python中地图测距

百度地图测距-终稿V3.0：

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import json
import xlwt
import xlwings as xw
from selenium import webdriver
import time
from selenium.webdriver import Chrome, ChromeOptions
import pandas as pd
import jsondef data_a(start, end):df = pd.DataFrame()distance = []# 清空数据try:driver.find_element_by_xpath('//html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[1]/input').clear()driver.find_element_by_xpath('//html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[2]/input').clear()driver.find_element_by_xpath("//div['routebox-input route-start']/input[@class='route-start-input']").send_keys(start)#起点driver.find_element_by_xpath("//div[@class='routebox-input route-end']/input[@class='route-end-input']").send_keys(end)#终点time.sleep(2)driver.find_element_by_id('search-button').click()  # 模拟点击time.sleep(3)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_0_0']").click()  # 点击起点time.sleep(2)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_1_0']").click()  # 点击终点起点# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@class='selBtn']").click()#点击起点# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@class='selBtn']").click()  # 点击起点html = BeautifulSoup(driver.page_source, 'html.parser')source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")except:print("点击错误1")# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_1_0']").click()  # 点击终点起点try:time.sleep(4)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_1_0']").click()  # 点击终点起点time.sleep(3)print("执行")except:print("点击错误2")html = BeautifulSoup(driver.page_source, 'html.parser')# time.sleep(1.5)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")# print("点击错误3")html = BeautifulSoup(driver.page_source, 'html.parser')# time.sleep(1.5)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")with open('rr.html', 'w', encoding='utf-8') as f:  # 写入网页f.write(source)# time.sleep(1)# with open('rr.html', 'r', encoding='utf-8') as f:#打开网页#     html_a = BeautifulSoup(f, 'lxml')# 获取距离html.list = html.find_all('div', attrs={'class': 'navtrans-navlist-title'})for i, item in enumerate(html.list):try:distance.append(item.find_all('span')[2].text.strip('公里'))# print(item.find_all('span')[2].text.strip('公里'),)df["start"] = start,df["end"] = end,df["距离"] = (distance[0]),# df.to_json('distance.json', orient='records', indent=1, force_ascii=False)  # ,orient="values")# print(df)except:print(str(i), "网页获取错误")return dfdf = pd.DataFrame()
if __name__ == "__main__":opt = ChromeOptions()  # 创建Chrome参数对象opt.headless = False  # 把Chrome设置成可视化无界面模式，windows/Linux 皆可driver = Chrome(options=opt)# driver = webdriver.Chrome()url="https://map.baidu.com/?newmap=1&shareurl=1&l=12&tn=B_NORMAL_MAP&hb=B_SATELLITE_STREET&c=13376484,3517857"#"https://map.baidu.com/@13376484,3517857,12z"driver.get(url)#'https://map.baidu.com/'driver.find_element_by_xpath("//div[@class='searchbox-content-button right-button route-button loading-button']").click()  # 点击路线导航driver.find_element_by_xpath("//div[@class='searchbox-content-common route-tabs']/div[@class='tab-item drive-tab']/span").click()  # 点击驾车导航location = ['北京', '上海', '深圳', '合肥', '杭州']app = xw.App(visible=False, add_book=False)wb = app.books.open('distance.xlsx')# 创建一个worksheetsh = wb.sheets['distance']rng_start = [i for i in sh.range("B:B").value if i != None]  # 单元格内容rng_end = [i for i in sh.range("C:C").value if i != None]  # 单元格内容j = sh.range('a1').expand('table').rows.count  # 序号for i in range(len(rng_start) - 1):try:# for i in range(len(location)):# df_a = data_a(location[i], location[i + 1])  # 执行查询df_a = data_a(rng_start[i + 1], rng_end[i + 1])  # 执行查询df = pd.concat([df_a, df], axis=0)  # 加入基础数据列df.to_json('distance.json', orient='records', indent=1, force_ascii=False)  # ,orient="values")df.to_csv("distance.csv", mode="a+", header=None, index=None, encoding="utf-8-sig", sep=',')except:print('查询错误')# 距离写入Jason# df.to_json('distance.json', orient='records', indent=1, force_ascii=False)  # ,orient="values")# 读取jsonwith open("distance.json", 'r', encoding='utf-8') as f:data = json.load(f)print(data)app.display_alerts = Falseapp.screen_updating = Falsefor i in range(len(data)):  # 写入数据try:sh.cells[i + 1, 0].value = i + 1sh.cells[i + 1, 1].value = data[i]["start"]sh.cells[i + 1, 2].value = data[i]["end"]sh.cells[i + 1, 3].value = data[i]["距离"]except:print('写入错误')try:wb.save('distance.xlsx')wb.close()app.quit()# 获得当前窗口句柄sreach_windows = driver.current_window_handledriver.quit()# 获得当前所有打开的窗口的句柄all_handles = driver.window_handlesfor handle in all_handles:driver.switch_to.window(handle)driver.close()except:print('保存异常')# print(html)
# html.list = html.find_all('div', attrs={'class': 'sckrox'})
# print(html.list)# str=['中国铝业','中国核电','中国']
# print(str[1])# driver.find_element_by_id().send_keys()
# driver.find_element_by_name()
# driver.find_elements_by_class_name()
# https://map.baidu.com/dir/%E4%B8%8A%E6%B5%B7%E5%B8%82/%E6%9D%AD%E5%B7%9E%E5%B8%82/@13409603.494459692,3577628.985,10.23z?querytype=nav&c=29&sn=0$$8eb697c2bdf8bae8b6f42fe7$$13523308,3641053$$%E4%B8%8A%E6%B5%B7%E5%B8%82$$0$$$$&en=0$$99f429f6963d1f271fe999e7$$13382445,3514415$$%E6%9D%AD%E5%B7%9E%E5%B8%82$$0$$$$&sc=29&ec=29&pn=0&rn=5&mrs=1&version=4&route_traffic=1&sy=0&da_src=shareurl')
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='sole-searchbox-content']/div[@class='searchbox-content-button right-button route-button loading-button']").click()
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='route-header']/div[@class='searchbox-content-common route-tabs']/div[@class='tab-item walk-tab']/span").click()

百度地图测距：

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import json
import xlwt
import xlwings as xw
from selenium import webdriver
import time
from selenium.webdriver import Chrome, ChromeOptions
import pandas as pd
import jsondef data_a(start, end):df = pd.DataFrame()distance = []# 清空数据driver.find_element_by_xpath('/html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[1]/input').clear()driver.find_element_by_xpath('/html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[2]/input').clear()driver.find_element_by_xpath("//div['routebox-input route-start']/input[@class='route-start-input']").send_keys(start)driver.find_element_by_xpath("//div[@class='routebox-input route-end']/input[@class='route-end-input']").send_keys(end)driver.find_element_by_id('search-button').click()  # 模拟点击html = BeautifulSoup(driver.page_source, 'html.parser')time.sleep(3)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")with open('rr.html', 'w', encoding='utf-8') as f:  # 写入网页f.write(source)# time.sleep(3)# with open('rr.html', 'r', encoding='utf-8') as f:#打开网页#     html_a = BeautifulSoup(f, 'lxml')# 获取距离html.list = html.find_all('div', attrs={'class': 'navtrans-navlist-title'})for i, item in enumerate(html.list):try:distance.append(item.find_all('span')[2].text.strip('公里'))# print(item.find_all('span')[2].text.strip('公里'),)df["start"] = start,df["end"] = end,df["距离"] = (distance[0]),# print(df)except:print(str(i), "网页获取错误")return dfdf = pd.DataFrame()
