diff --git a/.gitignore b/.gitignore
index 13d1490..a81c8ee 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,4 +1,3 @@
-# ---> Python
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
@@ -21,7 +20,6 @@ parts/
sdist/
var/
wheels/
-pip-wheel-metadata/
share/python-wheels/
*.egg-info/
.installed.cfg
@@ -51,6 +49,7 @@ coverage.xml
*.py,cover
.hypothesis/
.pytest_cache/
+cover/
# Translations
*.mo
@@ -73,6 +72,7 @@ instance/
docs/_build/
# PyBuilder
+.pybuilder/
target/
# Jupyter Notebook
@@ -83,7 +83,9 @@ profile_default/
ipython_config.py
# pyenv
-.python-version
+# For a library or package, you might want to ignore these files since the code is
+# intended to run in multiple environments; otherwise, check them in:
+# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
@@ -129,3 +131,8 @@ dmypy.json
# Pyre type checker
.pyre/
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
diff --git a/.idea/.gitignore b/.idea/.gitignore
new file mode 100644
index 0000000..13566b8
--- /dev/null
+++ b/.idea/.gitignore
@@ -0,0 +1,8 @@
+# Default ignored files
+/shelf/
+/workspace.xml
+# Editor-based HTTP Client requests
+/httpRequests/
+# Datasource local storage ignored files
+/dataSources/
+/dataSources.local.xml
diff --git a/.idea/inspectionProfiles/profiles_settings.xml b/.idea/inspectionProfiles/profiles_settings.xml
new file mode 100644
index 0000000..105ce2d
--- /dev/null
+++ b/.idea/inspectionProfiles/profiles_settings.xml
@@ -0,0 +1,6 @@
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/jd-distributed-crawler.iml b/.idea/jd-distributed-crawler.iml
new file mode 100644
index 0000000..9a323b0
--- /dev/null
+++ b/.idea/jd-distributed-crawler.iml
@@ -0,0 +1,10 @@
+
+
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/misc.xml b/.idea/misc.xml
new file mode 100644
index 0000000..dc9ea49
--- /dev/null
+++ b/.idea/misc.xml
@@ -0,0 +1,4 @@
+
+
+
+
\ No newline at end of file
diff --git a/.idea/modules.xml b/.idea/modules.xml
new file mode 100644
index 0000000..347624f
--- /dev/null
+++ b/.idea/modules.xml
@@ -0,0 +1,8 @@
+
+
+
+
+
+
+
+
\ No newline at end of file
diff --git a/.idea/vcs.xml b/.idea/vcs.xml
new file mode 100644
index 0000000..94a25f7
--- /dev/null
+++ b/.idea/vcs.xml
@@ -0,0 +1,6 @@
+
+
+
+
+
+
\ No newline at end of file
diff --git a/LICENSE b/LICENSE
index e37e32e..dbbe355 100644
--- a/LICENSE
+++ b/LICENSE
@@ -1,613 +1,661 @@
-GNU AFFERO GENERAL PUBLIC LICENSE
-
-Version 3, 19 November 2007
-
-Copyright (C) 2007 Free Software Foundation, Inc.
-
-Everyone is permitted to copy and distribute verbatim copies of this license
-document, but changing it is not allowed.
-
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-
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-
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+
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+possible use to the public, the best way to achieve this is to make it
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+
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+to attach them to the start of each source file to most effectively
+state the exclusion of warranty; and each file should have at least
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+ Copyright (C)
+
+ This program is free software: you can redistribute it and/or modify
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+ by the Free Software Foundation, either version 3 of the License, or
+ (at your option) any later version.
+
+ This program is distributed in the hope that it will be useful,
+ but WITHOUT ANY WARRANTY; without even the implied warranty of
+ MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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+
+ You should have received a copy of the GNU Affero General Public License
+ along with this program. If not, see .
Also add information on how to contact you by electronic and paper mail.
-If your software can interact with users remotely through a computer network,
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-more information on this, and how to apply and follow the GNU AGPL, see .
+ If your software can interact with users remotely through a computer
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+get its source. For example, if your program is a web application, its
+interface could display a "Source" link that leads users to an archive
+of the code. There are many ways you could offer source, and different
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+.
diff --git a/README.en.md b/README.en.md
new file mode 100644
index 0000000..00e91ac
--- /dev/null
+++ b/README.en.md
@@ -0,0 +1,37 @@
+# 京东分布式爬虫
+
+#### Description
+selenium爬取搜索页
+scrapy爬取详情页
+
+#### Software Architecture
+Software architecture description
+
+#### Installation
+
+1. xxxx
+2. xxxx
+3. xxxx
+
+#### Instructions
+
+1. xxxx
+2. xxxx
+3. xxxx
+
+#### Contribution
+
+1. Fork the repository
+2. Create Feat_xxx branch
+3. Commit your code
+4. Create Pull Request
+
+
+#### Gitee Feature
+
+1. You can use Readme\_XXX.md to support different languages, such as Readme\_en.md, Readme\_zh.md
+2. Gitee blog [blog.gitee.com](https://blog.gitee.com)
+3. Explore open source project [https://gitee.com/explore](https://gitee.com/explore)
+4. The most valuable open source project [GVP](https://gitee.com/gvp)
+5. The manual of Gitee [https://gitee.com/help](https://gitee.com/help)
+6. The most popular members [https://gitee.com/gitee-stars/](https://gitee.com/gitee-stars/)
diff --git a/README.md b/README.md
index 021bf44..00b77dc 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,221 @@
-# jd-distributed-crawler
+# 京东显卡商品信息分布式爬虫
+### 介绍
+
+本爬虫分两个部分:
+
+- 第一部分搜索页爬虫是使用selenium爬取搜索页, 主要获取的是商品的sku和价格
+
+- 第二部分商品页爬虫使用scrapy爬取详情页的商品介绍信息, 主要获取商品的型号
+
+由于京东商品种类繁多, 不同的商品品类间差异巨大, 商品页爬虫的代码也就不近相同. 出于成本和时间考虑, 搜索页爬虫使用**3080**作为搜索关键词, 商品页爬虫爬取搜索页爬虫获取的商品对应的详情页
+
+其整体架构如下:
+
+
+
+### 电商网站筛选
+
+爬虫的目的就是为了获取一定量的有价值的信息, 就目前中文互联网来说, 电商网站是信息密度和价值密度比较高的地方, 因此使用爬虫获取信息有一定的可用性.
