构建mysql数据表
第一版：
第二版：
第三版：
构建mysql数据表问题：使用SQL alchemy时，非主键不能设置为自增长，但是我想让这个非主键仅仅是为了作为索引，autoincrement=True无效，该怎么实现让它自增长呢？
from sqlalchemy import String,Integer,Text,Column
from sqlalchemy import create_engine
from sqlalchemy.orm import sessionmaker
from sqlalchemy.orm import scoped_session
from sqlalchemy.ext.declarative import declarative_base
engine=create_engine(
"mysql+pymysql://root:root@127.0.0.1:3306/jdcrawl?charset=utf8",
pool_size=200,
max_overflow=300,
echo=False
)
BASE=declarative_base() # 实例化
class Goods(BASE):
__tablename__='goods'
id=Column(Integer(),primary_key=True,autoincrement=True)
sku_id = Column(String(200), primary_key=True, autoincrement=False)
name=Column(String(200))
price=Column(String(200))
comments_num=Column(Integer)
shop=Column(String(200))
link=Column(String(200))
class Comments(BASE):
__tablename__='comments'
id=Column(Integer(),primary_key=True,autoincrement=True,nullable=False)
sku_id=Column(String(200),primary_key=True,autoincrement=False)
comments=Column(Text())
BASE.metadata.create_all(engine)
Session=sessionmaker(engine)
sess_db=scoped_session(Session)
第一版：
问题：爬取几页评论后就会爬取到空白页，添加refer后依旧如此
尝试解决方法：将获取评论地方的线程池改为单线程，并每获取一页评论增加延时1s
# 不能爬太快！！！不然获取不到评论
from bs4 import BeautifulSoup
import requests
from urllib import parse
import csv,json,re
import threadpool
import time
from jd_mysqldb import Goods,Comments,sess_db
headers={
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
'Cookie': '__jdv=76161171|baidu|-|organic|%25E4%25BA%25AC%25E4%25B8%259C|1613711947911; __jdu=16137119479101182770449; areaId=7; ipLoc-djd=7-458-466-0; PCSYCityID=CN_410000_0_0; shshshfpa=07383463-032f-3f99-9d40-639cb57c6e28-1613711950; shshshfpb=u8S9UvxK66gfIbM1mUNrIOg%3D%3D; user-key=153f6b4d-0704-4e56-82b6-8646f3f0dad4; cn=0; shshshfp=9a88944b34cb0ff3631a0a95907b75eb; __jdc=122270672; 3AB9D23F7A4B3C9B=SEELVNXBPU7OAA3UX5JTKR5LQADM5YFJRKY23Z6HDBU4OT2NWYGX525CKFFVHTRDJ7Q5DJRMRZQIQJOW5GVBY43XVI; jwotest_product=99; __jda=122270672.16137119479101182770449.1613711948.1613738165.1613748918.4; JSESSIONID=C06EC8D2E9384D2628AE22B1A6F9F8FC.s1; shshshsID=ab2ca3143928b1b01f6c5b71a15fcebe_5_1613750374847; __jdb=122270672.5.16137119479101182770449|4.1613748918',
'Referer': 'https://www.jd.com/'
}
num=0 # 商品数量
comments_num=0 # 评论数量
# 获取商品信息和SkuId
def getIndex(url):
session=requests.Session()
session.headers=headers
global num
res=session.get(url,headers=headers)
print(res.status_code)
res.encoding=res.apparent_encoding
soup=BeautifulSoup(res.text,'lxml')
items=soup.select('li.gl-item')
for item in items[:3]: # 爬取3个商品测试
title=item.select_one('.p-name a em').text.strip().replace(' ','')
price=item.select_one('.p-price strong').text.strip().replace('￥','')
try:
shop=item.select_one('.p-shopnum a').text.strip() # 获取书籍时查找店铺的方法
except:
shop=item.select_one('.p-shop a').text.strip() # 获取其他商品时查找店铺的方法
link=parse.urljoin('https://',item.select_one('.p-img a').get('href'))
SkuId=re.search('\d+',link).group()
comments_num=getCommentsNum(SkuId,session)
print(SkuId,title, price, shop, link, comments_num)
print("开始存入数据库...")
try:
IntoGoods(SkuId,title, price, shop, link, comments_num)
except Exception as e:
print(e)
sess_db.rollback()
num += 1
print("正在获取评论...")
