import requests
from bs4 import BeautifulSoup
import pandas as pd
import streamlit as st
import re
import time
st.title("Web Scraping MLB")
my_bar = st.progress(0)
for percent_complete in range(100):
time.sleep(0.1)
my_bar.progress(percent_complete + 1)
def get_object(url):
soup = BeautifulSoup(requests.get(url).content,'html.parser')
return soup
def get_all_summary_career(bsObject):
table = [i for i in bsObject.find("div",class_ = "player-stats-summary-large")]
df_html = pd.read_html(str(table))[0]
df = pd.DataFrame(df_html)
return df
links = []
for i in range(1,7):
url = "https://www.mlb.com/stats" + "/?page" + "=" + str(i)
links.append(url)
lista_players = []
for item in links:
result = requests.get(item).content
bsObject = BeautifulSoup(result,'html.parser')
for player in bsObject.find("tbody",class_ = "notranslate").find_all("a"):
all_players = "https://www.mlb.com" + player.get("href")
soup = get_object(all_players)
data = get_all_summary_career(soup)
players = soup.find(class_ = "full-name").text
born = list(soup.find("div", class_ = "player-header--vitals").text)
players_list = list(filter(None,players.split("Fullname:")))
lista_players.append(players_list)
choice = st.sidebar.selectbox("Escolha o Jogador:", lista_players)
if choice :
st.dataframe(data)
#streamlit run mlb.py
1 Like
Bem-vindo à comunidade Streamlit! 
Welcome to the Streamlit Community!
Não sei nenhum português, por isso estou usando o Google Translate para me ajudar (desculpe se é uma tradução muito ruim 
)
I don’t know any Portuguese, so I am using Google Translate to help me (so sorry if its a very bad translation )
Eu adoraria ver uma captura de tela do seu aplicativo em ação! Sinta-se à vontade para postar um aqui 
I would love to see a screenshot of your app in action! Feel free to post one here
Mal posso esperar para ver o que você faz a seguir!
Can’t wait to see what you make next!
Marisa
1 Like
@Marisa_Smith : that was perfect 
@Isabele_Alves_Pereir : Benvinda! Eu ia responder mas a Marisa já disse tudo, haha.
2 Likes
