为单个 ID 运行脚本时正确获取 html 内容，但在尝试循环时，经过几次迭代后，出现错误
Geting html content properly when the script is runned for individual IDs, but when trying on loop, after few iterations, getting error
from bs4 import BeautifulSoup
import requests
import pandas as pd
import time
columns=['ID','Toll Plaza Name','State','Type Of Vehicle','Single Journey','Return Journey','Monthly Pass','Commercial Vehicle Registered within the district of plaza']
df=pd.DataFrame(columns=columns)
row_count=0
URL = "https://tis.nhai.gov.in/TollInformation.aspx?TollPlazaID="
for i in range(0,491):
URL+=str(i+4)
print(i+4)
r = requests.get(URL)
soup = BeautifulSoup(r.content, 'html.parser')
div = soup.find('div', attrs = {'id':'DivContaint','class':'content'})
#print(div)
name= div.find('lable').text
#print('Name: ',name)
state=div.find('div', attrs = {'class':'PA15'}).p.text.split('in')[1].split('Stretch')[0].strip()
#print('State: ', state)
table=div.find('table',attrs={'class':'tollinfotbl'})
rows=table.find_all('tr')
for j in range(1,14,2):
df.loc[row_count,'ID']=i+4
df.loc[row_count,'Toll Plaza Name']=name
df.loc[row_count,'State']=state
typeOfVehicle=rows[j].th.text
df.loc[row_count,'Type Of Vehicle']=typeOfVehicle.strip()
td=rows[j].find_all('td')
df.loc[row_count,'Single Journey']=td[0].text
df.loc[row_count,'Return Journey']=td[1].text
df.loc[row_count,'Monthly Pass']=td[2].text
df.loc[row_count,'Commercial Vehicle Registered within the district of plaza']=td[3].text
row_count+=1
del r, soup, div, name, state, table, td
df.to_excel("output.xlsx")
#time.sleep(2)
输出：
4个
5个
6个
7
8
AttributeError Traceback（最后一次调用）
在
15 div = soup.find('div', 属性 = {'id':'DivContaint','class':'content'})
16#打印（div）
---> 17 名称= div.find('lable').text
18 #print('Name: ',姓名)
19 state=div.find('div', attrs = {'class':'PA15'}).p.text.split('in')[1].split( 'Stretch')[0].strip()
AttributeError: 'NoneType' 对象没有属性 'text'
因此，在第 8 次 id 迭代中，我得到的 div 内容是空的。但是，如果我只尝试那个特定的 id，即 8。获得正确的输出。
按照您的逻辑，它不是遍历每个“广场”，而是将其串联起来。通过那个“第 8 个”广场，它试图去 url 'https://tis.nhai.gov.in/TollInformation.aspx?TollPlazaID=45678'，但它不存在。
此外，如果您只是将每个 i 加 4，为什么不将范围从 (0,491) 调整为 (4,495)？
我还会考虑使用 pandas 来解析 table。个人喜好而已。
最后，您是否意识到在每次迭代之后，您都在覆盖您的 output.xlsx 文件？我想这很好，因为你只是附加到它，但不确定那是你想要的。
这是第一页第 4-15 页的示例代码（我不会坐下来完成所有 490 多次迭代）。
from bs4 import BeautifulSoup
import requests
import pandas as pd
import time
root_url = "https://tis.nhai.gov.in/TollInformation.aspx?TollPlazaID="
final_df = pd.DataFrame()
for i in range(4,495):
url = f'{root_url}{i}'
print(i)
r = requests.get(url)
df = pd.read_html(r.text)[0].dropna(how='all', axis=0)
soup = BeautifulSoup(r.content, 'html.parser')
div = soup.find('div', attrs = {'id':'DivContaint','class':'content'})
#print(div)
name= div.find('lable').text
#print('Name: ',name)
state=div.find('div', attrs = {'class':'PA15'}).p.text.split('in')[1].split('Stretch')[0].strip()
#print('State: ', state)
df['ID'] = i
df['Toll Plaza Name'] = name
df['State'] = state
final_df = final_df.append(df).reset_index(drop=True)
#time.sleep(2)
final_df.to_excel("output.xlsx", index=False)
输出：
print(final_df.to_string())
