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main.py
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main.py
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from playwright.sync_api import sync_playwright
from dataclasses import dataclass, asdict, field
import pandas as pd
import argparse
from bs4 import BeautifulSoup
l1=[]
l2=[]
# Lists
name_list = []
address_list = []
address_line_list = []
area_list = []
zip_code_list = []
country_list = []
located_in_list = []
website_list = []
phone_number_list = []
reviews_count_list = []
reviews_average_list = []
in_store_shopping_list = []
in_store_pickup_list = []
store_delivery_list = []
place_type_list = []
opens_at_list = []
about_list = []
orders_links1_list = []
orders_links2_list = []
orders_links3_list = []
facebook_link_list = []
twitter_link_list = []
instagram_link_list = []
tiktok_link_list = []
linkedin_link_list = []
Name = ""
Address = ""
Address_line = ""
Area = ""
Zip_Code = ""
Country = ""
Located_In = ""
Website = ""
Phone_Number = ""
Reviews_Count = 0
Reviews_Average = 0
In_Store_Shopping = ""
In_Store_Pickup = ""
Store_Delivery = ""
Place_Type = ""
Opens_At = ""
About = ""
Orders_Links1 = ""
Orders_Links2 = ""
Orders_Links3 = ""
Facebook_Link = ""
Twitter_Link = ""
Instagram_Link = ""
TikTok_Link = ""
Linkedin_Link = ""
def main():
with sync_playwright() as p:
browser = p.chromium.launch(headless=False)
page = browser.new_page()
page.goto("https://www.google.com", timeout=60000)
page.wait_for_timeout(1000)
page.locator('//textarea[@type="search"]').fill(search_for)
page.wait_for_timeout(1000)
page.keyboard.press("Enter")
page.wait_for_timeout(1000)
# scrolling
#page.hover('//a[contains(@href, "https://www.google.com/maps/place")]')
xpath='//div[@class="iNTie"]//a'
more_locations_link = page.locator(xpath)
# print(more_locations_link)
if more_locations_link:
more_locations_link.click()
page.wait_for_timeout(1000)
Page_Count=1
while True:
page.hover('//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]')
previously_counted = 0
while True:
page.mouse.wheel(0, 10000)
page.wait_for_timeout(3000)
if (page.locator('//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]').count() >= total):
listings = page.locator( '//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]').all()[:total]
listings = [listing.locator("xpath=..") for listing in listings]
print(f"Total Listings Found: {len(listings)} on Page: {Page_Count}")
break
else:
if (page.locator( '//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]').count()== previously_counted ):
listings = page.locator( '//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]').all()
print(f"Arrived at all available\nTotal Listings Found: {len(listings)} on Page: {Page_Count}")
break
else:
previously_counted = page.locator('//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]' ).count()
print(f"Current Listings Found: ", page.locator( '//div[@class="VkpGBb"]//a[contains(@jsname,"kj0dLd")]').count(), )
page_content = page.content()
soup = BeautifulSoup(page_content, 'html.parser')
next_page=soup.find_all("td", {"class" : "d6cvqb BBwThe"})
Page_Count+=1
# scraping
for listing in listings:
listing.click()
check_here=False
page.wait_for_timeout(5000)
name_xpath = '//div[@class="SPZz6b"]//h2'
address_xpath = '//span[@class="LrzXr"]'
website_xpath = '//div[@class="PDzHbe" and text()="Website"]/ancestor::a[1]'
phone_number_xpath = '//span[@class="LrzXr zdqRlf kno-fv"]'
