Python中的黄页刮刀不工作

我正试图从黄页上搜集数据。我用过很多次这个刮刀，但最近已经停了

得到了这个错误

“非类型”对象没有找到属性“组”0结果

有人能帮我解决这个问题吗

我在这件事上哪里做错了

import requests
import requests_random_user_agent
import urllib.parse
from bs4 import BeautifulSoup
import re
from math import ceil
import csv
import os
import sys
import subprocess
from os import system, name
import time
from tqdm import tqdm



class Scraper:
    def __init__(self,keyword,location):
        self.keyword=keyword
        self.location=location
        self.params = urllib.parse.urlencode({"search_terms": self.keyword, "geo_location_terms": self.location})

    def get_info(self, link):

        try:
            r = requests.get(link)
            html = BeautifulSoup(r.content, "html.parser")
        except:
            return False
        
        try:
            name = html.find('h1').text
        except:
            name = None
            
        try:
            phone = html.find(class_='phone').text
        except:
            phone = None
            
        
        try:

            website = html.find('a',class_='primary-btn website-link')["href"]

            if len(website.split("?")) > 1:
                website = website.split("?")[0]

        except:
            website = None
            

        try:
            email = html.find('a', class_='email-business')["href"].split(":")[1]
        except:
            email=None
        
        try:
            address = html.find('h2',class_='address').text
        except:
            address=None

        return {"name": name, "email": email, "phone": phone, "address": address, "website":website}
    
    def get_num_pages(self):

        try:
            url = f"https://www.yellowpages.com/search?{self.params}"

            response = requests.get(url)

            html = BeautifulSoup(response.content, "html.parser")
            pagination = html.find(class_="pagination")
            
            if not pagination:
                pagination = 1
                links = html.select("a[class='business-name']")

                num_results = 0
            
                for l in links:
                    try:
                        l["data-analytics"]
                        num_results += 1
                    except:
                        continue

                return num_results, pagination
            
            
            num_results = int(re.search('We found(.*?)results',pagination.text).group(1))


            return num_results, int(ceil(int(num_results) / 30))
            
        except Exception as e:
            print(e)
            return False, False

    def get_links(self, page):
        
        try:
            url = f"https://www.yellowpages.com/search?{self.params}&page={page}"

            response = requests.request("GET", url, timeout=10)
            html = BeautifulSoup(response.content, "html.parser")
            links = html.select("a[class='business-name']")

            links_filtered=[]
            
            for l in links:
                try:
                    l["data-analytics"]
                    links_filtered.append(l)
                except:
                    continue

            links_list = []

            for link in links_filtered:
                links_list.append(f"https://www.yellowpages.com{link['href']}")
            

            return links_list
        except Exception as e:
            print(e)
            return []

def open_file(filename):

    try:
        if sys.platform == "win32":
            os.startfile(filename)
        else:
            opener = "open" if sys.platform == "darwin" else "xdg-open"
            subprocess.call([opener, filename])
    except:
        return False

def create_csv(elements):


    row_list = [["Name", "Address", "Phone", "Email", "Website"]]

    for e in elements:
        
        name = e["name"]
        address = e["address"]
        phone = e["phone"]
        email = e["email"]
        website = e["website"]

        row_list.append([name, address, phone, email, website])

    with open('output.csv', 'w', newline='', encoding='utf8') as file:
        writer = csv.writer(file)
        writer.writerows(row_list)

    


def clear():

    # for windows
    if name == 'nt':
        _ = system('cls')

    # for mac and linux(here, os.name is 'posix')
    else:
        _ = system('clear')


def main():

    clear()

    try:

        while True:
            keyword = input("Keyword: ")
            
            if keyword != "":
                break


        while True:
            city = input("City: ")
            if city != "":
                break

        clear()


        scraper = Scraper(keyword, city)

        results, num_pages = scraper.get_num_pages()

        if not results:
            print("0 results found")
            return False

        print(f"{results} results found {keyword} - {city}")

        data = []

        pages = tqdm(range(1, num_pages + 1))

        for page in pages:
            clear()
            try:
                pages.set_description(f"Scraping page {page}/{num_pages}...")


                links = scraper.get_links(page)

                if not (len(links) > 0):
                    continue

                links = tqdm(links)

                for link in links:
                    try:
                        links.set_description(f"Scraping {link}")

                        info = scraper.get_info(link)
                        # print(info)
                        data.append(info)

                        create_csv(data)

                    except:
                        continue

            except:
                continue
        
        

        print("Opening file...")

        open_file("output.csv")

        print("Task finished")

    except:
        return False

if __name__ == "__main__":
    main()

它在线路上失败了

num_results = int(re.search('We found(.*?)results',pagination.text).group(1))

打开浏览器，对搜索结果页面进行一次非常简单的检查，就会发现页面上没有文本“We found x results”。因此，

re.search

返回

None

，即使有许多结果

调整脚本，使其在没有

num_pages

的情况下工作，并且仅通过底部的页面链接或通过增加URL中的

page=

参数进行分页，直到不再列出更多的结果/页面

仅供参考，下一次，投入一些最小的调试工作，而不是发布整个脚本