Looking for way to read table content in HTML file from Python3

I am looking for reading NIFTY 50 Low and High values from the below web page in Python3.

https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm

I tried using bs4 and selenium webdrivers to read these values. Could you please let me know how can I read them?

Regards,
Ram

asked Dec 28 '18 at 0:47

Ram

1

try beautifulsoup.
– Dan Farrell
Dec 28 '18 at 0:49

@DanFarrell bs4 is beautifulsoup, which OP mentioned they have tried already
– davedwards
Dec 28 '18 at 1:25

@Ram, how did you try using bs4 and selenium? can you show us your code? then we can provide suggestions or solutions.
– davedwards
Dec 28 '18 at 2:53

add a comment |

I am looking for reading NIFTY 50 Low and High values from the below web page in Python3.

https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm

I tried using bs4 and selenium webdrivers to read these values. Could you please let me know how can I read them?

Regards,
Ram

asked Dec 28 '18 at 0:47

Ram

1

try beautifulsoup.
– Dan Farrell
Dec 28 '18 at 0:49

@DanFarrell bs4 is beautifulsoup, which OP mentioned they have tried already
– davedwards
Dec 28 '18 at 1:25

@Ram, how did you try using bs4 and selenium? can you show us your code? then we can provide suggestions or solutions.
– davedwards
Dec 28 '18 at 2:53

add a comment |

I am looking for reading NIFTY 50 Low and High values from the below web page in Python3.

https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm

I tried using bs4 and selenium webdrivers to read these values. Could you please let me know how can I read them?

Regards,
Ram

asked Dec 28 '18 at 0:47

Ram

I am looking for reading NIFTY 50 Low and High values from the below web page in Python3.

https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm

I tried using bs4 and selenium webdrivers to read these values. Could you please let me know how can I read them?

Regards,
Ram

html python-3.x

asked Dec 28 '18 at 0:47

Ram

asked Dec 28 '18 at 0:47

Ram

asked Dec 28 '18 at 0:47

Ram

asked Dec 28 '18 at 0:47

Ram

asked Dec 28 '18 at 0:47

Ram

1

try beautifulsoup.
– Dan Farrell
Dec 28 '18 at 0:49

@DanFarrell bs4 is beautifulsoup, which OP mentioned they have tried already
– davedwards
Dec 28 '18 at 1:25

@Ram, how did you try using bs4 and selenium? can you show us your code? then we can provide suggestions or solutions.
– davedwards
Dec 28 '18 at 2:53

add a comment |

1

try beautifulsoup.
– Dan Farrell
Dec 28 '18 at 0:49

@DanFarrell bs4 is beautifulsoup, which OP mentioned they have tried already
– davedwards
Dec 28 '18 at 1:25

@Ram, how did you try using bs4 and selenium? can you show us your code? then we can provide suggestions or solutions.
– davedwards
Dec 28 '18 at 2:53

try beautifulsoup.
– Dan Farrell
Dec 28 '18 at 0:49

@DanFarrell bs4 is beautifulsoup, which OP mentioned they have tried already
– davedwards
Dec 28 '18 at 1:25

@Ram, how did you try using bs4 and selenium? can you show us your code? then we can provide suggestions or solutions.
– davedwards
Dec 28 '18 at 2:53

add a comment |

1 Answer
1

active

oldest

votes

Without seeing your code with Selenium and bs4 we don't know why it didn't work for you. But this code seems to work:

import bs4

import requests

from selenium import webdriver



url = 'https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm'



options = webdriver.ChromeOptions()

options.add_argument('headless')                # disable Chrome browser GUI interface

driver = webdriver.Chrome(r'path_to_chromedriver.exe', options=options)

driver.get(url)



soup = bs4.BeautifulSoup(driver.page_source, 'html.parser')



table = soup.find('table', id='liveIndexWatch') # get the first table

nifty_50_row = table.find_all('tr')[2]          # get first row of prices



high_low = nifty_50_row.find_all('td')[4:6]     # get 'high'/'low' columns



# format output

print('NIFTY 50 High: {h} Low: {l}'.format(h=high_low[0].text, l=high_low[1].text))

prints:

NIFTY 50 High: 10,834.20 Low: 10,764.45         # current values

edited Dec 28 '18 at 2:57

answered Dec 28 '18 at 2:39

davedwards

5,22021131

add a comment |

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1 Answer
1

active

oldest

votes

1 Answer
1

active

oldest

votes

Without seeing your code with Selenium and bs4 we don't know why it didn't work for you. But this code seems to work:

import bs4

import requests

from selenium import webdriver



url = 'https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm'



options = webdriver.ChromeOptions()

options.add_argument('headless')                # disable Chrome browser GUI interface

driver = webdriver.Chrome(r'path_to_chromedriver.exe', options=options)

driver.get(url)



soup = bs4.BeautifulSoup(driver.page_source, 'html.parser')



table = soup.find('table', id='liveIndexWatch') # get the first table

nifty_50_row = table.find_all('tr')[2]          # get first row of prices



high_low = nifty_50_row.find_all('td')[4:6]     # get 'high'/'low' columns



# format output

print('NIFTY 50 High: {h} Low: {l}'.format(h=high_low[0].text, l=high_low[1].text))

prints:

NIFTY 50 High: 10,834.20 Low: 10,764.45         # current values

edited Dec 28 '18 at 2:57

answered Dec 28 '18 at 2:39

davedwards

5,22021131

add a comment |

Without seeing your code with Selenium and bs4 we don't know why it didn't work for you. But this code seems to work:

import bs4

import requests

from selenium import webdriver



url = 'https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm'



options = webdriver.ChromeOptions()

options.add_argument('headless')                # disable Chrome browser GUI interface

driver = webdriver.Chrome(r'path_to_chromedriver.exe', options=options)

driver.get(url)



soup = bs4.BeautifulSoup(driver.page_source, 'html.parser')



table = soup.find('table', id='liveIndexWatch') # get the first table

nifty_50_row = table.find_all('tr')[2]          # get first row of prices



high_low = nifty_50_row.find_all('td')[4:6]     # get 'high'/'low' columns



# format output

print('NIFTY 50 High: {h} Low: {l}'.format(h=high_low[0].text, l=high_low[1].text))

prints:

NIFTY 50 High: 10,834.20 Low: 10,764.45         # current values

edited Dec 28 '18 at 2:57

answered Dec 28 '18 at 2:39

davedwards

5,22021131

add a comment |

Without seeing your code with Selenium and bs4 we don't know why it didn't work for you. But this code seems to work:

import bs4

import requests

from selenium import webdriver



url = 'https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm'



options = webdriver.ChromeOptions()

options.add_argument('headless')                # disable Chrome browser GUI interface

driver = webdriver.Chrome(r'path_to_chromedriver.exe', options=options)

driver.get(url)



soup = bs4.BeautifulSoup(driver.page_source, 'html.parser')



table = soup.find('table', id='liveIndexWatch') # get the first table

nifty_50_row = table.find_all('tr')[2]          # get first row of prices



high_low = nifty_50_row.find_all('td')[4:6]     # get 'high'/'low' columns



# format output

print('NIFTY 50 High: {h} Low: {l}'.format(h=high_low[0].text, l=high_low[1].text))

prints:

NIFTY 50 High: 10,834.20 Low: 10,764.45         # current values

edited Dec 28 '18 at 2:57

answered Dec 28 '18 at 2:39

davedwards

5,22021131

Without seeing your code with Selenium and bs4 we don't know why it didn't work for you. But this code seems to work:

import bs4

import requests

from selenium import webdriver



url = 'https://www.nseindia.com/live_market/dynaContent/live_watch/live_index_watch.htm'



options = webdriver.ChromeOptions()

options.add_argument('headless')                # disable Chrome browser GUI interface

driver = webdriver.Chrome(r'path_to_chromedriver.exe', options=options)

driver.get(url)



soup = bs4.BeautifulSoup(driver.page_source, 'html.parser')



table = soup.find('table', id='liveIndexWatch') # get the first table

nifty_50_row = table.find_all('tr')[2]          # get first row of prices



high_low = nifty_50_row.find_all('td')[4:6]     # get 'high'/'low' columns



# format output

print('NIFTY 50 High: {h} Low: {l}'.format(h=high_low[0].text, l=high_low[1].text))

prints:

NIFTY 50 High: 10,834.20 Low: 10,764.45         # current values

edited Dec 28 '18 at 2:57

answered Dec 28 '18 at 2:39

davedwards

5,22021131

edited Dec 28 '18 at 2:57

answered Dec 28 '18 at 2:39

davedwards

5,22021131

answered Dec 28 '18 at 2:39

davedwards

5,22021131

answered Dec 28 '18 at 2:39

davedwards

5,22021131

add a comment |

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