reviews_count_xpath = '//div[@class="CJQ04"]//span[@class="RDApEe YrbPuc"]'
reviews_average_xpath = '//div[@class="CJQ04"]//span[@class="yi40Hd YrbPuc"]'
# services='//div[@class="wDYxhc NFQFxe viOShc"]//div[contains(@data-hveid,"CB")]'#store
services='//div[@class="wDYxhc NFQFxe viOShc"]//div[contains(@data-hveid,"CB")]//..//div//span[contains(text(),"Service")]//..//..//div'
services2='//div[@class="wDYxhc NFQFxe"]//div[contains(@data-hveid,"CB") and (text())]'
opens_at_xpath='//span[@class="JjSWRd"]'#time
place_type_xpath='//span[@class="YhemCb" and not(@data-ved)]'#type of place
intro_xpath='//div[@class="wDYxhc NFQFxe"]//c-wiz[@jsrenderer="bHxjwf"]'
located_in_xpath='//div[@class="zloOqf pNrDqb"]//a'
orders_xpath='//div[@class="JV5xkf"]//div//b[contains(text(),"Order")]//..//a[1]'
check_order_xpath='//div[@class="JV5xkf"]//div//b[contains(text(),"Order")]'
orders_xpath2='//div[@class="JV5xkf"]//div//b[contains(text(),"Order")]//..//a[2]'
orders_xpath3='//div[@class="JV5xkf"]//div//b[contains(text(),"Order")]//..//a[3]'
facebook_xpath='//div[@class="OOijTb P6Tjc gDQYEd Dy8CGd"]//div[@class="PZPZlf dRrfkf kno-vrt-t"]//a[contains(@href,"face")]'
insta_xpath='//div[@class="OOijTb P6Tjc gDQYEd Dy8CGd"]//div[@class="PZPZlf dRrfkf kno-vrt-t"]//a[contains(@href,"insta")]'
twitter_xpath='//div[@class="OOijTb P6Tjc gDQYEd Dy8CGd"]//div[@class="PZPZlf dRrfkf kno-vrt-t"]//a[contains(@href,"twit")]'
tiktok_xpath='//div[@class="OOijTb P6Tjc gDQYEd Dy8CGd"]//div[@class="PZPZlf dRrfkf kno-vrt-t"]//a[contains(@href,"tiktok")]'
linkedin_xpath='//div[@class="OOijTb P6Tjc gDQYEd Dy8CGd"]//div[@class="PZPZlf dRrfkf kno-vrt-t"]//a[contains(@href,"linkedin")]'
if page.locator(intro_xpath).count() > 0:
temp = page.locator(intro_xpath).inner_text()
temp=temp.split('\n')
About=temp[1].replace('... More','')
about_list.append(About)
else:
About = "Not Given"
about_list.append(About)
if page.locator(facebook_xpath).count() > 0:
temp = page.locator(facebook_xpath)
href_value = temp.get_attribute('href')
Facebook_Link = href_value
facebook_link_list.append(Facebook_Link)
else:
Facebook_Link = "Not Given"
facebook_link_list.append(Facebook_Link)
if page.locator(tiktok_xpath).count() > 0:
temp = page.locator(tiktok_xpath)
href_value = temp.get_attribute('href')
TikTok_Link = href_value
tiktok_link_list.append(TikTok_Link)
else:
TikTok_Link = "Not Given"
tiktok_link_list.append(TikTok_Link)
if page.locator(linkedin_xpath).count() > 0:
temp = page.locator(linkedin_xpath)
href_value = temp.get_attribute('href')
Linkedin_Link = href_value
linkedin_link_list.append(Linkedin_Link)
else:
Linkedin_Link = "Not Given"
linkedin_link_list.append(Linkedin_Link)
if page.locator(twitter_xpath).count() > 0:
temp = page.locator(twitter_xpath)
href_value = temp.get_attribute('href')
Twitter_Link = href_value
twitter_link_list.append(Twitter_Link)
else:
Twitter_Link = "Not Given"
twitter_link_list.append(Twitter_Link)
if page.locator(insta_xpath).count() > 0:
temp = page.locator(insta_xpath)
href_value = temp.get_attribute('href')
Instagram_Link = href_value
instagram_link_list.append(Instagram_Link)
else:
Instagram_Link = "Not Given"
instagram_link_list.append(Instagram_Link)
if page.locator(orders_xpath).count() > 0:
temp = page.locator(orders_xpath)
href_value = temp.get_attribute('href')
Orders_Links1=href_value
orders_links1_list.append(Orders_Links1)
else:
Orders_Links1 = "Not Given"
orders_links1_list.append(Orders_Links1)
