BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points
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Verified Data Provider| # | owner.fullName |
owner.names.0.first |
owner.names.0.full |
owner.names.0.last |
owner.names.0.middle |
owner.names.1.first |
owner.names.1.full |
owner.names.1.last |
owner.names.1.middle |
address.street |
address.city |
address.state |
address.zip |
address.zipPlus4 |
address.county |
owner.mailingAddress.street |
owner.mailingAddress.city |
owner.mailingAddress.state |
owner.mailingAddress.zip |
owner.mailingAddress.zipPlus4 |
owner.mailingAddress.county |
_id |
general.propertyTypeCategory |
general.propertyTypeDetail |
building.bedroomCount |
building.bathroomCount |
building.totalBuildingAreaSquareFeet |
lot.lotSizeSquareFeet |
building.yearBuilt |
assessment.totalAssessedValue |
owner.ownerOccupied |
owner.lengthOfResidenceMonths |
owner.lengthOfResidenceYears |
sale.lastSale.price |
sale.lastSale.recordingDate |
intel.lastSoldPrice |
intel.lastSoldDate |
address.cityAliases |
address.formattedStreet |
address.geoStatus |
address.geoStatusCode |
address.localities |
address.normalized |
address.oldHashes |
address.streetNoUnit |
address.unitNumber |
address.unitType |
assessment.assessedImprovementValue |
assessment.assessedLandValue |
assessment.assessmentYear |
assessment.improvementMarketValue |
assessment.landMarketValue |
assessment.marketValueYear |
assessment.totalMarketValue |
building.airConditioningSource |
building.airConditioningSourceCode |
building.atticFinishedSquareFeet |
building.atticSquareFeet |
building.atticUnfinishedSquareFeet |
building.basementFinishedSquareFeet |
building.basementSquareFeet |
building.basementType |
building.basementTypeCode |
building.basementUnfinishedSquareFeet |
building.bathFixtureCount |
building.buildingClass |
building.buildingClassCode |
building.buildingCondition |
building.buildingConditionCode |
building.buildingCount |
building.buildingQuality |
building.buildingQualityCode |
building.calculatedBathroomCount |
building.constructionType |
building.constructionTypeCode |
building.driveway |
building.drivewayCode |
building.effectiveYearBuilt |
building.exteriorWalls |
building.exteriorWallsCode |
building.features |
building.fireplaceCount |
building.floorCover |
building.floorCoverCode |
building.fullBathroomCount |
building.garage |
building.garageCode |
building.garageFinishedSquareFeet |
building.garageParkingSpaceCount |
building.garageSquareFeet |
building.garageUnfinishedSquareFeet |
building.groundFloorAreaSquareFeet |
building.heatingFuelType |
building.heatingFuelTypeCode |
building.heatSource |
building.heatSourceCode |
building.interiorWalls |
building.interiorWallsCode |
building.livingAreaSquareFeet |
building.otherRooms |
building.otherRoomsCode |
building.partialBathroomCount |
building.patio |
building.patioCode |
building.pool |
building.poolCode |
building.porch |
building.porchCode |
building.residentialUnitCount |
building.roofCover |
building.roofCoverCode |
building.roofType |
building.roofTypeCode |
building.roomCount |
building.sewer |
building.sewerCode |
building.storyCount |
building.style |
building.styleCode |
building.totalBuildingAreaCode |
building.totalBuildingAreaCodeDescription |
building.unitCount |
building.waterService |
building.waterServiceCode |
general.carrierRoute |
general.censusTract |
general.congressionalDistrict |
general.daylightSavingsTime |
general.mailingAddressVacant |
general.parcelCount |
general.primaryParcel |
general.standardizedLandUseCode |
general.timeZone |
general.utcOffset |
general.vacant |
ids.addressHash |
ids.fipsCode |
ids.oldApn |
ids.oldApnCode |
ids.oldApnCodeDescription |
ids.taxId |
intel.lengthOfResidenceMonths |
intel.lengthOfResidenceYears |
legal.block |
