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rank.py
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rank.py
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import requests
import random
from bs4 import BeautifulSoup
import pandas as pd
import datetime
import time
from halo import Halo
from termcolor import colored
# Set up the spinner animation
spinner = Halo(text='', spinner='dots')
# Start the spinner
spinner.start()
# inputs
keyword = 'running shoes'
sitename = "https://www.adidas.com/"
competitor1 = "https://www.nike.com"
competitor2 = "https://www.reebok.com"
competitor3 = "https://www.ascics.com"
competitor4 = "https://www.hoka.com"
competitors = [competitor1,competitor2,competitor3, competitor4]
#Mobile user agent strings f
mobile_agent = [
# Safari for iOS
'Mozilla/5.0 (iPhone; CPU iPhone OS 16_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.5 Mobile/15E148 Safari/604.1',
# Chrome for iOS
'Mozilla/5.0 (iPhone; CPU iPhone OS 16_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) CriOS/114.0.5735.99 Mobile/15E148 Safari/604.1',
# Firefox for iOS
'Mozilla/5.0 (iPhone; CPU iPhone OS 16_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) FxiOS/114.1 Mobile/15E148 Safari/605.1.15',
# Microsoft Edge for iOS
'Mozilla/5.0 (iPhone; CPU iPhone OS 16_5 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/16.5 Mobile/15E148 EdgiOS/114.0.5735.99',
]
desktop_agent = [
# Updated Chrome 110 on Windows
'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
# Updated Chrome 110 on MacOS
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/110.0.0.0 Safari/537.36',
# Updated Firefox 105 on MacOS
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:105.0) Gecko/20100101 Firefox/105.0',
# Updated Safari 15 on MacOS
'Mozilla/5.0 (Macintosh; Intel Mac OS X 10.15; rv:15.0) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/15.0 Safari/605.1.15',
]
def clean_url(url):
"""
Cleans a given URL by extracting the portion starting from 'https://'
up to the '&ved' parameter, if present.
Parameters:
url (str): The URL to be cleaned.
Returns:
str: The cleaned URL or None if 'https://' is not found.
"""
# Find the start of 'https://'
start = url.find('https://')
if start == -1:
return None # 'https://' not found in the URL
# Find the end position, which is the start of '&ved'
end = url.find('&ved', start)
if end == -1:
# If '&ved' is not found, return the URL from 'https://' onwards
return url[start:]
else:
# Return the URL from 'https://' up to '&ved'
return url[start:end]
def rank_check(sitename,serp_df,keyword,type):
counter = 0
#here is where we count and find our url
d=[]
for i in serp_df['URLs']:
counter += 1
if sitename in str(i):
rank = counter
url = i
now = datetime.date.today().strftime("%d-%m-%Y")
d.append([keyword,rank,url,now,type])
#print(keyword,rank,url, now)
df = pd.DataFrame(d)
if d: # Check if the list 'd' is not empty
df = pd.DataFrame(d)
df.columns = ['Keyword', 'Rank', 'URLs', 'Date', 'Type']
else:
# Create an empty DataFrame with the specified columns
df = pd.DataFrame(columns=['Keyword', 'Rank', 'URLs', 'Date', 'Type'])
return df
def get_data(keyword,sitename,device):
# Google Search URL
google_url = 'https://www.google.com/search?num=100&q='
#checking what device we are checking
if device.lower() == 'mobile':
print(colored("- Checking Mobile Rankings" ,'black',attrs=['bold']))
useragent = random.choice(mobile_agent)
headers = {'User-Agent': useragent}
print(headers)
elif device.lower() =='desktop':
print(colored("- Checking Desktop Rankings" ,'black',attrs=['bold']))
useragent = random.choice(desktop_agent)
headers = {'User-Agent': useragent}
print(headers)
# Make the request
response = requests.get(google_url + keyword, headers=headers)
# Check if the request was successful
if response.status_code == 200:
# Parse the content
soup = BeautifulSoup(response.text, 'html.parser')
if device.lower() == 'mobile':
# Find search results
#titles = soup.find_all('h3', limit=10)
urls = soup.find_all('div', class_="P8ujBc")
elif device.lower() == 'desktop':
urls = soup.find_all('div', class_="yuRUbf")
data= []
for div in urls:
soup = BeautifulSoup(str(div), 'html.parser')
# Extracting the URL
url_anchor = soup.find('a')
if url_anchor:
url = url_anchor.get('href', "No URL")
else:
url = "No URL"
url = clean_url(url)
data.append(url)
serp_df = pd.DataFrame(data,columns =['URLs'])
serp_df = serp_df.dropna(subset=['URLs'])
results = rank_check(sitename,serp_df,keyword,"My Site")
print(colored(f"- Rankings results for {sitename}",'black',attrs=['bold']))
print(results)
#competiors
for competitor in competitors:
c = rank_check(competitor,serp_df,keyword, "Competitor")
results = pd.concat([results, c])
df = pd.DataFrame(results)
df = df.sort_values(by='Rank')
elif response.status_code == 429:
# Handle rate limiting
print('Rate limit hit, status code 429. You are Blocked From Google')
error_message = 'Rate limit hit, status code 429. You are Blocked From Google'
df = pd.DataFrame({'status': [error_message]})
else:
# Handle other status codes
print(f'Failed to retrieve data, status code: {response.status_code}')
error_message = f'Failed to retrieve data, status code: {response.status_code}'
df = pd.DataFrame({'status': [error_message]})
print(colored(f"- Competitors Ranking results",'black',attrs=['bold']))
print(df)
return df
mobile = get_data(keyword,sitename,'mobile')
# Wait for 5 seconds
time.sleep(5)
desktop = get_data(keyword,sitename,'desktop')
try:
with pd.ExcelWriter(f"{keyword}.xlsx", engine='openpyxl') as writer:
# Write each DataFrame to a different worksheet
desktop.to_excel(writer, sheet_name='Desktop')
mobile.to_excel(writer, sheet_name='Mobile')
pass
except Exception:
print('No Data, please try again')
#Stop the spinner
spinner.stop_and_persist(symbol='🤖'.encode('utf-8'), text='All Checks have been finalized!')