Python code to scrape MLS listings

Hi All! I’m looking to build a personal scraper for MLS listings that I can automate into a spreadsheet and also look into if the address meets opportunity zones and get an idea of the property’s avg income data based on ' I am currently in step one. How would I go about doing this? I receive an error ‘"aborted.’, RemoteDisconnected(‘Remote end closed connection without response’)

Repl link:

import requests
from bs4 import BeautifulSoup

# URL of MLS listings page
url = "mlspin_url_here"

# Credentials for logging in
username = "my_username_here"
password = "my_password_here"

def login_session(username, password):
    # Create a session object to persist cookies across requests
    session = requests.Session()
    # URL of the login page
    login_url = "mls_login_url_here"
    # Parameters for the login POST request
    login_data = {
       'ctl00$Body$Login$UserName': username,
        'ctl00$Body$Login$Password': password,
        'ctl00$Body$Login$LoginButton': 'Sign In'
    # Send a POST request to login
    response =, data=login_data)
    # Check if login was successful (redirects to another page)
    if response.status_code == 200 and "Redirect" in response.text:
        print("Login successful.")
        return session
        print("Login failed.")
        return None

def scrape_mls_listings(url):
        # Send a GET request to the URL
        response = requests.get(url)
        # Check if the request was successful (status code 200)
        if response.status_code == 200:
            # Parse the HTML content
            soup = BeautifulSoup(response.content, 'html.parser')
            # Find all listing items
            listings = soup.find_all('div', class_='listing')
            # Iterate over each listing and extract relevant information
            for listing in listings:
                # Extract details like address, price, etc.
                address = listing.find('div', class_='address').text.strip()
                price = listing.find('div', class_='price').text.strip()
                beds = listing.find('div', class_='beds').text.strip()
                baths = listing.find('div', class_='baths').text.strip()
                sqft = listing.find('div', class_='sqft').text.strip()
                # Print the extracted information
                print(f"Address: {address}")
                print(f"Price: {price}")
                print(f"Beds: {beds}")
                print(f"Baths: {baths}")
                print(f"Square Feet: {sqft}")
            print("Failed to retrieve MLS listings. Status code:", response.status_code)
    except requests.exceptions.RequestException as e:
        print("An error occurred during the request:", e)

# Call the function to scrape MLS listings

Hello @antoniolopezjr1, welcome to Replit Ask!

Could you please elaborate on what your issue is?

This is the problem OP faces- did you miss this bit?

1 Like

Could you please provide the exact error?