legal.cityTownshipMunicipality |
legal.legalDescription |
legal.lotCode |
legal.lotNumber |
legal.phaseNumber |
legal.section |
legal.subdivisionName |
legal.tractNumber |
lot.lotDepthFeet |
lot.lotFrontageFeet |
lot.lotSizeAcres |
lot.siteInfluence |
lot.siteInfluenceCode |
lot.topography |
lot.topographyCode |
lot.zoningCode |
meta.propertyDateModified |
owner.mailingAddress.formattedStreet |
owner.mailingAddress.hash |
owner.mailingAddress.houseNumber |
owner.mailingAddress.oldHashes |
owner.mailingAddress.streetNoUnit |
owner.mailingAddress.unitNumber |
owner.mailingAddress.unitType |
owner.ownershipRights |
owner.ownershipRightsCode |
owner.ownershipStartDate |
owner.ownerStatusType |
owner.ownerStatusTypeCode |
sale.flipLength |
sale.flipLengthCategory |
sale.flipProfit |
sale.lastSale.bookNumber |
sale.lastSale.documentNumber |
sale.lastSale.documentType |
sale.lastSale.documentTypeCode |
sale.lastSale.pageNumber |
sale.lastSale.priceCode |
sale.lastSale.priceCodeDescription |
sale.lastSale.pricePerSquareFoot |
sale.lastSale.saleDate |
sale.lastSale.salePriceIsEstimated |
sale.lastTransfer.bookNumber |
sale.lastTransfer.documentNumber |
sale.lastTransfer.documentType |
sale.lastTransfer.pageNumber |
sale.lastTransfer.price |
sale.lastTransfer.priceCode |
sale.lastTransfer.priceCodeDescription |
sale.lastTransfer.pricePerSquareFoot |
sale.lastTransfer.recordingDate |
sale.lastTransfer.saleDate |
sale.priorSale.bookNumber |
sale.priorSale.documentNumber |
sale.priorSale.documentType |
sale.priorSale.documentTypeCode |
sale.priorSale.pageNumber |
sale.priorSale.price |
sale.priorSale.priceCode |
sale.priorSale.priceCodeDescription |
sale.priorSale.pricePerSquareFoot |
sale.priorSale.recordingDate |
sale.priorSale.saleBuyers |
sale.priorSale.saleDate |
sale.priorSale.salePriceIsEstimated |
sale.priorSale.saleSellers |
sale.priorTransfer.bookNumber |
sale.priorTransfer.documentNumber |
sale.priorTransfer.documentType |
sale.priorTransfer.pageNumber |
sale.priorTransfer.price |
sale.priorTransfer.priceCode |
sale.priorTransfer.priceCodeDescription |
sale.priorTransfer.salePriceIsEstimated |
tax.schoolTaxDistrictCodes |
tax.taxAmount |
tax.taxDelinquentYear |
tax.taxExemptions |
tax.taxRateCodeArea |
tax.taxYear |
ids.apn |
address.countyFipsCode |
address.hash |
address.houseNumber |
address.latitude |
address.longitude |
address.addressValidity |
owner.mailingAddress.addressValidity |
building.commercialUnitCount |
building.foundation |
building.foundationCode |
building.buildingType |
general.schoolDistrict |
mls.agentOffices |
mls.agentOffices.0.agentCodeId |
mls.agentOffices.0.fax |
mls.agentOffices.0.key |
mls.agentOffices.0.mainOfficeId |
mls.agentOffices.0.name |
mls.agentOffices.0.officeAddress |
mls.agentOffices.0.officeEmail |
mls.agentOffices.0.officePhoneNumber |
mls.agentOffices.1.agentCodeId |
mls.agentOffices.1.fax |
mls.agentOffices.1.key |
mls.agentOffices.1.mainOfficeId |
mls.agentOffices.1.name |
mls.agentOffices.1.officeAddress |
mls.agentOffices.1.officeEmail |
mls.agentOffices.1.officePhoneNumber |
mls.agents.0.email |
mls.agents.0.key |
mls.agents.0.licenseNumber |
mls.agents.0.name |
mls.agents.0.officePhoneNumber |
mls.agents.0.primaryPhoneNumber |
mls.agents.0.roles.0 |
mls.agents.1.email |
mls.agents.1.key |
mls.agents.1.licenseNumber |
mls.agents.1.name |
mls.agents.1.officePhoneNumber |
mls.agents.1.primaryPhoneNumber |
mls.agents.1.roles.0 |
mls.architecturalStyle |
mls.bathroomCount |
mls.bedroomCount |
mls.brokerage |
mls.brokerage.name |
mls.brokerage.phoneNumber |
mls.daysOnMarket |
mls.description |
mls.directions |
mls.exteriorConstruction |
mls.failedListingDate |
mls.floorCount |
mls.fullBathroomCount |
mls.halfBathroomCount |
mls.hasFireplace |
mls.heatingFuelTypes |
mls.latitude |
mls.listingCategory |
