AI Real Estate Parser
Turn showing and portal lead emails into rows in Google Sheets or your CRM. Upload your first email and Airparser suggests the fields and parses it. Leases and property documents work too.
Showing and Lead Emails, Parsed Automatically
Real estate professionals get dozens of notification emails every day: showing requests and confirmations from platforms like ShowingTime, SentriLock and BrokerBay, and enquiries from property portals such as Rightmove, Zoopla and idealista. The details get buried in inboxes and end up copied by hand into spreadsheets, CRMs and calendars.
Airparser reads each email and turns it into data: property address, showing date and time, agent contacts, MLS ID and listing price for showings; name, phone, email, the property asked about and the message for enquiries. Send it to Google Sheets, your CRM or any app through Zapier, Make, n8n, webhooks or the API.
What Airparser Extracts from These Emails
- Property address and listing details
- Showing date and time
- MLS ID, listing price and status
- Agent contacts and brokerage
- Enquirer name, phone and email
- Property asked about and the enquiry message
Forward the emails to your Airparser inbox, manually or with an automatic rule in Gmail or Outlook. Upload the first one and Airparser suggests the fields and parses it; adjust the schema if you want, and every new email is parsed the same way and sent on to Google Sheets, or to HubSpot, Airtable and other CRMs through Zapier or Make.
What is an AI Real Estate Parser?
A real estate parser reads emails and documents and turns the details inside them into structured data. Instead of copying addresses, contacts, prices and dates into a spreadsheet or CRM by hand, you choose the fields once and every new email or document is filled in for you.
Airparser uses LLM and vision models to read emails, PDFs and scans, and extracts key information such as:
- Lead details from portal enquiries (name, phone, email, message)
- Showing email data (MLS ID, agent contacts, appointment times)
- Listing details (price, subdivision, brokerage)
- Property addresses and descriptions
- Lease terms and rental amounts
- Purchase prices and closing dates
- Tenant and landlord information
- Contract dates and renewal terms
What you get
Process Any Real Estate Document
Documents work the same way: upload one and Airparser suggests the fields and parses it. No templates to build.
Lease Agreements
Residential and commercial lease contracts
Purchase Contracts
Real estate purchase agreements and contracts
Property Documents
Property reports, inspections, and disclosures
Application Forms
Rental applications and tenant screening forms
Showing & Lead Emails
Showing notifications and portal enquiries (ShowingTime, MLS, Rightmove, Zoopla, idealista)
Complete Real Estate Data Extraction
Extract Every Detail
Property Information
Address, property type, square footage, bedrooms, bathrooms
Party Details
Tenant names, landlord information, contact details
Financial Terms
Rent amount, security deposit, purchase price, fees
Key Dates
Lease start/end dates, renewal dates, closing dates
Legal Terms
Lease terms, renewal options, termination clauses
Compliance Data
Property disclosures, inspection results, compliance status
Showing Details
MLS ID, showing times, agent contacts, listing status, brokerage info
Sample Extracted Data:
{
"document_type": "Lease Agreement",
"property": {
"address": "123 Main Street, San Francisco, CA 94102",
"property_type": "Apartment",
"square_feet": "850",
"bedrooms": "2",
"bathrooms": "1"
},
"tenant": {
"name": "John Smith",
"email": "[email protected]",
"phone": "+1 (555) 123-4567"
},
"landlord": {
"name": "ABC Property Management",
"contact": "[email protected]"
},
"lease_terms": {
"monthly_rent": "$2,500",
"security_deposit": "$2,500",
"lease_start": "2024-02-01",
"lease_end": "2025-01-31",
"renewal_option": "Automatic renewal for 1 year"
},
"key_dates": {
"signature_date": "2024-01-15",
"move_in_date": "2024-02-01"
}
}How AI Real Estate Document Parsing Works
1. Upload Your First Email or Document
Upload a sample, or forward emails to your dedicated Airparser inbox. The fields to extract are detected and the first one is parsed automatically.
2. Fine-tune the Fields
If something is off, edit the schema: rename, add or remove fields and describe each one for more control and precision.
3. Get Clean Data
Access structured data via API, export to Google Sheets or CSV, or send it to your CRM and other apps through Zapier, Make, n8n and webhooks.
Real Estate Document Parsing Use Cases
Property Management
Automate lease processing and tenant data entry for faster property management workflows.
Real Estate Agents & Brokers
Extract showing and enquiry data from emails and send it to Google Sheets or your CRM. Track showing activity and follow up on every lead. Works with emails from ShowingTime, MLS, brokerages and property portals.
Portfolio Management
Generate insights on lease terms, renewal dates, and property performance automatically.
Tenant Screening
Extract application data and tenant information for faster screening processes.
Compliance Management
Track lease terms, renewal dates, and compliance requirements automatically.
Accounting & Finance
Automate rent roll and financial data extraction for accurate property accounting.
Operations & Analytics
Build dashboards to track showing trends, agent performance, and most viewed properties. Export parsed showing data to Airtable, Notion, or Google Data Studio for real-time visibility.
What our customers say