+
+目前而言, 淘宝获取的商品信息结果层次最多, 品类最全. 但是首先淘宝商品搜索页混杂天猫,天猫国际, 淘宝卖家等各类各不相同的店铺, 因此其商品详情页结构也大相径庭; 其次是淘宝历史包袱比较重, 因此有许多结构混乱的页面混杂其中, 难以提取数据.
+
+因此, 实际考虑后确认, 淘宝不是太适合新人小团队去学习试炼爬虫爬取信息.
+
+相对而言, 京东搜索页基本同一为京东自己的页面, 京东自营, 旗舰店和商家店结构基本没有区别, 详情页结构也一致, 对爬虫比较友好(京东唯一不太友好的地方只有, 其主站页面下并没有写robots.txt). 因此考虑爬取京东.
+
+### 搜索页爬虫
+
+主要由`settings.yaml`和`jdSearchSeleniumSpider.py`两部分组成,`settings.yaml`是配置文件, `jdSearchSeleniumSpider.py`是代码执行主体
+
+#### 前期工作
+
+基本而言, 任何有搜索功能的网站都会对其搜索功能做一定的限制, 以防止单个ip过高频率的访问, 占用过多资源.
+
+京东也不例外, 对于未登录的请求, 甚至是带着header和cookie的请求, 往往都是秉持拒绝的态度, 要求验证登录:
+
+
+
+
+
+搜索引擎的爬虫验证一般级别都比较高, 难以绕过. 考虑到搜索页的数量相对于商品页的数量往往是少一个数量级, 且京东单个搜索词的页面量也大致在几十几百页的数量级之间, 因此使用python的`selenium`库, 驱动浏览器去自动化访问搜索页, 进而获取数据, 是比较简单且可行的方案.
+
+#### settings.yaml
+
+`setting.yaml`是搜索页爬虫的配置文件, 其内容如下:
+
+```yaml
+search:
+ keyword: '3080'
+ sleep: 5
+
+redis:
+ host: '120.24.87.40'
+ port: '6379'
+ password: 'Guet@207'
+ db: 1
+
+mongodb:
+ host: '120.24.87.40'
+ port: '27017'
+ username: "admin"
+ password: "123456"
+
+result:
+ rpush_key: "jd:start_urls"
+```
+
+- `search`
+
+ - `keyword`: 要搜索的关键字, 即在京东商品搜索上的要搜索的商品;
+
+ - `sleep`: 休眠时间, 单位: 秒; 由于**selenium**操作页面的动作(例如点击翻页, 下拉)是**异步**的, 而读取页面是**同步**的. 京东需要执行下拉这个操作后才加载出所有的商品信息, 为了读取全当前的页面信息, 需要休眠一段时间等待异步操作完成;
+
+- `redis`
+
+ - `host`: redis部署的服务器地址;
+
+ - `port`: redis部署时开放的端口号;
+
+ - `password`: redis部署时设置的auth;
+
+ - `db`: 需要使用redis的第几个数据库
+
+- `mongodb`
+
+ - `host`: MongoDB部署的服务器地址;
+
+ - `port`: MongoDB部署时开放的端口号;
+
+ - `username`: MongoDB部署时设置的auth的用户名, 或者说要使用的MongoDB的数据库名;
+
+ - `password`: MongoDB部署时设置的auth.
+
+- `result`
+
+ - `rpush_key`: 爬虫获取到的数据形成的url要放入redis时设置的key, url在Redis中存储方式是列表
+
+#### jdSearchSeleniumSpider.py
+
+搜索页爬虫的程序入口, 根据京东搜索页面爬取页面元素.
+
+启动程序后进入京东的商品搜索页面. 搜索页的搜索关键字为`settings.py`中设定的`search.keyword`.
+
+京东的搜索页面会分两个阶段加载, 第一个加载阶段加载成功后(即加载出30个商品的信息), 爬虫会执行`scroll_by_xpath()`, 作用是滚动网页到网页底部, 触发京东搜索页面的第二个加载阶段, 把一个页面上的信息都加载到浏览器里.
+
+`scroll_by_xpath()` 内部原理就是驱动浏览器移动视图, 使视图可以看到指定的元素. 在该爬虫中, 指定的网页元素的**xpath**为`//*[@id="J_bottomPage"]/span[1]/a[9]`, 代表的是京东搜索页面的下一页按钮这一网页元素.
+
+两个阶段都加载完成后, 获取网页中所有商品的sku和价格.
+
+
+
+sku是京东给商品的编号, 且可以根据sku拼接对应商品的详情页的URL.
+
+获取到sku和价格后, 将sku拼接为URL, rpush到Redis设置好的数据库的`result.rpush_key`中, 并且将每个商品的数据以`{'sku': sku, 'price': price}`的形式, 放入MongoDB设置好的数据库中. 放入MongoDB前会根据sku字段查询数据是否存在(原子操作, 可分布式), 防止重复插入.
