前言
本節開始學習scrapy
1、原理
Scrapy主要包括了以下組件:
- 引擎(Scrapy):用來處理整個系統的數據流處理, 觸發事務(框架核心)
- 調度器(Scheduler):用來接受引擎發過來的請求, 壓入隊列中, 並在引擎再次請求的時候返回. 可以想像成一個URL(抓取網頁的網址或者說是鏈接)的優先隊列, 由它來決定下一個要抓取的網址是什麼, 同時去除重複的網址
- 下載器(Downloader):用於下載網頁內容, 並將網頁內容返回給蜘蛛(Scrapy下載器是建立在twisted這個高效的異步模型上的)
- 爬蟲(Spiders):爬蟲是主要幹活的, 用於從特定的網頁中提取自己需要的信息, 即所謂的實體(Item)。用戶也可以從中提取出鏈接,讓Scrapy繼續抓取下一個頁面
- 項目管道(Pipeline):負責處理爬蟲從網頁中抽取的實體,主要的功能是持久化實體、驗證實體的有效性、清除不需要的信息。當頁面被爬蟲解析後,將被髮送到項目管道,並經過幾個特定的次序處理數據。
- 下載器中間件(Downloader Middlewares):位於Scrapy引擎和下載器之間的框架,主要是處理Scrapy引擎與下載器之間的請求及響應。
- 爬蟲中間件(Spider Middlewares):介於Scrapy引擎和爬蟲之間的框架,主要工作是處理蜘蛛的響應輸入和請求輸出。
- 調度中間件(Scheduler Middewares):介於Scrapy引擎和調度之間的中間件,從Scrapy引擎發送到調度的請求和響應。
Scrapy運行流程大概如下:
- 引擎從調度器中取出一個鏈接(URL)用於接下來的抓取
- 引擎把URL封裝成一個請求(Request)傳給下載器
- 下載器把資源下載下來,並封裝成應答包(Response)
- 爬蟲解析Response
- 解析出實體(Item),則交給實體管道進行進一步的處理
- 解析出的是鏈接(URL),則把URL交給調度器等待抓取
2、命令行
#1.創建一個新的項目
scrapy startproject [項目名]
#2.生成爬蟲
scrapy genspider +文件名+網址
#3.運行(crawl)
scrapy crawl +爬蟲名稱
scrapy crawl [爬蟲名] -o zufang.json
# -o output
scrapy crawl [爬蟲名] -o zufang.csv
#4.check檢查錯誤
scrapy check
#5.list返回項目所有spider名稱
scrapy list
#6. view 存儲、打開網頁
scrapy view https://www.baidu.com
#7. scrapy shell,進入終端
scrapy shell https://www.baidu.co
#8. scrapy runspider
scrapy runspider zufang_spider.py
3、一個簡單例子
爬取租房信息
items.py
import scrapy
class MaitianItem(scrapy.Item):
# define the fields for your item here like:
# name = scrapy.Field()
title = scrapy.Field()
price = scrapy.Field()
area = scrapy.Field()
district = scrapy.Field()
settings.py
BOT_NAME = 'maitian'
SPIDER_MODULES = ['maitian.spiders']
NEWSPIDER_MODULE = 'maitian.spiders'
ROBOTSTXT_OBEY = True
TEM_PIPELINES = {'maitian.pipelines.MaitianPipeline': 300,}
MONGODB_HOST = '127.0.0.1'
MONGODB_PORT = 27017
MONGODB_DBNAME = 'maitian'
MONGODB_DOCNAME = 'zufang'
pipelines.py
import pymongo
from scrapy.conf import settings
class MaitianPipeline(object):
def __init__(self):
host = settings['MONGODB_HOST']
port = settings['MONGODB_PORT']
db_name = settings['MONGODB_DBNAME']
client = pymongo.MongoClient(host=host, port=port)
db = client[db_name]
self.post = db[settings['MONGODB_DOCNAME']]
# 數據持久化
def process_item(self, item, spider):
zufang = dict(item)
self.post.insert(zufang)
return item
middlewares.py
from scrapy import signals
class MaitianSpiderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the spider middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_spider_input(self, response, spider):
# Called for each response that goes through the spider
# middleware and into the spider.
# Should return None or raise an exception.
return None
def process_spider_output(self, response, result, spider):
# Called with the results returned from the Spider, after
# it has processed the response.
# Must return an iterable of Request, dict or Item objects.
for i in result:
yield i
def process_spider_exception(self, response, exception, spider):
# Called when a spider or process_spider_input() method
# (from other spider middleware) raises an exception.
# Should return either None or an iterable of Response, dict
# or Item objects.
pass
def process_start_requests(self, start_requests, spider):
# Called with the start requests of the spider, and works
# similarly to the process_spider_output() method, except
# that it doesn’t have a response associated.
# Must return only requests (not items).
for r in start_requests:
yield r
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
class MaitianDownloaderMiddleware(object):
# Not all methods need to be defined. If a method is not defined,
# scrapy acts as if the downloader middleware does not modify the
# passed objects.
@classmethod
def from_crawler(cls, crawler):
# This method is used by Scrapy to create your spiders.
s = cls()
crawler.signals.connect(s.spider_opened, signal=signals.spider_opened)
return s
def process_request(self, request, spider):
# Called for each request that goes through the downloader
# middleware.
# Must either:
# - return None: continue processing this request
# - or return a Response object
# - or return a Request object
# - or raise IgnoreRequest: process_exception() methods of
# installed downloader middleware will be called
return None
def process_response(self, request, response, spider):
# Called with the response returned from the downloader.
# Must either;
# - return a Response object
# - return a Request object
# - or raise IgnoreRequest
return response
def process_exception(self, request, exception, spider):
# Called when a download handler or a process_request()
# (from other downloader middleware) raises an exception.
# Must either:
# - return None: continue processing this exception
# - return a Response object: stops process_exception() chain
# - return a Request object: stops process_exception() chain
pass
def spider_opened(self, spider):
spider.logger.info('Spider opened: %s' % spider.name)
zufang_spider.py
import scrapy
from maitian.items import MaitianItem
class MaitianSpider(scrapy.Spider):
name = "zufang"
start_urls = ['http://bj.maitian.cn/zfall/PG1'] #起始url
def parse(self, response): #解析函數parse
for zufang_item in response.xpath('//div[@class="list_title"]'):
yield {
'title': zufang_item.xpath('./h1/a/text()').extract_first().strip(),
'price': zufang_item.xpath('./div[@class="the_price"]/ol/strong/span/text()').extract_first().strip(),
'area': zufang_item.xpath('./p/span/text()').extract_first().replace('㎡','')
.strip(),
'district': zufang_item.xpath('./p//text()').re(r'昌平|朝陽|東城|大興|豐臺|海淀|石景山|順義|通州|西城')[0],
}
next_page_url = response.xpath('//div[@id="paging"]/a[@class="down_page"]/@href').extract_first() #下一頁
if next_page_url is not None:
yield scrapy.Request(response.urljoin(next_page_url))
結語
簡單感受了下scrapy
之後慢慢學習