if __name__ == "__main__":opt = ChromeOptions()  # 创建Chrome参数对象opt.headless = False  # 把Chrome设置成可视化无界面模式，windows/Linux 皆可driver = Chrome(options=opt)# driver = webdriver.Chrome()driver.get('https://map.baidu.com/')driver.find_element_by_xpath("//div[@class='searchbox-content-button right-button route-button loading-button']").click()  # 点击路线导航driver.find_element_by_xpath("//div[@class='searchbox-content-common route-tabs']/div[@class='tab-item drive-tab']/span").click()  # 点击驾车导航location = ['北京', '上海', '深圳', '合肥', '杭州']app = xw.App(visible=True, add_book=False)wb = app.books.open('distance.xlsx')# 创建一个worksheetsh = wb.sheets['distance']rng_start = [i for i in sh.range("B:B").value if i != None]  # 单元格内容rng_end = [i for i in sh.range("C:C").value if i != None]  # 单元格内容j = sh.range('a1').expand('table').rows.count  # 序号for i in range(len(rng_start) - 1):try:# for i in range(len(location)):# df_a = data_a(location[i], location[i + 1])  # 执行查询df_a = data_a(rng_start[i + 1], rng_end[i + 1])  # 执行查询df = pd.concat([df_a, df], axis=0)  # 加入基础数据列except:print('查询错误')# 距离写入Jasondf.to_json('distance.json', orient='records', indent=1, force_ascii=False)  # ,orient="values")# 读取jsonwith open("distance.json", 'r', encoding='utf-8') as f:data = json.load(f)print(data)app.display_alerts = Falseapp.screen_updating = Falsefor i in range(len(data)):  # 写入数据try:sh.cells[i + 1, 0].value = i + 1sh.cells[i + 1, 1].value = data[i]["start"]sh.cells[i + 1, 2].value = data[i]["end"]sh.cells[i + 1, 3].value = data[i]["距离"]except:print('写入错误')try:wb.save('distance.xlsx')wb.close()app.quit()# 获得当前窗口句柄sreach_windows = driver.current_window_handledriver.quit()# 获得当前所有打开的窗口的句柄all_handles = driver.window_handlesfor handle in all_handles:driver.switch_to.window(handle)driver.close()except:print('保存异常')# print(html)
# html.list = html.find_all('div', attrs={'class': 'sckrox'})
# print(html.list)# str=['中国铝业','中国核电','中国']
# print(str[1])# driver.find_element_by_id().send_keys()
# driver.find_element_by_name()
# driver.find_elements_by_class_name()
# https://map.baidu.com/dir/%E4%B8%8A%E6%B5%B7%E5%B8%82/%E6%9D%AD%E5%B7%9E%E5%B8%82/@13409603.494459692,3577628.985,10.23z?querytype=nav&c=29&sn=0$$8eb697c2bdf8bae8b6f42fe7$$13523308,3641053$$%E4%B8%8A%E6%B5%B7%E5%B8%82$$0$$$$&en=0$$99f429f6963d1f271fe999e7$$13382445,3514415$$%E6%9D%AD%E5%B7%9E%E5%B8%82$$0$$$$&sc=29&ec=29&pn=0&rn=5&mrs=1&version=4&route_traffic=1&sy=0&da_src=shareurl')
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='sole-searchbox-content']/div[@class='searchbox-content-button right-button route-button loading-button']").click()
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='route-header']/div[@class='searchbox-content-common route-tabs']/div[@class='tab-item walk-tab']/span").click()

python中支持库发模式，即点击起点和自动城市模式：

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import json
import xlwt
import xlwings as xw
from selenium import webdriver
import time
from selenium.webdriver import Chrome, ChromeOptions
import pandas as pd
import jsondef data_a(start, end):df = pd.DataFrame()distance = []# 清空数据try:driver.find_element_by_xpath('//html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[1]/input').clear()driver.find_element_by_xpath('//html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[2]/input').clear()driver.find_element_by_xpath("//div['routebox-input route-start']/input[@class='route-start-input']").send_keys(start)driver.find_element_by_xpath("//div[@class='routebox-input