if page.locator(orders_xpath2).count() > 0:
temp = page.locator(orders_xpath2)
href_value = temp.get_attribute('href')
Orders_Links2=href_value
orders_links2_list.append(Orders_Links2)
else:
Orders_Links2 = "Not Given"
orders_links2_list.append(Orders_Links2)
if page.locator(orders_xpath3).count() > 0:
temp = page.locator(orders_xpath3)
href_value = temp.get_attribute('href')
Orders_Links3=href_value
orders_links3_list.append(Orders_Links3)
else:
Orders_Links3 = "Not Given"
orders_links3_list.append(Orders_Links3)
if page.locator(located_in_xpath).count() > 0:
Located_In = page.locator(located_in_xpath).inner_text()
located_in_list.append(Located_In)
else:
Located_In = "Not Given"
located_in_list.append(Located_In)
if page.locator(reviews_count_xpath).count() > 0:
temp = page.locator(reviews_count_xpath).inner_text()
temp=temp.replace('(','').replace(')','').replace(',','')
if 'K' in temp:
num = int(float(temp.replace('K', '')) * 1000)
Reviews_Count=int(num)
else:
Reviews_Count=int(temp)
reviews_count_list.append(Reviews_Count)
else:
Reviews_Count = ""
reviews_count_list.append(Reviews_Count)
if page.locator(reviews_average_xpath).count() > 0:
temp = page.locator(reviews_average_xpath).inner_text()
temp=temp.replace(' ','')
Reviews_Average=float(temp)
reviews_average_list.append(Reviews_Average)
else:
Reviews_Average = ""
reviews_average_list.append(Reviews_Average)
if page.locator(services).count() > 0:
temp = page.locator(services).inner_text()
check_here=True
if 'Service options' not in temp:
In_Store_Shopping = "No"
In_Store_Pickup = "No"
Store_Delivery = "No"
in_store_shopping_list.append(In_Store_Shopping)
in_store_pickup_list.append(In_Store_Pickup)
store_delivery_list.append(Store_Delivery)
else:
temp=temp.replace('\xa0','')
if 'shop' in temp:
In_Store_Shopping = 'Yes'
else:
In_Store_Shopping = 'No'
if 'pick' in temp:
In_Store_Pickup = 'Yes'
else:
In_Store_Pickup = 'No'
if 'Delivery' in temp:
Store_Delivery = 'Yes'
else:
Store_Delivery = 'No'
in_store_shopping_list.append(In_Store_Shopping)
in_store_pickup_list.append(In_Store_Pickup)
store_delivery_list.append(Store_Delivery)
else:
#l1.append("")
In_Store_Shopping = "No"
In_Store_Pickup = "No"
Store_Delivery = "No"
in_store_shopping_list.append(In_Store_Shopping)
in_store_pickup_list.append(In_Store_Pickup)
store_delivery_list.append(Store_Delivery)
if check_here:
check_here=False
if page.locator(services2).count() > 0:
temp = page.locator(services2).inner_text()
if 'Service options' not in temp:
In_Store_Shopping = "No"
In_Store_Pickup = "No"
Store_Delivery = "No"
in_store_shopping_list.append(In_Store_Shopping)
in_store_pickup_list.append(In_Store_Pickup)
store_delivery_list.append(Store_Delivery)
else:
temp=temp.replace('\xa0','')
#print(temp)
#l1.append(temp)
if 'shop' in temp:
In_Store_Shopping = 'Yes'
else:
In_Store_Shopping = 'No'
if 'pick' in temp:
In_Store_Pickup = 'Yes'
else:
In_Store_Pickup = 'No'
if 'Delivery' in temp:
Store_Delivery = 'Yes'
else:
Store_Delivery = 'No'
in_store_shopping_list.append(In_Store_Shopping)
in_store_pickup_list.append(In_Store_Pickup)
store_delivery_list.append(Store_Delivery)
else:
#l1.append("")
In_Store_Shopping = "No"
In_Store_Pickup = "No"
Store_Delivery = "No"
in_store_shopping_list.append(In_Store_Shopping)
in_store_pickup_list.append(In_Store_Pickup)
store_delivery_list.append(Store_Delivery)
if page.locator(opens_at_xpath).count() > 0:
opens = page.locator(opens_at_xpath).inner_text()