+
+### 商品页爬虫
+
+商品页爬虫使用了`scrapy_redis`去写, 即`Scrapy`的redis版本, 他与`Scrapy`的主要区别就是把存放URL于Reids数据库中, 利用Redis的特性, 即在多个请求请求同一个数据时, 会默认对请求排序, 有一个队列效果, 保证了分布式爬虫获取到不同的URL.
+
+`scrapy_redis`框架下的爬虫执行是异步的, 即, 从Redis数据库的列表中获取URL后, 发起Request, 便可以执行下一次从Redis中获取Redis, 而发起Request得到的response则等得到后再由回调函数处理(即执行`jdsku.py`里的`parse`方法).
+
+该爬虫只需要在**本爬虫目录下**, 调用`scrapy crawl jdsku`即可启动.
+
+#### settings.py
+
+配置文件, 具体配置查看`Scrapy`的配置, 其中有几个是`scrapy_redis`的配置或本次项目引入的配置, 在此说明:
+
+
+
+个人配置:
+
+`PROXY_SERVER_URL`: IP代理商提供的直连IP的API地址;
+
+`TEST_PAGE`: 用于测试IP代理商提供的IP代理服务是否能访问JD的测试地址, 可以按需更换不同的京东商品地址;
+
+`mongodb`: 配置时需要以字典形式配置
+
+- `host`: MongoDB服务器的地址;
+
+- `port`: MongoDB服务器暴露的端口;
+
+- `username`: MongoDB要使用的用户名(也是数据库名)
+
+- `password`: MongoDB对应用户名的验证密码
+
+`cookies`: 浏览器访问京东时的`cookies`, 有助于模拟浏览器访问, 降低失败率
+
+
+
+scrapy_redis配置:
+
+`DONT_FILTER`: Redis访问不去重, True代表不去重. 不去重的原因是使用代理访问商品详情页时可能会失败, 此时会将URL重新放回Redis的列表开头;
+
+`SCHEDULER='scrapy_redis.scheduler.Scheduler'`: 使用scrapy_redis中的调度器, 即保证每台主机爬取的URL地址都不同的Scheduler.
+
+`DUPEFILTER_CLASS = 'scrapy_redis.dupefilter.RFPDupeFilter'`: 配置scrapy使用的去重类, 即RFPDupeFilter.
+
+ `SCHEDULER_SERIALIZER = "scrapy_redis.picklecompat"`: 使用`scrapy_redis.picklecompat`作为序列化, 不序列化的数据可能会出现乱码.
+
+ `AUTOTHROTTLE_ENABLED = True`: 开启自动限速, 控制爬取速度,降低对方服务器压力.
+
+#### items.py
+
+代码如下:
+
+```python
+import scrapy
+
+
+class JdskuspiderItem(scrapy.Item):
+ # sku-id
+ sku = scrapy.Field()
+ # title
+ title = scrapy.Field()
+ # 显卡型号
+ model = scrapy.Field()
+ # 显存类型
+ memoryType = scrapy.Field()
+ # 显存位宽
+ bitWidth = scrapy.Field()
+ # 显存容量
+ memoryCapacity = scrapy.Field()
+```
+
+item是爬虫数据的容器, 方便我们按对应字段存储数据
+
+
+
+#### jdsku.py
+
+商品页爬虫的程序入口, 根据redis数据库对应的列表访问对应URL, 在京东商品详情页面爬取页面元素. 因为使用`scrapy_redis`框架, 也就是`Scrapy`的Redis分布式版本, 因此大部分代码都是在重写方法.
+
+对于`class JdskuSpider(RedisSpider)`:
+
+**属性**:
+
+`name`: 爬虫的名字, 后续在终端启动爬虫时需要输入的爬虫名;
+
+`allowed_domains`: 运行爬取的URL范围;
+
+`redis_key`: Redis数据库中存放要爬取的URL的列表的Key名, 会获取列表中的第一个数据;
+
+`redis_connection`: 存放一个新的Redis连接, 该连接后续用于访问失败时重新把URL返回给Redis列表;
+
+`mongo_connection`: 存放一个新的MongoDB连接, 该连接后续用于存放最终数据.
+
+**方法**:
+
+两个方法都是重写方法, 方法名和参数都固定, 两个方法都是自动调用.
+
+`make_requests_from_url(self, url)`:
+
+- `scrapy_redis`框架会调用该方法, 发起一个访问参数里URL的request, 返回一个response, 框架会将response发给他的回调函数处理(即下述的`parse`);
+
+- `meta={'url':url}`表示会将`{'url': url}`作为数据传递下去, 这样在他的回调函数(`parse`)里就能使用到该数据.
+
+`parse(self, response)`:
+
+- `scrapy_redis`发送的请求得到response后的回调函数;
+
+- 作用是解析商品详情页(针对特定商品), 提取数据, 并将其保存到MongoDB中, 若提取数据表现出来的是被京东拦截, 那么把该次访问的URL重新返回到Redis列表开头.
