






"""simple docstring"""



from __future__ import annotations

import json

import requests
from bsa import BeautifulSoup
from fake_useragent import UserAgent

__A		:       int  				=		{'''UserAgent''': UserAgent().random}



def 						lowercase    (				__snake_case				: Optional[int]	):
		lowercase_ : Dict							       =   script.contents[0]
		lowercase_ : List[Any]							       =   json.loads(data[data.find('''{"config"'''	) : -1]	)
		return info["entry_data"]["ProfilePage"][0]["graphql"]["user"]





class 					_UpperCAmelCase       :




					def __init__(				self     :						List[Any]    ,						A     :						Any   )  ->  Any:
							lowercase_ : int							       =   F'''https://www.instagram.com/{username}/'''
							lowercase_ : Union[str, Any]							       =   self.get_json()




					def   A  (				self     :						Optional[int]   )  ->  dict:
							lowercase_ : List[Any]							       =   requests.get(self.url    ,						headers=A   ).text
							lowercase_ : List[str]							       =   BeautifulSoup(A    ,						'''html.parser'''   ).find_all('''script'''   )
							try:
									return extract_user_profile(scripts[4]   )
							except (json.decoder.JSONDecodeError, KeyError):
									return extract_user_profile(scripts[3]   )




					def __repr__(				self     :						int   )  ->  str:
							return F'''{self.__class__.__name__}(\'{self.username}\')'''




					def __str__(				self     :						Dict   )  ->  str:
							return F'''{self.fullname} ({self.username}) is {self.biography}'''




					@property
					def   A  (				self     :						Dict   )  ->  str:
							return self.user_data["username"]




					@property
					def   A  (				self     :						Any   )  ->  str:
							return self.user_data["full_name"]




					@property
					def   A  (				self     :						int   )  ->  str:
							return self.user_data["biography"]




					@property
					def   A  (				self     :						int   )  ->  str:
							return self.user_data["business_email"]




					@property
					def   A  (				self     :						Union[str, Any]   )  ->  str:
							return self.user_data["external_url"]




					@property
					def   A  (				self     :						List[str]   )  ->  int:
							return self.user_data["edge_followed_by"]["count"]




					@property
					def   A  (				self     :						Optional[int]   )  ->  int:
							return self.user_data["edge_follow"]["count"]




					@property
					def   A  (				self     :						Dict   )  ->  int:
							return self.user_data["edge_owner_to_timeline_media"]["count"]




					@property
					def   A  (				self     :						List[str]   )  ->  str:
							return self.user_data["profile_pic_url_hd"]




					@property
					def   A  (				self     :						Optional[Any]   )  ->  bool:
							return self.user_data["is_verified"]






					@property
					def   A  (				self     :						List[str]   )  ->  bool:
							return self.user_data["is_private"]



def 						lowercase    (				__snake_case				: str = "github"	):
		import os

		if os.environ.get('''CI'''	):
				return  # test failing on GitHub Actions
		lowercase_ : Optional[Any]							       =   InstagramUser(__snake_case	)
		assert instagram_user.user_data
		assert isinstance(instagram_user.user_data		,					__snake_case	)
		assert instagram_user.username == username
		if username != "github":
				return
		assert instagram_user.fullname == "GitHub"
		assert instagram_user.biography == "Built for developers."
		assert instagram_user.number_of_posts > 1_5_0
		assert instagram_user.number_of_followers > 1_2_0_0_0_0
		assert instagram_user.number_of_followings > 1_5
		assert instagram_user.email == "support@github.com"
		assert instagram_user.website == "https://github.com/readme"
		assert instagram_user.profile_picture_url.startswith('''https://instagram.'''	)
		assert instagram_user.is_verified is True
		assert instagram_user.is_private is False


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						__A		:       Tuple  				=		InstagramUser('''github''')
						print(instagram_user)
						print(F"""{instagram_user.number_of_posts = }""")
						print(F"""{instagram_user.number_of_followers = }""")
						print(F"""{instagram_user.number_of_followings = }""")
						print(F"""{instagram_user.email = }""")
						print(F"""{instagram_user.website = }""")
						print(F"""{instagram_user.profile_picture_url = }""")
						print(F"""{instagram_user.is_verified = }""")
						print(F"""{instagram_user.is_private = }""")





from itertools import zip_longest

import requests
from bsa import BeautifulSoup
from pandas import DataFrame






def   lowerCAmelCase_						(					_snake_case      :  str = "laptop"   )				->		DataFrame:







	'''simple docstring'''


	__magic_name__		:		Tuple	   =     F'''https://www.amazon.in/laptop/s?k={product}'''
	__magic_name__		:		Dict	   =     {
	    "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",
	}
	__magic_name__		:		Tuple	   =     BeautifulSoup(requests.get(_snake_case      ,   headers=_snake_case   ).text   )
	# Initialize a Pandas dataframe with the column titles
	__magic_name__		:		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:
			__magic_name__		:		Dict	   =     item.ha.text
			__magic_name__		:		Optional[int]	   =     "https://www.amazon.in/" + item.ha.a["href"]
			__magic_name__		:		Optional[Any]	   =     item.find("span"      ,   attrs={"class": "a-offscreen"}   ).text
			try:
				__magic_name__		:		Union[str, Any]	   =     item.find("span"      ,   attrs={"class": "a-icon-alt"}   ).text
			except AttributeError:
				__magic_name__		:		Dict	   =     "Not available"
			try:
				__magic_name__		:		Optional[int]	   =     (
				    "₹"
				    + item.find(
				        "span"      ,   attrs={"class": "a-price a-text-price"}   ).text.split("₹"   )[1]
				)
			except AttributeError:
				__magic_name__		:		List[str]	   =     ""
			try:
				__magic_name__		:		int	   =     float(
				    (
				        (
				            float(product_mrp.strip("₹"   ).replace(","      ,   ""   )   )
				            - float(product_price.strip("₹"   ).replace(","      ,   ""   )   )
				        )
				        / float(product_mrp.strip("₹"   ).replace(","      ,   ""   )   )
				    )
				    * 100   )
			except ValueError:
				__magic_name__		:		str	   =     float("nan"   )
		except AttributeError:
			pass
		__magic_name__		:		Optional[int]	   =     [
		    product_title,
		    product_link,
		    product_price,
		    product_rating,
		    product_mrp,
		    discount,
		]
	__magic_name__		:		Optional[Any]	   =     " "
	__magic_name__		:		str	   =     " "
	data_frame.index += 1
	return data_frame


if __name__ == "__main__":
				snake_case :		Any							      =  "headphones"
				get_amazon_product_data(product).to_csv(F"Amazon Product Data for {product}.csv")
