爬虫美团外卖 店铺数据
时间: 2024-01-24 09:03:31 浏览: 383
基于python美团外卖的数据分析系统论文.docx
以下是使用网络爬虫采集美团外卖店铺数据的步骤:
1. 导入所需的库和模块:
```python
import requests
from bs4 import BeautifulSoup
```
2. 发送HTTP请求获取美团外卖的菜单页面:
```python
url = "https://www.meituan.com/waimai/"
response = requests.get(url)
```
3. 解析HTML页面:
```python
soup = BeautifulSoup(response.text, "html.parser")
```
4. 获取店铺的链接:
```python
shop_links = soup.find_all("a", class_="link")
```
5. 遍历店铺链接并获取店铺数据:
```python
for link in shop_links:
shop_url = link["href"]
shop_response = requests.get(shop_url)
shop_soup = BeautifulSoup(shop_response.text, "html.parser")
# 在这里提取店铺数据并进行处理
```
6. 在循环中提取店铺数据并进行处理,例如获取店铺名称、评分、地址等:
```python
shop_name = shop_soup.find("h1", class_="name").text
shop_rating = shop_soup.find("span", class_="rating").text
shop_address = shop_soup.find("div", class_="address").text
# 在这里可以将数据存储到本地文件或数据库中
```
7. 完整的代码示例:
```python
import requests
from bs4 import BeautifulSoup
url = "https://www.meituan.com/waimai/"
response = requests.get(url)
soup = BeautifulSoup(response.text, "html.parser")
shop_links = soup.find_all("a", class_="link")
for link in shop_links:
shop_url = link["href"]
shop_response = requests.get(shop_url)
shop_soup = BeautifulSoup(shop_response.text, "html.parser")
shop_name = shop_soup.find("h1", class_="name").text
shop_rating = shop_soup.find("span", class_="rating").text
shop_address = shop_soup.find("div", class_="address").text
# 在这里可以将数据存储到本地文件或数据库中
```
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