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diff --git a/jdSearchSpider/jdSearchSeleniumSpider.py b/jdSearchSpider/jdSearchSeleniumSpider.py
new file mode 100644
index 0000000..09ebcb6
--- /dev/null
+++ b/jdSearchSpider/jdSearchSeleniumSpider.py
@@ -0,0 +1,115 @@
+from time import sleep
+import yaml
+import redis
+from selenium import webdriver
+from selenium.webdriver.common.by import By
+from pymongo import MongoClient
+
+
+def scroll_by_xpath(webDriver, xpath):
+ """
+ 将webDriver里的网页下拉到xpath的位置
+ :param webDriver: web driver, 用于操作驱动后的浏览器
+ :param xpath: 要定位的元素的xpath, str
+ """
+ target = webDriver.find_element(By.XPATH, xpath)
+ webDriver.execute_script("arguments[0].scrollIntoView();", target)
+
+
+if __name__ == '__main__':
+ # 获取配置文件
+ yaml_file = "./settings.yaml"
+ with open(yaml_file, 'r') as f:
+ settings = yaml.safe_load(f)
+
+ # 获取redis连接
+ redis_connection = redis.Redis(
+ host=settings['redis']['host'],
+ port=settings['redis']['port'],
+ password=settings['redis']['password'],
+ db=settings['redis']['db'],
+ charset='UTF-8',
+ encoding='UTF-8')
+
+ mongo_connection = MongoClient('mongodb://{}:{}'.format(settings['mongodb']['host'], settings['mongodb']['port']),
+ username = settings['mongodb']['username'],
+ password = settings['mongodb']['password'])
+
+ # 打开京东商品搜索页
+ driver = webdriver.Chrome()
+ driver.get('https://search.jd.com/Search?keyword={}&enc=utf-8&wq={}'.format(settings['search']['keyword'], settings['search']['keyword']))
+ # 下拉到翻页导航的位置
+ scroll_by_xpath(driver, '//*[@id="J_bottomPage"]/span[1]/a[9]')
+ # 强制休眠5s再读取元素, 京东的搜索页需要下拉才加载全, 而下拉操作是异步的, 不匹配下拉时间读取不全元素
+ sleep(settings['search']['sleep'])
+ # 获取当前搜索的关键词的最大商品页
+ max_page = int(driver.find_element(By.XPATH, '//*[@id="J_bottomPage"]/span[2]/em[1]/b').text)
+
+ skuid_prev = []
+ skuid_url = []
+ page = 0
+ while page < max_page:
+ sku_price = []
+
+ # 下拉
+ scroll_by_xpath(driver, '//*[@id="J_bottomPage"]/span[1]/a[9]')
+ sleep(settings['search']['sleep'])
+
+ # 获取搜索页的商品的skuid和对应的价格
+ li_list = driver.find_elements(By.XPATH, '//*[@id="J_goodsList"]/ul/li')
+ for li in li_list:
+ li_text = li.text.split("\n")
+ result = 0
+ for text in li_text:
+ if text[1] in [str(i) for i in range(10)] and text[2] in [str(i) for i in range(10)]:
+ result = text[1:-1]
+ break
+ price = result
+ sku_price.append({li.get_attribute("data-sku"): price})
+ # 重复读取时, 重来
+ if page != 0 and sku_price[0] == skuid_prev[0]:
+ page -= 1
+ continue
+ # 防止未加载完就读取元素, 重新读取
+ while len(skuid_prev) < len(skuid_prev):
+ li_list = driver.find_elements(By.XPATH, '//*[@id="J_goodsList"]/ul/li')
+ for li in li_list:
+ price = li.find_element(By.XPATH, "//*[@class='gl-i-wrap']/*[@class='p-price']//strong/i")
+ sku_price.append({li.get_attribute("data-sku"): price})
+
+ #拼接成url, 入redis的start_url
+ for dic in sku_price:
+ for key in dic.keys():
+ skuid_url.append('https://item.jd.com/{}.html'.format(key))
+ for url in skuid_url:
+ redis_connection.rpush(settings['result']['rpush_key'], url)
+
+ #将sku和price放入mongodb
+ mongoDB = mongo_connection['admin']
+ mongoCollection = mongoDB['a']
+
+ for dic in sku_price:
+ document = {}
+ for key in dic.keys():
+ document['sku'] = key
+ document['price'] = dic[key]
+ # 更新MongoDB:
+ # 当数据库里没有, 插入
+ mongoCollection.update_one(
+ {'sku': document['sku']},
+ {
+ '$setOnInsert': document #生效需要upsert=True
+ },
+ upsert=True
+ )
+
+ print(str(page) + " " + str(len(skuid_url)) + " ", end="")
+ print(sku_price)
+ print(skuid_url)
+ sleep(settings['search']['sleep'])
+
+ skuid_prev = sku_price.copy()
+ skuid_url = []
+ page += 1
+ # 翻页
+ driver.find_element(By.XPATH, '//*[@id="J_bottomPage"]/span[1]/a[9]').click()
\ No newline at end of file
diff --git a/jdSearchSpider/settings.yaml b/jdSearchSpider/settings.yaml
new file mode 100644
index 0000000..a6bbc73
--- /dev/null
+++ b/jdSearchSpider/settings.yaml
@@ -0,0 +1,18 @@
+search:
+ keyword: '3080'
+ sleep: 5
+
+redis:
+ host: '120.24.87.40'
+ port: '6379'
+ password: 'Guet@207'
+ db: 1
+
+mongodb:
+ host: '120.24.87.40'
+ port: '27017'
+ username: "admin"
+ password: "123456"
+
+result:
+ rpush_key: "jd:start_urls"
\ No newline at end of file
diff --git a/jdSkuSpider/jdSkuSpider/__init__.py b/jdSkuSpider/jdSkuSpider/__init__.py
new file mode 100644
