Selenium实战：爬取淘宝页面数据

版权声明：来自 https://blog.csdn.net/Leesoar521yt/article/details/81461939

淘宝页面数据使用Ajax获取，所以最方便的方式还是采用Selenium抓取，最后将商品数据保存为json格式文件。

工具：ChromeDriver与Selenium

from selenium import webdriver
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from bs4 import BeautifulSoup
from json import dumps


browser = webdriver.Chrome()
wait = WebDriverWait(browser, 10)
KEYWORD = 'iPad'

def index_page(page):
    """
    抓取当前页面
    """
    print("正在爬取第", page, "页")
    try:
        url = 'https://s.taobao.com/search?q={}'.format(KEYWORD)
        browser.get(url)
        if page > 1:
            input = wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '#mainsrp-pager div.form > input')))
            submit = wait.until(EC.element_to_be_clickable((By.CSS_SELECTOR, '#mainsrp-pager div.form > span.btn.J_Submit')))
            input.clear()
            input.send_keys(page)
            submit.click()
        wait.until(EC.text_to_be_present_in_element((By.CSS_SELECTOR, '#mainsrp-pager li.item.active > span'), str(page)))
        wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '.m-itemlist .items .item')))
        get_products()
    except TimeoutException:
        index_page(page)


def get_products():
    """
    美味汤提取宝贝信息
    """
    html = browser.page_source
    soup = BeautifulSoup(html, 'html.parser')
    html_list = soup.find('div', {'class': 'm-itemlist'}).find_all('div', {'data-category': 'auctions'})
    product_list = []
    for sub in html_list:
        product = {
            '图片': sub.find('div', {'class': 'pic'}).img['src'],
            '价格': sub.find('div', {'class': 'price g_price g_price-highlight'}).get_text().strip(),
            '付款人数': sub.find('div', {'class': 'deal-cnt'}).get_text(),
            '标题': sub.find('div', {'class': 'row row-2 title'}).get_text().strip(),
            '商铺': sub.find('div', {'class': 'shop'}).get_text().strip(),
            '位置': sub.find('div', {'class': 'location'}).get_text()
        }
        product_list.append(product)
    with open('./taobao.json', 'a', encoding='UTF-8') as f:
        f.write(dumps(product_list, indent=2, ensure_ascii=False))
    print('Finished.')

for page in range(1, 101):
    index_page(page)

无图无真相，结果如下：