mls.listingUrl |
mls.livingArea |
mls.longitude |
mls.lotSizeSquareFeet |
mls.maxListPrice |
mls.maxListPriceDate |
mls.minListPrice |
mls.minListPriceDate |
mls.mlsId |
mls.mlsName |
mls.mlsNumber |
mls.neighborhood |
mls.newConstruction |
mls.oneQuarterBathroomCount |
mls.originalListingDate |
mls.parkingSpaceCount |
mls.partialBathroomCount |
mls.patio |
mls.price |
mls.propertySubtype |
mls.propertyType |
mls.salePriceIsEstimated |
mls.schools.0 |
mls.schools.0.category |
mls.schools.0.name |
mls.schools.1.category |
mls.schools.1.name |
mls.schools.2.category |
mls.schools.2.name |
mls.soldDate |
mls.soldPrice |
mls.status |
mls.statusSubtype |
mls.subDivision |
mls.taxes |
mls.taxes.0.amount |
mls.taxes.0.year |
mls.taxes.1.amount |
mls.taxes.1.year |
mls.taxes.2.amount |
mls.taxes.2.year |
mls.taxes.3.amount |
mls.taxes.3.year |
mls.taxes.4.amount |
mls.taxes.4.year |
mls.taxes.5.amount |
mls.taxes.5.year |
mls.taxes.6.amount |
mls.taxes.6.year |
mls.taxes.7.amount |
mls.taxes.7.year |
mls.taxes.8.amount |
mls.taxes.8.year |
mls.taxes.9.amount |
mls.taxes.9.year |
mls.taxes.10.year |
mls.taxes.11.year |
mls.taxes.12.year |
mls.taxes.13.year |
mls.taxes.14.year |
mls.taxes.15.year |
mls.taxes.16.year |
mls.taxes.17.year |
mls.taxes.18.year |
mls.taxes.19.year |
mls.taxes.20.year |
mls.taxes.21.year |
mls.taxes.22.year |
mls.taxes.23.year |
mls.totalBuildingAreaSquareFeet |
mls.yearBuilt |
ids.parcelHash |
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| 8 | Xxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxx | xxxxxxxxx |
| 9 | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | xxxxx | xxxxxxxx | Xxxxxxx | Xxxxx | xxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxx | xxxxxxxxx | xxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxx | Xxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxxx | xxxxxxx | Xxxxxxx | xxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | Xxxxxx | xxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | Xxxxxx | xxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxx | xxxxx | xxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | xxxxx | Xxxxx | xxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxx |
| 10 | Xxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxx | xxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxxx | xxxxx | xxxxx | xxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxx | xxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxx | Xxxxx | Xxxxx | xxxxxxxxx | Xxxxxxxx | Xxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxx | xxxxx |
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Volume
258M
Phone Numbers
Data Quality
100%
Fill Rate
Avail. Formats
.json, .xml, and .csv
File
Coverage
1
Country
History
3
years
Data Dictionary
[Sample] cfb55790-806b-446f-b5d1-05656c996c59.csv
| Attribute | Type | Example | Mapping |
|---|---|---|---|
|
owner.fullName
|
String | Roger C White; Lane O White | |
|
owner.names.0.first
|
String | Roger C | |
|
owner.names.0.full
|
String | Roger C White | |
|
owner.names.0.last
|
String | White | |
|
owner.names.0.middle
|
|||
|
owner.names.1.first
|
String | Lane O | |
|
owner.names.1.full
|
String | Lane O White | |
|
owner.names.1.last
|
String | White | |
|
owner.names.1.middle
|
|||
|
address.street
|
String | 5053 Villa Crest Dr | |
|
address.city
|
String | Nashville | |
|
address.state
|
String | TN | |
|
address.zip
|
Integer | 37220 | |
|
address.zipPlus4
|
Integer | 1424 | |
|
address.county
|
String | Davidson | |
|
owner.mailingAddress.street
|
String | 5053 Villa Crest Dr | |
|
owner.mailingAddress.city
|
String | Nashville | |
|
owner.mailingAddress.state
|
String | TN | |
|
owner.mailingAddress.zip
|
Integer | 37220 | |
|
owner.mailingAddress.zipPlus4
|
Integer | 1424 | |
|
