How to scrape tbody from a collapsible table using BeautifulSoup library?
Question:
Recently i did a project based of covid-19 dashboard. Where i use to scrape data from this website which has a collapsible table. Everything was ok till now, now recently the heroku app showing some errors. So i rerun my code in my local machine and the error occured at scraping tbody. Then i figured out that the site i use to scrape data has changed or updated the way it looks (table) and then my code is not able to grab it. I tried viewing page source and i am not able to find the table (tbody) that is on this page.But i am able to find tbody and all the data if i inspect the row of the table but cant find it on page source.How can i scrape the table now ?
My code:
The table i have to grab:
Answers:
The data you see on the page is loaded from external URL via Ajax. You can use requests/json module to load it:
import json
import requests
url = 'https://www.mohfw.gov.in/data/datanew.json'
data = requests.get(url).json()
# uncomment to print all data:
# print(json.dumps(data, indent=4))
# print some data on screen:
for d in data:
print('{:<30} {:<10} {:<10} {:<10} {:<10}'.format(d['state_name'], d['active'], d['positive'], d['cured'], d['death']))
Prints:
Andaman and Nicobar Islands 329 548 214 5
Andhra Pradesh 75720 140933 63864 1349
Arunachal Pradesh 670 1591 918 3
Assam 9814 40269 30357 98
Bihar 17579 51233 33358 296
Chandigarh 369 1051 667 15
Chhattisgarh 2803 9086 6230 53
... and so on.
Try:
import json
import requests
import pandas as pd
data = []
row = []
r = requests.get('https://www.mohfw.gov.in/data/datanew.json')
j = json.loads(r.text)
for i in j:
for k in i:
row.append(i[k])
data.append(row)
row = []
columns = [i for i in j[0]]
df = pd.DataFrame(data, columns=columns)
df.sno = pd.to_numeric(df.sno, errors='coerce').reset_index()
df = df.sort_values('sno',)
print(df.to_string())
prints:
sno state_name active positive cured death new_active new_positive new_cured new_death state_code
0 0 Andaman and Nicobar Islands 329 548 214 5 403 636 226 7 35
1 1 Andhra Pradesh 75720 140933 63864 1349 72188 150209 76614 1407 28
2 2 Arunachal Pradesh 670 1591 918 3 701 1673 969 3 12
3 3 Assam 9814 40269 30357 98 10183 41726 31442 101 18
4 4 Bihar 17579 51233 33358 296 18937 54240 34994 309 10
5 5 Chandigarh 369 1051 667 15 378 1079 683 18 04
6 6 Chhattisgarh 2803 9086 6230 53 2720 9385 6610 55 22
7 7 Dadra and Nagar Haveli and Daman and Diu 412 1100 686 2 418 1145 725 2 26
8 8 Delhi 10705 135598 120930 3963 10596 136716 122131 3989 07
9 9 Goa 1657 5913 4211 45 1707 6193 4438 48 30
10 10 Gujarat 14090 61438 44907 2441 14300 62463 45699 2464 24
and so on…
Recently i did a project based of covid-19 dashboard. Where i use to scrape data from this website which has a collapsible table. Everything was ok till now, now recently the heroku app showing some errors. So i rerun my code in my local machine and the error occured at scraping tbody. Then i figured out that the site i use to scrape data has changed or updated the way it looks (table) and then my code is not able to grab it. I tried viewing page source and i am not able to find the table (tbody) that is on this page.But i am able to find tbody and all the data if i inspect the row of the table but cant find it on page source.How can i scrape the table now ?
My code:
The table i have to grab:
The data you see on the page is loaded from external URL via Ajax. You can use requests/json module to load it:
import json
import requests
url = 'https://www.mohfw.gov.in/data/datanew.json'
data = requests.get(url).json()
# uncomment to print all data:
# print(json.dumps(data, indent=4))
# print some data on screen:
for d in data:
print('{:<30} {:<10} {:<10} {:<10} {:<10}'.format(d['state_name'], d['active'], d['positive'], d['cured'], d['death']))
Prints:
Andaman and Nicobar Islands 329 548 214 5
Andhra Pradesh 75720 140933 63864 1349
Arunachal Pradesh 670 1591 918 3
Assam 9814 40269 30357 98
Bihar 17579 51233 33358 296
Chandigarh 369 1051 667 15
Chhattisgarh 2803 9086 6230 53
... and so on.
Try:
import json
import requests
import pandas as pd
data = []
row = []
r = requests.get('https://www.mohfw.gov.in/data/datanew.json')
j = json.loads(r.text)
for i in j:
for k in i:
row.append(i[k])
data.append(row)
row = []
columns = [i for i in j[0]]
df = pd.DataFrame(data, columns=columns)
df.sno = pd.to_numeric(df.sno, errors='coerce').reset_index()
df = df.sort_values('sno',)
print(df.to_string())
prints:
sno state_name active positive cured death new_active new_positive new_cured new_death state_code
0 0 Andaman and Nicobar Islands 329 548 214 5 403 636 226 7 35
1 1 Andhra Pradesh 75720 140933 63864 1349 72188 150209 76614 1407 28
2 2 Arunachal Pradesh 670 1591 918 3 701 1673 969 3 12
3 3 Assam 9814 40269 30357 98 10183 41726 31442 101 18
4 4 Bihar 17579 51233 33358 296 18937 54240 34994 309 10
5 5 Chandigarh 369 1051 667 15 378 1079 683 18 04
6 6 Chhattisgarh 2803 9086 6230 53 2720 9385 6610 55 22
7 7 Dadra and Nagar Haveli and Daman and Diu 412 1100 686 2 418 1145 725 2 26
8 8 Delhi 10705 135598 120930 3963 10596 136716 122131 3989 07
9 9 Goa 1657 5913 4211 45 1707 6193 4438 48 30
10 10 Gujarat 14090 61438 44907 2441 14300 62463 45699 2464 24
and so on…