index 0000000..e69de29
diff --git a/jdSkuSpider/jdSkuSpider/items.py b/jdSkuSpider/jdSkuSpider/items.py
new file mode 100644
index 0000000..b3741bf
--- /dev/null
+++ b/jdSkuSpider/jdSkuSpider/items.py
@@ -0,0 +1,28 @@
+# Define here the models for your scraped items
+#
+# See documentation in:
+# https://docs.scrapy.org/en/latest/topics/items.html
+
+import scrapy
+
+
+class JdskuspiderItem(scrapy.Item):
+ # define the fields for your item here like:
+ # name = scrapy.Field()
+ # sku-id
+ sku = scrapy.Field()
+
+ # title
+ title = scrapy.Field()
+
+ # 显卡型号
+ model = scrapy.Field()
+
+ # 显存类型
+ memoryType = scrapy.Field()
+
+ # 显存位宽
+ bitWidth = scrapy.Field()
+
+ # 显存容量
+ memoryCapacity = scrapy.Field()
diff --git a/jdSkuSpider/jdSkuSpider/middlewares.py b/jdSkuSpider/jdSkuSpider/middlewares.py
new file mode 100644
index 0000000..21a80f6
--- /dev/null
+++ b/jdSkuSpider/jdSkuSpider/middlewares.py
@@ -0,0 +1,177 @@
+# Define here the models for your spider middleware
+#
+# See documentation in:
+# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
+import random
+
+from scrapy import signals
+import requests
+import logging
+
+# useful for handling different item types with a single interface
+from itemadapter import is_item, ItemAdapter
+
+
+class JdskuspiderSpiderMiddleware:
+ # 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, 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 Request 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 JdskuspiderDownloaderMiddleware:
+ # 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)
+
+class ProxyMiddleWare:
+
+ logger = logging.getLogger(__name__)
+ proxy = ''
+
+ def get_random_proxy(self, spider):
+ """
+ 从代理页面获取代理url
+ :return: 代理url
+ """
+ try:
+ response = requests.get(spider.settings.get('PROXY_SERVER_URL'))
+ if response.status_code == 200:
+ # 得到类似['125.111.146.122:4345', '114.239.146.151:4356', '']
+ url_list = response.text.split("\r\n")
+ # 去掉最后一个空字符串
+ url_list.pop(-1)
+
+ proxy = '{}'.format(random.choice(url_list))
+ ip = {"http": "http://" + proxy}
+ logging.info("=====获取代理: {}=====".format(ip))
+
+ r = requests.get("http://www.baidu.com", proxies=ip, timeout=10)
+ if r.status_code == 200:
+ logging.info("=====代理通过测试, 选择该ip: {}=====".format(ip))
+ return proxy
+ except:
+ logging.info('=====未通过代理测试, 重新从代理商处获取代理=====')
+ return self.get_random_proxy(spider)
+
+ def get_proxy(self, spider):
+ """
+ 从代理池里获取代理, 节省代理个数
+ :return: proxy, 形式为: '125.111.146.122:4345'
+ """
+ if self.proxy == "":
+ self.proxy = self.get_random_proxy(spider)
+ else:
+ ip = {"http": "http://" + str(self.proxy)}
+ r = requests.get(spider.settings.get("TEST_PAGE"), proxies=ip, timeout=10)
+ if r.status_code == 200:
+ #'window.location.href'等等...字段是封ip页面开头有的元素
+ if not "window.location.href" in r.text[0:50]:
+ logging.info("=====代理通过测试, 继续使用该ip: {}=====".format(self.proxy))
+ else:
+ self.proxy = self.get_random_proxy(spider)
+ else:
+ self.proxy = self.get_random_proxy(spider)
+ return self.proxy
+
+ def process_request(self, request, spider):
+ """
+ scrapy.middlewares模板的方法
+ 使用代理对要爬取的网页request
+ """
+ proxy = self.get_proxy(spider)
+ if proxy:
+ self.logger.debug('======' + '使用代理 ' + str(proxy) + "======")
+ request.meta['proxy'] = 'https://{proxy}'.format(proxy=proxy)
+
+ def process_response(self, request, response, spider):
+ """
+ scrapy.middlewares模板的方法
+ 使用代理对要爬取的网页request失败时, 重新使用代理爬取
+ """
+ if response.status != 200:
+ self.logger.info("=====使用代理ip request网页获得失败response, 重新获取代理ip=====")
+ request.meta['proxy'] = 'https://{proxy}'.format(proxy=self.get_random_proxy(spider))
+ return request
+ return response
\ No newline at end of file
diff --git a/jdSkuSpider/jdSkuSpider/pipelines.py b/jdSkuSpider/jdSkuSpider/pipelines.py
new file mode 100644
index 0000000..e79da1b
--- /dev/null
+++ b/jdSkuSpider/jdSkuSpider/pipelines.py
@@ -0,0 +1,14 @@
+# Define your item pipelines here
+#
+# Don't forget to add your pipeline to the ITEM_PIPELINES setting
+# See: https://docs.scrapy.org/en/latest/topics/item-pipeline.html
+
+
+# useful for handling different item types with a single interface
+from itemadapter import ItemAdapter
+
+
+class JdskuspiderPipeline:
+ def process_item(self, item, spider):
+ print(item)
+ return item