opens=opens.split('⋅')
if(len(opens)>1):
opens=opens[1]
opens=opens.replace("\u202f","")
else:
opens=str(opens).replace("\u202f","")
Opens_At=opens
opens_at_list.append(Opens_At)
else:
Opens_At = "Not Given"
opens_at_list.append(Opens_At)
if page.locator(name_xpath).count() > 0:
Name = page.locator(name_xpath).inner_text()
name_list.append(Name)
else:
Name = ""
name_list.append(Name)
if page.locator(address_xpath).count() > 0:
Address = page.locator(address_xpath).inner_text()
address_list.append(Address)
address_token= page.locator(address_xpath).inner_text()
address_token=address_token.split(', ')
if(len(address_token))==5:
Address_line=address_token[0] + address_token[1]
Area=address_token[2]
Zip_Code=address_token[3]
Country=address_token[4]
else:
Address_line=address_token[0]
Area=address_token[1]
Zip_Code=address_token[2]
Country=address_token[3]
address_line_list.append(Address_line)
area_list.append(Area)
zip_code_list.append(Zip_Code)
country_list.append(Country)
else:
Address = "Not Given"
address_list.append(Address)
if page.locator(website_xpath).count() > 0:
temp = page.locator(website_xpath)
href_value = temp.get_attribute('href')
Website=href_value
website_list.append(Website)
else:
Website = "Not Given"
website_list.append(Website)
if page.locator(phone_number_xpath).count() > 0:
Phone_Number = page.locator(phone_number_xpath).inner_text()
phone_number_list.append(Phone_Number)
else:
Phone_Number = "Not Given"
phone_number_list.append(Phone_Number)
if page.locator(place_type_xpath).count() > 0:
Place_Type = page.locator(place_type_xpath).inner_text()
place_type_list.append(Place_Type)
else:
Place_Type = "Not Given"
place_type_list.append(Place_Type)
#conditions for next page
go_to_next_page=False
for check in next_page:
con=check.find("a", {"id": "pnnext"})
if(con):
go_to_next_page=True
else:
continue
if(go_to_next_page):
xpath='//table[@class="AaVjTc"]//td[@class="d6cvqb BBwThe"][2]//a'
more_locations_link = page.locator(xpath)
# print(more_locations_link)
if more_locations_link:
more_locations_link.click()
page.wait_for_timeout(5000)
else:
break
browser.close()
df = pd.DataFrame(list(zip(name_list, address_list, address_line_list, area_list, zip_code_list, country_list, located_in_list, website_list,phone_number_list,reviews_count_list, reviews_average_list,in_store_shopping_list,in_store_pickup_list,store_delivery_list,place_type_list, opens_at_list,about_list,orders_links1_list,orders_links2_list,orders_links3_list, facebook_link_list, twitter_link_list, instagram_link_list, tiktok_link_list,linkedin_link_list)),
columns =["Name","Address","Address Line","Area","Zip Code", "Country", "Located in", "Website", "Phone Number", "Reviews Count", "Reviews Average","In Store Shopping", "In Store Pickup","Store Delivery","Place Type","Opens at","About","Orders Links1", "Orders Links2", "Orders Links3", "Facebook Link", "Twitter Link", "Instagram Link", "TikTok Link", "Linkedin Link"])
columns_to_delete = []
for col in df.columns:
if df[col].nunique() == 1:
columns_to_delete.append(col)
df.drop(columns=columns_to_delete, inplace=True)
df.to_csv(r'results.csv', index = False)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-s", "--search", type=str)
parser.add_argument("-t", "--total", type=int)
args = parser.parse_args()
if args.search:
search_for = args.search
else:
search_for = "subways restaurants in us"
if args.total:
total = args.total
else:
total = 1
main()