Type of vehicle Single Journey Return Journey Monthly Pass Commercial Vehicle Registered within the district of plaza ID Toll Plaza Name State
0 Car/Jeep/Van 95.0 145.0 2860.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
1 LCV 165.0 250.0 5005.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
2 Bus/Truck 335.0 500.0 10010.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
3 Upto 3 Axle Vehicle 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
4 4 to 6 Axle 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
5 HCM/EME 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
6 7 or more Axle 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
7 Car/Jeep/Van 55.0 80.0 1795.0 25.0 5 Bankapur ( Public Funded ) Karnataka
8 LCV 85.0 130.0 2905.0 45.0 5 Bankapur ( Public Funded ) Karnataka
9 Bus/Truck 180.0 275.0 6080.0 90.0 5 Bankapur ( Public Funded ) Karnataka
10 Upto 3 Axle Vehicle 200.0 300.0 6635.0 100.0 5 Bankapur ( Public Funded ) Karnataka
11 4 to 6 Axle 285.0 430.0 9540.0 145.0 5 Bankapur ( Public Funded ) Karnataka
12 HCM/EME 285.0 430.0 9540.0 145.0 5 Bankapur ( Public Funded ) Karnataka
13 7 or more Axle 350.0 525.0 11610.0 175.0 5 Bankapur ( Public Funded ) Karnataka
14 Car/Jeep/Van 100.0 145.0 3270.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
15 LCV 160.0 240.0 5280.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
16 Bus/Truck 330.0 500.0 11065.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
17 Upto 3 Axle Vehicle 520.0 780.0 17350.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
18 4 to 6 Axle 520.0 780.0 17350.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
19 HCM/EME 520.0 780.0 17350.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
20 7 or more Axle 635.0 950.0 21120.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
21 Car/Jeep/Van 60.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
22 LCV 125.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
23 Bus/Truck 185.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
24 Upto 3 Axle Vehicle 280.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
25 4 to 6 Axle 280.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
26 HCM/EME 375.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
27 7 or more Axle 280.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
28 Car/Jeep/Van 30.0 45.0 980.0 15.0 8 Hattargi ( Public Funded ) Karnataka
29 LCV 45.0 70.0 1580.0 25.0 8 Hattargi ( Public Funded ) Karnataka
30 Bus/Truck 100.0 150.0 3310.0 50.0 8 Hattargi ( Public Funded ) Karnataka
31 Upto 3 Axle Vehicle 110.0 160.0 3610.0 55.0 8 Hattargi ( Public Funded ) Karnataka
32 4 to 6 Axle 155.0 235.0 5190.0 80.0 8 Hattargi ( Public Funded ) Karnataka
33 HCM/EME 155.0 235.0 5190.0 80.0 8 Hattargi ( Public Funded ) Karnataka
34 7 or more Axle 190.0 285.0 6315.0 95.0 8 Hattargi ( Public Funded ) Karnataka
35 Car/Jeep/Van 75.0 115.0 2500.0 40.0 9 Kognoli ( Public Funded ) Karnataka
36 LCV 120.0 180.0 4040.0 60.0 9 Kognoli ( Public Funded ) Karnataka
37 Bus/Truck 255.0 380.0 8465.0 125.0 9 Kognoli ( Public Funded ) Karnataka
