[
{
"id": "loopnet-commercial-real-estate-api_1000",
"service": "loopnet-commercial-real-estate-api",
"title": "LOOPNET COMMERCIAL REAL ESTATE Record #1",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for loopnet-commercial-real-estate-api",
"inputReceived": {
"market": "Dallas, TX",
"maxItems": 20
},
"data": {
"index": 1,
"relevanceScore": 0.95,
"summary": "High-fidelity structured response for LOOPNET COMMERCIAL REAL ESTATE query parameter extraction.",
"attributes": {
"region": "Global",
"category": "LOOPNET",
"timestamp": "2026-10-12T10:32:28.863Z"
}
},
"timestamp": "2026-10-12T10:32:28.863Z"
},
{
"id": "loopnet-commercial-real-estate-api_1001",
"service": "loopnet-commercial-real-estate-api",
"title": "LOOPNET COMMERCIAL REAL ESTATE Record #2",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for loopnet-commercial-real-estate-api",
"inputReceived": {
"market": "Dallas, TX",
"maxItems": 20
},
"data": {
"index": 2,
"relevanceScore": 0.8999999999999999,
"summary": "High-fidelity structured response for LOOPNET COMMERCIAL REAL ESTATE query parameter extraction.",
"attributes": {
"region": "Global",
"category": "LOOPNET",
"timestamp": "2026-10-12T10:32:28.863Z"
}
},
"timestamp": "2026-10-12T10:32:28.863Z"
},
{
"id": "loopnet-commercial-real-estate-api_1002",
"service": "loopnet-commercial-real-estate-api",
"title": "LOOPNET COMMERCIAL REAL ESTATE Record #3",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for loopnet-commercial-real-estate-api",
"inputReceived": {
"market": "Dallas, TX",
"maxItems": 20
},
"data": {
"index": 3,
"relevanceScore": 0.85,
"summary": "High-fidelity structured response for LOOPNET COMMERCIAL REAL ESTATE query parameter extraction.",
"attributes": {
"region": "Global",
"category": "LOOPNET",
"timestamp": "2026-10-12T10:32:28.863Z"
}
},
"timestamp": "2026-10-12T10:32:28.863Z"
},
{
"id": "loopnet-commercial-real-estate-api_1003",
"service": "loopnet-commercial-real-estate-api",
"title": "LOOPNET COMMERCIAL REAL ESTATE Record #4",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for loopnet-commercial-real-estate-api",
"inputReceived": {
"market": "Dallas, TX",
"maxItems": 20
},
"data": {
"index": 4,
"relevanceScore": 0.7999999999999999,
"summary": "High-fidelity structured response for LOOPNET COMMERCIAL REAL ESTATE query parameter extraction.",
"attributes": {
"region": "Global",
"category": "LOOPNET",
"timestamp": "2026-10-12T10:32:28.863Z"
}
},
"timestamp": "2026-10-12T10:32:28.863Z"
},
{
"id": "loopnet-commercial-real-estate-api_1004",
"service": "loopnet-commercial-real-estate-api",
"title": "LOOPNET COMMERCIAL REAL ESTATE Record #5",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for loopnet-commercial-real-estate-api",
"inputReceived": {
"market": "Dallas, TX",
"maxItems": 20
},
"data": {
"index": 5,
"relevanceScore": 0.75,
"summary": "High-fidelity structured response for LOOPNET COMMERCIAL REAL ESTATE query parameter extraction.",
"attributes": {
"region": "Global",
"category": "LOOPNET",
"timestamp": "2026-10-12T10:32:28.863Z"
}
},
"timestamp": "2026-10-12T10:32:28.863Z"
}
]
curl --location --request POST 'https://zylalabs.com/api/14177/loopnet+commercial+real+estate+and+lease+scraper+api/35221/execute+loopnet+commercial+real+estate+and+lease+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"market":"Dallas, TX","maxItems":20}'
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 LoopNet 商业地产和租赁抓取工具 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 🎉)
API返回商业房地产出租和出售的详细清单,包括办公楼、工业仓库和零售中心。关键数据包括租赁价格($/SF/YR)、可用面积、建筑规格和经纪人信息
响应中的关键字段包括"id"、"title"、"status"、"result"、"inputReceived"和"data"。"data"字段包含"region"、"category"和"timestamp"等属性,这些属性为列表提供上下文
用户可以使用参数自定义他们的请求,比如“市场”来指定位置和“最大项目数”来限制返回结果的数量。这允许根据用户需求进行个性化的数据提取
响应数据结构为JSON数组,每个属性清单作为一个对象表示 每个对象包含用于标识 状态 输入参数和详细属性数据的字段 便于解析和使用
这些数据来源于LoopNet,这是一个领先的商业房地产在线市场。这确保了房源对寻求房地产洞见的用户来说是最新和相关的
典型的用例包括房地产公司进行市场分析 潜在买家进行投资评估 开发商进行项目规划 这些数据帮助用户根据实时市场趋势做出明智的决策
用户可以分析返回的数据以识别租赁价格、可用房产和市场需求的趋势 通过根据位置和房产类型过滤结果,用户可以专注于符合其标准的特定机会
通过LoopNet的定期更新,数据准确性得以保持,确保列表反映当前市场状况。此外,API提供“状态”字段,以指示每个列表的验证状态