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5k Run

Overall Finish List

September 24, 2022

1st Alarm 5k
Place	Name	City	Bib No	Age	Gender	Age Group	Total Time	Pace
1	Runner 1	ANYTOWN PA	390	52	M	1:Overall	18:43.93	6:03/M
2	Runner 2	ANYTOWN PA	380	33	M	1:19-39	19:31.27	6:18/M
3	Runner 3	ANYTOWN PA	389	65	F	1:Overall	45:45.20	14:46/M
4	Runner 4	ANYTOWN PA	381	18	F	1: 1-18	53:28.84	17:15/M
5	Runner 5	ANYTOWN PA	382	41	F	1:40-59	53:30.48	17:16/M
6	Runner 6	ANYTOWN PA	384	14	M	1: 1-18	57:38.66	18:36/M
7	Runner 7	ANYTOWN PA	385	72	F	1:60-99	57:40.11	18:36/M

我尝试过添加 div，但没有取得太大成功。

P粉818306280

全部回复(1)

P粉4632912482024-02-27 00:58:21 1楼

BeautifulSoup 允许您搜索 div 以外的内容。

假设您显示的 html 想要检索看起来像跑步者的内容，您可以执行类似的操作。

from bs4 import BeautifulSoup

file_path = 'scrap.html'

with open(file_path, 'r',
          encoding='utf-8') as file:  # We simulate a return from an html request by just opening an .html file
    html_content = file.read()

soup = BeautifulSoup(html_content, 'html.parser')
table = soup.find('table', {"class": "racetable"})  # We are looking for the table with the 'racetable' class
rows_table = table.find_all('tr')[1:]  # All lines in the table without the first one

columns_name = [
    row.get_text() for row in rows_table[0].find_all('td')
]  # We get the name of each column in a list

runners = []
for row in rows_table[1:]:  # We repeat on all the lines except the first one which is the one with the name of the columns
    data = [
        elem.get_text().strip() for elem in row.find_all('td')
    ]
    runner = {
        "place": data[columns_name.index("Place")],
        "name": data[columns_name.index("Name")],
        "city": data[columns_name.index("City")],
        "bib_no": data[columns_name.index("Bib No")],
        "age": data[columns_name.index("Age")],
        "gender": data[columns_name.index("Gender")],
        "age_group": data[columns_name.index("Age Group")],
        "total_time": data[columns_name.index("Total Time")],
        "pace": data[columns_name.index("Pace")]
    }
    print(runner)
    runners.append(runner)

打印的结果看起来像这样

{'place': '1', 'name': 'Runner 1', 'city': 'ANYTOWN  PA', 'bib_no': '390', 'age': '52', 'gender': 'M', 'age_group': '1:Overall', 'total_time': '18:43.93', 'pace': '6:03/M'}
{'place': '2', 'name': 'Runner 2', 'city': 'ANYTOWN  PA', 'bib_no': '380', 'age': '33', 'gender': 'M', 'age_group': '1:19-39', 'total_time': '19:31.27', 'pace': '6:18/M'}
{'place': '3', 'name': 'Runner 3', 'city': 'ANYTOWN  PA', 'bib_no': '389', 'age': '65', 'gender': 'F', 'age_group': '1:Overall', 'total_time': '45:45.20', 'pace': '14:46/M'}
{'place': '4', 'name': 'Runner 4', 'city': 'ANYTOWN  PA', 'bib_no': '381', 'age': '18', 'gender': 'F', 'age_group': '1: 1-18', 'total_time': '53:28.84', 'pace': '17:15/M'}
{'place': '5', 'name': 'Runner 5', 'city': 'ANYTOWN  PA', 'bib_no': '382', 'age': '41', 'gender': 'F', 'age_group': '1:40-59', 'total_time': '53:30.48', 'pace': '17:16/M'}
{'place': '6', 'name': 'Runner 6', 'city': 'ANYTOWN  PA', 'bib_no': '384', 'age': '14', 'gender': 'M', 'age_group': '1: 1-18', 'total_time': '57:38.66', 'pace': '18:36/M'}
{'place': '7', 'name': 'Runner 7', 'city': 'ANYTOWN  PA', 'bib_no': '385', 'age': '72', 'gender': 'F', 'age_group': '1:60-99', 'total_time': '57:40.11', 'pace': '18:36/M'}

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5k Run

Overall Finish List

September 24, 2022

1st Alarm 5k