38 Upto 3 Axle Vehicle 275.0 415.0 9235.0 140.0 9 Kognoli ( Public Funded ) Karnataka
39 4 to 6 Axle 400.0 595.0 13275.0 200.0 9 Kognoli ( Public Funded ) Karnataka
40 HCM/EME 400.0 595.0 13275.0 200.0 9 Kognoli ( Public Funded ) Karnataka
41 7 or more Axle 485.0 725.0 16165.0 240.0 9 Kognoli ( Public Funded ) Karnataka
42 Car/Jeep/Van 90.0 135.0 3015.0 45.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
43 LCV 145.0 220.0 4870.0 75.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
44 Bus/Truck 305.0 460.0 10205.0 155.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
45 Upto 3 Axle Vehicle 335.0 500.0 11130.0 165.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
46 4 to 6 Axle 480.0 720.0 16000.0 240.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
47 HCM/EME 480.0 720.0 16000.0 240.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
48 7 or more Axle 585.0 870.0 19480.0 290.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
49 Car/Jeep/Van 25.0 40.0 895.0 15.0 11 Brahamarakotlu ( Public Funded ) Karnataka
50 LCV 45.0 65.0 1445.0 20.0 11 Brahamarakotlu ( Public Funded ) Karnataka
51 Bus/Truck 90.0 135.0 3025.0 45.0 11 Brahamarakotlu ( Public Funded ) Karnataka
52 Upto 3 Axle Vehicle 100.0 150.0 3300.0 50.0 11 Brahamarakotlu ( Public Funded ) Karnataka
53 4 to 6 Axle 140.0 215.0 4745.0 70.0 11 Brahamarakotlu ( Public Funded ) Karnataka
54 HCM/EME 140.0 215.0 4745.0 70.0 11 Brahamarakotlu ( Public Funded ) Karnataka
55 7 or more Axle 175.0 260.0 5775.0 85.0 11 Brahamarakotlu ( Public Funded ) Karnataka
56 Car/Jeep/Van 25.0 35.0 785.0 10.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
57 LCV 40.0 55.0 1265.0 20.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
58 Bus/Truck 80.0 120.0 2650.0 40.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
59 Upto 3 Axle Vehicle 85.0 130.0 2890.0 45.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
60 4 to 6 Axle 125.0 185.0 4155.0 60.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
61 HCM/EME 125.0 185.0 4155.0 60.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
62 7 or more Axle 150.0 230.0 5055.0 75.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
63 Car/Jeep/Van 80.0 120.0 2655.0 40.0 13 Bassi ( OMT ) Rajasthan
64 LCV 130.0 195.0 4285.0 65.0 13 Bassi ( OMT ) Rajasthan
65 Bus/Truck 270.0 405.0 8980.0 135.0 13 Bassi ( OMT ) Rajasthan
66 Upto 3 Axle Vehicle 295.0 440.0 9795.0 145.0 13 Bassi ( OMT ) Rajasthan
67 4 to 6 Axle 420.0 635.0 14080.0 210.0 13 Bassi ( OMT ) Rajasthan
68 HCM/EME 420.0 635.0 14080.0 210.0 13 Bassi ( OMT ) Rajasthan
69 7 or more Axle 515.0 770.0 17145.0 255.0 13 Bassi ( OMT ) Rajasthan
70 Car/Jeep/Van 70.0 100.0 2260.0 35.0 14 Aroli ( OMT ) Rajasthan
71 LCV 110.0 165.0 3645.0 55.0 14 Aroli ( OMT ) Rajasthan
72 Bus/Truck 230.0 345.0 7640.0 115.0 14 Aroli ( OMT ) Rajasthan
73 Upto 3 Axle Vehicle 250.0 375.0 8335.0 125.0 14 Aroli ( OMT ) Rajasthan
74 4 to 6 Axle 360.0 540.0 11985.0 180.0 14 Aroli ( OMT ) Rajasthan
75 HCM/EME 360.0 540.0 11985.0 180.0 14 Aroli ( OMT ) Rajasthan
