python - 如何打印 BeautifulSoup 收集的数据？

Question

之前没有 Python 经验，所以这可能是非常基础的。

我正在尝试记录加拿大零售商 SportChek 销售的所有曲棍球棒的名称和后来的价格。

到目前为止，我的代码如下所示:

 # Import libraries
import requests
from bs4 import BeautifulSoup

# Collect the page
page = requests.get('https://www.sportchek.ca/categories/shop-by-sport/hockey/hockey-sticks.html?cid=search-hockey-sticks')

# Create BeautifulSoup object
soup = BeautifulSoup(page.text, 'html.parser')

# Pull all text from product-title-text class
stick_name_list = soup.find_all(class_='product-title-text')

# Pull all text from product-price-text
stick_price_list = soup.find_all(class_='product-price-text')

我相信这段代码应该收集适当的数据，但我不确定现在如何显示变量。

使用变量名(即“stick_name_list”)返回“[]”，“print stick_name_list”需要括号，但显然“print 'stick_name_list'”是不正确的。

任何指导表示赞赏。

Answer 1

正如其他人所说，您可以直接获取 json(而不是必须解析它)

import requests
import math
from pandas.io.json import json_normalize


url = 'https://www.sportchek.ca/services/sportchek/search-and-promote/products'

headers = {'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/73.0.3683.103 Safari/537.36'}

payload = {
'x1': 'c.category-level-1',
'q1': 'Gear',
'x2': 'c.category-level-2',
'q2': 'Hockey',
'x3': 'c.category-level-3',
'q3': 'Hockey Sticks',
'preselectedCategoriesNumber': '3',
'preselectedBrandsNumber': '0',
'page': '1',
'count': '200'}




jsonData = requests.get(url, headers=headers, params=payload).json()
total_products = jsonData['resultCount']['total']
total_pages = math.ceil(total_products / 200)

for page in range(2, total_pages+1):
    payload = {
            'x1': 'c.category-level-1',
            'q1': 'Gear',
            'x2': 'c.category-level-2',
            'q2': 'Hockey',
            'x3': 'c.category-level-3',
            'q3': 'Hockey Sticks',
            'preselectedCategoriesNumber': '3',
            'preselectedBrandsNumber': '0',
            'page': page,
            'count': '200'}

    products = requests.get(url, headers=headers, params=payload).json()['products']
    jsonData['products'] = jsonData['products'] + products
    print ('Processed page: %s' %page)

df = json_normalize(jsonData['products'])

您可以按照自己喜欢的方式操作表格，或者直接使用 json 文件。不过，我只是将其转换为表格。

输出:

print (df[['title', 'price']])
                                                 title   price
0    Bauer Supreme 1S Griptac Senior Hockey Stick -...  339.99
1       Warrior Covert QRL SE Grip Senior Hockey Stick  329.99
2    Bauer Vapor X600 Lite Griptac Senior Hockey Stick   69.99
3                                           Gift Cards     NaN
4    Bauer Supreme 1S Clear Senior Hockey Stick - G...  339.99
5      Bauer Vapor 1X Lite Griptac Senior Hockey Stick  339.99
6    Bauer NEXUS 1N Griptac Gen II Senior Hockey Stick  254.97
7                                           Flash Sale     NaN
8                           Sher-Wood Project 9 Sticks     NaN
9    Bauer Supreme 2S Team Griptac Senior Hockey Stick  159.99
10   Bauer Supreme S160 Griptac Junior Hockey Stick...   44.97
11              Bauer Nexus 2N Pro Senior Hockey Stick  319.99
12     Warrior Alpha QX Grip Intermediate Hockey Stick  184.88
13               TRUE XC5 ACF Grip Junior Hockey Stick   79.99
14     Warrior Covert QRE ST2 Grip Senior Hockey Stick   89.99
15                             Mother's Day Gift Guide     NaN
16   Bauer Supreme S190 Griptac Senior Hockey Stick...  156.97
17   Bauer Vapor X700 Lite Griptac Senior Hockey Stick  119.99
18    Bauer Supreme 2S Pro Griptac Senior Hockey Stick  319.99
19              Bauer Nexus 2N Pro Junior Hockey Stick  199.99
20   Bauer Vapor 1X Lite Griptac Intermediate Hocke...  319.99
21   Bauer Supreme 1S Griptac Intermediate Hockey S...  223.97
22        Bauer Nexus 2N Pro Intermediate Hockey Stick  299.99
23            TRUE XC9 ACF Grip Junior 30 Hockey Stick  119.99
24                  TRUE XC9 ACF Youth 20 Hockey Stick   99.99
25                  Bauer Nexus 2N Senior Hockey Stick  224.99
26        Bauer Supreme 1S Youth Hockey Stick - Gen II   69.97
27        TRUE XC9 ACF Grip Gen II Senior Hockey Stick  319.99
28    Bauer Supreme 2S Pro Griptac Junior Hockey Stick  199.99
29   Bauer NEXUS N7000 Griptac Gen II Intermediate ...   89.97
..                                                 ...     ...
408        Warrior Covert QRL Grip Senior Hockey Stick  159.97
409  Bauer Vapor X800 Griptac Gen II Senior Hockey ...  109.97
410  Graf G95 Revolt Grip Senior Hockey Stick - GP0...  109.88
411            CCM Ribcor 47K Grip Senior Hockey Stick   79.97
412         Sher-Wood BPM 060 Grip Senior Hockey Stick   51.97
413        CCM RBZ Revolution Grip Senior Hockey Stick  149.88
414  CCM Premier R1.5 Senior Goalie Stick - Crawfor...   89.97
415       Bauer Vapor 1X Senior Goalie Stick - P31 25"  289.99
416     Sher-Wood GS350 Senior Goalie Stick 24" - PP41   96.97
417     Sher-Wood GS350 Senior Goalie Stick - PP41 27"   96.97
418     Bauer Vapor X900 Senior Goalie Stick - P31 26"  199.99
419          Sher-Wood GS150 Senior Goalie Stick - 24"   74.97
420          Sher-Wood GS150 Senior Goalie Stick - 25"   74.97
421           CCM 1060 Senior Goalie Stick - Price 27"   89.88
422          Sher-Wood GS150 Senior Goalie Stick - 26"   74.97
423          Sher-Wood GS150 Senior Goalie Stick - 27"   74.97
424  CCM Premier R1.9 Senior Goalie Stick - Crawfor...  119.97
425   Sher-Wood BPM 090 Grip Intermediate Hockey Stick   81.97
426  Warrior Covert QRL5 Grip Intermediate Hockey S...   63.97
427  Warrior Covert DT1 LT Grip Intermediate Hockey...  111.88
428  Warrior Covert Super Dolomite Grip Intermediat...  189.88
429  Warrior Dynasty HD1 Intermediate Stick - Grip ...  123.88
430  Easton Stealth CX Grip Intermediate Hockey Sti...  159.88
431  Easton Synergy 20 Intermediate Stick - Grip - ...   34.88
432  Sherwood T120 Intermediate Grip Hockey Stick -...   99.97
433  GRAF G75 Intermediate 70 Flex Hockey Stick - GP22   99.88
434  Bauer Vapor X700 Griptac Gen II Intermediate H...   79.97
435  Easton Synergy HTX Intermediate Stick - Grip -...  115.88
436  Sherwood T120 Intermediate Grip Hockey Stick -...   99.97
437   Sher-Wood BPM 060 Grip Intermediate Hockey Stick   51.97

[438 rows x 2 columns]