Issue
I am trying to scrap prices, miles and models of different cars from truecar.com. I think, I find appropriate tags from the website but my code doesn't give me the suitable data. my code give me empty data and I do not find the problem. May you please help me? I receive unexpected indent when defining price, miles and model.
import requests
from bs4 import BeautifulSoup
import mysql.connector
url='https://www.truecar.com/used-cars-for-sale/listings/'
r=requests.get(url)
soup=BeautifulSoup(r.text,'html.parser')
data = []
for card in soup.select('[class="card-content vehicle-card-body order-3 vehicle-card-carousel-
body"]'):
price = card.select_one('[class="heading-3 margin-y-1 font-weight-bold"]').text
miles = card.select_one('div[class="d-flex w-100 justify-content-between"]').text
models=card.select_one('div[class="vehicle-card-top"]').text
data.append({'price':price,'miles':miles,'models':models})
print(data)
Solution
You can use the following selectors to fetch the data.
import requests
from bs4 import BeautifulSoup
url='https://www.truecar.com/used-cars-for-sale/listings/'
r=requests.get(url)
soup=BeautifulSoup(r.text,'html.parser')
cards = soup.select('div.linkable.card.card-shadow.vehicle-card._1qd1muk')
data = []
for card in cards:
vehicleCardYearMakeModel = card.find("div", {"data-test" : "vehicleCardYearMakeModel"}).text.replace('Sponsored', '')
vehicleMileage = card.find("div", {"data-test" : "vehicleMileage"}).text
vehiclePrice = card.find("div", {"data-test" : "vehicleCardPricingBlockPrice"}).text
data.append({'price':vehiclePrice,'miles':vehicleMileage,'models':vehicleCardYearMakeModel})
which gives you the expected output
[{'price': '$48,499', 'miles': '33,544 miles', 'models': '2018 BMW X5'}, {'price': '$19,900', 'miles': '76,418 miles', 'models': '2018 Chevrolet Equinox'}, {'price': '$48,795', 'miles': '40,551 miles', 'models': '2018 BMW 7 Series'}, {'price': '$14,445', 'miles': '169,206 miles', 'models': '2019 Nissan Rogue'}, {'price': '$21,174', 'miles': '22 miles', 'models': '2020 Kia Optima'}, {'price': '$9,680', 'miles': '126,555 miles', 'models': '2013 Honda Civic'}, {'price': '$19,300', 'miles': '21,467 miles', 'models': '2020 Toyota Corolla'}, {'price': '$22,000', 'miles': '35,453 miles', 'models': '2020 Chevrolet Malibu'}, {'price': '$10,562', 'miles': '214,543 miles', 'models': '2018 Chevrolet Equinox'}, {'price': '$17,997', 'miles': '51,278 miles', 'models': '2020 Nissan Altima'}, {'price': '$70,788', 'miles': '5,854 miles', 'models': '2022 Ford Super Duty F-250'}, {'price': '$21,500', 'miles': '15,230 miles', 'models': '2020 Chevrolet Equinox'}, {'price': '$12,999', 'miles': '148,605 miles', 'models': '2018 Ford Escape'}, {'price': '$30,683', 'miles': '51,273 miles', 'models': '2018 Ford F-150'}, {'price': '$10,849', 'miles': '85,539 miles', 'models': '2015 Nissan Altima'}, {'price': '$12,522', 'miles': '118,858 miles', 'models': '2014 Ford Fusion'}, {'price': '$18,995', 'miles': '65,156 miles', 'models': '2020 Chevrolet Malibu'}, {'price': '$19,497', 'miles': '61,376 miles', 'models': '2020 Chevrolet Malibu'}, {'price': '$17,700', 'miles': '53,012 miles', 'models': '2020 Chevrolet Malibu'}, {'price': '$51,775', 'miles': '15,204 miles', 'models': '2021 Toyota Tundra'}, {'price': '$16,977', 'miles': '67,389 miles', 'models': '2019 Dodge Grand Caravan'}, {'price': '$18,900', 'miles': '75,023 miles', 'models': '2020 Chevrolet Malibu'}, {'price': '$18,000', 'miles': '53,271 miles', 'models': '2020 Chevrolet Malibu'}, {'price': '$20,900', 'miles': '182,907 miles', 'models': '2018 Ford F-150'}, {'price': '$15,909', 'miles': '84,249 miles', 'models': '2020 Toyota Corolla'}, {'price': '$18,836', 'miles': '69,731 miles', 'models': '2019 Dodge Grand Caravan'}, {'price': '$9,995', 'miles': '119,941 miles', 'models': '2015 Chrysler 200'}, {'price': '$20,998', 'miles': '36,529 miles', 'models': '2017 Chevrolet Silverado 1500'}, {'price': '$6,800', 'miles': '158,894 miles', 'models': '2015 Nissan Altima'}, {'price': '$11,666', 'miles': '83,328 miles', 'models': '2014 Ford Fusion'}, {'price': '$7,670', 'miles': '64,000 miles', 'models': '2015 Ford Focus'}, {'price': '$16,995', 'miles': '180,663 miles', 'models': '2018 Ford F-150'}, {'price': '$20,990', 'miles': '138,684 miles', 'models': '2016 Ford F-150'}]
Answered By - Himanshuman
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