通过我们的美国租金估算API赋能您的房地产项目，这是您获取准确物业预测的关键。利用丰富的数据，这个强大的工具计算租金估算，使投资决策更加精准。无缝集成到您的平台中，转变物业分析。凭借无与伦比的洞察力在市场中保持领先，塑造您的租赁成功
在 Postman 中运行
{
"rent": 1430,
"rentRangeLow": 1160,
"rentRangeHigh": 1690,
"listings": [
{
"id": "602-Lockhart-St,-Pittsburgh,-PA-15212",
"formattedAddress": "602 Lockhart St, Pittsburgh, PA 15212",
"longitude": -79.998772,
"latitude": 40.452801,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1950,
"publishedDate": "2025-01-06T03:02:31.033Z",
"distance": 0.5103,
"daysOld": 2,
"correlation": 0.9867,
"address": "602 Lockhart St",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": 1563.0,
"yearBuilt": null
},
{
"id": "2219-Wilson-Ave,-Pittsburgh,-PA-15214",
"formattedAddress": "2219 Wilson Ave, Pittsburgh, PA 15214",
"longitude": -80.013157,
"latitude": 40.465325,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15214",
"price": 950,
"publishedDate": "2024-12-13T03:59:34.890Z",
"distance": 1.0134,
"daysOld": 26,
"correlation": 0.9428,
"address": "2219 Wilson Ave",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1480.0,
"yearBuilt": null
},
{
"id": "1516-Hetzel-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1516 Hetzel St, Pittsburgh, PA 15212",
"longitude": -79.987935,
"latitude": 40.467465,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1900,
"publishedDate": "2024-07-29T03:47:39.148Z",
"distance": 0.664,
"daysOld": 163,
"correlation": 0.9298,
"address": "1516 Hetzel St",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": null
},
{
"id": "2019-E-Beckert-Ave,-Apt-2,-Pittsburgh,-PA-15212",
"formattedAddress": "2019 E Beckert Ave, Apt 2, Pittsburgh, PA 15212",
"longitude": -79.981529,
"latitude": 40.470699,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1350,
"publishedDate": "2024-04-27T00:00:00.000Z",
"distance": 1.0528,
"daysOld": 256,
"correlation": 0.9281,
"address": "2019 E Beckert Ave, Apt 2",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1390.0,
"yearBuilt": null
},
{
"id": "1807-Sundeman-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1807 Sundeman St, Pittsburgh, PA 15212",
"longitude": -79.981438,
"latitude": 40.467366,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1400,
"publishedDate": "2025-01-07T04:02:35.960Z",
"distance": 0.9045,
"daysOld": 1,
"correlation": 0.9267,
"address": "1807 Sundeman St",
"bedrooms": 2,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": 1930
},
{
"id": "1725-Brighton-Rd,-Pittsburgh,-PA-15212",
"formattedAddress": "1725 Brighton Rd, Pittsburgh, PA 15212",
"longitude": -80.016634,
"latitude": 40.458994,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1250,
"publishedDate": "2024-04-17T00:00:00.000Z",
"distance": 1.1202,
"daysOld": 266,
"correlation": 0.9241,
"address": "1725 Brighton Rd",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1370.0,
"yearBuilt": null
},
{
"id": "2005-Straubs-Ln,-Pittsburgh,-PA-15212",