# 获取评论总页数
url1 = f'https://club.jd.com/comment/productPageComments.action?productId={SkuId}&score=0&sortType=5&page=0&pageSize=10'
headers['Referer'] = f'https://item.jd.com/{SkuId}.html'
headers['Connection']='keep-alive'
res2 = session.get(url1,headers=headers)
res2.encoding = res2.apparent_encoding
json_data = json.loads(res2.text)
max_page = json_data['maxPage'] # 经测试最多可获取100页评论，每页10条
args = []
for i in range(0, max_page):
# 使用此链接获取评论得到的为json格式
url2 = f'https://club.jd.com/comment/productPageComments.action?productId={SkuId}&score=0&sortType=5&page={i}&pageSize=10'
# 使用此链接获取评论得到的非json格式，需要提取
# url2_2=f'https://club.jd.com/comment/productPageComments.action?callback=jQuery9287224&productId={SkuId}&score=0&sortType=5&page={i}&pageSize=10'
args.append(([session,SkuId,url2], None))
pool2 = threadpool.ThreadPool(2) # 2个线程
reque2 = threadpool.makeRequests(getComments,args) # 创建任务
for r in reque2:
pool2.putRequest(r) # 提交任务到线程池
pool2.wait()
# 获取评论总数量
def getCommentsNum(SkuId,sess):
headers['Referer']=f'https://item.jd.com/{SkuId}.html'
url=f'https://club.jd.com/comment/productCommentSummaries.action?referenceIds={SkuId}'
res=sess.get(url,headers=headers)
try:
res.encoding=res.apparent_encoding
json_data=json.loads(res.text) # json格式转为字典
num=json_data['CommentsCount'][0]['CommentCount']
return num
except:
return 'Error'
# 获取评论
def getComments(sess,SkuId,url2):
global comments_num
print(url2)
headers['Referer'] = f'https://item.jd.com/{SkuId}.html'
res2 = sess.get(url2,headers=headers)
res2.encoding='gbk'
json_data=res2.text
'''
# 如果用url2_2需要进行如下操作提取json
start = res2.text.find('jQuery9287224(') + len('jQuery9287224(')
end = res2.text.find(');')
json_data=res2.text[start:end]
'''
dict_data = json.loads(json_data)
try:
comments=dict_data['comments']
for item in comments:
comment=item['content'].replace('\n','')
# print(comment)
comments_num+=1
try:
IntoComments(SkuId,comment)
except Exception as e:
print(e)
sess_db.rollback()
except:
pass
# 商品信息入库
def IntoGoods(SkuId,title, price, shop, link, comments_num):
goods_data=Goods(
sku_id=SkuId,
name=title,
price=price,
comments_num=comments_num,
shop=shop,
link=link
)
sess_db.add(goods_data)
sess_db.commit()
# 评论入库
def IntoComments(SkuId,comment):
comments_data=Comments(
sku_id=SkuId,
comments=comment
)
sess_db.add(comments_data)
sess_db.commit()
if __name__ == '__main__':
start_time=time.time()
urls=[]
KEYWORD=parse.quote(input("请输入要查询的关键词："))
for i in range(1,2): # 爬取一页进行测试
url=f'https://search.jd.com/Search?keyword={KEYWORD}&wq={KEYWORD}&page={i}'
urls.append(([url,],None)) # threadpool要求必须这样写
pool=threadpool.ThreadPool(2) # 2个线程的线程池
reque=threadpool.makeRequests(getIndex,urls) # 创建任务
for r in reque:
pool.putRequest(r) # 向线程池提交任务
pool.wait() # 等待所有任务执行完毕
print("共获取{}件商品，获得{}条评论，耗时{}".format(num,comments_num,time.time()-start_time))
第二版：
经测试，的确不会出现空白页的情况
进一步优化：同时获取2个以上商品的评论
# 不能爬太快！！！不然获取不到评论
from bs4 import BeautifulSoup
import requests
from urllib import parse
import csv,json,re
import threadpool
import time
from jd_mysqldb import Goods,Comments,sess_db
headers={
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