diff --git a/jdSkuSpider/jdSkuSpider/settings.py b/jdSkuSpider/jdSkuSpider/settings.py
new file mode 100644
index 0000000..9907e3c
--- /dev/null
+++ b/jdSkuSpider/jdSkuSpider/settings.py
@@ -0,0 +1,160 @@
+# Scrapy settings for jdSkuSpider project
+#
+# For simplicity, this file contains only settings considered important or
+# commonly used. You can find more settings consulting the documentation:
+#
+# https://docs.scrapy.org/en/latest/topics/settings.html
+# https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
+# https://docs.scrapy.org/en/latest/topics/spider-middleware.html
+
+BOT_NAME = 'jdSkuSpider'
+
+SPIDER_MODULES = ['jdSkuSpider.spiders']
+NEWSPIDER_MODULE = 'jdSkuSpider.spiders'
+
+#代理商提供的代理网址
+PROXY_SERVER_URL = 'https://h.shanchendaili.com/api.html?action=get_ip&key=HU015c86520413222339Rp2a&time=10&count=1&protocol=http&type=text&textSep=1&only=1'
+#用来测试当前的代理ip是否被封禁
+TEST_PAGE = 'https://item.jd.com/100017846659.html'
+#不去重(True代表不去重, False代表去重)
+DONT_FILTER = True
+
+REDIS_HOST = '120.24.87.40'
+REDIS_PORT = '6379'
+REDIS_DB = 1
+REDIS_PARAMS = {
+ 'password': 'Guet@207',
+}
+# 使用scrapy_redis中的调度器, 即保证每台主机爬取的URL地址都不同的Scheduler
+SCHEDULER = 'scrapy_redis.scheduler.Scheduler'
+# 配置scrapy使用的去重类, 即RFPDupeFilter
+DUPEFILTER_CLASS = 'scrapy_redis.dupefilter.RFPDupeFilter'
+# 序列化
+SCHEDULER_SERIALIZER = "scrapy_redis.picklecompat"
+#自动限速(控制爬取速度,降低对方服务器压力)
+AUTOTHROTTLE_ENABLED = True
+
+mongodb = {
+ 'host': '120.24.87.40',
+ 'port': 27017,
+ 'username': "admin",
+ 'password': "123456"
+}
+
+
+cookies = {
+ 'shshshfpa': '88442a32-4008-3016-2ed4-5f00ba6e02a6-1583306994',
+ '__jdu': '1645417385963897370071',
+ 'shshshfpb': 'eKzbp55ekVbG%2BmXNii7FmnA%3D%3D',
+ 'unpl': 'JF8EAKpnNSttC0hdDR9XGhMQTw5XW15YGURUPDQCVFwIHFEHGQoSExZ7XlVdXhRKFR9vZxRXXlNKUQ4fBCsSE3tdVV9cD0gVBWduNWRtW0tkBCsCHBcUTl1SXFQMQxABZm8DVltZSlIFKzIcEhl7bWRbXQlKFQVpZAVXbVl7VgQaAB8XFEJcU24cZk4XAmZlSFRaXU9RBR0AEhYYTF9dVlsKTRYCaWc1VlReQ1I1GA',
+ '__jdv': '76161171|baidu|-|organic|notset|1648984819662',
+ 'areaId': '20',
+ 'PCSYCityID': 'CN_450000_450300_0',
+ 'ipLoc-djd': '20-1726-22884-51455',
+ 'pinId': 'bxSvmv8CNc-KKJVv2AYoCLV9-x-f3wj7',
+ 'pin': 'jd_701eaef2a29ff',
+ 'unick': '%E6%9D%9C%E6%92%B0%E4%B8%AD%E7%9A%84%E6%9C%AA%E5%90%8D',
+ '_tp': 'Wy5hpT1Zse8ScnmqROf6D38%2BJ8IK3ESqvwXymUySsLE%3D',
+ '_pst': 'jd_701eaef2a29ff',
+ 'shshshfp': '9dc45f7c100e4d56fc0ddb7d96bc59ab',
+ '__jdc': '122270672',
+ '__jda': '122270672.1645417385963897370071.1645417385.1649430078.1649491583.20',
+ 'thor': 'FC76D1F441FDD23810222D65B21A1E62936594BACBBD52CF88EB830809C78B7F75DEEDA34458FE020C54AF1DD6E55F389B2063BCCBBD829B977631DD6FB67A17BA374FEFAA00AF1C8264A11F080FA449884B327D73A31031D1F35232730745A6BD1570FDB90E15A4002FCBF4C8CDED1F588BFA29B2272823A7263C9A88F289B84E2075F1A710BED202A651BD7ABBC09D354497FAFBB4A0A7CBDC9590803F6162',
+ 'ceshi3.com': '000',
+ 'token': '5a5e7384ead314efe3237efb8d9825fb,3,916384',
+ '__tk': 'OINnrcq4NDN5NiuEqcrdriKiOcJ5sINEsca4rfKiqIhgNLbhOIN4sG,3,916384',
+ 'ip_cityCode': '1726',
+ 'wlfstk_smdl': 'xrr3qwmzs7zoj7y6kbt5nfkai2clqo2n',
+ 'shshshsID': '3c84311b6180b15c5bf06ba762b90ce2_7_1649491714829',
+ '__jdb': '122270672.15.1645417385963897370071|20.1649491583',
+ '3AB9D23F7A4B3C9B': '3WE3SSBAN2EJKLE3VP6ZK2I4UOCXTYVZTD7O46KFL2S7J2UVXVZ7IJGBJKC4S3RAWL2DRAMRLPN63TK3LHWTA5JVQQ',
+}
+
+# Crawl responsibly by identifying yourself (and your website) on the user-agent
+#USER_AGENT = 'jdSkuSpider (+http://www.yourdomain.com)'
+
+# Obey robots.txt rules
+ROBOTSTXT_OBEY = False
+
+# Configure maximum concurrent requests performed by Scrapy (default: 16)
+#CONCURRENT_REQUESTS = 32
+
+# Configure a delay for requests for the same website (default: 0)
+# See https://docs.scrapy.org/en/latest/topics/settings.html#download-delay
+# See also autothrottle settings and docs
+DOWNLOAD_DELAY = 1
+# The download delay setting will honor only one of:
+#CONCURRENT_REQUESTS_PER_DOMAIN = 16
+#CONCURRENT_REQUESTS_PER_IP = 16
+
+# Disable cookies (enabled by default)
+#COOKIES_ENABLED = False
+
+# Disable Telnet Console (enabled by default)
+#TELNETCONSOLE_ENABLED = False
+
+# Override the default request headers:
+DEFAULT_REQUEST_HEADERS = {
+ 'authority': 'item.jd.com',
+ 'accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.9',