"formattedAddress": "2005 Straubs Ln, Pittsburgh, PA 15212",
"longitude": -79.980675,
"latitude": 40.468151,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1195,
"publishedDate": "2024-10-02T04:02:54.633Z",
"distance": 0.9691,
"daysOld": 98,
"correlation": 0.9165,
"address": "2005 Straubs Ln",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1300.0,
"yearBuilt": null
},
{
"id": "832-Blossom-Way,-Pittsburgh,-PA-15212",
"formattedAddress": "832 Blossom Way, Pittsburgh, PA 15212",
"longitude": -79.996526,
"latitude": 40.457265,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1495,
"publishedDate": "2025-01-07T04:21:38.364Z",
"distance": 0.1796,
"daysOld": 1,
"correlation": 0.9139,
"address": "832 Blossom Way",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": null
},
{
"id": "1729-Warren-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1729 Warren St, Pittsburgh, PA 15212",
"longitude": -80.002915,
"latitude": 40.462124,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1350,
"publishedDate": "2024-12-13T03:59:34.910Z",
"distance": 0.4307,
"daysOld": 26,
"correlation": 0.9114,
"address": "1729 Warren St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 2117.0,
"yearBuilt": null
},
{
"id": "1213-Veto-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1213 Veto St, Pittsburgh, PA 15212",
"longitude": -80.009569,
"latitude": 40.455895,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1350,
"publishedDate": "2024-07-20T04:08:53.887Z",
"distance": 0.7925,
"daysOld": 172,
"correlation": 0.9041,
"address": "1213 Veto St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1200.0,
"yearBuilt": null
},
{
"id": "1970-W-Beckert-St,-Pittsburgh,-PA-15214",
"formattedAddress": "1970 W Beckert St, Pittsburgh, PA 15214",
"longitude": -79.982445,
"latitude": 40.469818,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15214",
"price": 1250,
"publishedDate": "2024-10-29T04:08:39.965Z",
"distance": 0.9755,
"daysOld": 71,
"correlation": 0.9016,
"address": "1970 W Beckert St",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": null,
"yearBuilt": null
},
{
"id": "920-Yetta-Ave,-Pittsburgh,-PA-15212",
"formattedAddress": "920 Yetta Ave, Pittsburgh, PA 15212",
"longitude": -79.996156,
"latitude": 40.461373,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1495,
"publishedDate": "2024-11-13T03:15:55.625Z",
"distance": 0.1223,
"daysOld": 56,
"correlation": 0.8902,
"address": "920 Yetta Ave",
"bedrooms": 2,
"bathrooms": 2.5,
"propertyType": "single-family",
"squareFootage": 1196.0,
"yearBuilt": 1939
},
{
"id": "1101-Linden-Pl,-Unit-First,-Pittsburgh,-PA-15212",
"formattedAddress": "1101 Linden Pl, Unit First, Pittsburgh, PA 15212",
"longitude": -80.000809,
"latitude": 40.456745,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1400,
"publishedDate": "2024-10-18T04:00:03.389Z",
"distance": 0.3521,
"daysOld": 82,
"correlation": 0.8887,
"address": "1101 Linden Pl, Unit First",