'Cookie': '__jdv=76161171|baidu|-|organic|%25E4%25BA%25AC%25E4%25B8%259C|1613711947911; __jdu=16137119479101182770449; areaId=7; ipLoc-djd=7-458-466-0; PCSYCityID=CN_410000_0_0; shshshfpa=07383463-032f-3f99-9d40-639cb57c6e28-1613711950; shshshfpb=u8S9UvxK66gfIbM1mUNrIOg%3D%3D; user-key=153f6b4d-0704-4e56-82b6-8646f3f0dad4; cn=0; shshshfp=9a88944b34cb0ff3631a0a95907b75eb; __jdc=122270672; 3AB9D23F7A4B3C9B=SEELVNXBPU7OAA3UX5JTKR5LQADM5YFJRKY23Z6HDBU4OT2NWYGX525CKFFVHTRDJ7Q5DJRMRZQIQJOW5GVBY43XVI; jwotest_product=99; __jda=122270672.16137119479101182770449.1613711948.1613738165.1613748918.4; JSESSIONID=C06EC8D2E9384D2628AE22B1A6F9F8FC.s1; shshshsID=ab2ca3143928b1b01f6c5b71a15fcebe_5_1613750374847; __jdb=122270672.5.16137119479101182770449|4.1613748918',
'Referer': 'https://www.jd.com/'
}
num=0 # 商品数量
comments_num=0 # 评论数量
# 获取商品信息和SkuId
def getIndex(url):
session=requests.Session()
session.headers=headers
global num
res=session.get(url,headers=headers)
print(res.status_code)
res.encoding=res.apparent_encoding
soup=BeautifulSoup(res.text,'lxml')
items=soup.select('li.gl-item')
for item in items[:2]: # 爬取2个商品测试
title=item.select_one('.p-name a em').text.strip().replace(' ','')
price=item.select_one('.p-price strong').text.strip().replace('￥','')
try:
shop=item.select_one('.p-shopnum a').text.strip() # 获取书籍时查找店铺的方法
except:
shop=item.select_one('.p-shop a').text.strip() # 获取其他商品时查找店铺的方法
link=parse.urljoin('https://',item.select_one('.p-img a').get('href'))
SkuId=re.search('\d+',link).group()
headers['Referer'] = f'https://item.jd.com/{SkuId}.html'
headers['Connection'] = 'keep-alive'
comments_num=getCommentsNum(SkuId,session)
print(SkuId,title, price, shop, link, comments_num)
print("开始将商品存入数据库...")
try:
IntoGoods(SkuId,title, price, shop, link, comments_num)
except Exception as e:
print(e)
sess_db.rollback()
num += 1
print("正在获取评论...")
# 获取评论总页数
url1 = f'https://club.jd.com/comment/productPageComments.action?productId={SkuId}&score=0&sortType=5&page=0&pageSize=10'
res2 = session.get(url1,headers=headers)
res2.encoding = res2.apparent_encoding
json_data = json.loads(res2.text)
max_page = json_data['maxPage'] # 经测试最多可获取100页评论，每页10条
print("{}评论共{}页".format(SkuId,max_page))
if max_page==0:
IntoComments(SkuId,'0')
else:
for i in range(0, max_page):
# 使用此链接获取评论得到的为json格式
url2 = f'https://club.jd.com/comment/productPageComments.action?productId={SkuId}&score=0&sortType=5&page={i}&pageSize=10'
# 使用此链接获取评论得到的非json格式，需要提取
# url2_2=f'https://club.jd.com/comment/productPageComments.action?callback=jQuery9287224&productId={SkuId}&score=0&sortType=5&page={i}&pageSize=10'
print("开始获取第{}页评论:{}".format(i+1,url2) )
getComments(session,SkuId,url2)
time.sleep(1)
# 获取评论总数量
def getCommentsNum(SkuId,sess):
url=f'https://club.jd.com/comment/productCommentSummaries.action?referenceIds={SkuId}'
res=sess.get(url)
try:
res.encoding=res.apparent_encoding
json_data=json.loads(res.text) # json格式转为字典
num=json_data['CommentsCount'][0]['CommentCount']
return num
except:
return 'Error'
# 获取评论
def getComments(sess,SkuId,url2):
global comments_num
res2 = sess.get(url2)
res2.encoding=res2.apparent_encoding
json_data=res2.text
'''
# 如果用url2_2需要进行如下操作提取json
start = res2.text.find('jQuery9287224(') + len('jQuery9287224(')
end = res2.text.find(');')
json_data=res2.text[start:end]
