To interpret the json-data as a DataFrame object Pandas requires the same length
of all entries. So,
pd.read_json(...)
will fail to convert data to a valid DataFrame.
However, you can load it as a Series, e.g.
import pandas as pd
data = pd.read_json('https://api.binance.com/api/v1/exchangeInfo', typ='series')
From now, you can follow different ways to interpret the data as a DataFrame object: use Pandas MultiIndex and build a panel data structure, or build a DataFrame object directly, e.g.
my_df = pd.concat([pd.DataFrame(data.symbols[j]['filters']).assign(symbol_id=j) for j in range(len(data.symbols))]).reset_index()
Note, in this code I used
assign
method to store symbol ids (it might be useful for future analysis).