76 7 or more Axle 440.0 655.0 14590.0 220.0 14 Aroli ( OMT ) Rajasthan
from bs4 import BeautifulSoup
import requests
import pandas as pd
import time
columns=['ID','Toll Plaza Name','State','Type Of Vehicle','Single Journey','Return Journey','Monthly Pass','Commercial Vehicle Registered within the district of plaza']
df=pd.DataFrame(columns=columns)
row_count=0
URL = "https://tis.nhai.gov.in/TollInformation.aspx?TollPlazaID="
for i in range(0,491):
URL+=str(i+4)
print(i+4)
r = requests.get(URL)
soup = BeautifulSoup(r.content, 'html.parser')
div = soup.find('div', attrs = {'id':'DivContaint','class':'content'})
#print(div)
name= div.find('lable').text
#print('Name: ',name)
state=div.find('div', attrs = {'class':'PA15'}).p.text.split('in')[1].split('Stretch')[0].strip()
#print('State: ', state)
table=div.find('table',attrs={'class':'tollinfotbl'})
rows=table.find_all('tr')
for j in range(1,14,2):
df.loc[row_count,'ID']=i+4
df.loc[row_count,'Toll Plaza Name']=name
df.loc[row_count,'State']=state
typeOfVehicle=rows[j].th.text
df.loc[row_count,'Type Of Vehicle']=typeOfVehicle.strip()
td=rows[j].find_all('td')
df.loc[row_count,'Single Journey']=td[0].text
df.loc[row_count,'Return Journey']=td[1].text
df.loc[row_count,'Monthly Pass']=td[2].text
df.loc[row_count,'Commercial Vehicle Registered within the district of plaza']=td[3].text
row_count+=1
del r, soup, div, name, state, table, td
df.to_excel("output.xlsx")
#time.sleep(2)
输出： 4个 5个 6个 7 8
AttributeError Traceback（最后一次调用） 在 15 div = soup.find('div', 属性 = {'id':'DivContaint','class':'content'}) 16#打印（div） ---> 17 名称= div.find('lable').text 18 #print('Name: ',姓名) 19 state=div.find('div', attrs = {'class':'PA15'}).p.text.split('in')[1].split( 'Stretch')[0].strip()
AttributeError: 'NoneType' 对象没有属性 'text'
因此，在第 8 次 id 迭代中，我得到的 div 内容是空的。但是，如果我只尝试那个特定的 id，即 8。获得正确的输出。
按照您的逻辑，它不是遍历每个“广场”，而是将其串联起来。通过那个“第 8 个”广场，它试图去 url 'https://tis.nhai.gov.in/TollInformation.aspx?TollPlazaID=45678'，但它不存在。
此外，如果您只是将每个 i 加 4，为什么不将范围从 (0,491) 调整为 (4,495)？
我还会考虑使用 pandas 来解析 table。个人喜好而已。
最后，您是否意识到在每次迭代之后，您都在覆盖您的 output.xlsx 文件？我想这很好，因为你只是附加到它，但不确定那是你想要的。
这是第一页第 4-15 页的示例代码（我不会坐下来完成所有 490 多次迭代）。
from bs4 import BeautifulSoup
import requests
import pandas as pd
import time
root_url = "https://tis.nhai.gov.in/TollInformation.aspx?TollPlazaID="
final_df = pd.DataFrame()
for i in range(4,495):
url = f'{root_url}{i}'
print(i)
r = requests.get(url)
df = pd.read_html(r.text)[0].dropna(how='all', axis=0)
soup = BeautifulSoup(r.content, 'html.parser')
div = soup.find('div', attrs = {'id':'DivContaint','class':'content'})
#print(div)
name= div.find('lable').text
#print('Name: ',name)
state=div.find('div', attrs = {'class':'PA15'}).p.text.split('in')[1].split('Stretch')[0].strip()
#print('State: ', state)
df['ID'] = i
df['Toll Plaza Name'] = name
df['State'] = state
final_df = final_df.append(df).reset_index(drop=True)
#time.sleep(2)
final_df.to_excel("output.xlsx", index=False)
输出：
print(final_df.to_string())
Type of vehicle Single Journey Return Journey Monthly Pass Commercial Vehicle Registered within the district of plaza ID Toll Plaza Name State
