听说 iPhone14 在 中国时间 9月8日发布, 让我们用p

前言

嗨喽，大家好呀~这里是爱看美女的茜茜呐

又到了学Python时刻~今天我们来采集一下评论数据！

WB态数据抓包+所有的数据提取方式+词云图可视化

开发环境:

• python 3.8: 解释器

• pycharm: 代码编辑器

• requests 第三方模块

采集评论代码

# 导入模块
import requests
import parsel
import re
import csv
import time

headers = {
    'cookie': 'XSRF-TOKEN=V48EJHd1wO3DP9ffnlwgfvQr; WBPSESS=yr8Ogb3qBlrorv2L6-ukSsE1SdVJvjLsi6ub0yOZpfazK2TqOMmvxlay7kNrt6LGuwSQINF-zpQWhR5GxHKCX1k4G2jaPAJoABJpxykZAJt4WAVgjdO_FFGWKvaHbvCJoOFzEoJ5rXkc31Ex4pDEylNKVb9H913jTpjFGBoBha4=; login_sid_t=8f13cfe80a400ba04cd5d9094175b145; cross_origin_proto=SSL; WBStorage=4d96c54e|undefined; _s_tentry=weibo.com; Apache=9429320084537.793.1662010843614; SINAGLOBAL=9429320084537.793.1662010843614; ULV=1662010843618:1:1:1:9429320084537.793.1662010843614:; wb_view_log=1920*10801; SSOLoginState=1662010869; SUB=_2A25OFDZPDeRhGeFI6lsT-CnPyDqIHXVtYCCHrDV8PUNbmtANLXDXkW9NfV7QbU7-nuy6Ejf4yBGzw8ymJY1CysT9; SUBP=0033WrSXqPxfM725Ws9jqgMF55529P9D9WWGGcL4DsCvRg-RQA6cXEKN5JpX5KzhUgL.FoMceK.E1hM0e0q2dJLoIp7LxKML1KBLBKnLxKqL1hnLBoMNSo24eonNe0ec; ALF=1693546910; wvr=6; wb_view_log_7619287336=1920*10801; webim_unReadCount=%7B%22time%22%3A1662011426887%2C%22dm_pub_total%22%3A0%2C%22chat_group_client%22%3A0%2C%22chat_group_notice%22%3A0%2C%22allcountNum%22%3A23%2C%22msgbox%22%3A0%7D; PC_TOKEN=b6ef7633b7',

    response = requests.get(url=url, headers=headers)
    html_data = response.json()['data']['html']
    selector = parsel.Selector(html_data)
    # .list_box > .list_ul > div .list_con .WB_text:nth-child(1)
    divs = selector.css('.list_box > .list_ul > div')
    try:
        sub_ = re.findall('action-data="(id=4808806519278561.*?)"', html_data)[0]
    except:
        sub_ = ''
    print(sub_)
    for div in divs[0: -1]:
        content = div.css('.list_con .WB_text:nth-child(1)::text').getall()[1].replace('：', '').replace(' ', '')
        imgUrl = div.css('.WB_face.W_fl img::attr(src)').get()
        user = div.css('.WB_text a:nth-child(1)::text').get()
        time_ = div.css('.WB_from.S_txt2::text').get()
        print(user, content, time_, imgUrl)
        csv_writer.writerow([user, content, time_, imgUrl])
    if sub_ == '':
        return 0
    get_next(sub_)

get_next('id=4808806519278561&from=singleWeiBo&__rnd=1662011439459')

词云图代码

import jieba
import pandas as pd
import stylecloud

# 读取文件
df_wb = pd.read_csv('微博评论.csv')
def get_cut_words(content_series):
    # 读入停用词表
    stop_words = []

    with open("stop_words.txt", 'r', encoding='utf-8') as f:
        lines = f.readlines()
        for line in lines:
            stop_words.append(line.strip())

    # 添加关键词
    my_words = ['没有欲望', '便宜点']
    for i in my_words:
        jieba.add_word(i)
        # 自定义停用词
        my_stop_words = []
        stop_words.extend(my_stop_words)
    # 分词
    word_num = jieba.lcut(content_series.str.cat(sep='。'), cut_all=False)

    # 条件筛选
    word_num_selected = [i for i in word_num if i not in stop_words and len(i) >= 2]

    return word_num_selected

text = get_cut_words(content_series=df_wb['content'])

# 绘制词云图
stylecloud.gen_stylecloud(
    text=' '.join(text),
    collocations=False,
    font_path=r'C:\Windows\Fonts\msyh.ttc',
    icon_name='fab fa-apple',
    size = 768,
    output_name='iPhone.png',
)

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尾语 💝

感谢你观看我的文章呐~本次航班到这里就结束啦 🛬

希望本篇文章有对你带来帮助 🎉，有学习到一点知识~

躲起来的星星🍥也在努力发光，你也要努力加油（让我们一起努力叭）。

最后，博主要一下你们的三连呀（点赞、评论、收藏），不要钱的还是可以搞一搞的嘛~

不知道评论啥的，即使扣个6666也是对博主的鼓舞吖 💞 感谢 💐