owner.mailingAddress.county
|
String | Davidson | |
|
_id
|
String | 9ba645846b13bf2a1c809cf980e7598e | |
|
general.propertyTypeCategory
|
String | Residential | |
|
general.propertyTypeDetail
|
String | Single Family | |
|
building.bedroomCount
|
Integer | 4 | |
|
building.bathroomCount
|
Integer | 4 | |
|
building.totalBuildingAreaSquareFeet
|
Integer | 2770 | |
|
lot.lotSizeSquareFeet
|
Integer | 67518 | |
|
building.yearBuilt
|
Integer | 1965 | |
|
assessment.totalAssessedValue
|
Integer | 208925 | |
|
owner.ownerOccupied
|
Boolean | t | |
|
owner.lengthOfResidenceMonths
|
Integer | 178 | |
|
owner.lengthOfResidenceYears
|
Integer | 14 | |
|
sale.lastSale.price
|
Integer | 480000 | |
|
sale.lastSale.recordingDate
|
DateTime | 2009-09-24T00:00:00+00:00 | |
|
intel.lastSoldPrice
|
Integer | 480000 | |
|
intel.lastSoldDate
|
DateTime | 2009-09-24T00:00:00+00:00 | |
|
address.cityAliases
|
String | nashville | |
|
address.formattedStreet
|
String | Villa Crest Dr | |
|
address.geoStatus
|
String | Rooftop | |
|
address.geoStatusCode
|
String | A | |
|
address.localities
|
String | ||
|
address.normalized
|
Boolean | t | |
|
address.oldHashes
|
String | 17b517e642e0dd0a8459d981b7ad19d6 | |
|
address.streetNoUnit
|
String | 5053 Villa Crest Dr | |
|
address.unitNumber
|
String | ||
|
address.unitType
|
String | ||
|
assessment.assessedImprovementValue
|
Integer | 70525 | |
|
assessment.assessedLandValue
|
Integer | 138400 | |
|
assessment.assessmentYear
|
Integer | 2022 | |
|
assessment.improvementMarketValue
|
Integer | 282100 | |
|
assessment.landMarketValue
|
Integer | 553600 | |
|
assessment.marketValueYear
|
Integer | 2022 | |
|
assessment.totalMarketValue
|
Integer | 835700 | |
|
building.airConditioningSource
|
String | Central | |
|
building.airConditioningSourceCode
|
String | A | |
|
building.atticFinishedSquareFeet
|
String | ||
|
building.atticSquareFeet
|
String | ||
|
building.atticUnfinishedSquareFeet
|
String | ||
|
building.basementFinishedSquareFeet
|
Integer | 296 | |
|
building.basementSquareFeet
|
Integer | 1098 | |
|
building.basementType
|
String | Basement (not specified) | |
|
building.basementTypeCode
|
String | A | |
|
building.basementUnfinishedSquareFeet
|
String | ||
|
building.bathFixtureCount
|
Integer | 13 | |
|
building.buildingClass
|
String | ||
|
building.buildingClassCode
|
String | ||
|
building.buildingCondition
|
String | Average | |
|
building.buildingConditionCode
|
Boolean | f | |
|
building.buildingCount
|
String | ||
|
building.buildingQuality
|
String | C | |
|
building.buildingQualityCode
|
String | G | |
|
building.calculatedBathroomCount
|
Integer | 4 | |
|
building.constructionType
|
String | ||
|
building.constructionTypeCode
|
String | ||
|
building.driveway
|
String | ||
|
building.drivewayCode
|
String | ||
|
building.effectiveYearBuilt
|
Integer | 1965 | |
|
building.exteriorWalls
|
String | Brick | |
|
building.exteriorWallsCode
|
String | AO | |
|
building.features
|
String | Air Conditioning,Central Air Conditioning,Fireplace,Garag... | |
|
building.fireplaceCount
|
Integer | 2 | |
|
building.floorCover
|
String | ||
|
building.floorCoverCode
|
String | ||
|
building.fullBathroomCount
|
Integer | 4 | |
|
building.garage
|
String | Garage | |
|
building.garageCode
|
String | I | |
|
building.garageFinishedSquareFeet
|
String | ||
|
building.garageParkingSpaceCount
|
String | ||
|
building.garageSquareFeet
|
String | ||
|
building.garageUnfinishedSquareFeet
|
String | ||
|
building.groundFloorAreaSquareFeet
|
String | ||
|
building.heatingFuelType
|
String | ||
|
building.heatingFuelTypeCode
|
String | ||
|
building.heatSource
|
String | Central | |
|
building.heatSourceCode
|
String | B | |
|
building.interiorWalls
|
String | ||
|
building.interiorWallsCode
|
String | ||
|
building.livingAreaSquareFeet
