Question

我正在迭代一个过程，在这个过程中，我将Python引导到一个网站，并指示Python在指定的网站中查找我的csv文件中的地址。我想告诉Python将网站中每个单独地址值的结果保存到csv文件中。

from selenium import webdriver
from bs4 import BeautifulSoup
import time
import csv


driver = webdriver.Chrome("C:\Python27\Scripts\chromedriver.exe")
chrome = driver.get('https://etrakit.friscotexas.gov/Search/permit.aspx')
with open('C:/Users/thefirstcolumnedited.csv','r') as f:
    addresses = f.readlines()

    for address in addresses:
        driver.find_element_by_css_selector('#cplMain_txtSearchString').clear()       
        driver.find_element_by_css_selector('#cplMain_txtSearchString').send_keys(address)
        driver.find_element_by_css_selector('#cplMain_btnSearch').click()
        time.sleep(5)

    soup = BeautifulSoup(chrome, 'html.parser')

    writer = csv.writer(open('thematchingresults.csv', 'w'))
    writer.writerow(soup)

例如：

 6579 Mountain Sky Rd

上面的地址值从网站上检索五行数据。如何告诉Beautiful Soup为csv文件中的每个地址值保存结果？

Answer 1

想法是写入循环内的CSV文件（如果要为所有输入地址生成单个csv文件，请使用a“追加”模式。至于提取结果，我explicitly wait（time.sleep()不可靠且通常比它应该更慢）结果table元素（带id="ctl00_cplMain_rgSearchRslts_ctl00"的元素），然后使用pandas.read_html()将table读入数据框，然后通过.to_csv()方便地将其转储到CSV文件中：

import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC

# ...

wait = WebDriverWait(driver, 10)

for address in addresses:
    driver.find_element_by_css_selector('#cplMain_txtSearchString').clear()
    driver.find_element_by_css_selector('#cplMain_txtSearchString').send_keys(address)
    driver.find_element_by_css_selector('#cplMain_btnSearch').click()

    # wait for the results table
    table = wait.until(EC.visibility_of_element_located((By.ID, "ctl00_cplMain_rgSearchRslts_ctl00")))

    # make a dataframe and dump the results
    df = pd.read_html(table.get_attribute("outerHTML"))[0]
    with open('thematchingresults.csv', 'a') as f:
        df.to_csv(f)

对于单个“6579 Mountain Sky Rd”地址，运行脚本后thematchingresults.csv的内容将为：

,Permit Number,Address,Street Name,Applicant Name,Contractor Name,SITE_SUBDIVISION,RECORDID
0,B13-2809,6579 MOUNTAIN SKY RD,MOUNTAIN SKY RD,SHADDOCK HOMES LTD,SHADDOCK HOMES LTD,PCR - SHERIDAN,MAC:1308050328358768
1,B13-4096,6579 MOUNTAIN SKY RD,MOUNTAIN SKY RD,MIRAGE CUSTOM POOLS,MIRAGE CUSTOM POOLS,PCR - SHERIDAN,MAC:1312030307087756
2,L14-1640,6579 MOUNTAIN SKY RD,MOUNTAIN SKY RD,TDS IRRIGATION,TDS IRRIGATION,SHERIDAN,ECON:140506012624706
3,P14-0018,6579 MOUNTAIN SKY RD,MOUNTAIN SKY RD,MIRAGE CUSTOM POOLS,,SHERIDAN,LCR:1401130949212891
4,ROW14-3205,6579 MOUNTAIN SKY RD,MOUNTAIN SKY RD,Housley Group,Housley Group,,TLW:1406190424422330

希望这是一个很好的起点。

将已删除的数据保存到csv文件中

1 个答案: