需要学习的地方:
1.Scrapy框架流程梳理,各文件的用途等
2.在Scrapy框架中使用MongoDB数据库存储数据
3.提取下一页链接,回调自身函数再次获取数据
站点:http://quotes.toscrape.com
该站点网页结构比较简单,需要的数据都在div标签中
操作步骤:
1.创建项目
# scrapy startproject quotetutorial
此时目录结构如下:
2.生成爬虫文件
# cd quotetutorial
# scrapy genspider quotes quotes.toscrape.com # 若是有多个爬虫多次操作该命令即可
3.编辑items.py文件,获取需要输出的数据
import scrapyclass QuoteItem(scrapy.Item): ???# define the fields for your item here like: ???# name = scrapy.Field() ???text = scrapy.Field() ???author = scrapy.Field() ???tags = scrapy.Field()
4.编辑quotes.py文件,爬取网站数据
# -*- coding: utf-8 -*-import scrapyfrom quotetutorial.items import QuoteItemclass QuotesSpider(scrapy.Spider): ???name = ‘quotes‘ ???allowed_domains = [‘quotes.toscrape.com‘] ???start_urls = [‘http://quotes.toscrape.com/‘] ???def parse(self, response): ???????# print(response.status) # 200 ???????quotes = response.css(‘.quote‘) ???????for quote in quotes: ???????????item = QuoteItem() ???????????text = quote.css(‘.text::text‘).extract_first() ???????????author = quote.css(‘.author::text‘).extract_first() ???????????tags = quote.css(‘.tags .tag::text‘).extract() ???????????item[‘text‘] = text ???????????item[‘author‘] = author ???????????item[‘tags‘] = tags ???????????yield item ???????next = response.css(‘.pager .next a::attr(href)‘).extract_first() ?# 获取下一页的相对链接 ???????url = response.urljoin(next) ?# 生成完整的下一页链接 ???????yield scrapy.Request(url=url, callback=self.parse) ?# 把下一页的链接回调给自身再次请求
5.编写pipelines.py文件,进一步处理item数据,保存到mongodb数据库
# -*- coding: utf-8 -*-# Define your item pipelines here## Don‘t forget to add your pipeline to the ITEM_PIPELINES setting# See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html# 使用的话需要在settings文件中设置import pymongo as pymongofrom scrapy.exceptions import DropItemclass TextPipeline(object): ???"""对输出的item进行进一步的处理""" ???def __init__(self): ???????self.limit = 50 ???def process_item(self, item, spider): ???????if item[‘text‘]: ???????????if len(item[‘text‘]) > self.limit: ???????????????item[‘text‘] = item[‘text‘][0:self.limit].rstrip() + ‘......‘ ???????????return item ???????else: ???????????return DropItem(‘Missing Text!‘)class MongoPipeline(object): ???"""把输出的item保存到MongoDB数据库""" ???def __init__(self, mongo_url, mongo_db): ???????self.mongo_uri = mongo_url ???????self.mongo_db = mongo_db ???@classmethod ???def from_crawler(cls, crawler): ???????"""从settings文件获取配置信息""" ???????return cls( ???????????mongo_url=crawler.settings.get(‘MONGO_URI‘), ???????????mongo_db=crawler.settings.get(‘MONGO_DB‘) ???????) ???def open_spider(self, spider): ???????"""初始化mongodb""" ???????self.client = pymongo.MongoClient(self.mongo_uri) ???????self.db = self.client[self.mongo_db] ?# 为啥用[],而不是() ???def process_item(self, item, spider): ???????name = item.__class__.__name__ ?# 获取item的名称用作表名,也就是QuoteItem ???????self.db[name].insert(dict(item)) ?# 为啥要用dict(item) ???????return item ???def close_spider(self, spider): ???????self.client.close()
6.编辑配置文件,增加mongodb数据库参数,以及使用的pipeline管道参数
ITEM_PIPELINES = { ??# ‘quotetutorial.pipelines.TextPipeline‘: 300, ??‘quotetutorial.pipelines.MongoPipeline‘: 400,}MONGO_URI = ‘localhost‘MONGO_DB = ‘quotestutorial‘
7.执行程序
# scrapy crawl quotes
8.保存到文件
# scrapy crawl quotes -o quotes.json # 保存成json文件
# scrapy crawl quotes -o quotes.csv # 保存成csv文件
# scrapy crawl quotes -o quotes.xml # 保存成xml文件
# scrapy crawl quotes -o quotes.jl # 保存成jl文件
# scrapy crawl quotes -o quotes.pickle # 保存成pickle文件
# scrapy crawl quotes -o quotes.marshal # 保存成marshal文件
# scrapy crawl quotes -o ftp://user:password@ftp.example.com/path/quotes.csv # 生成csv文件保存到远程FTP上
效果:
源码下载地址:https://files.cnblogs.com/files/sanduzxcvbnm/quotetutorial.7z
Scrapy实战:爬取http://quotes.toscrape.com网站数据
原文地址:https://www.cnblogs.com/sanduzxcvbnm/p/10292754.html