|
Integer | 2770 | |
|
building.otherRooms
|
String | ||
|
building.otherRoomsCode
|
String | ||
|
building.partialBathroomCount
|
String | ||
|
building.patio
|
String | ||
|
building.patioCode
|
String | ||
|
building.pool
|
String | ||
|
building.poolCode
|
String | ||
|
building.porch
|
String | ||
|
building.porchCode
|
String | ||
|
building.residentialUnitCount
|
String | ||
|
building.roofCover
|
String | Other | |
|
building.roofCoverCode
|
String | Q | |
|
building.roofType
|
String | ||
|
building.roofTypeCode
|
String | ||
|
building.roomCount
|
Integer | 12 | |
|
building.sewer
|
String | ||
|
building.sewerCode
|
String | ||
|
building.storyCount
|
Integer | 1 | |
|
building.style
|
String | ||
|
building.styleCode
|
String | ||
|
building.totalBuildingAreaCode
|
String | L | |
|
building.totalBuildingAreaCodeDescription
|
String | Finished Area | |
|
building.unitCount
|
Integer | 1 | |
|
building.waterService
|
String | ||
|
building.waterServiceCode
|
String | ||
|
general.carrierRoute
|
String | C008 | |
|
general.censusTract
|
Float | 470370187.002 | |
|
general.congressionalDistrict
|
Integer | 5 | |
|
general.daylightSavingsTime
|
Boolean | t | |
|
general.mailingAddressVacant
|
Boolean | f | |
|
general.parcelCount
|
Integer | 1 | |
|
general.primaryParcel
|
Boolean | t | |
|
general.standardizedLandUseCode
|
String | R2 | |
|
general.timeZone
|
String | Central | |
|
general.utcOffset
|
Integer | -6 | |
|
general.vacant
|
Boolean | f | |
|
ids.addressHash
|
String | 17b517e642e0dd0a8459d981b7ad19d6 | |
|
ids.fipsCode
|
Integer | 47037 | |
|
ids.oldApn
|
Integer | 14507001300 | |
|
ids.oldApnCode
|
String | A | |
|
ids.oldApnCodeDescription
|
String | Alternate APN | |
|
ids.taxId
|
String | ||
|
intel.lengthOfResidenceMonths
|
Integer | 178 | |
|
intel.lengthOfResidenceYears
|
Integer | 14 | |
|
legal.block
|
|||
|
legal.cityTownshipMunicipality
|
String | 95-oh | |
|
legal.legalDescription
|
String | LOT 14 VILLA ESTATES | |
|
legal.lotCode
|
String | S | |
|
legal.lotNumber
|
Integer | 14 | |
|
legal.phaseNumber
|
|||
|
legal.section
|
|||
|
legal.subdivisionName
|
String | VILLA ESTATES | |
|
legal.tractNumber
|
String | VILLA ESTATES | |
|
lot.lotDepthFeet
|
Integer | 4400 | |
|
lot.lotFrontageFeet
|
Integer | 1310 | |
|
lot.lotSizeAcres
|
Float | 1.55 | |
|
lot.siteInfluence
|
String | ||
|
lot.siteInfluenceCode
|
String | ||
|
lot.topography
|
String | ||
|
lot.topographyCode
|
String | ||
|
lot.zoningCode
|
String | 8ZZ | |
|
meta.propertyDateModified
|
DateTime | 2024-08-14T00:00:00+00:00 | |
|
owner.mailingAddress.formattedStreet
|
String | Villa Crest Dr | |
|
owner.mailingAddress.hash
|
String | 17b517e642e0dd0a8459d981b7ad19d6 | |
|
owner.mailingAddress.houseNumber
|
Integer | 5053 | |
|
owner.mailingAddress.oldHashes
|
String | ||
|
owner.mailingAddress.streetNoUnit
|
String | 5053 Villa Crest Dr | |
|
owner.mailingAddress.unitNumber
|
String | ||
|
owner.mailingAddress.unitType
|
String | ||
|
owner.ownershipRights
|
String | ||
|
owner.ownershipRightsCode
|
String | ||
|
owner.ownershipStartDate
|
DateTime | 2009-09-24T00:00:00+00:00 | |
|
owner.ownerStatusType
|
String | Individual | |
|
owner.ownerStatusTypeCode
|
String | B | |
|
sale.flipLength
|
Integer | 0 | |
|
sale.flipLengthCategory
|
Integer | 0 | |
|
sale.flipProfit
|
Integer | 0 | |
|
sale.lastSale.bookNumber
|
String | ||
|
sale.lastSale.documentNumber
|
Integer | 200909240088933 | |
|
sale.lastSale.documentType
|
String | Warranty Deed | |
|
sale.lastSale.documentTypeCode
|
String | BZ | |
|
sale.lastSale.pageNumber
|
String | ||
|
sale.lastSale.priceCode
|
String | K | |
|
sale.lastSale.priceCodeDescription
|
String | Full amount stated on Document. | |
|
sale.lastSale.pricePerSquareFoot
|
Integer | 173 | |
|
sale.lastSale.saleDate
