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&bathrooms=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。
美国租金估算API根据地址和物业细节提供物业的预计月租金。它还返回租金区间（低估和高估）以及可比较的租赁房源列表
要获取租金估算，您需要提供物业的地址、物业类型（例如，房屋、公寓）、卧室数量、浴室数量和面积
API响应包括估计的月租金，租金范围的下限（`rentRangeLow`），租金范围的上限（`rentRangeHigh`），以及一个可比较租赁物业的`listings`列表
这个API在多个用例中非常有价值，包括在房产列表页面上显示估计租金、对租赁物业进行投资分析，以及通过了解当地租金帮助个人制定迁移预算
美国租赁估算API的核心价值主张在于其能够快速提供美国物业的月租金估算，支持范围和可比较的房源，从而为用户节省时间并提供关键房地产决策所需的数据
