MLS Scraper

MLS Scraper is an advanced scraping solution for public MLS data extraction in real-time. Follow this guide to see how to easily scrape MLS using Oxylabs’ Scraper API.

How it works

MLS results can be retrieved by sending a request to our API. Simply provide the URLs you want to scrape, and the API will return the HTML of any MLS page.

Python code example

The code below illustrates how to scrape MLS listing page and get its HTML file:

import requests
from pprint import pprint

# Structure payload.
payload = {
   'source': 'universal',
   'url': 'https://mls.foreclosure.com/listing/search.html?ci=bay%20shore&st=ny&utm_source=internal&utm_medium=link&utm_campaign=MLS_top_links'
}

# Get a response.
response = requests.request(
    'POST',
    'https://realtime.oxylabs.io/v1/queries',
    auth=('USERNAME', 'PASSWORD'), #Your credentials go here
    json=payload,
)

# Instead of a response with job status and results URL, this will return the
# JSON response with results.
pprint(response.json())

Visit our documentation for more details.

Output sample

{
    "results": [
        {
            "content":"<!doctype html>\n<html lang=\"en\">\n<head>
            ...
            </script></body>\n</html>\n",
            "created_at": "2023-11-14 15:41:18",
            "updated_at": "2023-11-14 15:41:34",
            "page": 1,
            "url": "https://mls.foreclosure.com/listing/search.html?ci=bay%20shore&st=ny&utm_source=internal&utm_medium=link&utm_campaign=MLS_top_links",
            "job_id": "7130218141837191169",
            "status_code": 200,
        }
    ]
}

Oxylabs’ MLS Scraper API simplifies your scraping efforts by providing a way to extract public MLS data without blocks and with speed. You can extract details about properties, agents, locations, rental price information, and more. Feel free to reach us via live chat or email in case you have any questions.

oxylabs/mls-scraper

MLS Scraper

How it works

Python code example

Output sample