
    else:
        for idx in range(len(extracted_data)): # loops through all the divs and extract and print data
            if(idx % 2 == 1): #get data from odd indexes only because we have required data on odd indexes
                bid_data = extracted_data.contents[idx].text.strip().split('\n')
                print('-' * 100)
                print(bid_data[0]) #BID number
                print(bid_data[5]) #Items
                print(bid_data[6]) #Quantitiy Required
                print(bid_data[10] + bid_data[12].strip()) #Department name and address
                print(bid_data[16]) #Start date
                print(bid_data[17]) #End date                   
                print('-' * 100)

        page_no +=1 #increments the page number by 1

 scrap_bid_data()

数据以如下形式出现：

解决方法

您可以使用熊猫

pip install pandas

obj可以是

bid_data = []
for obj in list:
    obj= {
        "bid_data_0" :bid_data[0],"bid_data_5" :bid_data[5],"bid_data_6" :bid_data[6],"bid_data_10" :bid_data[10],"bid_data_12" :bid_data[12].strip(),"bid_data_17" :bid_data_17,}
bid_data.append(obj)

您可以将bid_data格式化为dict obj，然后在该对象中仅添加必填字段

import pandas as pd

bid_data = pd.DataFrame(bid_data)
bid_data.to_csv("file_name.csv",index=True,encoding='utf-8')

这是我曾经用于将数据导出到csv的最简单的方法。 让我知道是否遇到任何问题

,

import requests
from urllib3.exceptions import InsecureRequestWarning
import csv

requests.packages.urllib3.disable_warnings(InsecureRequestWarning)
from bs4 import BeautifulSoup as bs

f = csv.writer(open('gembid.csv','w'))
f.writerow(['Bidnumber','Items','Quantitiy','Department','Enddate'])


def scrap_bid_data():
    page_no = 1
    while page_no < 911:
        print('Hold on creating URL to fetch data...')
        url = 'https://bidplus.gem.gov.in/bidlists?bidlists&page_no=' + str(page_no)
        print('URL created: ' + url)
        scraped_data = requests.get(url,verify=False)
        soup_data = bs(scraped_data.text,'lxml')
        extracted_data = soup_data.find('div',{'id': 'pagi_content'})
        if len(extracted_data) == 0:
            break
        else:
            for idx in range(len(extracted_data)):
                if (idx % 2 == 1):
                    bid_data = extracted_data.contents[idx].text.strip().split('\n')

                    bidno = bid_data[0].split(":")[-1]
                    items = bid_data[5].split(":")[-1]
                    qnty = int(bid_data[6].split(':')[1].strip())
                    dept = (bid_data[10] + bid_data[12].strip()).split(":")[-1]
                    edate = bid_data[17].split("End Date:")[-1]
                    f.writerow([bidno,items,qnty,dept,edate])

            page_no=page_no+1
scrap_bid_data()