+ 'accept-language': 'zh,zh-CN;q=0.9',
+ 'cache-control': 'max-age=0',
+ # Requests sorts cookies= alphabetically
+ # 'cookie': 'shshshfpa=88442a32-4008-3016-2ed4-5f00ba6e02a6-1583306994; __jdu=1645417385963897370071; shshshfpb=eKzbp55ekVbG%2BmXNii7FmnA%3D%3D; unpl=JF8EAKpnNSttC0hdDR9XGhMQTw5XW15YGURUPDQCVFwIHFEHGQoSExZ7XlVdXhRKFR9vZxRXXlNKUQ4fBCsSE3tdVV9cD0gVBWduNWRtW0tkBCsCHBcUTl1SXFQMQxABZm8DVltZSlIFKzIcEhl7bWRbXQlKFQVpZAVXbVl7VgQaAB8XFEJcU24cZk4XAmZlSFRaXU9RBR0AEhYYTF9dVlsKTRYCaWc1VlReQ1I1GA; __jdv=76161171|baidu|-|organic|notset|1648984819662; areaId=20; PCSYCityID=CN_450000_450300_0; ipLoc-djd=20-1726-22884-51455; pinId=bxSvmv8CNc-KKJVv2AYoCLV9-x-f3wj7; pin=jd_701eaef2a29ff; unick=%E6%9D%9C%E6%92%B0%E4%B8%AD%E7%9A%84%E6%9C%AA%E5%90%8D; _tp=Wy5hpT1Zse8ScnmqROf6D38%2BJ8IK3ESqvwXymUySsLE%3D; _pst=jd_701eaef2a29ff; shshshfp=9dc45f7c100e4d56fc0ddb7d96bc59ab; __jdc=122270672; __jda=122270672.1645417385963897370071.1645417385.1649430078.1649491583.20; thor=FC76D1F441FDD23810222D65B21A1E62936594BACBBD52CF88EB830809C78B7F75DEEDA34458FE020C54AF1DD6E55F389B2063BCCBBD829B977631DD6FB67A17BA374FEFAA00AF1C8264A11F080FA449884B327D73A31031D1F35232730745A6BD1570FDB90E15A4002FCBF4C8CDED1F588BFA29B2272823A7263C9A88F289B84E2075F1A710BED202A651BD7ABBC09D354497FAFBB4A0A7CBDC9590803F6162; ceshi3.com=000; token=5a5e7384ead314efe3237efb8d9825fb,3,916384; __tk=OINnrcq4NDN5NiuEqcrdriKiOcJ5sINEsca4rfKiqIhgNLbhOIN4sG,3,916384; ip_cityCode=1726; wlfstk_smdl=xrr3qwmzs7zoj7y6kbt5nfkai2clqo2n; shshshsID=3c84311b6180b15c5bf06ba762b90ce2_7_1649491714829; __jdb=122270672.15.1645417385963897370071|20.1649491583; 3AB9D23F7A4B3C9B=3WE3SSBAN2EJKLE3VP6ZK2I4UOCXTYVZTD7O46KFL2S7J2UVXVZ7IJGBJKC4S3RAWL2DRAMRLPN63TK3LHWTA5JVQQ',
+ 'sec-ch-ua': '" Not A;Brand";v="99", "Chromium";v="100", "Google Chrome";v="100"',
+ 'sec-ch-ua-mobile': '?0',
+ 'sec-ch-ua-platform': '"Windows"',
+ 'sec-fetch-dest': 'document',
+ 'sec-fetch-mode': 'navigate',
+ 'sec-fetch-site': 'none',
+ 'sec-fetch-user': '?1',
+ 'upgrade-insecure-requests': '1',
+ 'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/100.0.4896.75 Safari/537.36',
+}
+
+# Enable or disable spider middlewares
+# See https://docs.scrapy.org/en/latest/topics/spider-middleware.html
+#SPIDER_MIDDLEWARES = {
+# 'jdSkuSpider.middlewares.JdskuspiderSpiderMiddleware': 543,
+#}
+
+# Enable or disable downloader middlewares
+# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html
+DOWNLOADER_MIDDLEWARES = {
+ 'jdSkuSpider.middlewares.ProxyMiddleWare':542,
+ 'jdSkuSpider.middlewares.JdskuspiderDownloaderMiddleware': 543,
+}
+
+# Enable or disable extensions
+# See https://docs.scrapy.org/en/latest/topics/extensions.html
+#EXTENSIONS = {
+# 'scrapy.extensions.telnet.TelnetConsole': None,
+#}
+
+# Configure item pipelines
+# See https://docs.scrapy.org/en/latest/topics/item-pipeline.html
+ITEM_PIPELINES = {
+ 'scrapy_redis.pipelines.RedisPipeline':400,
+ 'jdSkuSpider.pipelines.JdskuspiderPipeline': 300,
+}
+
+# Enable and configure the AutoThrottle extension (disabled by default)
+# See https://docs.scrapy.org/en/latest/topics/autothrottle.html
+#AUTOTHROTTLE_ENABLED = True
+# The initial download delay
+#AUTOTHROTTLE_START_DELAY = 5
+# The maximum download delay to be set in case of high latencies
+#AUTOTHROTTLE_MAX_DELAY = 60
+# The average number of requests Scrapy should be sending in parallel to
+# each remote server
+#AUTOTHROTTLE_TARGET_CONCURRENCY = 1.0
+# Enable showing throttling stats for every response received:
+#AUTOTHROTTLE_DEBUG = False
+
+# Enable and configure HTTP caching (disabled by default)
+# See https://docs.scrapy.org/en/latest/topics/downloader-middleware.html#httpcache-middleware-settings
+#HTTPCACHE_ENABLED = True
+#HTTPCACHE_EXPIRATION_SECS = 0
+#HTTPCACHE_DIR = 'httpcache'
+#HTTPCACHE_IGNORE_HTTP_CODES = []
+#HTTPCACHE_STORAGE = 'scrapy.extensions.httpcache.FilesystemCacheStorage'
diff --git a/jdSkuSpider/jdSkuSpider/spiders/__init__.py b/jdSkuSpider/jdSkuSpider/spiders/__init__.py
new file mode 100644
index 0000000..ebd689a
--- /dev/null
+++ b/jdSkuSpider/jdSkuSpider/spiders/__init__.py
@@ -0,0 +1,4 @@
+# This package will contain the spiders of your Scrapy project
+#
+# Please refer to the documentation for information on how to create and manage
+# your spiders.
