基于python+scrapy+redis+rule组件实现分布式爬虫爬取京东华为笔记本
时间: 2023-08-01 14:12:51 浏览: 299
好的,您的问题是关于如何基于Python、Scrapy、Redis和Rule组件实现分布式爬虫爬取京东华为笔记本的。首先,您需要安装Scrapy和Redis,并在Scrapy的配置文件中添加Redis相关的配置:
```python
# 在settings.py中添加以下配置
DUPEFILTER_CLASS = "scrapy_redis.dupefilter.RFPDupeFilter"
SCHEDULER = "scrapy_redis.scheduler.Scheduler"
SCHEDULER_PERSIST = True
REDIS_URL = 'redis://localhost:6379'
```
然后,您需要编写Spider和Item Pipeline,其中Spider负责解析并抓取网页,Item Pipeline负责处理抓取到的数据。下面是一个示例的Spider代码:
```python
from scrapy_redis.spiders import RedisSpider
from scrapy.selector import Selector
from ..items import ProductItem
class JdSpider(RedisSpider):
name = 'jd'
redis_key = 'jd:start_urls'
def parse(self, response):
sel = Selector(response)
products = sel.xpath('//div[@class="gl-i-wrap"]')
for product in products:
item = ProductItem()
item['name'] = product.xpath('div[@class="p-name"]/a/em/text()').extract_first()
item['price'] = product.xpath('div[@class="p-price"]/strong/i/text()').extract_first()
item['url'] = product.xpath('div[@class="p-name"]/a/@href').extract_first()
yield item
```
在Item Pipeline中,您可以对抓取到的数据进行清洗和存储,下面是一个示例的Item Pipeline代码:
```python
import pymongo
class JdPipeline(object):
def __init__(self, mongo_uri, mongo_db):
self.mongo_uri = mongo_uri
self.mongo_db = mongo_db
@classmethod
def from_crawler(cls, crawler):
return cls(
mongo_uri=crawler.settings.get('MONGO_URI'),
mongo_db=crawler.settings.get('MONGO_DATABASE', 'items')
)
def open_spider(self, spider):
self.client = pymongo.MongoClient(self.mongo_uri)
self.db = self.client[self.mongo_db]
def close_spider(self, spider):
self.client.close()
def process_item(self, item, spider):
self.db['products'].insert(dict(item))
return item
```
最后,您需要创建一个Redis队列,并向队列中添加起始URL,如下所示:
```python
import redis
r = redis.Redis(host='localhost', port=6379)
r.lpush('jd:start_urls', 'https://search.jd.com/Search?keyword=%E5%8D%8E%E4%B8%BA%E7%AC%94%E8%AE%B0%E6%9C%AC&enc=utf-8')
```
最终,您就可以运行分布式爬虫并抓取京东华为笔记本的数据了。
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