Send each seller a weekly neighborhood market update that Claude builds from your MLS feed
Austin agent William Zhang, founder of Real Estate AI Society, connected Claude to his licensed MLS data feed and now has Claude build the weekly seller update: every listing change in the seller's subdivision over the last 30 days, counted by type (price decreases, new listings, active under contract, back on market, withdrawn, expired, closed) with the largest price cuts called out. In one Austin subdivision Claude found 26 listings with 37 change events, 12 of them price decreases.
At a glance
- Tools used
- ClaudeMLS data feed
- Category
- Client communication
- Audience
- agent, team lead
- Difficulty
- No-code setup
- Source
- Claude AI MLS Data: 6 Jobs It Does for Buyers and Sellers
William Zhang (Real Estate AI Society) · Blog · Sep 19, 2026 - First step
- Confirm how your MLS allows licensed data access before connecting Claude (the author got a warning letter for running a headless browser against his MLS), then run the update prompt for one active listing's subdivision.
Compliance note: Use licensed MLS data access only; automated browser access can violate MLS rules. Check your MLS's rules on sharing listing data with clients, and review every number before the update goes to a seller. The pricing advice in the email stays yours.
Suggested prompt
Written by this directory, inspired by the source. Replace the [bracketed] parts.
Using my MLS data, pull every listing change event in [subdivision] for homes between [min] and [max] square feet over the last 30 days. 1. Count the distinct listings with a change and the total change events. 2. Break the events down by type: price decreases, new listings, active under contract, back on market, on hold, withdrawn, pending, expired, closed. 3. List the three largest price cuts with the dollar amount and what happened to each listing afterward. 4. Note where my seller's listing at [address] sits: days on market and any price changes. Write the result as a short weekly email to my seller, [first name], in plain language. Report only what the MLS data shows; do not predict prices or tell the seller what to do. I will add my recommendation myself.