from selenium import webdriver from selenium.webdriver.firefox.options import Options import datetime import openpyxl import re import time import os def get_connect(): firefox_options = Options() # 设置无头 firefox_options.headless = True browser = webdriver.Firefox(firefox_options=firefox_options) browser.get("https://www.dongchedi.com/auto/library/x-x-x-x-x-x-x-x-x-x-x") browser.implicitly_wait(5) return browser def parse_car_data(): browser = get_connect() # 汽车数据存储 car_data = [] # 品牌id car_brand_id = 1 # 车系id car_bank_id = 1 # 解析第一个ul里的li A B C... 并除去 不限和热门两个 lis = browser.find_elements_by_xpath("//div[@class='wrap tw-bg-white']//" "div[@class='jsx-1042301898 item-wrap']//" "div[@class='jsx-1042301898 item-list']//" "ul[@class='jsx-975855502 tw-flex md:tw-flex-none']//" "li")[2:] # 获取汽车类型 轿车 SUV MPV car_type_spans = browser.find_elements_by_xpath("//div[@class='wrap tw-bg-white']//" "section//" "div[@class='jsx-964070570 tw-flex']//" "ul[@class='jsx-964070570 tw-flex-1']//" "li//" "a[@class='jsx-964070570']//" "span[@class='jsx-964070570 series-type_car-name__3pZLx']") index = 1 for li in lis: li.click() # 获取 A B C...下的所有品牌 brand_lis = browser.find_elements_by_xpath("//div[@class='wrap tw-bg-white']//" "div[@class='jsx-1042301898 item-wrap']//" "div[@class='jsx-1042301898 item-list']//" "div[@class='jsx-1207899626 more-list-wrap']//" "ul[" + str(index) + "]//li") index += 1 for brand_li in brand_lis: brand_li.click() brand_name = brand_li.text print("{}品牌数据开始爬取---------->".format(brand_name)) for car_type_span in car_type_spans: car_type_span.click() # 解决加载不全 1 拖动滚动条 2 窗口放大 browser.set_window_size(1000, 30000) time.sleep(3) car_type = car_type_span.text # 获取车系数据 car_bank_lis = browser.find_elements_by_xpath("//div[@class='wrap tw-bg-white']//" "section//" "div[@class='jsx-3448462877 list-wrap']//" "ul[@class='jsx-3448462877 list tw-grid tw-grid-cols-12 tw-gap-x-12 tw-gap-y-16']//" "li") car_bank_lis_len = len(car_bank_lis) if car_bank_lis_len == 0: continue else: for car_bank_li in range(1, car_bank_lis_len + 1): print("第{}个车系数据开始爬取---------->".format(car_bank_id)) bank_name = browser.find_element_by_xpath("//div[@class='wrap tw-bg-white']//" "section//" "div[@class='jsx-3448462877 list-wrap']//" "ul[@class='jsx-3448462877 list tw-grid tw-grid-cols-12 tw-gap-x-12 tw-gap-y-16']//" "li[" + str(car_bank_li) + "]//" "a[@class='jsx-2744368201 item-link']//" "p[@class='jsx-2744368201 car-name']").text car_price = browser.find_element_by_xpath("//div[@class='wrap tw-bg-white']//" "section//" "div[@class='jsx-3448462877 list-wrap']//" "ul[@class='jsx-3448462877 list tw-grid tw-grid-cols-12 tw-gap-x-12 tw-gap-y-16']//" "li[" + str(car_bank_li) + "]//" "a[@class='jsx-2744368201 item-link']//" "p[@class='jsx-2744368201 price']").text car_image_src = browser.find_element_by_xpath("//div[@class='wrap tw-bg-white']//" "section//" "div[@class='jsx-3448462877 list-wrap']//" "ul[@class='jsx-3448462877 list tw-grid tw-grid-cols-12 tw-gap-x-12 tw-gap-y-16']//" "li[" + str(car_bank_li) + "]//" "div[@class='jsx-2682525847 button-wrap tw-grid tw-grid-cols-12 tw-gap-x-3']//" "a[2]").get_attribute("href") car_data.append([car_brand_id, car_bank_id, brand_name, bank_name, car_type, car_price, car_image_src,get_time()]) car_bank_id += 1 print("{}品牌数据爬取结束---------->".format(brand_name)) car_brand_id += 1 print("数据开始保存---------->") save_car_data(car_data) print("数据保存成功---------->") def format_car_data(data): new_data = data.replace(" ", "") return re.sub(u"\\(.*?\\)|\\{.*?}|\\[.*?]", "", new_data) def save_car_data(car_data): path = "../dataset/" + get_time() + "_car_data.xlsx" if os.path.exists(path) is False: wk = openpyxl.Workbook() sheet = wk.active header ='品牌id', '车系id', '品牌', '车系', '类型', '价格', '图片链接', '截止时间' sheet.append(header) wk.save(path) if len(car_data) != 0: wk = openpyxl.load_workbook(path) sheet = wk.active for item in car_data: sheet.append(item) wk.save(path) def get_time(): return datetime.datetime.now().strftime("%Y_%m_%d") def start(): parse_car_data() if __name__ == '__main__': start()