'''
dict_data = json.loads(json_data)
comments=dict_data['comments']
for item in comments:
comment=item['content'].replace('\n','')
# print(comment)
comments_num+=1
try:
IntoComments(SkuId,comment)
except Exception as e:
print(e)
sess_db.rollback()
# 商品信息入库
def IntoGoods(SkuId,title, price, shop, link, comments_num):
goods_data=Goods(
sku_id=SkuId,
name=title,
price=price,
comments_num=comments_num,
shop=shop,
link=link
)
sess_db.add(goods_data)
sess_db.commit()
# 评论入库
def IntoComments(SkuId,comment):
comments_data=Comments(
sku_id=SkuId,
comments=comment
)
sess_db.add(comments_data)
sess_db.commit()
if __name__ == '__main__':
start_time=time.time()
urls=[]
KEYWORD=parse.quote(input("请输入要查询的关键词："))
for i in range(1,2): # 爬取一页进行测试
url=f'https://search.jd.com/Search?keyword={KEYWORD}&wq={KEYWORD}&page={i}'
urls.append(([url,],None)) # threadpool要求必须这样写
pool=threadpool.ThreadPool(2) # 2个线程的线程池
reque=threadpool.makeRequests(getIndex,urls) # 创建任务
for r in reque:
pool.putRequest(r) # 向线程池提交任务
pool.wait() # 等待所有任务执行完毕
print("共获取{}件商品，获得{}条评论，耗时{}".format(num,comments_num,time.time()-start_time))
第三版：
。。。。不行，又出现空白页了
# 不能爬太快！！！不然获取不到评论
from bs4 import BeautifulSoup
import requests
from urllib import parse
import csv,json,re
import threadpool
import time
from jd_mysqldb import Goods,Comments,sess_db
headers={
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/86.0.4240.198 Safari/537.36',
'Cookie': '__jdv=76161171|baidu|-|organic|%25E4%25BA%25AC%25E4%25B8%259C|1613711947911; __jdu=16137119479101182770449; areaId=7; ipLoc-djd=7-458-466-0; PCSYCityID=CN_410000_0_0; shshshfpa=07383463-032f-3f99-9d40-639cb57c6e28-1613711950; shshshfpb=u8S9UvxK66gfIbM1mUNrIOg%3D%3D; user-key=153f6b4d-0704-4e56-82b6-8646f3f0dad4; cn=0; shshshfp=9a88944b34cb0ff3631a0a95907b75eb; __jdc=122270672; 3AB9D23F7A4B3C9B=SEELVNXBPU7OAA3UX5JTKR5LQADM5YFJRKY23Z6HDBU4OT2NWYGX525CKFFVHTRDJ7Q5DJRMRZQIQJOW5GVBY43XVI; jwotest_product=99; __jda=122270672.16137119479101182770449.1613711948.1613738165.1613748918.4; JSESSIONID=C06EC8D2E9384D2628AE22B1A6F9F8FC.s1; shshshsID=ab2ca3143928b1b01f6c5b71a15fcebe_5_1613750374847; __jdb=122270672.5.16137119479101182770449|4.1613748918',
'Referer': 'https://www.jd.com/'
}
num=0 # 商品数量
comments_num=0 # 评论数量
# 获取商品信息和SkuId
def getIndex(url):
global num
skuids=[]
session=requests.Session()
session.headers=headers
res=session.get(url,headers=headers)
print(res.status_code)
res.encoding=res.apparent_encoding
soup=BeautifulSoup(res.text,'lxml')
items=soup.select('li.gl-item')
for item in items[:3]: # 爬取3个商品测试
title=item.select_one('.p-name a em').text.strip().replace(' ','')
price=item.select_one('.p-price strong').text.strip().replace('￥','')
try:
shop=item.select_one('.p-shopnum a').text.strip() # 获取书籍时查找店铺的方法
except:
shop=item.select_one('.p-shop a').text.strip() # 获取其他商品时查找店铺的方法
link=parse.urljoin('https://',item.select_one('.p-img a').get('href'))
SkuId=re.search('\d+',link).group()
skuids.append(([SkuId,session],None))
headers['Referer'] = f'https://item.jd.com/{SkuId}.html'
headers['Connection'] = 'keep-alive'
comments_num=getCommentsNum(SkuId,session) # 评论数量
print(SkuId,title, price, shop, link, comments_num)
print("开始将商品存入数据库...")
