python马蜂窝网站的爬取和简单分析。

完整代码https://github.com/wkd-lidashuang/py-/tree/master/mafengwo

1. 获得热门省编号和直辖市编号
   蚂蜂窝中的所有城市、景点以及其他都有一个专属的5位数字编号，我们第一步要做的就是获取城市（直辖市+地级市）的编号，进行后续的进一步分析

先获得热门目的地，提取直辖市和省编码

def find_province_url(url):
    html = get_html_text(url)
    soup = BeautifulSoup(html, 'lxml')
    municipality_directly_info(soup)  # 处理直辖市信息
    dts = soup.find('div', class_='hot-list clearfix').find_all('dt')
    name = []
    provice_id = []
    urls = []
    print('正在处理非直辖市信息')
    for dt in dts:
        all_a = dt.find_all('a')
        for a in all_a:
            name.append(a.text)
            link = a.attrs['href']
            provice_id.append(re.search(r'/(\d.*).html', link).group(1))  # 得到这个省的编码
            # 得到这个省的热门城市链接
            data_cy_p = link.replace('travel-scenic-spot/mafengwo', 'mdd/citylist')
            urls.append(parse.urljoin(url, data_cy_p))
    return name, provice_id, urls

由省编号得到热门城市编号，去过人数，

def parse_city_info(response):
    text = response.json()['list']
    soup = BeautifulSoup(text, 'lxml')
    items = soup.find_all('li', class_="item")
    info = []
    nums = 0
    for item in items:
        city = {}
        city['city_id'] = item.find('a').attrs['data-id']
        city['city_name'] = item.find('div', class_='title').text.split()[0]
        city['nums'] = int(item.find('b').text)
        nums += city['nums']
        info.append(city)
    return info, nums

def func(page, provice_id):
    print(f'解析{page}页信息')
    data = {'mddid': provice_id, 'page': page}
    response = requests.post('http://www.mafengwo.cn/mdd/base/list/pagedata_citylist', data=data)
    info, nums = parse_city_info(response)  # 得到每个景点城市的具体名字, 链接, 多人少去过
    return (info, nums)


def parse_city_url(html, provice_id):
    provice_info = {}
    soup = BeautifulSoup(html, 'lxml')
    pages = int(soup.find(class_="pg-last _j_pageitem").attrs['data-page'])  # 这个省总共有多少页热门城市
    city_info = []
    sum_nums = 0  # 用来记录这个省的总流量
    tpool = ThreadPoolExecutor(20)
    obj = []
    for page in range(1, pages + 1):  # 解析页面发现是个post请求
        t = tpool.submit(func, page, provice_id)
        obj.append(t)
    tpool.shutdown()
    for i in obj:
        info, nums = i.result()
        sum_nums += nums
        city_info.extend(info)
    provice_info['sum_num'] = sum_nums
    provice_info['citys'] = city_info
    return provice_info

2. 城市编号得到每个获得城市信息（饮食，景点）

    def get_city_food(self, id_):
        url = 'http://www.mafengwo.cn/cy/' + id_ + '/gonglve.html'
        print(f'正在解析{url}')
        soup = self.get_html_soup(url)
        list_rank = soup.find('ol', class_='list-rank')
        food = [k.text for k in list_rank.find_all('h3')]
        food_count = [int(k.text) for k in list_rank.find_all('span', class_='trend')]
        food_info = []
        for i, j in zip(food, food_count):
            fd = {}
            fd['food_name'] = i
            fd['food_count'] = j
            food_info.append(fd)
        return food_info

    def get_city_jd(self, id_):
        """
        :param id_:城市编码id
        :return: 景点名称和评论数量
        """
        url = 'http://www.mafengwo.cn/jd/' + id_ + '/gonglve.html'
        print(f'正在解析{url}')
        soup = self.get_html_soup(url)
        jd_info = []
        try:
            all_h3 = soup.find('div', class_='row-top5').find_all('h3')
        except:
            print('没有景点')
            jd = {}
            jd['jd_name'] = ''
            jd['jd_count'] = 0
            jd_info.append(jd)
            return jd_info
        for h3 in all_h3:
            jd = {}
            jd['jd_name'] = h3.find('a')['title']
            try:
                jd['jd_count'] = int(h3.find('em').text)
            except:
                print('没有评论')
                jd['jd_count'] = 0
            jd_info.append(jd)
        return jd_info

3. 数据分析