|
DateTime | 2009-09-17T00:00:00+00:00 | |
|
sale.lastSale.salePriceIsEstimated
|
Boolean | f | |
|
sale.lastTransfer.bookNumber
|
String | ||
|
sale.lastTransfer.documentNumber
|
Integer | 200909240088933 | |
|
sale.lastTransfer.documentType
|
String | Warranty Deed | |
|
sale.lastTransfer.pageNumber
|
String | ||
|
sale.lastTransfer.price
|
Integer | 480000 | |
|
sale.lastTransfer.priceCode
|
String | K | |
|
sale.lastTransfer.priceCodeDescription
|
String | Full amount stated on Document. | |
|
sale.lastTransfer.pricePerSquareFoot
|
Integer | 173 | |
|
sale.lastTransfer.recordingDate
|
DateTime | 2009-09-24T00:00:00+00:00 | |
|
sale.lastTransfer.saleDate
|
DateTime | 2009-09-17T00:00:00+00:00 | |
|
sale.priorSale.bookNumber
|
String | ||
|
sale.priorSale.documentNumber
|
String | ||
|
sale.priorSale.documentType
|
String | ||
|
sale.priorSale.documentTypeCode
|
String | ||
|
sale.priorSale.pageNumber
|
String | ||
|
sale.priorSale.price
|
String | ||
|
sale.priorSale.priceCode
|
String | ||
|
sale.priorSale.priceCodeDescription
|
String | ||
|
sale.priorSale.pricePerSquareFoot
|
String | ||
|
sale.priorSale.recordingDate
|
String | ||
|
sale.priorSale.saleBuyers
|
String | ||
|
sale.priorSale.saleDate
|
String | ||
|
sale.priorSale.salePriceIsEstimated
|
Boolean | f | |
|
sale.priorSale.saleSellers
|
String | Shriver Marilyn G | |
|
sale.priorTransfer.bookNumber
|
String | ||
|
sale.priorTransfer.documentNumber
|
String | ||
|
sale.priorTransfer.documentType
|
String | ||
|
sale.priorTransfer.pageNumber
|
String | ||
|
sale.priorTransfer.price
|
String | ||
|
sale.priorTransfer.priceCode
|
String | ||
|
sale.priorTransfer.priceCodeDescription
|
String | ||
|
sale.priorTransfer.salePriceIsEstimated
|
Boolean | f | |
|
tax.schoolTaxDistrictCodes
|
String | ||
|
tax.taxAmount
|
Float | 7914.08 | |
|
tax.taxDelinquentYear
|
String | ||
|
tax.taxExemptions
|
String | ||
|
tax.taxRateCodeArea
|
String | OH | |
|
tax.taxYear
|
Integer | 2022 | |
|
ids.apn
|
String | 145-07-0-013-00 | |
|
address.countyFipsCode
|
Integer | 47037 | |
|
address.hash
|
String | 17b517e642e0dd0a8459d981b7ad19d6 | |
|
address.houseNumber
|
Integer | 5053 | |
|
address.latitude
|
Float | 36.071369 | |
|
address.longitude
|
Float | -86.803487 | |
|
address.addressValidity
|
String | Valid | |
|
owner.mailingAddress.addressValidity
|
String | Valid | |
|
building.commercialUnitCount
|
String | ||
|
building.foundation
|
String | ||
|
building.foundationCode
|
String | ||
|
building.buildingType
|
String | ||
|
general.schoolDistrict
|
String | Metropolitan Nashville Public School District | |
|
mls.agentOffices
|
|||
|
mls.agentOffices.0.agentCodeId
|
Integer | 2614 | |
|
mls.agentOffices.0.fax
|
Integer | 6153832151 | |
|
mls.agentOffices.0.key
|
Integer | 1326763619619 | |
|
mls.agentOffices.0.mainOfficeId
|
Integer | 764 | |
|
mls.agentOffices.0.name
|
String | PARKS | |
|
mls.agentOffices.0.officeAddress
|
String | Suite 601, 4025 Hillsboro Pk., Nashville, TN, 37215 | |
|
mls.agentOffices.0.officeEmail
|
String | hagan.realtor@gmail.com | |
|
mls.agentOffices.0.officePhoneNumber
|
Integer | 6153836600 | |
|
mls.agentOffices.1.agentCodeId
|
|||
|
mls.agentOffices.1.fax
|
|||
|
mls.agentOffices.1.key
|
|||
|
mls.agentOffices.1.mainOfficeId
|
|||
|
mls.agentOffices.1.name
|
|||
|
mls.agentOffices.1.officeAddress
|
|||
|
mls.agentOffices.1.officeEmail
|
|||
|
mls.agentOffices.1.officePhoneNumber
|
|||
|
mls.agents.0.email
|
String | allensells@aol.com | |
|
mls.agents.0.key
|
Integer | 1326258941337 | |
|
mls.agents.0.licenseNumber
|
Integer | 245632 | |
|
mls.agents.0.name
|
String | Allen DeCuyper | |
|
mls.agents.0.officePhoneNumber
|
Integer | 6153836600 | |
|
mls.agents.0.primaryPhoneNumber
|
Integer | 6153005971 | |
|
mls.agents.0.roles.0
|
String | Listing Agent | |