"bedrooms": 2,
"bathrooms": 1,
"propertyType": "single-family",
"squareFootage": 1050.0,
"yearBuilt": null
},
{
"id": "1425-Firth-St,-Pittsburgh,-PA-15212",
"formattedAddress": "1425 Firth St, Pittsburgh, PA 15212",
"longitude": -79.987672,
"latitude": 40.462727,
"city": "Pittsburgh",
"state": "PA",
"zipcode": "15212",
"price": 1700,
"publishedDate": "2024-07-22T03:54:20.253Z",
"distance": 0.4558,
"daysOld": 170,
"correlation": 0.8833,
"address": "1425 Firth St",
"bedrooms": 3,
"bathrooms": 1.5,
"propertyType": "single-family",
"squareFootage": 1700.0}],"_note":"Response truncated for documentation purposes"}
curl --location --request GET 'https://zylalabs.com/api/2827/us+rental+estimation+api/2939/get+estimation?address=5500 Grand Lake Drive, San Antonio, TX, 78244&propertyType=apartment&bedrooms=2&bathrroms=2&squareFootage=1000' --header 'Authorization: Bearer YOUR_API_KEY'
注册后，每个开发者都会被分配一个个人 API 访问密钥，这是一个唯一的字母和数字组合，用于访问我们的 API 端点。要使用 美国租赁估算 API 进行身份验证，只需在 Authorization 标头中包含您的 bearer token。
| 标头 | 描述 |
|---|---|
授权
|
必需
应为 Bearer access_key. 订阅后，请查看上方的"您的 API 访问密钥"。
|
无长期承诺。随时升级、降级或取消。 免费试用包括最多 50 个请求。
(年度计费可节省 2 个月 🎉)
介绍我们的突破性美国租金估算API，这是一种旨在革新房地产领域的复杂工具。由尖端算法和庞大的数据集驱动，此API在估算多样化美国市场的租金价格方面提供无与伦比的准确性。无论您是房地产开发商、投资者还是房地产代理，此API都提供宝贵的洞察力来帮助您做出决策。
凭借无缝的集成能力，我们的API成为您应用程序、网站或软件平台的一个重要组成部分。通过为用户提供准确的租金估算，获得竞争优势，使他们能够对物业做出明智的选择。我们的API不仅提供数字；它还提供市场趋势、邻里动态和物业特征的深度分析，确保全面了解租赁市场。
我们的API与众不同之处在于其适应性。无论您处理的是独栋住宅、公寓、商业空间还是度假租赁，我们的API都能提供量身定制的估算。它考虑了诸多因素，如位置、设施、当地需求和历史数据，从而确保尽可能准确的预测。
通过我们的美国租金估算API，保持在房地产行业的领先地位。拥抱房地产分析的未来，为您的用户提供他们在租赁市场中蓬勃发展的洞察。
传递您想要查找的地址、物业类型和其他可以让您获得租金估算的过滤条件。
房地产投资平台：房地产投资网站和应用可以集成API，为用户提供他们感兴趣的物业的即时租金估算。投资者可以做出数据驱动的决策，最大化回报，最小化风险。
物业挂牌网站：在线物业挂牌平台可以整合API，为房产拥有者自动建议租金价格。准确的估算提高了挂牌的吸引力，帮助房产拥有者设定具有竞争力的租金，并更快吸引合适的租户。
财务规划工具：个人财务和预算应用可以利用API帮助用户在规划预算时估算租房成本。此功能对于搬迁到新地区的个人或家庭尤为有用，帮助他们了解生活成本。
市场研究与分析：市场研究公司和房地产分析师可以使用API收集有关租赁趋势的全面数据。随着时间分析这些数据，提供了市场波动的宝贵洞察，使企业和政策制定者能够做出明智的决策。
物业管理软件：物业管理软件解决方案可以集成API，帮助房东为其物业设定最优租金价格。通过考虑位置、物业类型和市场需求等多种因素，物业管理者可以最大化租金收入，同时确保入住率保持较高。
除了计划可用的API调用数量外，没有其他限制。
美国租赁估算API是一个强大的工具，利用先进的算法和广泛的数据集为美国各地的房产提供准确的租金价格估算。它为开发者提供了一个程序化接口，以将精确的租赁估算集成到他们的应用程序、网站和软件解决方案中
该API通过分析各种因素来计算租金估算，包括物业位置、大小、设施、历史租赁数据和当地市场需求。高级算法处理这些信息，以生成准确和最新的租金价格预测
房产类型 支持的值有：独栋住宅 公寓 排屋 多户住宅 公寓 [可选]
不，该API覆盖了整个美国的物业租金估算。它提供全国范围的覆盖，使用户能够获得不同州、市和社区的准确租金价格预测
API的数据定期更新以确保准确性和相关性 它依赖于实时市场数据和历史趋势 更新频繁以反映房地产市场的动态特性
获取估算端点返回租金估算，包括主要租金数值、低和高租金范围以及一份可比物业列表。每个列表提供详细信息，如地址、价格、物业类型以及卧室和浴室等特征
响应中的关键字段包括“租金”（估计租金）、“租金范围下限”和“租金范围上限”（价格范围）以及“房源”（可比房产的数组）每个房源包含字段如“格式化地址”“价格”“卧室数”和“房产类型”
响应数据以JSON格式结构化，包括一个包含租金估算的顶层对象和一个房源数组。每个房源对象包含具体的物业详细信息，使其易于解析并在应用中使用
用户可以使用“地址”“房产类型”等参数以及“卧室”或“浴室”等附加筛选条件来自定义他们的请求。这允许根据特定房产特征进行量身定制的租金估算
该端点提供租金估算、价格范围以及可比物业的详细列表。它涵盖了各种物业类型，包括单家庭住宅、公寓和公寓，遍及整个美国
通过使用先进的算法来分析实时市场数据和历史趋势，数据准确性得以维持。持续更新和质量检查确保租金估算反映当前市场状况
典型的用例包括房地产投资分析、物业列表优化、搬迁的财务规划和市场调研。用户可以利用这些数据做出关于租赁物业的明智决策
用户可以通过将返回的数据集成到他们的应用程序中来显示租金估算、比较房产或分析市场趋势 结构化格式允许轻松提取和呈现相关信息
