Reducing the amount of List in a WebScraper












0














At the moment, I'm learning and experimenting on the use of web scraping content from different varieties of web pages. But I've come across a common smelly code among several of my applications. I have many repetitive List that has data being append to them.



from requests import get
import requests
import json
from time import sleep
import pandas as pd

url = 'https://shopee.com.my/api/v2/flash_sale/get_items?offset=0&limit=16&filter_soldout=true'
list_name =
list_price =
list_discount =
list_stock =

response = get(url)
json_data = response.json()


def getShockingSales():
index = 0
if response.status_code is 200:
print('Api Satus: ' + 'OK')
else:
print('API unable to access')
total_flashsale = 15
for i in range(index, total_flashsale):
print('Getting data from requested API... please wait a few seconds')
while i <= total_flashsale:
flash_name = json_data['data']['items'][i]['name']
flash_price = json_data['data']['items'][i]['price']
flash_discount = json_data['data']['items'][i]['discount']
flash_stock = json_data['data']['items'][i]['stock']
list_name.append(flash_name)
list_price.append(flash_price)
list_discount.append(flash_discount)
list_stock.append(flash_stock)
sleep(0.5)
i += 1
if i > total_flashsale:
print('No more avaialble items')
return

getShockingSales()
new_panda = pd.DataFrame({'Name': list_name, 'Price': list_price,
'Discount': list_discount, 'Stock Available': list_stock})

print('Converting to Panda Frame....')
sleep(5)
print(new_panda)


this is from only one file, would one list be more than sufficient? Am I approaching this wrongly.









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    At the moment, I'm learning and experimenting on the use of web scraping content from different varieties of web pages. But I've come across a common smelly code among several of my applications. I have many repetitive List that has data being append to them.



    from requests import get
    import requests
    import json
    from time import sleep
    import pandas as pd

    url = 'https://shopee.com.my/api/v2/flash_sale/get_items?offset=0&limit=16&filter_soldout=true'
    list_name =
    list_price =
    list_discount =
    list_stock =

    response = get(url)
    json_data = response.json()


    def getShockingSales():
    index = 0
    if response.status_code is 200:
    print('Api Satus: ' + 'OK')
    else:
    print('API unable to access')
    total_flashsale = 15
    for i in range(index, total_flashsale):
    print('Getting data from requested API... please wait a few seconds')
    while i <= total_flashsale:
    flash_name = json_data['data']['items'][i]['name']
    flash_price = json_data['data']['items'][i]['price']
    flash_discount = json_data['data']['items'][i]['discount']
    flash_stock = json_data['data']['items'][i]['stock']
    list_name.append(flash_name)
    list_price.append(flash_price)
    list_discount.append(flash_discount)
    list_stock.append(flash_stock)
    sleep(0.5)
    i += 1
    if i > total_flashsale:
    print('No more avaialble items')
    return

    getShockingSales()
    new_panda = pd.DataFrame({'Name': list_name, 'Price': list_price,
    'Discount': list_discount, 'Stock Available': list_stock})

    print('Converting to Panda Frame....')
    sleep(5)
    print(new_panda)


    this is from only one file, would one list be more than sufficient? Am I approaching this wrongly.









    share







    New contributor




    Minial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























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      0







      At the moment, I'm learning and experimenting on the use of web scraping content from different varieties of web pages. But I've come across a common smelly code among several of my applications. I have many repetitive List that has data being append to them.



      from requests import get
      import requests
      import json
      from time import sleep
      import pandas as pd

      url = 'https://shopee.com.my/api/v2/flash_sale/get_items?offset=0&limit=16&filter_soldout=true'
      list_name =
      list_price =
      list_discount =
      list_stock =

      response = get(url)
      json_data = response.json()


      def getShockingSales():
      index = 0
      if response.status_code is 200:
      print('Api Satus: ' + 'OK')
      else:
      print('API unable to access')
      total_flashsale = 15
      for i in range(index, total_flashsale):
      print('Getting data from requested API... please wait a few seconds')
      while i <= total_flashsale:
      flash_name = json_data['data']['items'][i]['name']
      flash_price = json_data['data']['items'][i]['price']
      flash_discount = json_data['data']['items'][i]['discount']
      flash_stock = json_data['data']['items'][i]['stock']
      list_name.append(flash_name)
      list_price.append(flash_price)
      list_discount.append(flash_discount)
      list_stock.append(flash_stock)
      sleep(0.5)
      i += 1
      if i > total_flashsale:
      print('No more avaialble items')
      return

      getShockingSales()
      new_panda = pd.DataFrame({'Name': list_name, 'Price': list_price,
      'Discount': list_discount, 'Stock Available': list_stock})

      print('Converting to Panda Frame....')
      sleep(5)
      print(new_panda)


      this is from only one file, would one list be more than sufficient? Am I approaching this wrongly.









      share







      New contributor




      Minial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      At the moment, I'm learning and experimenting on the use of web scraping content from different varieties of web pages. But I've come across a common smelly code among several of my applications. I have many repetitive List that has data being append to them.



      from requests import get
      import requests
      import json
      from time import sleep
      import pandas as pd

      url = 'https://shopee.com.my/api/v2/flash_sale/get_items?offset=0&limit=16&filter_soldout=true'
      list_name =
      list_price =
      list_discount =
      list_stock =

      response = get(url)
      json_data = response.json()


      def getShockingSales():
      index = 0
      if response.status_code is 200:
      print('Api Satus: ' + 'OK')
      else:
      print('API unable to access')
      total_flashsale = 15
      for i in range(index, total_flashsale):
      print('Getting data from requested API... please wait a few seconds')
      while i <= total_flashsale:
      flash_name = json_data['data']['items'][i]['name']
      flash_price = json_data['data']['items'][i]['price']
      flash_discount = json_data['data']['items'][i]['discount']
      flash_stock = json_data['data']['items'][i]['stock']
      list_name.append(flash_name)
      list_price.append(flash_price)
      list_discount.append(flash_discount)
      list_stock.append(flash_stock)
      sleep(0.5)
      i += 1
      if i > total_flashsale:
      print('No more avaialble items')
      return

      getShockingSales()
      new_panda = pd.DataFrame({'Name': list_name, 'Price': list_price,
      'Discount': list_discount, 'Stock Available': list_stock})

      print('Converting to Panda Frame....')
      sleep(5)
      print(new_panda)


      this is from only one file, would one list be more than sufficient? Am I approaching this wrongly.







      python-3.x json





      share







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      Minial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.










      share







      New contributor




      Minial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.








      share



      share






      New contributor




      Minial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      asked 3 mins ago









      MinialMinial

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      Minial is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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      Check out our Code of Conduct.






















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