python网络爬虫京东
时间: 2023-09-24 13:07:29 浏览: 49
以下是一个简单的Python爬虫程序,用于爬取京东上的商品信息:
```python
import requests
from bs4 import BeautifulSoup
url = 'https://search.jd.com/Search?keyword=python&page={}'
for page in range(1, 3): # 爬取前两页的数据
page_url = url.format(page)
response = requests.get(page_url)
soup = BeautifulSoup(response.text, 'html.parser')
items = soup.select('li.gl-item')
for item in items:
name = item.select_one('.p-name em').text.strip()
price = item.select_one('.p-price i').text
print(name, price)
```
这个程序会爬取京东上搜索关键字为“python”的商品信息,并输出商品名称和价格,你可以根据自己的需求进行修改。需要注意的是,爬取网站信息需要遵守相关法律法规,不要进行非法爬取。
相关问题
python爬虫京东
可以使用Python编写爬虫程序来爬取京东的商品数据。使用Scrapy框架可以简化开发过程。您可以参考一篇名为《Python爬虫:基于Scrapy爬取京东商品数据并保存到mysql且下载图片》的教程来了解如何实现该功能。该教程提供了项目准备、网页及代码分析以及完整代码的详细说明。您可以在GitHub上找到该教程的源码,地址为https://github.com/2335119327/PythonSpider。
#### 引用[.reference_title]
- *1* [Python爬虫—爬取京东商品信息(自动登录,换关键词,换页)](https://blog.csdn.net/qq_45657504/article/details/117385625)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
- *2* *3* [Python爬虫实战:2020最新京东商品数据爬虫保姆式教程(小白也能懂)!](https://blog.csdn.net/llllllkkkkkooooo/article/details/107291078)[target="_blank" data-report-click={"spm":"1018.2226.3001.9630","extra":{"utm_source":"vip_chatgpt_common_search_pc_result","utm_medium":"distribute.pc_search_result.none-task-cask-2~all~insert_cask~default-1-null.142^v92^chatsearchT3_1"}}] [.reference_item style="max-width: 50%"]
[ .reference_list ]
用python爬虫京东
以下是使用Python爬虫京东的步骤:
1. 导入所需的库和模块:
```python
import scrapy
from scrapy import Request
```
2. 创建一个Spider类,并继承scrapy.Spider:
```python
class JDSpider(scrapy.Spider):
name = 'jd_spider'
allowed_domains = ['jd.com']
start_urls = ['https://www.jd.com/']
def parse(self, response):
# 在这里编写解析网页的代码
pass
```
3. 在parse方法中编写解析网页的代码,提取所需的数据:
```python
def parse(self, response):
# 提取商品链接
product_links = response.css('.gl-item .p-img a::attr(href)').extract()
for link in product_links:
yield Request(link, callback=self.parse_product)
def parse_product(self, response):
# 提取商品信息
title = response.css('.sku-name::text').extract_first().strip()
price = response.css('.p-price .price::text').extract_first().strip()
image_url = response.css('#spec-img::attr(src)').extract_first()
# 在这里可以将数据保存到数据库或下载图片等操作
pass
```
4. 在settings.py文件中配置数据库连接信息:
```python
MYSQL_HOST = 'localhost'
MYSQL_PORT = 3306
MYSQL_DATABASE = 'jd_data'
MYSQL_USER = 'root'
MYSQL_PASSWORD = 'password'
```
5. 在pipelines.py文件中编写保存数据到数据库的代码:
```python
import pymysql
class JDPipeline(object):
def __init__(self, host, port, database, user, password):
self.host = host
self.port = port
self.database = database
self.user = user
self.password = password
@classmethod
def from_crawler(cls, crawler):
return cls(
host=crawler.settings.get('MYSQL_HOST'),
port=crawler.settings.get('MYSQL_PORT'),
database=crawler.settings.get('MYSQL_DATABASE'),
user=crawler.settings.get('MYSQL_USER'),
password=crawler.settings.get('MYSQL_PASSWORD')
)
def open_spider(self, spider):
self.conn = pymysql.connect(
host=self.host,
port=self.port,
database=self.database,
user=self.user,
password=self.password,
charset='utf8'
)
self.cursor = self.conn.cursor()
def close_spider(self, spider):
self.conn.close()
def process_item(self, item, spider):
# 将数据保存到数据库
sql = "INSERT INTO jd_products (title, price) VALUES (%s, %s)"
self.cursor.execute(sql, (item['title'], item['price']))
self.conn.commit()
return item
```
6. 运行爬虫:
```shell
scrapy crawl jd_spider
```