How to use Google for Lead Generation: Python Bot for Automation
Challenges in Startups
Launching a startup is a journey filled with possibilities. However, there are many challenges faced by startups during this process. We’ll talk about the most common challenge faced by startups and will try to resolve it.
The most common problem is acquiring exact and reliable data to contact businesses.
Most of the new startups opt for pre-existing lead generation and email marketing tools to kick-start. However, there are a set of drawbacks associated with those tools.
- Higher Cost.
- Inaccurate Targeting
- Limited Lead Extraction
- Lack of Customization
Introducing a Revolutionary Solution
We present a game changer. Read this article and you will say hello to the Python Bot developed by ARF INTERACTIVES coupled with a free tool that was already available.
Step 1: Utilizing Google Maps
Google Maps is not only used for navigation. You can also use it to your advantage
- Explore businesses around your target market
- Access information like business name, location, website link, and contact numbers
The problem is not having enough time to do it all manually so you have to perform step 2 for automation
Step 2: Power of Instant Data Scrapper
Install a Chrome extension with the name Instant Data Scrapper that allows you to access all the vital information such as business name, location, opening hours, website, and contact number. It can automatically compile that data into an Excel sheet as shown in the picture below.
The other problem is not having email data fetched from scrapping.
To Solve that problem we are giving away free Python bot code to get emails from website links mentioned in Step3
Step3: Python Bot Code by ARF INTERACTIVES
Our Python code can automatically give you all the emails of businesses while just copying and pasting web links from an Excel sheet to this code.
This will help you in email marketing and getting more leads and sales for your business
“A helping hand can be a ray of sunshine in a cloudy world”
Scale your business using Google Maps, Instant Data Scrapper Tool, and our Python Bot.
import requests
import re
import time
def extract_emails_from_website(url):
try:
response = requests.get(url)
if response.status_code == 200:
emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', response.text)
return emails
elif response.status_code in [403, 406]:
print(f"Received status code {response.status_code}. Retrying...")
return retry_request(url)
else:
print(f"Failed to fetch {url}. Status code: {response.status_code}")
return []
except Exception as e:
print(f"Error occurred while fetching {url}: {e}")
return []
def retry_request(url):
max_retries = 3
retry_delay = 2
for attempt in range(1, max_retries + 1):
try:
print(f"Retry attempt {attempt}")
time.sleep(retry_delay)
response = requests.get(url)
if response.status_code == 200:
emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', response.text)
return emails
except Exception as e:
print(f"Error occurred during retry attempt {attempt}: {e}")
continue
print(f"Exceeded maximum number of retry attempts for {url}")
return []
def main():
websites = [import requests
import re
import time
def extract_emails_from_website(url):
try:
response = requests.get(url)
if response.status_code == 200:
emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', response.text)
return emails
elif response.status_code in [403, 406]:
print(f"Received status code {response.status_code}. Retrying...")
return retry_request(url)
else:
print(f"Failed to fetch {url}. Status code: {response.status_code}")
return []
except Exception as e:
print(f"Error occurred while fetching {url}: {e}")
return []
def retry_request(url):
max_retries = 3
retry_delay = 2
for attempt in range(1, max_retries + 1):
try:
print(f"Retry attempt {attempt}")
time.sleep(retry_delay)
response = requests.get(url)
if response.status_code == 200:
emails = re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', response.text)
return emails
except Exception as e:
print(f"Error occurred during retry attempt {attempt}: {e}")
continue
print(f"Exceeded maximum number of retry attempts for {url}")
return []
def main():
websites = [
"http://www.URL.com/"
# Add more website URLs here
]
unique_emails = set()
for website in websites:
emails = extract_emails_from_website(website)
unique_emails.update(emails)
print("Unique extracted emails:")
for email in unique_emails:
print(email)
if __name__ == "__main__":
main()
# Add more website URLs here
]
unique_emails = set()
for website in websites:
emails = extract_emails_from_website(website)
unique_emails.update(emails)
print("Unique extracted emails:")
for email in unique_emails:
print(email)
if __name__ == "__main__":
main()