try:
IntoGoods(SkuId,title, price, shop, link, comments_num)
except Exception as e:
print(e)
sess_db.rollback()
num += 1
print("开始获取评论并存入数据库...")
pool2=threadpool.ThreadPool(3) # 可同时获取3个商品的评论
task=threadpool.makeRequests(getComments,skuids)
for r in task:
pool2.putRequest(r)
pool2.wait()
# 获取评论
def getComments(SkuId,sess):
# 获取评论总页数
url1 = f'https://club.jd.com/comment/productPageComments.action?productId={SkuId}&score=0&sortType=5&page=0&pageSize=10'
res2 = sess.get(url1, headers=headers)
res2.encoding = res2.apparent_encoding
json_data = json.loads(res2.text)
max_page = json_data['maxPage'] # 经测试最多可获取100页评论，每页10条
print("{}评论共{}页".format(SkuId, max_page))
if max_page == 0:
IntoComments(SkuId, '0')
else:
for i in range(0, max_page):
# 使用此链接获取评论得到的为json格式
url2 = f'https://club.jd.com/comment/productPageComments.action?productId={SkuId}&score=0&sortType=5&page={i}&pageSize=10'
# 使用此链接获取评论得到的非json格式，需要提取
# url2_2=f'https://club.jd.com/comment/productPageComments.action?callback=jQuery9287224&productId={SkuId}&score=0&sortType=5&page={i}&pageSize=10'
print("开始获取第{}页评论:{}".format(i + 1, url2))
getComments_one(sess, SkuId, url2)
time.sleep(1)
# 获取评论总数量
def getCommentsNum(SkuId,sess):
url=f'https://club.jd.com/comment/productCommentSummaries.action?referenceIds={SkuId}'
res=sess.get(url)
try:
res.encoding=res.apparent_encoding
json_data=json.loads(res.text) # json格式转为字典
num=json_data['CommentsCount'][0]['CommentCount']
return num
except:
return 'Error'
# 获取单个评论
def getComments_one(sess,SkuId,url2):
global comments_num
res2 = sess.get(url2)
res2.encoding=res2.apparent_encoding
json_data=res2.text
'''
# 如果用url2_2需要进行如下操作提取json
start = res2.text.find('jQuery9287224(') + len('jQuery9287224(')
end = res2.text.find(');')
json_data=res2.text[start:end]
'''
dict_data = json.loads(json_data)
comments=dict_data['comments']
for item in comments:
comment=item['content'].replace('\n','')
# print(comment)
comments_num+=1
try:
IntoComments(SkuId,comment)
except Exception as e:
print(e)
print("rollback！")
sess_db.rollback()
# 商品信息入库
def IntoGoods(SkuId,title, price, shop, link, comments_num):
goods_data=Goods(
sku_id=SkuId,
name=title,
price=price,
comments_num=comments_num,
shop=shop,
link=link
)
sess_db.add(goods_data)
sess_db.commit()
# 评论入库
def IntoComments(SkuId,comment):
comments_data=Comments(
sku_id=SkuId,
comments=comment
)
sess_db.add(comments_data)
sess_db.commit()
if __name__ == '__main__':
start_time=time.time()
urls=[]
KEYWORD=parse.quote(input("请输入要查询的关键词："))
for i in range(1,2): # 爬取一页进行测试
url=f'https://search.jd.com/Search?keyword={KEYWORD}&wq={KEYWORD}&page={i}'
urls.append(([url,],None)) # threadpool要求必须这样写
pool=threadpool.ThreadPool(2) # 2个线程的线程池
reque=threadpool.makeRequests(getIndex,urls) # 创建任务
for r in reque:
pool.putRequest(r) # 向线程池提交任务
pool.wait() # 等待所有任务执行完毕
print("共获取{}件商品，获得{}条评论，耗时{}".format(num,comments_num,time.time()-start_time))
总结：
京东的反爬有点强，如果不想爬取到空白页，只能用单线程加延时一条一条的爬
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