From 633f7d5a577bcff5e82dee2b513ef98b14cb371f Mon Sep 17 00:00:00 2001
From: Prince Shrivastav <55189910+Pridude@users.noreply.github.com>
Date: Wed, 5 Oct 2022 13:14:20 +0530
Subject: [PATCH 1/2] Create Scraping Flipkart Websit.py

---
 Scraping Flipkart Websit.py | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)
 create mode 100644 Scraping Flipkart Websit.py

diff --git a/Scraping Flipkart Websit.py b/Scraping Flipkart Websit.py
new file mode 100644
index 0000000..8170ebd
--- /dev/null
+++ b/Scraping Flipkart Websit.py	
@@ -0,0 +1,20 @@
+gedit fk-web-s.py
+from selenium import webdriver
+from BeautifulSoup import BeautifulSoup
+import pandas as pd
+driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver")
+products=[] #List to store name of the product
+prices=[] #List to store price of the product
+ratings=[] #List to store rating of the product
+driver.get("https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;uniq")
+content = driver.page_source
+soup = BeautifulSoup(content)
+for a in soup.findAll('a',href=True, attrs={'class':'_31qSD5'}):
+name=a.find('div', attrs={'class':'_3wU53n'})
+price=a.find('div', attrs={'class':'_1vC4OE _2rQ-NK'})
+rating=a.find('div', attrs={'class':'hGSR34 _2beYZw'})
+products.append(name.text)
+prices.append(price.text)
+ratings.append(rating.text)
+df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings}) 
+df.to_csv('products.csv', index=False, encoding='utf-8')

From 1d1fe30c43920bcc777e6912a44676a3ce7858cc Mon Sep 17 00:00:00 2001
From: Prince Shrivastav <55189910+Pridude@users.noreply.github.com>
Date: Thu, 6 Oct 2022 22:33:19 +0530
Subject: [PATCH 2/2] Update Scraping Flipkart Websit.py

---
 Scraping Flipkart Websit.py | 54 ++++++++++++++++++++++++-------------
 1 file changed, 36 insertions(+), 18 deletions(-)

diff --git a/Scraping Flipkart Websit.py b/Scraping Flipkart Websit.py
index 8170ebd..fc68e91 100644
--- a/Scraping Flipkart Websit.py	
+++ b/Scraping Flipkart Websit.py	
@@ -1,20 +1,38 @@
-gedit fk-web-s.py
+# gedit fk-web-s.py
+import requests 
+import sys 
+from bs4 import BeautifulSoup 
+import time
 from selenium import webdriver
-from BeautifulSoup import BeautifulSoup
+from bs4 import BeautifulSoup
 import pandas as pd
-driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver")
-products=[] #List to store name of the product
-prices=[] #List to store price of the product
-ratings=[] #List to store rating of the product
-driver.get("https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;uniq")
-content = driver.page_source
-soup = BeautifulSoup(content)
-for a in soup.findAll('a',href=True, attrs={'class':'_31qSD5'}):
-name=a.find('div', attrs={'class':'_3wU53n'})
-price=a.find('div', attrs={'class':'_1vC4OE _2rQ-NK'})
-rating=a.find('div', attrs={'class':'hGSR34 _2beYZw'})
-products.append(name.text)
-prices.append(price.text)
-ratings.append(rating.text)
-df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings}) 
-df.to_csv('products.csv', index=False, encoding='utf-8')
+# driver = webdriver.Chrome("/usr/lib/chromium-browser/chromedriver")
+# products=[] #List to store name of the product
+# prices=[] #List to store price of the product
+# ratings=[] #List to store rating of the product
+# driver.get("https://www.flipkart.com/laptops/~buyback-guarantee-on-laptops-/pr?sid=6bo%2Cb5g&amp;amp;amp;amp;amp;amp;amp;amp;amp;amp;uniq")
+# content = driver.page_source
+# soup = BeautifulSoup(content)
+# for a in soup.findAll('a',href=True, attrs={'class':'_31qSD5'}):
+#  name=a.find('div', attrs={'class':'_3wU53n'})
+#  price=a.find('div', attrs={'class':'_1vC4OE _2rQ-NK'})
+#  rating=a.find('div', attrs={'class':'hGSR34 _2beYZw'})
+#  products.append(name.text)
+#  prices.append(price.text)
+#  ratings.append(rating.text)
+# df = pd.DataFrame({'Product Name':products,'Price':prices,'Rating':ratings}) 
+# df.to_csv('products.csv', index=False, encoding='utf-8')
+
+
+payload = {'q':'laptop'} 
+r = requests.get('http://www.flipkart.com/search', params = payload) 
+data = r.content.decode(encoding='UTF-8') 
+f = open("flipkartdata.txt","w+",encoding='UTF-8') 
+f.write(data)
+soup = BeautifulSoup(r.content.decode(encoding='UTF-8'), "lxml")
+collection = soup.find_all("div", {"class": "_2kHMtA"})#input your class of the required search
+href = []
+for c in collection:
+ a = c.find("a")
+ href.append(a['href'])
+ #can store the data as such you want