|
mls.agents.1.email
|
|||
|
mls.agents.1.key
|
|||
|
mls.agents.1.licenseNumber
|
|||
|
mls.agents.1.name
|
|||
|
mls.agents.1.officePhoneNumber
|
|||
|
mls.agents.1.primaryPhoneNumber
|
|||
|
mls.agents.1.roles.0
|
|||
|
mls.architecturalStyle
|
String | Traditional | |
|
mls.bathroomCount
|
Integer | 4 | |
|
mls.bedroomCount
|
Integer | 4 | |
|
mls.brokerage
|
String | ||
|
mls.brokerage.name
|
|||
|
mls.brokerage.phoneNumber
|
|||
|
mls.daysOnMarket
|
Integer | 64 | |
|
mls.description
|
String | Expansive Views of Nashville from one of the highest ridg... | |
|
mls.directions
|
String | S on Granny White L onto Overton Lea R on Lakeview R up ... | |
|
mls.exteriorConstruction
|
String | Brick | |
|
mls.failedListingDate
|
String | ||
|
mls.floorCount
|
Integer | 3 | |
|
mls.fullBathroomCount
|
Integer | 3 | |
|
mls.halfBathroomCount
|
Integer | 1 | |
|
mls.hasFireplace
|
Boolean | t | |
|
mls.heatingFuelTypes
|
String | ||
|
mls.latitude
|
String | ||
|
mls.listingCategory
|
String | ||
|
mls.listingUrl
|
String | ||
|
mls.livingArea
|
Integer | 2987 | |
|
mls.longitude
|
String | ||
|
mls.lotSizeSquareFeet
|
String | ||
|
mls.maxListPrice
|
String | ||
|
mls.maxListPriceDate
|
String | ||
|
mls.minListPrice
|
String | ||
|
mls.minListPriceDate
|
String | ||
|
mls.mlsId
|
String | Realtracs | |
|
mls.mlsName
|
String | Realtracs | |
|
mls.mlsNumber
|
Integer | 2671317 | |
|
mls.neighborhood
|
String | ||
|
mls.newConstruction
|
String | ||
|
mls.oneQuarterBathroomCount
|
String | ||
|
mls.originalListingDate
|
DateTime | 2024-06-12T00:00:00+00:00 | |
|
mls.parkingSpaceCount
|
String | ||
|
mls.partialBathroomCount
|
String | ||
|
mls.patio
|
String | Covered, Patio, Deck | |
|
mls.price
|
Integer | 1899999 | |
|
mls.propertySubtype
|
String | Single Family Residence | |
|
mls.propertyType
|
String | Residential | |
|
mls.salePriceIsEstimated
|
Boolean | f | |
|
mls.schools.0
|
|||
|
mls.schools.0.category
|
String | Elementary | |
|
mls.schools.0.name
|
String | Percy Priest Elementary | |
|
mls.schools.1.category
|
String | Middle | |
|
mls.schools.1.name
|
String | John Trotwood Moore Middle | |
|
mls.schools.2.category
|
String | High | |
|
mls.schools.2.name
|
String | Hillsboro Comp High School | |
|
mls.soldDate
|
String | ||
|
mls.soldPrice
|
String | ||
|
mls.status
|
String | Active | |
|
mls.statusSubtype
|
String | Active | |
|
mls.subDivision
|
String | Villa Estates | |
|
mls.taxes
|
|||
|
mls.taxes.0.amount
|
Integer | 6105 | |
|
mls.taxes.0.year
|
|||
|
mls.taxes.1.amount
|
|||
|
mls.taxes.1.year
|
|||
|
mls.taxes.2.amount
|
|||
|
mls.taxes.2.year
|
|||
|
mls.taxes.3.amount
|
|||
|
mls.taxes.3.year
|
|||
|
mls.taxes.4.amount
|
|||
|
mls.taxes.4.year
|
|||
|
mls.taxes.5.amount
|
|||
|
mls.taxes.5.year
|
|||
|
mls.taxes.6.amount
|
|||
|
mls.taxes.6.year
|
|||
|
mls.taxes.7.amount
|
|||
|
mls.taxes.7.year
|
|||
|
mls.taxes.8.amount
|
|||
|
mls.taxes.8.year
|
|||
|
mls.taxes.9.amount
|
|||
|
mls.taxes.9.year
|
|||
|
mls.taxes.10.year
|
|||
|
mls.taxes.11.year
|
|||
|
mls.taxes.12.year
|
|||
|
mls.taxes.13.year
|
|||
|
mls.taxes.14.year
|
|||
|
mls.taxes.15.year
|
|||
|
mls.taxes.16.year
|
|||
|
mls.taxes.17.year
|
|||
|
mls.taxes.18.year
|
|||
|
mls.taxes.19.year
|
|||
|
mls.taxes.20.year
|
|||
|
mls.taxes.21.year
|
|||
|
mls.taxes.22.year
|
|||
|
mls.taxes.23.year
|
|||
|
mls.totalBuildingAreaSquareFeet
|
Integer | 2987 | |
|
mls.yearBuilt
|
String | ||
|
ids.parcelHash
|
String | 5cbba37a8944693b8b373e5e157b2303 |
Description
Explore detailed property listings with 140+ data points across the U.S., featuring daily updates in most markets. Get comprehensive insights into every listing, including price, property characteristics, and more. Your go-to resource for current and thorough real estate information.
BatchService's property listings data provides comprehensive insights with over 140 data points and nationwide listing data inclusive of For Sale By Owner (FSBO) listings across the United States. Updated daily in most markets, the data includes:
- Listing Details: property listings descriptions, property characteristics, pricing, days on market, and more.
- Agent Information: agent names, license numbers, contact details, listing counts, and listing histories.
- Broker Information: Broker names, locations, URLs, emails, phone numbers, and licensing information.
- Additional Details: Information about schools, neighborhoods, subdivisions, and tax data.
Common Use Cases:
- Recruiting Teams: Enhance talent acquisition by analyzing agents' listing counts, close rates, property types, and client profiles.
- Proptech Software & Marketplaces: Integrate current and historical listings to create detailed property profiles, advanced search features, and robust analytics.
- Home Service Providers: Target marketing and outreach efforts to homeowners, whether they are preparing to move or have recently relocated.
- Real Estate Agents & Investors: Identify undervalued properties, connect with buyers/sellers based on activity, analyze market trends, and develop effective marketing strategies.
Our property listings data can be delivered in a variety of formats to suit your needs. Choose from API integration for seamless, real-time data access, bulk data delivery for extensive datasets, S3 bucket storage for scalable cloud solutions, and more. This flexibility ensures that you can incorporate our comprehensive property information into your systems efficiently and effectively, whether you're building a new platform, enhancing existing tools, or conducting in-depth analyses.
Country Coverage
North America
(1)
United States of America
History
3 years of historical data
Volume
| 155 million | Properties Profiled |
| 87 million | Homeowners Profiled |
| 110 million | Residential Properties |
| 4.2 million | Commercial Buildings |
| 100 million | Email Addresses |
| 258 million | Phone Numbers |
Pricing
Free sample available
| License | Starts at |
|---|---|
| One-off purchase |
$500 / purchase |
| Monthly License | Not available |
| Yearly License |
$10,200 / year |
| Usage-based |
$0.01 / API Call |
Suitable Company Sizes
Small Business
Medium-sized Business
Enterprise
Quality
Self-reported by the provider
Fill Rate
Delivery
Methods
S3 Bucket
SFTP
Email
UI Export
REST API
Frequency
daily
weekly
monthly
quarterly
yearly
real-time
on-demand
Format
.json
.xml
.csv
.xls
.sql
.txt
Use Cases
Categories
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Frequently asked questions
What is BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points?
Explore detailed property listings with 140+ data points across the U.S., featuring daily updates in most markets. Get comprehensive insights into every listing, including price, property characteristics, and more. Your go-to resource for current and thorough real estate information.
What is BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points used for?
This product has 5 key use cases. BatchService recommends using the data for Lead Generation, Investing, Real Estate Investment, Property Investment, and Real Estate Intelligence. Global businesses and organizations buy Property Market Data from BatchService to fuel their analytics and enrichment.
Who can use BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Property Market Data. Get in touch with BatchService to see what their data can do for your business and find out which integrations they provide.
How far back does the data in BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points go?
This product has 3 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points cover?
This product includes data covering 1 country like USA. BatchService is headquartered in United States of America.
How much does BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points cost?
Pricing for BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points starts at USD0.01 per API Call. Connect with BatchService to get a quote and arrange custom pricing models based on your data requirements.
How can I get BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points?
Businesses can buy Property Market Data from BatchService and get the data via S3 Bucket, SFTP, Email, UI Export, and REST API. Depending on your data requirements and subscription budget, BatchService can deliver this product in .json, .xml, .csv, .xls, .sql, and .txt format.
What is the data quality of BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points?
BatchService has reported that this product has the following quality and accuracy assurances: 100% Fill Rate. You can compare and assess the data quality of BatchService using Datarade’s data marketplace.
What are similar products to BatchService - U.S. Property Listings Data - Real Estate Market Data for Agents, Investors, Proptech, Home Services and More, 140+ Data Points?
This product has 3 related products. These alternatives include Realtor Property Data, Realtor Data, Realtor API, Property Owner Data, Scrape All Publicly Available Property Listings & Data - Easy to Integrate., CrawlBee Realtor.com Dataset Property Listings MLS Data Real Estate Data Residential Data Realtime Real Estate Market Data, and Xverum Real Estate Data 150M Locations Asian Real Estate Market Data Real-time Property Market Data 100% Compliant Asian Home Ownership Data. You can compare the best Property Market Data providers and products via Datarade’s data marketplace and get the right data for your use case.
BatchService
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