以scrapy爬蟲爬取簡書中所有的頁面詳情數據爲例:html
1.cmd執行scrapy genspider -t crawl jbooks jianshu.com mysql
建立完爬蟲項目後最好爲其建立一個腳本啓動文件start.py 文件在項目根目錄便可sql
from scrapy import cmdline #啓動爬蟲命令
cmdline.execute('scrapy crawl js'.split())
去配置文件更改默認的配置信息:數據庫
1.robot協議必須改成falseapi
ROBOTSTXT_OBEY = False
2.添加準備好的請求頭信息,防止被網站識別:app
DEFAULT_REQUEST_HEADERS = { 'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8', 'Accept-Language': 'en', 'User-Agent': 'Mozilla/5.0 (Windows NT 6.3; Trident/7.0; rv 11.0) like Gecko', }
至此,新項目的配置完成,開始編寫爬蟲腳本。dom
先明確要獲取的字段數據,在items完成:異步
import scrapy class JbookItem(scrapy.Item): title = scrapy.Field() #標題
content = scrapy.Field() #內容
article_id = scrapy.Field() #文章ID
source_url = scrapy.Field() #源地址
author =scrapy.Field() #做者
avatar = scrapy.Field() #做者頭像
pub_time = scrapy.Field() #發佈日期
爬蟲腳本代碼:scrapy
# -*- coding: utf-8 -*-
import scrapy from scrapy.linkextractors import LinkExtractor from scrapy.spiders import CrawlSpider, Rule from jbook.items import JbookItem class JsSpider(CrawlSpider): name = 'js' allowed_domains = ['jianshu.com'] start_urls = ['https://www.jianshu.com/'] rules = ( #匹配當前頁面中所有的url
Rule(LinkExtractor(allow=r'.*/p/[0-9a-z]{12}.*'), callback='parse_detail', follow=True), ) def parse_detail(self, response): title = response.xpath('//div[@class="article"]/h1/text()').get().strip() #標題
# content = response.xpath('//div[@class="show-content-free"]//text()').getall()
# cont = ''.join(content).strip() #內容
content = response.xpath('//div[@class="show-content-free"]').get() url = response.url url1 = url.split("?")[0] article_id = url1.split('/')[-1] #文章id
author = response.xpath('//div[@class="info"]/span[@class="name"]/a/text()').get().strip() #做者
avatar = response.xpath('//div[@class="author"]/a[@class="avatar"]/img/@src').get() avat = "https:"+avatar.split('?')[0] #頭像
pub_time = response.xpath('//span[@class="publish-time"]/text()').get().strip() #發佈日期
item = JbookItem(title=title, content=content, article_id=article_id, source_url=url, author=author, avatar=avat, pub_time=pub_time ) yield item
將item字典對象中的數據傳遞給管道文件去操做:piplines.pyide
import pymysql class JbookPipeline(object): def __init__(self): dbparams ={ 'host':'127.0.0.1', 'port':3306, 'user':'root', 'password':'root1234', 'database':'jbook', 'charset':'utf8' } self.conn = pymysql.connect(**dbparams) #建立數據庫鏈接對象
self.cursor = self.conn.cursor() #建立一個遊標對象
self._sql =None #初始化sql語句
def process_item(self, item, spider): self.cursor.execute(self.sql, (item['title'], item['content'], item['author'], item['avatar'], item['pub_time'], item['article_id'], item['source_url'], )) self.conn.commit() #提交插入語句
return item @property def sql(self): if not self._sql: self._sql=""" insert into article (id,title,content,author,avatar,pub_time,article_id,source_url) value (null,%s,%s,%s,%s,%s,%s,%s) """
return self._sql return self._sql
import pymysql from twisted.enterprise import adbapi from pymysql import cursors class JbookTwistedPipeline(object): def __init__(self): dbparams = { 'host': '127.0.0.1', 'port': 3306, 'user': 'root', 'password': 'root1234', 'database': 'jbook', 'charset': 'utf8', 'cursorclass': cursors.DictCursor } self.dbpool = adbapi.ConnectionPool('pymysql',**dbparams) self._sql= None @property def sql(self): if not self._sql: self._sql = """ insert into article (id,title,content,author,avatar,pub_time,article_id,source_url) value (null,%s,%s,%s,%s,%s,%s,%s) """
return self._sql return self._sql def process_item(self,item,spider): #對sql語句進行處理
defer = self.dbpool.runInteraction(self.insert_item,item) #執行函數insert_item 去插入數據
defer.addErrback(self.handle_error,item,spider) #遇到錯誤信息調用 handle_error方法
def insert_item(self, cursor, item): cursor.execute(self.sql, ( item['title'], item['content'], item['author'], item['avatar'], item['pub_time'], item['article_id'], item['source_url'], )) def handle_error(self,error,item,spider): print('='*20+'error'+'='*20) print(error) print('='*20+'error'+'='*20)
在配置文件中開啓piplines管道文件:
ITEM_PIPELINES = { # 'jbook.pipelines.JbookPipeline': 300,
'jbook.pipelines.JbookTwistedPipeline': 300, }