route-end']/input[@class='route-end-input']").send_keys(end)time.sleep(1.5)driver.find_element_by_id('search-button').click()  # 模拟点击time.sleep(2)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_0_0']").click()  # 点击起点time.sleep(2)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_1_0']").click()  # 点击起点# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@class='selBtn']").click()#点击起点# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@class='selBtn']").click()  # 点击起点html = BeautifulSoup(driver.page_source, 'html.parser')time.sleep(1.5)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")except:print("点击错误")html = BeautifulSoup(driver.page_source, 'html.parser')time.sleep(1.5)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")with open('rr.html', 'w', encoding='utf-8') as f:  # 写入网页f.write(source)# time.sleep(1)# with open('rr.html', 'r', encoding='utf-8') as f:#打开网页#     html_a = BeautifulSoup(f, 'lxml')# 获取距离html.list = html.find_all('div', attrs={'class': 'navtrans-navlist-title'})for i, item in enumerate(html.list):try:distance.append(item.find_all('span')[2].text.strip('公里'))# print(item.find_all('span')[2].text.strip('公里'),)df["start"] = start,df["end"] = end,df["距离"] = (distance[0]),# print(df)except:print(str(i), "网页获取错误")return dfdf = pd.DataFrame()
if __name__ == "__main__":opt = ChromeOptions()  # 创建Chrome参数对象opt.headless = False  # 把Chrome设置成可视化无界面模式，windows/Linux 皆可driver = Chrome(options=opt)# driver = webdriver.Chrome()driver.get('https://map.baidu.com/')driver.find_element_by_xpath("//div[@class='searchbox-content-button right-button route-button loading-button']").click()  # 点击路线导航driver.find_element_by_xpath("//div[@class='searchbox-content-common route-tabs']/div[@class='tab-item drive-tab']/span").click()  # 点击驾车导航location = ['北京', '上海', '深圳', '合肥', '杭州']app = xw.App(visible=False, add_book=False)wb = app.books.open('distance.xlsx')# 创建一个worksheetsh = wb.sheets['distance']rng_start = [i for i in sh.range("B:B").value if i != None]  # 单元格内容rng_end = [i for i in sh.range("C:C").value if i != None]  # 单元格内容j = sh.range('a1').expand('table').rows.count  # 序号for i in range(len(rng_start) - 1):try:# for i in range(len(location)):# df_a = data_a(location[i], location[i + 1])  # 执行查询df_a = data_a(rng_start[i + 1], rng_end[i + 1])  # 执行查询df = pd.concat([df_a, df], axis=0)  # 加入基础数据列except:print('查询错误')# 距离写入Jasondf.to_json('distance.json', orient='records', indent=1, force_ascii=False)  # ,orient="values")# 读取jsonwith open("distance.json", 'r', encoding='utf-8') as f:data = json.load(f)print(data)app.display_alerts = Falseapp.screen_updating = Falsefor i in range(len(data)):  # 写入数据try:sh.cells[i + 1, 0].value = i + 1sh.cells[i + 1, 1].value = data[i]["start"]sh.cells[i + 1, 2].value = data[i]["end"]sh.cells[i + 1, 3].value = data[i]["距离"]except:print('写入错误')try:wb.save('distance.xlsx')wb.close()app.quit()# 获得当前窗口句柄sreach_windows = driver.current_window_handledriver.quit()# 获得当前所有打开的窗口的句柄all_handles = driver.window_handlesfor handle in all_handles:driver.switch_to.window(handle)driver.close()except:print('保存异常')# print(html)
# html.list = html.find_all('div', attrs={'class': 'sckrox'})
# print(html.list)# str=['中国铝业','中国核电','中国']
# print(str[1])# driver.find_element_by_id().send_keys()
# driver.find_element_by_name()
# driver.find_elements_by_class_name()
# https://map.baidu.com/dir/%E4%B8%8A%E6%B5%B7%E5%B8%82/%E6%9D%AD%E5%B7%9E%E5%B8%82/@13409603.494459692,3577628.985,10.23z?querytype=nav&c=29&sn=0$$8eb697c2bdf8bae8b6f42fe7$$13523308,3641053$$%E4%B8%8A%E6%B5%B7%E5%B8%82$$0$$$$&en=0$$99f429f6963d1f271fe999e7$$13382445,3514415$$%E6%9D%AD%E5%B7%9E%E5%B8%82$$0$$$$&sc=29&ec=29&pn=0&rn=5&mrs=1&version=4&route_traffic=1&sy=0&da_src=shareurl')
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='sole-searchbox-content']/div[@class='searchbox-content-button right-button route-button loading-button']").click()
