A break down of how to grab all of the analyst data from Webull for every stock.

webull_analyst_script.py

#Import all packages needed
import pandas as pd
import numpy as np
from config import username, password
from progressbar import progressbar
from webull import webull # for paper trading, import 'paper_webull'

#login to webull/authenticate with API
wb = webull()
wb.login(username, password)

#Grab all active stocks on webull
data = wb.get_active_gainer_loser('active', 9999)

#Convert to dataframe
data = pd.DataFrame(data)


#Add columns and zero values for ratings data
data['ratingTotal'] = np.zeros(len(data.tickerId))
data['ratingAnalysis'] = np.zeros(len(data.tickerId))
data['underPerform'] = np.zeros(len(data.tickerId))
data['buy'] = np.zeros(len(data.tickerId))
data['sell'] = np.zeros(len(data.tickerId))
data['strongBuy'] = np.zeros(len(data.tickerId))
data['hold'] = np.zeros(len(data.tickerId))

#Add columns and zero values for targetPrice data
data['targetLow'] = np.zeros(len(data.tickerId))
data['targetHigh'] = np.zeros(len(data.tickerId))
data['current'] = np.zeros(len(data.tickerId))
data['mean'] = np.zeros(len(data.tickerId))

#Loop through all of the stocks
for i in progressbar(range(len(data.symbol))):
    try: 
        stock = wb.get_analysis(data.loc[i,'symbol'])
        #Ratings
        data.loc[i,'ratingTotal'] = stock['rating']['ratingAnalysisTotals']
        data.loc[i,'ratingAnalysis'] = stock['rating']['ratingAnalysis']
        data.loc[i,'underPerform'] = stock['rating']['ratingSpread']['underPerform']
        data.loc[i,'buy'] = stock['rating']['ratingSpread']['buy']
        data.loc[i,'sell'] = stock['rating']['ratingSpread']['sell']
        data.loc[i,'strongBuy'] = stock['rating']['ratingSpread']['strongBuy']
        data.loc[i,'hold'] = stock['rating']['ratingSpread']['hold']
        #TargetPrice
        data.loc[i,'targetLow'] = stock['targetPrice']['low']
        data.loc[i,'targetHigh'] = stock['targetPrice']['high']
        data.loc[i,'current'] = stock['targetPrice']['current']
        data.loc[i,'mean'] = stock['targetPrice']['mean']
    except KeyboardInterrupt:
        break
    except:
        pass

#Drop to CSV file
data.to_csv("wb_analysis_data.csv", index = False)