Property Tour Request Logs

This dataset logs detailed records of property tour requests, capturing buyer and agent information, property details, request and assignment timestamps, and tour outcomes. It enables real estate teams to optimize agent assignments, monitor buyer engagement, and analyze the effectiveness of property tours for improved sales and operational efficiency.

  • last updated 12 Jul 2025
  • by GoMask
The brief that made it

Optimizing real estate agent assignments based on tour demand and scheduling

Sample rows

preview · 8 of 60 rows · all 24 columns
tour_request_idstringlead_sourcestringproperty_statestringproperty_idstringproperty_street_addressstringproperty_citystringproperty_postal_codestringproperty_countrystringrequest_datetimedatetimerequested_tour_datetimedatetimebuyer_idstringbuyer_first_namestringbuyer_last_namestringbuyer_emailstringbuyer_phonestringagent_idstringagent_first_namestringagent_last_namestringagent_emailstringassignment_datetimedatetimetour_statusstringtour_completion_datetimedatetimecancellation_reasonstringnotesstring
TRQ20240601001websiteCOPROP3001123 Maple AveDenver80209USA2024-06-01T09:13:002024-06-03T14:00:00BUY1001EmilyNguyenemily.nguyen@gmail.com720-555-1283AGT5005TroyBennetttroy.bennett@denverhomes.com2024-06-01T10:00:00scheduledblankblankBuyer prefers late afternoon slots.
TRQ20240601002mobile appCOPROP30023412 Spruce StAurora80012USA2024-06-01T10:34:002024-06-04T11:45:00BUY1002CarlosMendezcarlos.mendez@yahoo.com303-555-1632AGT5002SarahFletchersarah.fletcher@coloradorealty.com2024-06-01T11:10:00scheduledblankblankRequested to tour with partner.
TRQ20240601003referralCOPROP30032180 Oak LaneBoulder80302USA2024-06-01T11:20:002024-06-07T16:00:00BUY1003PriyaPatelpriya.patel@outlook.com720-555-3411AGT5005TroyBennetttroy.bennett@denverhomes.com2024-06-01T12:00:00completed2024-06-07T16:45:00blankblank
TRQ20240601004third-party portalCOPROP3001123 Maple AveDenver80209USA2024-06-01T12:45:002024-06-05T15:30:00BUY1004LucasMartinezl.martinez@gmail.com720-555-7777blankblankblankblankblankrequestedblankblankFirst-time homebuyer.
TRQ20240601005websiteCOPROP3004456 Pine StFort Collins80524USA2024-06-01T13:00:002024-06-09T10:00:00BUY1005MiaKimmiakim@gmail.com970-555-3456AGT5003MorganReedmorgan.reed@fortcollinsrealty.com2024-06-01T13:25:00scheduledblankblankblank
TRQ20240601006referralCOPROP3005890 Willow RdLittleton80120USA2024-06-01T13:42:002024-06-10T13:30:00BUY1006DavidHernandezdhernandez@gmail.com303-555-9988blankblankblankblankblankrequestedblankblankPrefers homes with large backyards.
TRQ20240601007mobile appCOPROP30023412 Spruce StAurora80012USA2024-06-01T14:11:002024-06-06T09:30:00BUY1007SophiaKingsophia.king@hotmail.com720-555-4444AGT5002SarahFletchersarah.fletcher@coloradorealty.com2024-06-01T14:45:00completed2024-06-06T10:05:00blankblank
TRQ20240601008third-party portalCOPROP30061777 Birch DrGreeley80631USA2024-06-01T15:00:002024-06-12T12:30:00BUY1008AlexJohnsonalex.johnson@gmail.com970-555-1122blankblankblankblankblankrequestedblankblankblank

What the 60 rows show

from the 60-row sample
lead_source60 rows by value
0153023website38%14referral23%12mobile a…20%11third-pa…18%
property_state60 rows · top 10 of 26 values
  1. CO31
  2. PA2
  3. AZ2
  4. OH2
  5. ND2
  6. WA1
  7. MN1
  8. FL1
  9. KS1
  10. TX1
24 columns by typefrom the column list below
  • string 20
  • datetime 4

Columns

24 columns in two groups
blueprint · 24 columns
columntypedescriptionexample
Text 20 columns
tour_request_idstringUnique identifier for each property tour requestuniqueTRQ20240601001
property_idstringUnique identifier for the property being touredPROP3001
property_street_addressstringStreet address of the property123 Maple Ave
property_citystringCity where the property is locatedDenver
property_statestringState or province where the property is locatedCO
property_postal_codestringPostal or ZIP code of the property80209
property_countrystringCountry where the property is locatedUSA
buyer_idstringUnique identifier for the potential buyer requesting the tourBUY1001
buyer_first_namestringFirst name of the potential buyerEmily
buyer_last_namestringLast name of the potential buyerNguyen
buyer_emailstringEmail address of the potential buyeremily.nguyen@gmail.com
buyer_phonestringPhone number of the potential buyeroptional720-555-1283
agent_idstringUnique identifier for the assigned real estate agentoptionalAGT5005
agent_first_namestringFirst name of the assigned agentoptionalTroy
agent_last_namestringLast name of the assigned agentoptionalBennett
agent_emailstringEmail address of the assigned agentoptionalevan.ramos@baycityre.com
tour_statusstringCurrent status of the tour request (e.g., requested, scheduled, completed, canceled, no-show)requested · scheduled · completed · canceled · no-showscheduled
cancellation_reasonstringReason for cancellation if the tour was canceledoptionalBuyer unavailable due to …
notesstringAdditional notes or comments related to the tour requestoptionalFirst-time homebuyer.
lead_sourcestringSource from which the tour request originated (e.g., website, mobile app, referral, third-party portal)4 sources · optionalwebsite
Dates and times 4 columns
request_datetimedatetimeDate and time when the tour request was submitted2024-06-01T09:13:00
requested_tour_datetimedatetimePreferred date and time for the property tour as requested by the potential buyer2024-06-03T14:00:00
assignment_datetimedatetimeDate and time when the agent was assigned to the tour requestoptional2024-06-01T10:00:00
tour_completion_datetimedatetimeDate and time when the tour was completed (if applicable)optional2024-06-07T16:45:00

Use it for

  • rows6024 columnsrows by lead source23webs…14refe…12mobi…11thir…

    A real estate dashboard

    A breakdown of property_state. Excel, Power BI or Tableau.

  • What pattern can you find in 60 rows?

    A class exercise

    Hand out the rows and one question. Everyone works from the same 60 rows.

  • A software demo

    Believable tour requests with property_id, property_street_address and property_city to fill a screen in front of a buyer.

Not quite right?

Make it yours.

Same 24 columns, your size and your rules. See 20 rows before you pay.

Preview 20 rows free

1,000 rows: $1.99 · 10,000: $12.99One-time. No subscription. All prices

This dataset60 rows24 columns
Yours1,000 rows24 columnsproperty_street_address: UK only

blueprint · property-tour-request-logs

Behind this dataset

Same schema. As many rows as you need.

These 60 rows came out of a blueprint — 24 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.

Rules it was built with
  • Log each tour request per property
  • Record customer and agent details
  • Timestamp requests and scheduled tours
  • Flag same-day requests
  • Exclude cancelled tours from analysis
Rows
Open the blueprint in Data Factory

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Exports
CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
Licence
yours to use, including commercially
API slug
property-tour-request-logs

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