Email scraping

If you're talking about how to do it.
You can use Python's BeautifulSoup or Scrapy.

python
import re, requests
from bs4 import BeautifulSoup

def extract_emails(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
return re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', soup.get_text())


Also always get permission before collecting emails.
 
Tools like Web Scraper or Data Miner can extract emails, but always use them responsibly.
Also, you can try Scrappy which is very advanced tool for Scrapping. Hope this helps
 
You need to be a bit more specific, where do you want to collect them from and what's the use case? This can either be easy, or very hard depending on the target. It's also worth thinking about if you actually need these or if there's a better way to get more qualified "leads" if that's what you are after.
 
If you're talking about how to do it.
You can use Python's BeautifulSoup or Scrapy.

python
import re, requests
from bs4 import BeautifulSoup

def extract_emails(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
return re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', soup.get_text())


Also always get permission before collecting emails.
Can you share a documentation or reference for this?

Does OP need to change the "url" to an actual URL you want to scrape the email from? A doc would definitely help better.
 
Learn Scrapebox for scraping. Thank me later..

But, but scraped lists are hard to monetize. If you do not have a purpose already, there is a risk of burning a lot of money in scraping and planning its use.
 
Create a POST in the WTB section, many BHW members have awesome data scrapping tools.
 
Hi, i want to learn how to scrape emails so i can build my own email list. someone who wants to help me?
Start a news site and gather emails from there. Or you can create another type of blog that you can monetise even and gather emails from there.
 
well you can create a blog or news site and ask them to sign up , and that way you can get email addresses of audience of relevant content
 
If you're talking about how to do it.
You can use Python's BeautifulSoup or Scrapy.

python
import re, requests
from bs4 import BeautifulSoup

def extract_emails(url):
response = requests.get(url)
soup = BeautifulSoup(response.text, 'html.parser')
return re.findall(r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b', soup.get_text())


Also always get permission before collecting emails.
Hello, I try to did it in python with claude ai, i try with différents collections but nothing is working, i still have 0 résults .. Is there always possible ?
import re
import requests
from bs4 import BeautifulSoup
import time

headers = {
“User-Agent”: (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
“Chrome/124.0.0.0 Safari/537.36”
)
}

def extract_google_links(google_search_url):
"""Gets real links from a Google search page."""
try:
r = requests.get(google_search_url, headers=headers, timeout=10)
soup = BeautifulSoup(r.text, 'html.parser')
links = []

for a in soup.find_all("a"):
href = a.get("href")
if href and "/url?q=" in href:
url = href.split("/url?q=")[1].split("&")[0]
if not url.startswith("http"):
continue
links.append(url)

return links
except Exception as e:
print(f"[Google Error] {e}")
return[]

def extract_emails_from_url(url):
"""Retrieves all emails from a web page."""
try:
r = requests.get(url, headers=headers, timeout=10)
soup = BeautifulSoup(r.text, 'html.parser')
emails = set(re.findall(
r"[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}",
soup.get_text()
))
return emails
except Exception as e:
print(f"[Site error] {url} → {e}")
return set()

# -----------------------------
# User input
# -----------------------------
print("Paste Google search URLs (one per line). Type '/' to launch:\n")

urls = []
while True:
line = input()
if line.strip() == "/":
break
if line.strip():
urls.append(line.strip())

print(f"\n {len(urls)} Google requests received. Start of scraping...\n")

all_emails = set()

for google_url in urls:
print(f"\n Google query: {google_url}")
links = extract_google_links(google_url)
print(f" ➜ {len(links)} links found")

for link in links:
print(f" ➤ Reading from: {link}")
emails = extract_emails_from_url(link)

for email in emails:
if email not in all_emails:
all_emails.add(email)
print("", email)

time.sleep(3) # Pause to avoid blocking

# -----------------------------
# Final result
# -----------------------------
print(f"\n✅ Scraping complete. {len(all_emails)} unique emails found:\n")
for email in sorted(all_emails):
print("-", email)
 
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