0 Car/Jeep/Van 95.0 145.0 2860.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
1 LCV 165.0 250.0 5005.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
2 Bus/Truck 335.0 500.0 10010.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
3 Upto 3 Axle Vehicle 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
4 4 to 6 Axle 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
5 HCM/EME 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
6 7 or more Axle 535.0 805.0 16090.0 NaN 4 Thakurtola (End of Durg Bypass) ( BOT (Toll) ) Chhattisgarh
7 Car/Jeep/Van 55.0 80.0 1795.0 25.0 5 Bankapur ( Public Funded ) Karnataka
8 LCV 85.0 130.0 2905.0 45.0 5 Bankapur ( Public Funded ) Karnataka
9 Bus/Truck 180.0 275.0 6080.0 90.0 5 Bankapur ( Public Funded ) Karnataka
10 Upto 3 Axle Vehicle 200.0 300.0 6635.0 100.0 5 Bankapur ( Public Funded ) Karnataka
11 4 to 6 Axle 285.0 430.0 9540.0 145.0 5 Bankapur ( Public Funded ) Karnataka
12 HCM/EME 285.0 430.0 9540.0 145.0 5 Bankapur ( Public Funded ) Karnataka
13 7 or more Axle 350.0 525.0 11610.0 175.0 5 Bankapur ( Public Funded ) Karnataka
14 Car/Jeep/Van 100.0 145.0 3270.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
15 LCV 160.0 240.0 5280.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
16 Bus/Truck 330.0 500.0 11065.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
17 Upto 3 Axle Vehicle 520.0 780.0 17350.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
18 4 to 6 Axle 520.0 780.0 17350.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
19 HCM/EME 520.0 780.0 17350.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
20 7 or more Axle 635.0 950.0 21120.0 NaN 6 Hirebagewadi ( BOT (Toll) ) Karnataka
21 Car/Jeep/Van 60.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
22 LCV 125.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
23 Bus/Truck 185.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
24 Upto 3 Axle Vehicle 280.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
25 4 to 6 Axle 280.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
26 HCM/EME 375.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
27 7 or more Axle 280.0 NaN NaN NaN 7 Durg Bypass (Dhamdanaka) ( BOT (Toll) ) Chhattisgarh
28 Car/Jeep/Van 30.0 45.0 980.0 15.0 8 Hattargi ( Public Funded ) Karnataka
29 LCV 45.0 70.0 1580.0 25.0 8 Hattargi ( Public Funded ) Karnataka
30 Bus/Truck 100.0 150.0 3310.0 50.0 8 Hattargi ( Public Funded ) Karnataka
31 Upto 3 Axle Vehicle 110.0 160.0 3610.0 55.0 8 Hattargi ( Public Funded ) Karnataka
32 4 to 6 Axle 155.0 235.0 5190.0 80.0 8 Hattargi ( Public Funded ) Karnataka
33 HCM/EME 155.0 235.0 5190.0 80.0 8 Hattargi ( Public Funded ) Karnataka
34 7 or more Axle 190.0 285.0 6315.0 95.0 8 Hattargi ( Public Funded ) Karnataka
35 Car/Jeep/Van 75.0 115.0 2500.0 40.0 9 Kognoli ( Public Funded ) Karnataka
36 LCV 120.0 180.0 4040.0 60.0 9 Kognoli ( Public Funded ) Karnataka
37 Bus/Truck 255.0 380.0 8465.0 125.0 9 Kognoli ( Public Funded ) Karnataka
38 Upto 3 Axle Vehicle 275.0 415.0 9235.0 140.0 9 Kognoli ( Public Funded ) Karnataka
