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Connecting to Data · Legacy self-service product

Multiple Listing Service (MLS)

Import real estate listing data for market analysis and tracking

You're viewing documentation for the legacy Scoop self-service product. For the current product, see What Is Scoop.

Overview

Multiple Listing Services (MLS) contain critical real estate data—listings, sales, prices, days on market—but this data is often locked inside MLS portals with limited export options. Scoop can import your MLS data to enable AI-powered market analysis, historical tracking, and blending with marketing spend to understand true ROI.

What You Can Analyze

Data Type Example Questions
Market Trends "How have prices in this zip code changed?"
Inventory "What's the current months-of-supply by area?"
Performance "Average days-on-market by listing agent?"
Pricing "List-to-sale price ratio by neighborhood?"
Marketing ROI "Revenue generated per $1,000 marketing spend?"
Competition "Market share by brokerage this quarter?"

Importing MLS Data

The Scoop bot can automatically extract data from many MLS systems:

  1. Contact Scoop support to configure MLS integration
  2. Provide your MLS login credentials
  3. Specify which reports/data to extract
  4. Set your sync frequency (daily recommended)

Option 2: Manual Export

Most MLS systems allow some form of data export:

  1. Log into your MLS portal
  2. Run your desired search or report
  3. Export to CSV or Excel
  4. Upload to Scoop as a new dataset

Option 3: Email Report Forwarding

If your MLS emails reports:

  1. Forward MLS report emails to your Scoop ingest address
  2. Scoop automatically processes attachments
  3. Data appears in your workspace

See Email Automated Imports for setup.

Key Data to Import

Active Listings

Current inventory:

  • Property address and details
  • List price and original list price
  • Days on market
  • Listing agent and brokerage
  • Property features

Sold/Closed Listings

Historical transactions:

  • Sale price and date
  • Days on market to close
  • List-to-sale ratio
  • Buyer's agent and seller's agent
  • Concessions and terms

Pending/Under Contract

Pipeline visibility:

  • Properties under contract
  • Pending sale price
  • Expected close date

Expired/Withdrawn

Market feedback:

  • Why listings didn't sell
  • Price vs. expired inventory
  • Seasonal patterns

Snapshotting MLS Data

MLS data changes daily. Scoop's snapshot feature is essential for:

  • Daily inventory snapshots
  • Price change tracking
  • Days-on-market evolution

Historical Analysis

  • Compare current market to 6 months ago
  • Identify seasonal patterns
  • Track market cycles

Competitive Intelligence

  • Monitor competitor listings
  • Track market share changes
  • Agent/brokerage performance trends

See Snapshot Datasets for setup.

Blending with Other Data

Source Analysis Enabled
Marketing Spend ROI by campaign, channel, or property
Google Analytics Website traffic to listing views
CRM (Salesforce) Lead-to-close conversion
Transaction Management Full deal pipeline
Advertising Cost per lead by property type

Example: Marketing ROI Analysis

Ask Scoop:
"Show revenue generated from closed deals
versus marketing spend by zip code this quarter"

Best Practices

Daily Snapshots

MLS data changes constantly:

  • New listings appear
  • Prices change
  • Status updates occur
  • Properties close

Daily snapshots capture this movement for trend analysis.

Include All Statuses

Don't just track active listings:

  • Active (current inventory)
  • Pending (pipeline)
  • Sold (performance measurement)
  • Expired/Withdrawn (market feedback)

Standardize Geography

Ensure consistent geographic coding:

  • Zip code or postal code
  • City/municipality
  • County
  • Custom market areas

Track Agent Data

Include agent/brokerage fields for:

  • Market share analysis
  • Performance benchmarking
  • Competitive intelligence

Common Use Cases

Market Analysis

Understand market conditions:

"What's the average list-to-sale ratio by price tier in my market?"

Inventory Tracking

Monitor supply trends:

"Show months-of-supply trend over the past 12 months"

Agent Performance

Benchmark productivity:

"Average sales volume per agent by brokerage"

Pricing Strategy

Inform pricing decisions:

"What's the optimal list price for a 3BR in this zip code based on recent sales?"

Marketing Attribution

Connect spend to results:

"Which marketing channels produced the highest-value closed deals?"

Seasonal Analysis

Plan for market cycles:

"Compare inventory levels and prices: spring vs. fall markets"

MLS-Specific Metrics

Metric What It Shows
DOM (Days on Market) Time from list to contract
CDOM (Cumulative DOM) Total time including relists
List-to-Sale Ratio Pricing accuracy
Months of Supply Market balance (buyer's vs. seller's)
Absorption Rate How fast inventory sells
Price per Sq Ft Normalized pricing

Troubleshooting

Can't Export from MLS

  • Check your MLS membership level/permissions
  • Some MLS systems restrict bulk exports
  • Contact Scoop for bot-based extraction options

Data Quality Issues

  • MLS data depends on agent input accuracy
  • Verify key fields (price, DOM, status) are populated
  • Some fields may be optional in your MLS

Historical Data Limited

  • Most MLS systems purge old data
  • Start snapshotting now to build history
  • Some MLS vendors offer historical data products

Geographic Mismatches

  • MLS areas may not match other data sources
  • Standardize on zip code when possible
  • Create mapping tables for custom areas

Updated October 19, 2026