Reputation: 584
I have been trying to extract the table data from web url https://www.binance.com/en/futures/funding-history/0.
The code below extracts only a portion(headers only) of the table.
import requests
from bs4 import BeautifulSoup
r = requests.get('https://www.binance.com/en/futures/funding-history/0')
soup = BeautifulSoup(r.text, 'html.parser')
resultsTable = soup.findChildren('table')[0]
rows = resultsTable.findChildren(['tr'])
print(rows)
Is there anything I have been missing or is there a better idea to do this job?
Upvotes: 0
Views: 76
Reputation: 20042
But, what you could do is use the API and get the tabular data.
Here's how:
import pandas as pd
import requests
from tabulate import tabulate
response = requests.get("https://www.binance.com/fapi/v1/premiumIndex").json()
print(tabulate(pd.DataFrame(response), headers="keys"))
Output:
symbol markPrice indexPrice estimatedSettlePrice lastFundingRate interestRate nextFundingTime time
-- --------- -------------- -------------- ---------------------- ----------------- -------------- ----------------- -------------
0 EOSUSDT 2.595 2.59304 2.59623 0.00010306 0.0001 1609344000000 1609326650000
1 SUSHIUSDT 2.43947 2.4375 2.44375 0.00014561 0.0001 1609344000000 1609326650000
2 CVCUSDT 0.08707 0.0870002 0.0880487 0.00010314 0.0001 1609344000000 1609326650000
3 BALUSDT 13.5316 13.564 13.6151 -0.00015685 0.0001 1609344000000 1609326650000
4 BNTUSDT 1.31368 1.31368 1.31514 0.0001 0.0001 1609344000000 1609326650000
5 KNCUSDT 0.819237 0.817172 0.818279 0.00070895 0.0001 1609344000000 1609326650000
6 SRMUSDT 1.0391 1.03867 1.04142 0.00013314 0.0001 1609344000000 1609326650000
7 ENJUSDT 0.13201 0.131963 0.132194 0.00045462 0.0001 1609344000000 1609326650000
8 ZRXUSDT 0.3544 0.354151 0.355443 0.00011162 0.0001 1609344000000 1609326650000
9 QTUMUSDT 2.2153 2.21517 2.21938 0.0001 0.0001 1609344000000 1609326650000
10 ZENUSDT 11.0735 11.0484 11.0732 0.0001 0.0001 1609344000000 1609326650000
11 ATOMUSDT 5.66482 5.65481 5.67682 0.00033165 0.0001 1609344000000 1609326650000
12 IOTAUSDT 0.293784 0.293287 0.294668 0.00020508 0.0001 1609344000000 1609326650000
13 WAVESUSDT 6.65303 6.65848 6.68021 -0.00046047 0.0001 1609344000000 1609326650000
14 ADAUSDT 0.179745 0.179608 0.18002 0.0001 0.0001 1609344000000 1609326650000
15 NEARUSDT 1.2445 1.24402 1.24569 0.0001 0.0001 1609344000000 1609326650000
and so on ...
Upvotes: 1