diff --git a/jdSkuSpider/jdSkuSpider/spiders/jdsku.py b/jdSkuSpider/jdSkuSpider/spiders/jdsku.py
new file mode 100644
index 0000000..753ee84
--- /dev/null
+++ b/jdSkuSpider/jdSkuSpider/spiders/jdsku.py
@@ -0,0 +1,119 @@
+import scrapy
+import re
+
+import redis
+from scrapy_redis.spiders import RedisSpider
+from pymongo import MongoClient
+
+from ..items import *
+from ..settings import REDIS_HOST,REDIS_PORT,REDIS_DB,REDIS_PARAMS, mongodb
+
+class JdskuSpider(RedisSpider):
+ name = 'jdsku'
+ allowed_domains = ['jd.com']
+ # start_urls = ['https://item.jd.com/100018781645.html#none']
+ redis_key = 'jd:start_urls'
+
+ redis_connection = redis.Redis(
+ host=REDIS_HOST,
+ port=REDIS_PORT,
+ password=REDIS_PARAMS.get('password'),
+ db=REDIS_DB,
+ charset='UTF-8',
+ encoding='UTF-8')
+
+ mongo_connection = MongoClient(
+ host=mongodb.get('host'),
+ port=mongodb.get('port'),
+ username=mongodb.get('username'),
+ password=mongodb.get('password'))
+
+ # 解决AttributeError: 'JdskuSpider' object has no attribute 'make_requests_from_url'
+ def make_requests_from_url(self,url):
+ #dont_filter=True带表不去重, 默认False, 去重
+ return scrapy.Request(url,
+ meta={'url':url}, #将url传给parse
+ dont_filter=self.settings.get("DONT_FILTER"),
+ cookies=self.settings.get('cookies'))
+
+ def parse(self, response):
+
+ sku = response.meta['url']
+ sku_pattern = re.compile("[0-9]+")
+ sku = re.search(sku_pattern, sku).group()
+
+ bitWidth = -1
+ model = -1
+ memoryType = -1
+ memoryCapacity = -1
+ title = response.xpath('//*[@id="parameter-brand"]/li/a/text()').extract_first()
+
+ print("=========== title =================")
+ print(response.xpath('/html'))
+ print("=========== title =================")
+ li_list = response.xpath('//*[@id="detail"]/div[2]/div[1]/div[1]/ul[2]/li')
+ print("***********************************************")
+ for li in li_list:
+ value = li.xpath('@title').re(".*")[0]
+ key = li.re(">.*<")[0][1:-1].replace(":", ":").replace(": {}".format(value), "").replace(":{}".format(value), "")
+ print({key:value})
+ if key == '显存位宽':
+ bitWidth = value
+ elif key =='显卡型号':
+ model = value
+ elif key =='显存类型':
+ memoryType = value
+ elif key == '显存容量':
+ memoryCapacity = value
+ elif key == '商品名称':
+ title = value
+ print("***********************************************")
+
+ item = JdskuspiderItem(
+ sku=sku,
+ title=title,
+ model=model,
+ memoryType=memoryType,
+ memoryCapacity=memoryCapacity,
+ bitWidth=bitWidth
+ )
+ print("=========== 现在的sku ==========")
+ print(sku)
+
+ if bitWidth==-1 and memoryType==-1 and memoryCapacity==-1:
+ print("========== no insert into mongodb ==============")
+ if "window.location.href='https://passport.jd.com" in response.xpath('/html').xpath('string(.)').extract_first():
+ print("window.location.href页面")
+ print("sku重发redis")
+ self.redis_connection.lpush("jd:start_urls", 'https://item.jd.com/{}.html'.format(sku))
+ else:
+ print("非显卡商品, insert -1")
+ mongoDB = self.mongo_connection['admin']
+ mongoCollection = mongoDB['jd']
+ mongoCollection.find_one_and_update(
+ filter={'sku': sku},
+ update={'$set': {
+ 'title': title,
+ 'model': model,
+ 'memoryType': memoryType,
+ 'memoryCapacity': memoryCapacity,
+ 'bitWidth': bitWidth
+ }}
+ )
+ else:
+ print("========== insert into mongodb ==============")
+ mongoDB = self.mongo_connection['admin']
+ mongoCollection = mongoDB['jd']
+ mongoCollection.find_one_and_update(
+ filter={'sku':sku},
+ update={'$set':{
+ 'title':title,
+ 'model':model,
+ 'memoryType':memoryType,
+ 'memoryCapacity':memoryCapacity,
+ 'bitWidth': bitWidth
+ }}
+ )
+
+ yield item
+
diff --git a/jdSkuSpider/scrapy.cfg b/jdSkuSpider/scrapy.cfg
new file mode 100644
index 0000000..6111bf9
--- /dev/null
+++ b/jdSkuSpider/scrapy.cfg
@@ -0,0 +1,11 @@
+# Automatically created by: scrapy startproject
+#
+# For more information about the [deploy] section see:
+# https://scrapyd.readthedocs.io/en/latest/deploy.html
+
+[settings]
+default = jdSkuSpider.settings
+
+[deploy]
+#url = http://localhost:6800/
+project = jdSkuSpider