Turn any listings site into a live, self-updating database. Point a robot at the properties you care about, get structured rows, and let monitoring alert you the moment a price drops, a status changes, or a new property hits the market. No code, any site.
New listings appear, prices get cut, statuses move from active to pending to sold. A one-time scrape is stale within hours. Monitoring keeps your database current and tells you the moment something moves, on a schedule from every minute to monthly.
Get alerted when a property that matches your search hits the market.
Catch every cut, with the old and new price side by side in the alert.
Follow active to pending to sold across entire markets.
Spot listings going stale and sellers getting motivated.
Watch rates and vacancies across rental and vacation sites.
Alerts arrive by email, webhook, or a fresh row in your sheet. Each alert shows exactly what changed, with the full history kept for every field.
One-click starts for the major platforms, residential to commercial, US and UK. Every robot extracts structured rows and can monitor for changes from day one.
Monitor listings and price cuts across any search, and pull agent rosters for lead lists.
Use this robot →Track residential listings and sale prices at scale, market by market.
Use this robot →Build a rentals database and watch rates and availability move.
Use this robot →Watch vacation rental pricing and availability by market.
Use this robot →Track commercial listings the moment they hit the market.
Use this robot →Monitor UK agents and their listings for market coverage.
Use this robot →
Prebuilt robots are accelerators, not the ceiling. Train a custom robot on any listings portal, brokerage site, auction site, or public records page in minutes.
Chain robots into workflows that go from search results to full property records, then run them across every market you cover. Because each robot is an AI agent that opens a real browser and acts like a human visitor, it reaches listings behind search filters, logins, and the bot detection that blocks script-based scrapers.
Extracts every listing from a search or map page into structured rows, with the listing URL for each.
Visits each listing URL and pulls the full record: history, agent, lot details, everything on the page.
Run the workflow across hundreds of thousands of listing URLs in a single job, on a schedule.
Robots write structured rows. Send them to Google Sheets the moment a check finishes, download CSV or JSON, pull them through the API, push changes through webhooks into 7,000+ apps, or load them straight into your warehouse.
See the Zapier integration →
For enterprise-scale or complex multi-source databases, our managed service builds and maintains the robots for you and delivers a complete, continuously refreshed dataset. Real estate groups like Ray White and RE/MAX work with us this way.
Managed contracts include a 98% data-accuracy SLA, and most teams are live within 1 to 2 weeks.
Everything teams ask before they start scraping and monitoring real estate data.
Real estate data scraping is the automated extraction of structured property information, such as prices, addresses, beds, baths, square footage, and listing status, from real estate websites. Browse AI does this with AI-powered robots you train by pointing and clicking, then keeps the data fresh by monitoring the source pages for changes.
Yes. You train a robot by clicking on the data you want on any listings or property page. The robot learns the pattern, extracts it into structured rows, and runs on a schedule. No coding is required at any step.
Any website you can open in a browser. Prebuilt robots are available for Redfin, Compass, Apartments.com, Airbnb, LoopNet, and Rightmove, and you can train a custom robot on any other listings portal, brokerage site, auction site, or public records page.
Common fields include price, address, square footage, beds and baths, listing status, days on market, agent information, rental rates and availability, historical sale data, and public records such as mortgage, loan, and insurance information.
Turn on monitoring for any robot and choose a schedule. The robot re-checks the page, compares new rows to the last run, and alerts you by email, webhook, or an update to your connected spreadsheet the moment something changes.
Anywhere from every minute to monthly. Most real estate teams check high-priority searches every 15 minutes to hourly, and run broader market scans daily or weekly.
Yes. Robots can write rows directly to Google Sheets or Airtable on every run, and you can download results as CSV or JSON, pull them through the API, or push them to 7,000+ apps through Zapier.
Robots run on real browser infrastructure with built-in handling for dynamic content, geolocation, logins, and common protections such as reCAPTCHA and hCaptcha. When a site changes its layout, robots auto-adapt instead of breaking.
For most teams, yes. A Python scraper takes days to build, breaks when the site changes, and needs its own proxy, CAPTCHA, scheduling, and alerting infrastructure. A Browse AI robot is trained in minutes, auto-adapts to site changes, and has monitoring and alerts built in.
An AI agent can grab a page once. Real estate work needs the same data reliably, on a schedule, across thousands of listings, structured the same way every time. Browse AI is built for that: monitoring that tells you what changed, full history you can audit, retries and bot-detection handling, and delivery straight into your sheet, warehouse, or model, without hallucinated fields. A one-off answer versus a production data pipeline.
Yes. Chain a search results robot into a property details robot to deep scrape entire markets, then bulk-run the workflow across hundreds of thousands of listing URLs in one job.
Robots extract exactly the fields you point at, directly from the live page, so the data matches what the site displays at the time of each run. Monitoring keeps the dataset aligned with the source, and change history shows what moved and when.
Yes. Investors monitor searches for new listings, price cuts, days-on-market changes, and foreclosure or auction activity, then send the rows to a spreadsheet or model to flag properties that match their criteria the moment they appear.
Our managed service builds and maintains the robots for you and delivers a complete, continuously refreshed dataset across multiple sources. Real estate groups like Ray White and RE/MAX work with us this way. Talk to sales to scope it.
Train your first robot free in minutes. No code, no credit card.
