需要学习的地方:

保存item到MySQL数据库,MongoDB数据库,下载图片

1.爬虫文件images.py

# -*- coding: utf-8 -*-
from scrapy import Spider, Request
from urllib.parse import urlencode
import json from images360.items import ImageItem class ImagesSpider(Spider):
name = 'images'
allowed_domains = ['images.so.com']
start_urls = ['http://images.so.com/'] def start_requests(self):
data = {'ch': 'photography', 'listtype': 'new'}
base_url = 'https://image.so.com/zj?'
for page in range(1, self.settings.get('MAX_PAGE') + 1):
data['sn'] = page * 30
params = urlencode(data)
url = base_url + params
yield Request(url, self.parse) def parse(self, response):
result = json.loads(response.text)
for image in result.get('list'):
item = ImageItem()
item['id'] = image.get('imageid')
item['url'] = image.get('qhimg_url')
item['title'] = image.get('group_title')
item['thumb'] = image.get('qhimg_thumb_url')
yield item

2.items.py

# -*- coding: utf-8 -*-

# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html from scrapy import Item, Field class ImageItem(Item):
collection = table = 'images' id = Field()
url = Field()
title = Field()
thumb = Field()

3.pipelines.py

# -*- coding: utf-8 -*-

# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html import pymongo
import pymysql
from scrapy import Request
from scrapy.exceptions import DropItem
from scrapy.pipelines.images import ImagesPipeline class MongoPipeline(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_DB')
) def open_spider(self, spider):
self.client = pymongo.MongoClient(self.mongo_uri)
self.db = self.client[self.mongo_db] def process_item(self, item, spider):
name = item.collection
self.db[name].insert(dict(item))
return item def close_spider(self, spider):
self.client.close() class MysqlPipeline():
def __init__(self, host, database, user, password, port):
self.host = host
self.database = database
self.user = user
self.password = password
self.port = port @classmethod
def from_crawler(cls, crawler):
return cls(
host=crawler.settings.get('MYSQL_HOST'),
database=crawler.settings.get('MYSQL_DATABASE'),
user=crawler.settings.get('MYSQL_USER'),
password=crawler.settings.get('MYSQL_PASSWORD'),
port=crawler.settings.get('MYSQL_PORT'),
) def open_spider(self, spider):
self.db = pymysql.connect(self.host, self.user, self.password, self.database, charset='utf8',
port=self.port)
self.cursor = self.db.cursor() def close_spider(self, spider):
self.db.close() def process_item(self, item, spider):
print(item['title'])
data = dict(item)
keys = ', '.join(data.keys())
values = ', '.join(['%s'] * len(data))
sql = 'insert into %s (%s) values (%s)' % (item.table, keys, values)
self.cursor.execute(sql, tuple(data.values()))
self.db.commit()
return item class ImagePipeline(ImagesPipeline):
def file_path(self, request, response=None, info=None):
url = request.url
file_name = url.split('/')[-1]
return file_name def item_completed(self, results, item, info):
image_paths = [x['path'] for ok, x in results if ok]
if not image_paths:
raise DropItem('Image Downloaded Failed')
return item def get_media_requests(self, item, info):
yield Request(item['url'])

4.settings.py

配置文件中增加如下内容

ITEM_PIPELINES = {
'images360.pipelines.ImagePipeline': 300,
'images360.pipelines.MongoPipeline': 301,
'images360.pipelines.MysqlPipeline': 302,
} IMAGES_STORE = './images' MAX_PAGE = 50 MONGO_URI = 'localhost'
MONGO_DB = 'images360' MYSQL_HOST = 'localhost'
MYSQL_DATABASE = 'images360'
MYSQL_USER = 'root'
MYSQL_PASSWORD = ''
MYSQL_PORT = 3306

代码下载地址:https://files.cnblogs.com/files/sanduzxcvbnm/Images360-master.7z

Scrapy Item用法示例(保存item到MySQL数据库,MongoDB数据库,使用官方组件下载图片)的更多相关文章

  1. 使用官方组件下载图片,保存到MySQL数据库,保存到MongoDB数据库

    需要学习的地方,使用官方组件下载图片的用法,保存item到MySQL数据库 需要提前创建好MySQL数据库,根据item.py文件中的字段信息创建相应的数据表 1.items.py文件 from sc ...

