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live_PARSER.py
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live_PARSER.py
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from bs4 import BeautifulSoup
import requests as req
import pandas as pd
import numpy as np
import os
import Structure
main_path_data = os.path.abspath("./data")
################################## SHOW ALL ROWS & COLS ####################################
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)
pd.set_option('display.expand_frame_repr', False)
pd.set_option('max_colwidth', None)
def new_live_refresh():
# resp = req.get('https://ru.dltv.org/matches')
# soup = BeautifulSoup(resp.text, 'lxml')
# print(soup.prettify())
with open(main_path_data + "\\live_matches.html", "r", encoding='utf-8') as f:
contents = f.read()
soup = BeautifulSoup(contents, 'lxml')
####################### LIVE MATCHES ##########################################
Mtour_live = []
match_id_live = []
Mlinks_live = []
Mmap_live = []
Mtime_live = []
Mtypes_live = []
T1_live_score1 = []
T1_live_score2 = []
T2_live_score1 = []
T2_live_score2 = []
teams = []
logos = []
for rows in soup.find_all("div", attrs={"class": "event-box live-matches scrolling-inner-big jsLiveMatches"}):
for item in rows.find_all("div", attrs={"class": "live-matches-row"}):
id = item["data-serie-id"]
# print(id) #shows: ALL MATCHES ids
match_id_live.append(id)
for na in item.find_all("a", attrs={"class": "abs-link"}):
Mlinks_live.append(na.get('href'))
# print(na.get('href')) #shows: ALL MATCHES LINKS
for na in item.find_all("table", attrs={"class": "table"}):
for rep in na.find_all("td", attrs={"class": "mobile-none border-left"}):
for nas in rep.find_all("a"):
Mtour_live.append(nas.text.replace('\n', '').replace(' ', '').strip()) #shows: ALL TOURS Names
for rep in na.find_all("td", attrs={"class": "mobile-none border-right"}):
for nas in rep.find_all("p"):
Mtypes_live.append(nas.text.replace('\n', '').replace(' ', '').strip()) #shows: ALL MATCHES TYPE
for rep in na.find_all("td", attrs={"class": "border-left border-right"}):
for nas2 in rep.find_all("div", attrs={"class": "map-time"}):
data4 = nas2.text.replace('\n', '').replace(' ', '').strip()
Mtime_live.append(data4[4:])
# print(data4[4:])
for nas3 in nas2.find_all("span", attrs={"class": "jsMatchMapNumber"}):
Mmap_live.append(nas3.text.replace('\n', '').strip()) #shows: ALL MATCHES MAP #
for rep in na.find_all("td", attrs={"class": "border-left"}):
for ids in rep.find_all('div', attrs={"teams-date__left"}):
teams.append(ids.text.replace('\n', '').replace(' ', '').strip()) #shows: ALL MATCHES teams
for ids in rep.find_all('img'):
# T1logos.append(id.get('src').replace('Nan', '').strip())
logos.append(ids.get('src')) #shows: ALL MATCHES logos
for ids in rep.find_all('div', attrs={"team-score"}):
# print(ids.text.replace('\n', '').replace(' ', '').strip()) #shows: ALL MATCHES SCORE
for ids2 in ids.find_all('div', attrs={"diff-score__left mobile-none"}):
T1_live_score2.append(ids.text.replace('\n', '').replace(' ', '').strip()) # shows: ALL MATCHES SCORE
for ids2 in ids.find_all('div', attrs={"diff-score__right"}):
# print(ids.text.replace('\n', '').replace(' ', '').strip())
T2_live_score2.append(ids.text.replace('\n', '').replace(' ', '').strip()) # shows: ALL MATCHES SCORE
for ids in na.find_all('td', attrs={"border-left jsFirstTeamScore"}):
# print(ids.text.replace('\n', '').replace(' ', '').strip())
T1_live_score1.append(
ids.text.replace('\n', '').replace(' ', '').strip()) # shows: ALL MATCHES SCORE
for ids in na.find_all('td', attrs={"border-left jsSecondTeamScore"}):
T2_live_score1.append(
ids.text.replace('\n', '').replace(' ', '').strip()) # shows: ALL MATCHES SCORE
logos2 = logos[1:]
teams2 = teams[1:]
T1names_live = teams[::2]
T2names_live = teams2[::2]
T1logos_live = logos[::2]
T2logos_live = logos2[::2]
dw_live = {
'Mtour_live': Mtour_live,
'match_id_live': match_id_live,
'Mlinks_live': Mlinks_live,
'Mmap_live': Mmap_live,
'Mtime_live': Mtime_live,
'Mtypes_live': Mtypes_live,
'T1_live_score1': T1_live_score1,
'T1_live_score2': T1_live_score2,
'T2_live_score1': T2_live_score1,
'T2_live_score2': T2_live_score2,
'T1names_live': T1names_live,
'T2names_live': T2names_live,
'T1logos_live': T1logos_live,
'T2logos_live': T2logos_live
}
df_live = pd.DataFrame(data=dw_live)
print(df_live)
new_live_refresh()