from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame
def       A	(    _lowercase = "laptop"						):
						SCREAMING_SNAKE_CASE							:    int							=							f"""https://www.amazon.in/laptop/s?k={product}"""
						SCREAMING_SNAKE_CASE							:    List[str]							=							{
						    '''User-Agent''': '''Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36''',
						    '''Accept-Language''': '''en-US, en;q=0.5''',
						}
						SCREAMING_SNAKE_CASE							:    List[str]							=							BeautifulSoup(requests.get(_lowercase		,  headers=_lowercase						).text						)
						# Initialize a Pandas dataframe with the column titles
						SCREAMING_SNAKE_CASE							:    Optional[int]							=							DataFrame(
						    columns=[
						        '''Product Title''',
						        '''Product Link''',
						        '''Current Price of the product''',
						        '''Product Rating''',
						        '''MRP of the product''',
						        '''Discount''',
						    ]						)
						# Loop through each entry and store them in the dataframe
						for item, _ in zip_longest(
						    soup.find_all(
						        '''div'''		,  attrs={'''class''': '''s-result-item''', '''data-component-type''': '''s-search-result'''}		,  )		,  soup.find_all('''div'''		,  attrs={'''class''': '''a-row a-size-base a-color-base'''}						)		,  ):
												try:
																		SCREAMING_SNAKE_CASE							:    str							=							item.ha.text
																		SCREAMING_SNAKE_CASE							:    Optional[int]							=							'''https://www.amazon.in/''' + item.ha.a['''href''']
																		SCREAMING_SNAKE_CASE							:    List[Any]							=							item.find('''span'''		,  attrs={'''class''': '''a-offscreen'''}						).text
																		try:
																								SCREAMING_SNAKE_CASE							:    int							=							item.find('''span'''		,  attrs={'''class''': '''a-icon-alt'''}						).text
																		except AttributeError:
																								SCREAMING_SNAKE_CASE							:    str							=							'''Not available'''
																		try:
																								SCREAMING_SNAKE_CASE							:    Tuple							=							(
																								    '''₹'''
																								    + item.find(
																								        '''span'''		,  attrs={'''class''': '''a-price a-text-price'''}						).text.split('''₹'''						)[1]
																								)
																		except AttributeError:
																								SCREAMING_SNAKE_CASE							:    Union[str, Any]							=							''''''
																		try:
																								SCREAMING_SNAKE_CASE							:    Tuple							=							float(
																								    (
																								        (
																								            float(product_mrp.strip('''₹'''						).replace(''','''		,  ''''''						)						)
																								            - float(product_price.strip('''₹'''						).replace(''','''		,  ''''''						)						)
																								        )
																								        / float(product_mrp.strip('''₹'''						).replace(''','''		,  ''''''						)						)
																								    )
																								    * 100						)
																		except ValueError:
																								SCREAMING_SNAKE_CASE							:    List[Any]							=							float('''nan'''						)
												except AttributeError:
																		pass
												SCREAMING_SNAKE_CASE							:    List[Any]							=							[
												    product_title,
												    product_link,
												    product_price,
												    product_rating,
												    product_mrp,
												    discount,
												]
						SCREAMING_SNAKE_CASE							:    Any							=							''' '''
						SCREAMING_SNAKE_CASE							:    Optional[Any]							=							''' '''
						data_frame.index += 1
						return data_frame


if __name__ == "__main__":
					__UpperCamelCase		:       Optional[int]									=     'headphones'
					get_amazon_product_data(product).to_csv(f"""Amazon Product Data for {product}.csv""")












"""simple docstring"""
from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame






def 					A__				(			UpperCamelCase = "laptop"       ):
							A		=  F"https://www.amazon.in/laptop/s?k={product}"
							A		=  {
							    "User-Agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36\n        (KHTML, like Gecko)Chrome/44.0.2403.157 Safari/537.36",
							    "Accept-Language": "en-US, en;q=0.5",
							}
							A		=  BeautifulSoup(requests.get(UpperCamelCase					,  headers=UpperCamelCase       ).text       )
							# Initialize a Pandas dataframe with the column titles
							A		=  DataFrame(
							    columns=[
							        "Product Title",
							        "Product Link",
							        "Current Price of the product",
							        "Product Rating",
							        "MRP of the product",
							        "Discount",
							    ]       )
							# Loop through each entry and store them in the dataframe
							for item, _ in zip_longest(
							    soup.find_all(
							        "div"					,  attrs={"class": "s-result-item", "data-component-type": "s-search-result"}					,  )					,  soup.find_all("div"					,  attrs={"class": "a-row a-size-base a-color-base"}       )					,  ):
														try:
																					A		=  item.ha.text
																					A		=  "https://www.amazon.in/" + item.ha.a["href"]
																					A		=  item.find("span"					,  attrs={"class": "a-offscreen"}       ).text
																					try:
																												A		=  item.find("span"					,  attrs={"class": "a-icon-alt"}       ).text
																					except AttributeError:
																												A		=  "Not available"
																					try:
																												A		=  (
																												    "₹"
																												    + item.find(
																												        "span"					,  attrs={"class": "a-price a-text-price"}       ).text.split("₹"       )[1]
																												)
																					except AttributeError:
																												A		=  ""
																					try:
																												A		=  float(
																												    (
																												        (
																												            float(product_mrp.strip("₹"       ).replace(","					,  ""       )       )
																												            - float(product_price.strip("₹"       ).replace(","					,  ""       )       )
																												        )
																												        / float(product_mrp.strip("₹"       ).replace(","					,  ""       )       )
																												    )
																												    * 100       )
																					except ValueError:
																												A		=  float("nan"       )
														except AttributeError:
																					pass
														A		=  [
														    product_title,
														    product_link,
														    product_price,
														    product_rating,
														    product_mrp,
														    discount,
														]
							A		=  " "
							A		=  " "
							data_frame.index += 1
							return data_frame


if __name__ == "__main__":
		_snake_case     :		Optional[int]       						= 'headphones'
		get_amazon_product_data(product).to_csv(F"""Amazon Product Data for {product}.csv""")