39 4 to 6 Axle 400.0 595.0 13275.0 200.0 9 Kognoli ( Public Funded ) Karnataka
40 HCM/EME 400.0 595.0 13275.0 200.0 9 Kognoli ( Public Funded ) Karnataka
41 7 or more Axle 485.0 725.0 16165.0 240.0 9 Kognoli ( Public Funded ) Karnataka
42 Car/Jeep/Van 90.0 135.0 3015.0 45.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
43 LCV 145.0 220.0 4870.0 75.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
44 Bus/Truck 305.0 460.0 10205.0 155.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
45 Upto 3 Axle Vehicle 335.0 500.0 11130.0 165.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
46 4 to 6 Axle 480.0 720.0 16000.0 240.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
47 HCM/EME 480.0 720.0 16000.0 240.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
48 7 or more Axle 585.0 870.0 19480.0 290.0 10 Tundla ( BOT (Toll) ) Uttar Pradesh
49 Car/Jeep/Van 25.0 40.0 895.0 15.0 11 Brahamarakotlu ( Public Funded ) Karnataka
50 LCV 45.0 65.0 1445.0 20.0 11 Brahamarakotlu ( Public Funded ) Karnataka
51 Bus/Truck 90.0 135.0 3025.0 45.0 11 Brahamarakotlu ( Public Funded ) Karnataka
52 Upto 3 Axle Vehicle 100.0 150.0 3300.0 50.0 11 Brahamarakotlu ( Public Funded ) Karnataka
53 4 to 6 Axle 140.0 215.0 4745.0 70.0 11 Brahamarakotlu ( Public Funded ) Karnataka
54 HCM/EME 140.0 215.0 4745.0 70.0 11 Brahamarakotlu ( Public Funded ) Karnataka
55 7 or more Axle 175.0 260.0 5775.0 85.0 11 Brahamarakotlu ( Public Funded ) Karnataka
56 Car/Jeep/Van 25.0 35.0 785.0 10.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
57 LCV 40.0 55.0 1265.0 20.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
58 Bus/Truck 80.0 120.0 2650.0 40.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
59 Upto 3 Axle Vehicle 85.0 130.0 2890.0 45.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
60 4 to 6 Axle 125.0 185.0 4155.0 60.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
61 HCM/EME 125.0 185.0 4155.0 60.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
62 7 or more Axle 150.0 230.0 5055.0 75.0 12 Cable Stayed Naini Bridge ( Public Funded ) i Bridge ( Public Funded ) Km 1.600 - NH-30
63 Car/Jeep/Van 80.0 120.0 2655.0 40.0 13 Bassi ( OMT ) Rajasthan
64 LCV 130.0 195.0 4285.0 65.0 13 Bassi ( OMT ) Rajasthan
65 Bus/Truck 270.0 405.0 8980.0 135.0 13 Bassi ( OMT ) Rajasthan
66 Upto 3 Axle Vehicle 295.0 440.0 9795.0 145.0 13 Bassi ( OMT ) Rajasthan
67 4 to 6 Axle 420.0 635.0 14080.0 210.0 13 Bassi ( OMT ) Rajasthan
68 HCM/EME 420.0 635.0 14080.0 210.0 13 Bassi ( OMT ) Rajasthan
69 7 or more Axle 515.0 770.0 17145.0 255.0 13 Bassi ( OMT ) Rajasthan
70 Car/Jeep/Van 70.0 100.0 2260.0 35.0 14 Aroli ( OMT ) Rajasthan
71 LCV 110.0 165.0 3645.0 55.0 14 Aroli ( OMT ) Rajasthan
72 Bus/Truck 230.0 345.0 7640.0 115.0 14 Aroli ( OMT ) Rajasthan
73 Upto 3 Axle Vehicle 250.0 375.0 8335.0 125.0 14 Aroli ( OMT ) Rajasthan
74 4 to 6 Axle 360.0 540.0 11985.0 180.0 14 Aroli ( OMT ) Rajasthan
75 HCM/EME 360.0 540.0 11985.0 180.0 14 Aroli ( OMT ) Rajasthan
76 7 or more Axle 440.0 655.0 14590.0 220.0 14 Aroli ( OMT ) Rajasthan