CODEWITHSUNDEEP
pythonpandasweb-scrapingbeautifulsouppython-requests
exec85
exec85

Reputation: 487

python beautifulsoup next page

here is my current code to scrape specific player data from a site:

import requests
import urllib.request
import time
from bs4 import BeautifulSoup
import pandas as pd
from pandas import ExcelWriter
import lxml
import xlsxwriter

page = requests.get('https://www.futbin.com/players?page=1')
soup = BeautifulSoup(page.content, 'lxml')
pool = soup.find(id='repTb')

pnames = pool.find_all(class_='player_name_players_table')
pprice = pool.find_all(class_='ps4_color font-weight-bold')
prating = pool.select('span[class*="form rating ut20"]')


all_player_names = [name.getText() for name in pnames]
all_prices = [price.getText() for price in pprice]
all_pratings = [rating.getText() for rating in prating]

fut_data = pd.DataFrame(
    {
        'Player': all_player_names,
        'Rating': all_pratings,
        'Price': all_prices,
     })

writer = pd.ExcelWriter('file.xlsx', engine='xlsxwriter')

fut_data.to_excel(writer,'Futbin')
writer.save()

print(fut_data)

This is working fine for the first page. But I need to go through 609 pages in total and get the data from all pages.

Could you please help me to re-write this code to make that working? I am still new and learning with this project.

Upvotes: 0

Views: 163

Answers (1)

Alderven
Alderven

Reputation: 8260

You can iterate over all 609 pages, parse each page and at the end save collected data to file.xlsx:

import requests
from bs4 import BeautifulSoup
import pandas as pd

all_player_names = []
all_pratings = []
all_prices = []

for i in range(1, 610):
    page = requests.get('https://www.futbin.com/players?page={}'.format(i))
    soup = BeautifulSoup(page.content, 'lxml')
    pool = soup.find(id='repTb')

    pnames = pool.find_all(class_='player_name_players_table')
    pprice = pool.find_all(class_='ps4_color font-weight-bold')
    prating = pool.select('span[class*="form rating ut20"]')

    all_player_names.extend([name.getText() for name in pnames])
    all_prices.extend([price.getText() for price in pprice])
    all_pratings.extend([rating.getText() for rating in prating])

fut_data = pd.DataFrame({'Player': all_player_names,
                         'Rating': all_pratings,
                         'Price': all_prices})

writer = pd.ExcelWriter('file.xlsx', engine='xlsxwriter')
fut_data.to_excel(writer, 'Futbin')
writer.save()

Upvotes: 1

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