Python爬虫——爬取阳光高考网高校信息

    import requests
    import time
    import json
    from bs4 import BeautifulSoup
    
    
    def get_one_page():
    headers = {
        'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_13_3) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/65.0.3325.162 Safari/537.36'
    }
    num1=0
    num2=0
    num3=0
    for n in range(0, 8):
        offset = n 
        url = 'https://gaokao.chsi.com.cn/sch/search.do?searchType=1&ssdm=44&start=0' + str(offset)
    
        response = requests.get(url, headers=headers)
    
        soup = BeautifulSoup(response.text, "html5lib")
        hello = soup.find_all('td', class_="js-yxk-yxmc")
    
        for i in range(len(hello)):
            one=hello[i].a.text.strip()
            two=hello[i].a['href']
            wez="https://gaokao.chsi.com.cn"+two
            print(one)
            r = requests.get(wez, headers=headers)
            soup = BeautifulSoup(r.text, "lxml")
            nihao = soup.find_all('table', class_="zy-lsit")[0]
            print("专业满意度top10：")
            name = nihao.find_all('div', class_="overf")
            number = nihao.find_all('span', class_="avg_rank")
            data1 = []
            data2 = []
            data3 = []
            school_data1 = []
            for j in range(len(name)):
                school=one
                three = name[j].text.strip()
                four = number[j].text.strip()
                num1+=1
                data1.append([school,three,four,num1])
    
            for each in data1:
                school_data1.append({
                    "id": each[0],
                    "type": each[1],
                    "score": each[2],
                    "num": each[3]
                })
            with open('type1.json', 'a', encoding='utf-8') as f:
                f.write(json.dumps(school_data1, indent=2, ensure_ascii=False))
    
    
            print("专业推荐指数top10：")
            nihao2 = soup.find_all('table', class_="zy-lsit")[1]
            name2 = nihao2.find_all('div', class_="overf")
            number2 = nihao2.find_all('span', class_="avg_rank")
            for j in range(len(name2)):
                school = one
                five = name2[j].text.strip()
                six = number2[j].text.strip()
                num2 += 1
                data2.append([school, five, six, num2])
                print(school,five, six, num2)
            school_data2=[]
            for each in data2:
                school_data2.append({
                    "id":each[0],
                    "type":each[1],
                    "score":each[2],
                    "num":each[3]
                })
            with open('type2.json', 'a', encoding='utf-8') as f:
                f.write(json.dumps(school_data2, indent=2, ensure_ascii=False))
    
    
            print("专业推荐人数top10：")
            nihao3 = soup.find_all('table', class_="zy-lsit")[2]
            name3 = nihao3.find_all('div', class_="overf")
            number3 = nihao3.find_all('span', class_="vote_num_detail")
            for j in range(len(name3)):
                school = one
                seven = name3[j].text.strip()
                eight = number3[j].text.strip()
                num3 += 1
                data3.append([school, seven, eight, num3])
                print(school,seven, eight, num3)
            school_data3 = []
            for each in data3:
                school_data3.append({
                    "id": each[0],
                    "type": each[1],
                    "score": each[2],
                    "num": each[3]
                })
            with open('type3.json', 'a', encoding='utf-8') as f:
                f.write(json.dumps(school_data3, indent=2, ensure_ascii=False))
            print("\n")
    time.sleep(1)
    
    
    if __name__ == '__main__':
       get_one_page()