Scraping Intelligence has a robust MLS scraper that quickly gets real estate listings, property details, and market data from Multiple Listing Service databases.
The MLS Extractor API simplifies the method for real estate agents to get information about properties. This powerful data scraping tool connects directly to Multiple Listing Service platforms and fetches the listing details in organized formats that are ready for analysis. Real estate investors, brokers, and proptech companies use MLS data extraction to monitor the housing market, see how prices change, and find new market prospects.
The MSL data scraper API can manage thousands of property records at once and helps download the new data in JSON or CSV format. This MLS scraping tool is robust because it can download very specific listing information that would take much more manual research to put together. Every piece of information, from square footage and number of bedrooms to days on the market and pricing history, helps you make better investment choices.
The extraction procedure follows rate limitations and keeps uptime steady, which makes sure that data flows reliably for time-sensitive market analysis. The MLS Extractor API is the basis for data-driven real estate strategy, whether you are developing a property comparison site or figuring out how much an area is worth.
property_address_and_location_coordinates
listing_price_and_price_history
square_footage_and_lot_size
bedroom_and_bathroom_count
days_on_market_and_listing_status
property_type_and_year_built
agent_and_brokerage_information
property_photos_and_virtual_tour_links
The crawlers are 90% ready to go- just with a couple of clicks, and you are copying content with ease.
Input location filters (city, ZIP code) or specific MLS website URLs to extract real estate listings. The crawler scrapes key data such as photos, features, pricing data, property data, neighborhood, nearby schools, etc.
Download the structured data on property histories, neighborhood stats, and price fluctuations in your preferred format (CSV, Excel, JSON, HTML, etc.).
Run the MLS crawler weekly to track new property listings and monthly for market analysis reports.
Scrape data can be populated in various forms such as Excel spreadsheets, CSV, MySQL, MS-Access, XML, MSSQL, Text & HTML Files.
|
#
|
Title
|
House Type
|
Home Price
|
Location
|
Description
|
No of Beds
|
No of Rooms
|
Area
|
Features
|
Properties
|
|---|---|---|---|---|---|---|---|---|---|---|
|
1
|
Spacious Single-Family Home
|
Single Family House
|
$310,000
|
Jacksonville, FL
|
Modern 3 bed house close to city amenities
|
3
|
6
|
2,073 sqft
|
Garage, Backyard
|
For Sale
|
|
2
|
Comfortable Suburban Home
|
Single Family House
|
$2,450/month
|
Cape Coral, FL
|
Newly listed 4 bed home near schools
|
4
|
7
|
1,856 sqft
|
Pool, Fenced Yard
|
For Rent
|
|
3
|
Cozy Family Residence
|
Condo / Townhome
|
$299,000
|
Austin, TX
|
3 bed condo with updated interiors
|
3
|
5
|
1,330 sqft
|
Balcony, Parking
|
For Sale
|
[
{
"#": "1",
"Title": "Spacious Single-Family Home",
"House Type": "Single Family House",
"Home Price": "$310,000",
"Location": "Jacksonville, FL",
"Description": "Modern 3 bed house close to city amenities",
"No of Beds": "3",
"No of Rooms": "6",
"Area": "2,073 sqft",
"Features": "Garage, Backyard",
"Properties": "For Sale"
},
{
"#": "2",
"Title": "Comfortable Suburban Home",
"House Type": "Single Family House",
"Home Price": "$2,450/month",
"Location": "Cape Coral, FL",
"Description": "Newly listed 4 bed home near schools",
"No of Beds": "4",
"No of Rooms": "7",
"Area": "1,856 sqft",
"Features": "Pool, Fenced Yard",
"Properties": "For Rent"
},
{
"#": "3",
"Title": "Cozy Family Residence",
"House Type": "Condo / Townhome",
"Home Price": "$299,000",
"Location": "Austin, TX",
"Description": "3 bed condo with updated interiors",
"No of Beds": "3",
"No of Rooms": "5",
"Area": "1,330 sqft",
"Features": "Balcony, Parking",
"Properties": "For Sale"
}
]