python flask:写一个selenium爬虫项目来爬取淘宝url = 'https://uland.taobao.com/sem/tbsearch?keyword=%s&pnum=%d'的商品数据,根据定义的关键字1(keyword)、关键字2(keyword_sec)和爬取的页数(total_pages)来进行爬取,def goods(html):通过CSS爬取网页的标题、价格、原价、店铺名、月销量并转为yield[title, discount_price, original_price, shop, monthly_sales],然后items=def goods(html):将标题、价格、原价、店铺名、月销量、关键字1(keyword)、关键字2(keyword_sec)存入goods_list[]里, for item in items: goods_list.append(),写出完整代码
时间: 2024-02-13 19:03:34 浏览: 32
好的,以下是基于 Flask 和 Selenium 的淘宝商品爬虫的代码:
```
from flask import Flask, jsonify
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
app = Flask(__name__)
def goods(html):
items = html.find_elements_by_css_selector('.item.J_MouserOnverReq')
for item in items:
title = item.find_element_by_css_selector('.title>a').text
discount_price = item.find_element_by_css_selector('.price>.strong').text
original_price = item.find_element_by_css_selector('.price>.price-m').text
shop = item.find_element_by_css_selector('.shop>span>a').text
monthly_sales = item.find_element_by_css_selector('.deal-cnt').text
yield [title, discount_price, original_price, shop, monthly_sales]
@app.route('/taobao/<keyword>/<keyword_sec>/<int:total_pages>')
def get_goods(keyword, keyword_sec, total_pages):
goods_list = []
options = Options()
options.headless = True
driver = webdriver.Chrome(options=options)
wait = WebDriverWait(driver, 10)
for i in range(1, total_pages+1):
url = f'https://uland.taobao.com/sem/tbsearch?keyword={keyword}+{keyword_sec}&pnum={i}'
driver.get(url)
wait.until(EC.presence_of_element_located((By.CSS_SELECTOR, '.item.J_MouserOnverReq')))
for goods_info in goods(driver):
goods_info.extend([keyword, keyword_sec])
goods_list.append(goods_info)
driver.quit()
return jsonify(goods_list)
if __name__ == '__main__':
app.run(debug=True)
```
在这个代码中,我们定义了一个 Flask 应用,通过 `/taobao/<keyword>/<keyword_sec>/<int:total_pages>` 路由来获取淘宝商品信息。我们使用了 Selenium 来模拟浏览器行为,用 CSS 选择器来定位页面元素,提取出商品的标题、价格、原价、店铺名、月销量,并将这些信息存储到 `goods_list` 中。最后我们使用 `jsonify()` 函数将结果以 JSON 格式返回给客户端。