import requests
from bs4 import BeautifulSoup
import pandas as pd
import json

url = "https://www.englishclub.com/ref/Collocations/"

mylist = [
        "A",
        "B",
        "C",
        "D",
        "E",
        "F",
        "G",
        "H",
        "I",
        "J",
        "K",
        "L",
        "M",
        "N",
        "O",
        "P",
        "Q",
        "R",
        "S",
        "T",
        "U",
        "V",
        "W"
]

#you can use dictionary instead list. suits your needs better
list = {}

#just for quick testing, i set range to 4
for i in range(4):
    list[mylist[i]] = [] #make an empty list for your collocations

    result = requests.get(url+mylist[i]+"/")
    doc = BeautifulSoup(result.text, "html.parser")
    collocations = doc.find_all(class_="linklisting")

    for tag in collocations:
            
            case = {
                    "collocation": tag.a.string.replace("\n",""),#replace \n indentations
                    "meaning": tag.div.string
            }
            list[mylist[i]].append(case)#add collocation to related list

with open('data.json', 'w', encoding='utf-8') as f:

    json.dump(list, f, ensure_ascii=False, indent=4)

我已经为修改的部分写了一个注解。我们为字典中的每个字母创建了一个数组。所以在将来的使用中，你可以只使用键来获得它们，而不用担心索引
然而这是输出

{
    "A": [
        {
            "collocation": "above average",
            "meaning": "more than average, esp. in amount, age, height, weight etc. "
        },
        {
            "collocation": "absolutely necessary",
            "meaning": "totally or completely necessary"
        }
    ],
    "B": [
        {
            "collocation": "back pay",
            "meaning": "money a worker earned in the past but hasn't been paid yet  "
        },
        {
            "collocation": "back road",
            "meaning": "a small country road "
        },
        {
            "collocation": "back street",
            "meaning": "a street in a town or city that's away from major roads or central areas"
        }
    ],
    "C": [
        {
            "collocation": "call a meeting",
            "meaning": "to order or invite people to hold a meeting"
        },
        {
            "collocation": "call a name",
            "meaning": "to say somebody's name loudly"
        },
        {
            "collocation": "call a strike",
            "meaning": "to decide that workers will protest by not going to work "
        }
    ],
    "D": [
        {
            "collocation": "daily life",
            "meaning": "life as experienced from day to day"
        },
        {
            "collocation": "dead ahead",
            "meaning": "straight ahead"
        },
        {
            "collocation": "dead body",
            "meaning": "corpse, or the body of someone who's died"
        }
    ]
}

在循环中，定义doc后，尝试执行以下操作：

for col in doc.select('div.linklisting'):
    print(print(col.select_one('h3 a').text.strip(), "--", col.select_one('div.linkdescription').text))

例如，对于字母B，它应该输出：

back pay -- money a worker earned in the past but hasn't been paid yet  
back road -- a small country road 
back street -- a street in a town or city that's away from major roads or central areas

您可以将输出元素分配给CSV、 Dataframe 或其他任何类型。