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='route-header']/div[@class='searchbox-content-common route-tabs']/div[@class='tab-item walk-tab']/span").click()

python中支持点击单独目的地终点：

import requests
from bs4 import BeautifulSoup
from datetime import datetime
import json
import xlwt
import xlwings as xw
from selenium import webdriver
import time
from selenium.webdriver import Chrome, ChromeOptions
import pandas as pd
import jsondef data_a(start, end):df = pd.DataFrame()distance = []# 清空数据try:driver.find_element_by_xpath('//html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[1]/input').clear()driver.find_element_by_xpath('//html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[2]/input').clear()driver.find_element_by_xpath("//div['routebox-input route-start']/input[@class='route-start-input']").send_keys(start)driver.find_element_by_xpath("//div[@class='routebox-input route-end']/input[@class='route-end-input']").send_keys(end)time.sleep(1.5)driver.find_element_by_id('search-button').click()  # 模拟点击time.sleep(2)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_0_0']").click()  # 点击起点time.sleep(2)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_1_0']").click()  # 点击起点# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@class='selBtn']").click()#点击起点# driver.find_element_by_xpath("//tbody/tr/td[2]/div[@class='selBtn']").click()  # 点击起点html = BeautifulSoup(driver.page_source, 'html.parser')time.sleep(2)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")except:try:time.sleep(2)driver.find_element_by_xpath("//tbody/tr/td[2]/div[@tid='selBtn_1_0']").click()  # 点击起点except:print("点击错误")html = BeautifulSoup(driver.page_source, 'html.parser')# time.sleep(1.5)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")print("点击错误")html = BeautifulSoup(driver.page_source, 'html.parser')# time.sleep(1.5)source = driver.page_sourcehtml = BeautifulSoup(source, "html.parser")with open('rr.html', 'w', encoding='utf-8') as f:  # 写入网页f.write(source)# time.sleep(1)# with open('rr.html', 'r', encoding='utf-8') as f:#打开网页#     html_a = BeautifulSoup(f, 'lxml')# 获取距离html.list = html.find_all('div', attrs={'class': 'navtrans-navlist-title'})for i, item in enumerate(html.list):try:distance.append(item.find_all('span')[2].text.strip('公里'))# print(item.find_all('span')[2].text.strip('公里'),)df["start"] = start,df["end"] = end,df["距离"] = (distance[0]),# print(df)except:print(str(i), "网页获取错误")return dfdf = pd.DataFrame()
if __name__ == "__main__":opt = ChromeOptions()  # 创建Chrome参数对象opt.headless = False  # 把Chrome设置成可视化无界面模式，windows/Linux 皆可driver = Chrome(options=opt)# driver = webdriver.Chrome()driver.get('https://map.baidu.com/')driver.find_element_by_xpath("//div[@class='searchbox-content-button right-button route-button loading-button']").click()  # 点击路线导航driver.find_element_by_xpath("//div[@class='searchbox-content-common route-tabs']/div[@class='tab-item drive-tab']/span").click()  # 点击驾车导航location = ['北京', '上海', '深圳', '合肥', '杭州']app = xw.App(visible=False, add_book=False)wb = app.books.open('distance.xlsx')# 创建一个worksheetsh = wb.sheets['distance']rng_start = [i for i in sh.range("B:B").value if i != None]  # 单元格内容rng_end = [i for i in sh.range("C:C").value if i != None]  # 单元格内容j = sh.range('a1').expand('table').rows.count  # 序号for i in range(len(rng_start) - 1):try:# for i in range(len(location)):# df_a = data_a(location[i], location[i + 1])  # 执行查询df_a = data_a(rng_start[i + 1], rng_end[i + 1])  # 执行查询df = pd.concat([df_a, df], axis=0)  # 加入基础数据列except:print('查询错误')# 距离写入Jasondf.to_json('distance.json', orient='records', indent=1, force_ascii=False)  # ,orient="values")# 读取jsonwith open("distance.json", 'r', encoding='utf-8') as f:data = json.load(f)print(data)app.display_alerts = Falseapp.screen_updating = Falsefor i in range(len(data)):  # 写入数据try:sh.cells[i + 1, 0].value = i + 1sh.cells[i + 1, 1].value = data[i]["start"]sh.cells[i + 1, 2].value = data[i]["end"]sh.cells[i + 1, 3].value = data[i]["距离"]except:print('写入错误')try:wb.save('distance.xlsx')wb.close()app.quit()# 获得当前窗口句柄sreach_windows = driver.current_window_handledriver.quit()# 获得当前所有打开的窗口的句柄all_handles = driver.window_handlesfor handle in all_handles:driver.switch_to.window(handle)driver.close()except:print('保存异常')# print(html)
# html.list = html.find_all('div', attrs={'class': 'sckrox'})
# print(html.list)# str=['中国铝业','中国核电','中国']
# print(str[1])# driver.find_element_by_id().send_keys()
# driver.find_element_by_name()
# driver.find_elements_by_class_name()
# https://map.baidu.com/dir/%E4%B8%8A%E6%B5%B7%E5%B8%82/%E6%9D%AD%E5%B7%9E%E5%B8%82/@13409603.494459692,3577628.985,10.23z?querytype=nav&c=29&sn=0$$8eb697c2bdf8bae8b6f42fe7$$13523308,3641053$$%E4%B8%8A%E6%B5%B7%E5%B8%82$$0$$$$&en=0$$99f429f6963d1f271fe999e7$$13382445,3514415$$%E6%9D%AD%E5%B7%9E%E5%B8%82$$0$$$$&sc=29&ec=29&pn=0&rn=5&mrs=1&version=4&route_traffic=1&sy=0&da_src=shareurl')
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='sole-searchbox-content']/div[@class='searchbox-content-button right-button route-button loading-button']").click()
# driver.find_element_by_xpath(
#     "/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='route-header']/div[@class='searchbox-content-common route-tabs']/div[@class='tab-item walk-tab']/span").click()

python百度地图测距测试：

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
import time
import re# vertion 1.0
driver = webdriver.Chrome()
driver.get('https://map.baidu.com/')driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='sole-searchbox-content']/div[@class='searchbox-content-button right-button route-button loading-button']").click()
driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='route-header']/div[@class='searchbox-content-common route-tabs']/div[@class='tab-item walk-tab']/span").click()# 单击第一个按钮进入搜索界面def startSpide(start, end):# start是第一输入框的内容，end是第二个，startSpide爬两地点间时间文字信息driver.find_element_by_xpath('/html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[1]/input').clear()driver.find_element_by_xpath('/html/body/div[1]/div[2]/div/div[1]/div[2]/div[2]/div/div[2]/div[2]/input').clear()# 清空两个输入框，即问号按键driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='routebox']/div[@class='searchbox-content-common routebox-content']/div[@class='routebox-inputs']/div[@class='routebox-input route-start']/input[@class='route-start-input']").send_keys(start)driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/div[@id='searchbox-container']/div[@id='route-searchbox-content']/div[@class='routebox']/div[@class='searchbox-content-common routebox-content']/div[@class='routebox-inputs']/div[@class='routebox-input route-end']/input[@class='route-end-input']").send_keys(end)# 在两个框内输入字符start和enddriver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/button[@id='search-button']").click()# 