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Python版数据爬取、解析代码import re import os import sys import json import nltk import time import pickle import random import base64 import datetime import requests import openpyxl import readline import itertools import numpy as np import pandas as pd from PIL import Image from tqdm import tqdm, trange from bs4 import BeautifulSoup import matplotlib.pyplot as plt from collections import Counter from pypinyin import lazy_pinyin, Style from joblib import Parallel, delayed from sklearn.linear_model import LinearRegression import warnings warnings.filterwarnings('ignore') pd.set_option('display.width', 500) pd.set_option('display.max_rows', 200) pd.set_option('display.max_columns', 200) pd.set_option('display.max_colwidth', 1000) # 'sfzmsy' ,'sfzmsf' ,'sfdsxtysmyq' ,'sfrhdz' ,'sfxgrh' ,'sfzcgchfwq' # 算法怎么使用 # 算法怎么收费 # 算法对摄像头有什么要求 # 算法如何定制 # 算法效果如何 # 是否支持国产化部署 result = [] def parse_html_element( html_url ): sfmc, sfms, sffl, yycj, cjwt = '', '', '', '', '' datas = requests.request( 'GET', html_url ) if datas.status_code == 200: datas_html = BeautifulSoup(datas.text,