[
{
"id": "greenhouse-lever-jobs-api_1000",
"service": "greenhouse-lever-jobs-api",
"title": "GREENHOUSE LEVER JOBS Record #1",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for greenhouse-lever-jobs-api",
"inputReceived": {
"companies": [
"stripe",
"figma"
],
"atsType": "all",
"departmentFilter": "sample_value"
},
"data": {
"index": 1,
"relevanceScore": 0.95,
"summary": "High-fidelity structured response for GREENHOUSE LEVER JOBS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "GREENHOUSE",
"timestamp": "2026-10-12T07:11:01.516Z"
}
},
"timestamp": "2026-10-12T07:11:01.516Z"
},
{
"id": "greenhouse-lever-jobs-api_1001",
"service": "greenhouse-lever-jobs-api",
"title": "GREENHOUSE LEVER JOBS Record #2",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for greenhouse-lever-jobs-api",
"inputReceived": {
"companies": [
"stripe",
"figma"
],
"atsType": "all",
"departmentFilter": "sample_value"
},
"data": {
"index": 2,
"relevanceScore": 0.8999999999999999,
"summary": "High-fidelity structured response for GREENHOUSE LEVER JOBS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "GREENHOUSE",
"timestamp": "2026-10-12T07:11:01.516Z"
}
},
"timestamp": "2026-10-12T07:11:01.516Z"
},
{
"id": "greenhouse-lever-jobs-api_1002",
"service": "greenhouse-lever-jobs-api",
"title": "GREENHOUSE LEVER JOBS Record #3",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for greenhouse-lever-jobs-api",
"inputReceived": {
"companies": [
"stripe",
"figma"
],
"atsType": "all",
"departmentFilter": "sample_value"
},
"data": {
"index": 3,
"relevanceScore": 0.85,
"summary": "High-fidelity structured response for GREENHOUSE LEVER JOBS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "GREENHOUSE",
"timestamp": "2026-10-12T07:11:01.516Z"
}
},
"timestamp": "2026-10-12T07:11:01.516Z"
},
{
"id": "greenhouse-lever-jobs-api_1003",
"service": "greenhouse-lever-jobs-api",
"title": "GREENHOUSE LEVER JOBS Record #4",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for greenhouse-lever-jobs-api",
"inputReceived": {
"companies": [
"stripe",
"figma"
],
"atsType": "all",
"departmentFilter": "sample_value"
},
"data": {
"index": 4,
"relevanceScore": 0.7999999999999999,
"summary": "High-fidelity structured response for GREENHOUSE LEVER JOBS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "GREENHOUSE",
"timestamp": "2026-10-12T07:11:01.516Z"
}
},
"timestamp": "2026-10-12T07:11:01.516Z"
},
{
"id": "greenhouse-lever-jobs-api_1004",
"service": "greenhouse-lever-jobs-api",
"title": "GREENHOUSE LEVER JOBS Record #5",
"status": "VERIFIED_ACTIVE",
"result": "Processed query successfully for greenhouse-lever-jobs-api",
"inputReceived": {
"companies": [
"stripe",
"figma"
],
"atsType": "all",
"departmentFilter": "sample_value"
},
"data": {
"index": 5,
"relevanceScore": 0.75,
"summary": "High-fidelity structured response for GREENHOUSE LEVER JOBS query parameter extraction.",
"attributes": {
"region": "Global",
"category": "GREENHOUSE",
"timestamp": "2026-10-12T07:11:01.516Z"
}
},
"timestamp": "2026-10-12T07:11:01.516Z"
}
]
curl --location --request POST 'https://zylalabs.com/api/14164/greenhouse+and+lever+ats+tech+job+postings+scraper+api/35208/execute+greenhouse+and+lever+ats+tech+job+postings+scraper+api' --header 'Authorization: Bearer YOUR_API_KEY'
--data-raw '{"companies":["stripe","figma"],"atsType":"all","departmentFilter":"sample_value"}'
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 温室和杠杆ATS技术职位发布抓取器 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返回结构化的JSON数据,包含有关技术职位发布的详细信息,包括职位名称、描述、要求、公司信息、地点、工作类型(远程/混合)、薪资范围和申请网址
响应中的关键字段包括“id”“title”“status”“result”“inputReceived”和“data”其中包含“region”“category”和“timestamp”等属性提供有关每个职位发布的全面详细信息
响应数据以 JSON 数组的形式组织,每个职位发布都表示为一个包含嵌套字段的对象。这种结构允许轻松访问特定属性,如职位名称、地点和申请网址
该API提供有关职位名称、部门、地点、工作场所类型(远程/混合)、薪资范围和申请网址的信息,使用户能够获取有关科技职位空缺的全面洞察
用户可以通过指定“公司”、“atsType”和“departmentFilter”等参数来自定义请求。这使得基于特定标准针对性地抓取职位发布成为可能
数据来源于两个知名的求职者追踪系统(ATS):Greenhouse和Lever。这确保了来自信誉良好的公司的广泛技术职位发布
典型的用例包括招聘机构汇总职位发布 职位板分析市场趋势 以及组织通过高效识别潜在人才库来优化招聘策略
用户可以利用返回的数据分析就业市场趋势,简化招聘流程,提高可用职位的可见性,从而最终改善他们的招聘策略