点击搜索time.sleep(2)try:driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/ul[@id='cards-level1']/li[1]/div[@class='RouteAddressOuterBkg']/div[@class='RouteAddressInnerBkg']/div[@id='RouteAddress_DIV1']/div[@class='sel_body']/div[@id='RADIV_BODY1']/div[@id='RADiv_ResItem1']/div[@id='RA_ResItem_1']/table/tbody/tr[1]/td[2]").click()except:a = 1else:time.sleep(2)try:driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/ul[@id='cards-level1']/li[1]/div[@class='RouteAddressOuterBkg']/div[@class='RouteAddressInnerBkg']/div[@id='RouteAddress_DIV0']/div[@class='sel_body']/div[@id='RADIV_BODY0']/div[@id='RADiv_ResItem0']/div[@id='RA_ResItem_0']/table/tbody/tr[1]/td[2]").click()except:a = 1# 出现模糊地址的时候选择第一个准确地址time.sleep(2)try:  # 超时异常处理WebDriverWait(driver, 5, 0.5).until(EC.presence_of_element_located((By.XPATH,"/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/ul[@id='cards-level1']/li[1]/div[@id='nav_container']/div[@class='route_contentWrapper walk_cont']/div[@id='route_content_walk']/div[@class='special']/div[@class='drive']/div[@class='con']/div[@class='navtrans-navlist-view active expand navtrans-type-walk']/div[@class='navtrans-navlist-title']/p[@class='navtrans-navlist-title-p title-info']/span[@class='last']")))except:driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/div[@id='searchbox']/button[@id='search-button']").click()try:driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/ul[@id='cards-level1']/li[1]/div[@class='RouteAddressOuterBkg']/div[@class='RouteAddressInnerBkg']/div[@id='RouteAddress_DIV1']/div[@class='sel_body']/div[@id='RADIV_BODY1']/div[@id='RADiv_ResItem1']/div[@id='RA_ResItem_1']/table/tbody/tr[1]/td[2]").click()except:a = 1time.sleep(2)try:driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/ul[@id='cards-level1']/li[1]/div[@class='RouteAddressOuterBkg']/div[@class='RouteAddressInnerBkg']/div[@id='RouteAddress_DIV0']/div[@class='sel_body']/div[@id='RADIV_BODY0']/div[@id='RADiv_ResItem0']/div[@id='RA_ResItem_0']/table/tbody/tr[1]/td[2]").click()except:a = 1try:span2 = driver.find_element_by_xpath("/html/body[@class='pc']/div[@id='app']/div[@id='left-panel']/ul[@id='cards-level1']/li[1]/div[@id='nav_container']/div[@class='route_contentWrapper walk_cont']/div[@id='route_content_walk']/div[@class='special']/div[@class='drive']/div[@class='con']/div[@class='navtrans-navlist-view active expand navtrans-type-walk']/div[@class='navtrans-navlist-title']/p[@class='navtrans-navlist-title-p title-info']/span[@class='last']").get_attribute('textContent')except:span2 = '-1'# 找到文字的信息span2 = transform(span2)print(span2, end=" ")def transform(span):# 把文字转换为以米为单位的数字if span.find("公里") != -1:span = re.sub('公里', '', span)span = re.sub('约', '', span)span = int(float(span) * 1000)else:span = re.sub('约', '', span)span = re.sub('米', '', span)span = int(float(span))return spanlocation = ["中山大学(东校区)-牌坊", "中山大学(东校区)-软件学院", "中山大学东校区-国家超级计算广州中心", "中山大学东校区行政会议中心-A座", "中山大学(东校区)-停车场","中山大学(东校区)-行政会议中心", "中山大学(东校区)公共教学楼-A座", "中山大学(东校区)行政会议中心-B座", "中山大学北学院楼", \"默园", "中山大学东校区-公共教学楼E", "三行情书林", "中山大学(东校区)-图书馆", "落雁台", "广州东校区教学实验中心-A座", "广州东校区教学实验中心-D座", \"中山大学(东校区)-传播与设计学院", "中山大学(东校区)-体育馆", "中山大学(东校区)-东田径场", "中山大学(东校区)-篮球场", "中山大学(东校区)-游泳池", "广州东校区西田径场","中山大学-工学院校友回望林", \"中山大学东校区学生第一食堂", "至善学生活动中心", "格致园", "至善园", '慎思园', '明德园', '中山大学东校区学生公寓']# for i in range(len(location)):
for j in range(len(location)):if (j == 10):print(0, end=" ")else:startSpide(location[10], location[j])
print('')

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