Real Estate Market Insights & Data Enrichment

Lutra can help you perform web research and understand public data to develop market insights. Here are some top use cases for market research

Get live data from the web (e.g, Zillow, Redfin, public resources): Quickly pull listing details, historical price changes, and neighborhood info.
Merge Public Data Sources: Combine US Census data for the property’s ZIP code (median income, population growth, etc.) to assess long-term potential.
Assess Competition: Ask Lutra to research similar properties for sale or rent to estimate your best market position.

Target the Right Agents: Research real estate agents on: pull their sales count, ratings, and reviews from public sources.
Contact Data: Use Lutra’s web research to find agent emails or phone numbers from the public websites.

Sales & Rent Comps: Generate side-by-side comparisons of recent transactions or current listings in the area.
Fill Out Spreadsheets of Comparables: Ask Lutra to create or update a spreadsheet with all the relevant property comps, including address, property type, square footage, listing price, and final sale price.
Neighborhood Trend Reports: Automate the process of summarizing rent or sales trends in a particular ZIP code or region.

Identify Investment Opportunities: Extract online listings, auctions, or local records for properties under market value or in specific ZIP codes.
Enrich Large Property Lists: Provide a Google Sheet with property addresses and ask Lutra to find missing details (e.g., owner name, assessed value, year built).

Lutra's capabilities

Web research: Lutra can search the web, read and analyze data from multiple websites. It can further extract and merge the data into a single, structured format.
Out of the box integrations
- Spreadsheets & Docs: Populate Excel or Google Sheets with property insights and specific information you need from.
- Drive & PDF Handling : Upload official documents or property records for AI-based data extraction. You can also provide a Google Drive folder of files to process.
AI-powered analysis
Lutra’s large language model understands context - so it can interpret a property’s key features, local competition, or agent performance metrics, and produce consistent, accurate outputs.
Playbooks
Save any search, analysis, or enrichment workflow as a Playbook. Share these real estate automations within your team, or schedule them to run on a recurring basis.

Start a Chat
Begin a new Chat in Lutra and specify your real estate task. For example:
1. “Web research to find the listing details and average rent of 3-bedroom apartments in ZIP code 94040..”
Connect or upload data
- Connect: Let Lutra pull from Zillow or other real estate databases automatically when needed.
- Upload: Provide spreadsheets of property addresses or agents, or link to PDF records for AI extraction.
Refine & Verify
- If Lutra misses a detail, like square footage or agent email, give it feedback by telling it what it missed.
- If there are multiple pieces of similar looking data on the page (e.g., sales in last 12 months, and total sales), tell Lutra to get both pieces since it'll be less ambiguous.
- You can also ask for more analysis or processing: “Include a summary of each property’s neighborhood rating or school district info.”
Export & Automate
- Ask Lutra to “save the result in a Google Sheet” or “email me the results.”
- Convert successful steps into a Playbook to standardize recurring tasks like comp analysis or agent qualification.

Be Specific : Mention the exact fields you want—e.g., “Zillow rating,” “average DOM (days on market),” or “median home value in that ZIP code.”
Start Small : Test your workflow on a few sample addresses or agents before scaling up to large lists.
Iterate & Feedback : Lutra learns from your prompts—if the data is incomplete or needs extra fields, just say so.
Automate : Once you’re satisfied with the workflow, create a Playbook to run it regularly without manual input.