  2. scrapy爬取数据保存csv、mysql、mongodb、json

    目录 前言 Items Pipelines 前言 用Scrapy进行数据的保存进行一个常用的方法进行解析 Items item 是我们保存数据的容器,其类似于 python 中的字典.使用 item ...

  3. <day001>存储到Mysql、mongoDB数据库+简单的Ajax请求+os模块+进程池+MD5

    任务1:记住如何存储到Mysql.mongoDB数据库 ''' 存储到Mysql ''' import pymysql.cursors class QuotePipeline(object): def ...

  4. Python Json分别存入Mysql、MongoDB数据库,使用Xlwings库转成Excel表格

    将电影数据 data.json 数据通过xlwings库转换成excel表格,存入mysql,mongodb数据库中.python基础语法.xlwings库.mysql库.pymongo库.mongo ...

  5. scrapy基础知识之将item 通过pipeline保存数据到mysql mongoDB:

    pipelines.py class xxPipeline(object): def process_item(self, item, spider): con=pymysql.connect(hos ...

  6. redis数据库到mysql或mongodb数据库

    # -*- coding:utf-8 -*-# item_mongodb.py import redis import pymongo import json def main(): redis_co ...

  7. Scrapy爬去哪儿~上海一日游门票并存入MongoDB数据库

    aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZwAAAGGCAYAAABPDDfEAAAgAElEQVR4nOy9C3Rb1Z3/+z1Hkm35mT

  8. Python学习笔记(五)之Python操作Redis、mysql、mongodb数据库

    操作数据库 一.数据库 数据库类型主要有关系型数据库和菲关系型数据库. 数据库:用来存储和管理数的仓库,数据库是通过依据“数据结构”将数据格式化,以记录->表->库的关系存储.因此数据查询 ...

  9. Redis/Mysql/SQLite/MongoDB 数据库对比

    一.Redis: redis是一个key-value存储系统.和Memcached类似,它支持存储的value类型相对更多,包括string(字符串).list(链表).set(集合).zset(so ...

随机推荐

  1. LeetCode 705. Design HashSet (设计哈希集合)

    题目标签:HashMap 题目让我们设计一个 hashset,有add,contains,remove 功能. 建立一个boolean array,index 是数字的值,具体看code. Java ...

  2. WebView与JavaScript交互--Android

    转载请注明出处:  http://blog.csdn.net/forwardyzk/article/details/46819925 在工作中,有一个这种需求,须要用到WebView与javascri ...

  3. UVA 1640(DFS)

    题意:给你a,b两个数 问你a b区间中0 9出现的次数 其实就是求1-n中0-9出现的次数 ans[n]   答案就是ans[b]-ans[a-1] 怎么求的话看代码吧 #include<io ...

  4. bzoj2648

    http://www.lydsy.com/JudgeOnline/problem.php?id=2648 kdtree裸题... 抄板子一边抄对了... 挺好理解的,就是说我们先找出中间的元素,然后小 ...

  5. Ansi2Utf8 小工具

    将GB2312编码的文件转成Unity使用的UTF8无bom格式 主要用批处理执行 Ansi2Utf8.exe XXXXX.txt  源代码 using System; using System.Co ...

  6. CF 351A - Jeff and Rounding DP

    http://codeforces.com/problemset/problem/351/C 题意:有2*n个浮点数a1,a2,a3...a2*n,把他们分成n队,对于每对<A,B>,对A ...

  7. ACM_最值差(线段树区间查询最值)

    最值差 Time Limit: 2000/1000ms (Java/Others) Problem Description: 给定N个数A1A2A3A4...AN.求任意区间Ai到Aj中的最大数与最小 ...

  8. [转]android 获取 imei号码

    核心代码: Imei = ((TelephonyManager) getSystemService(TELEPHONY_SERVICE)) .getDeviceId(); 1.加入权限 在manife ...

  9. <assert.h>

    Diagnostics 定义宏: void assert (scalar-expression); 若expression为0,则打印出错信息(类似Assertion failed: expressi ...

  10. 服务器端 CentOS 下配置 JDK 和 Tonmcat 踩坑合集

    一.配置 JDK 时,在 /etc/profile 文件下配置环境变量,添加   #java environment export JAVA_HOME=/usr/java/jdk- export CL ...