{
"count": 10,
"items": [
{
"type": "job",
"id": "49922584",
"company": "PrairieLearn (Remote US)",
"headline": "PrairieLearn (Remote US) — Full-Stack Software Engineer — TypeScript / Postgres / React / AI",
"roles": [
"Full-Stack Software Engineer"
],
"locations": [],
"remote": true,
"onsite": false,
"hybrid": false,
"fullTime": false,
"partTimeOrContract": false,
"internship": false,
"visaSponsorship": false,
"salary": null,
"applyUrl": "https://www.prairielearn.com",
"links": [
"https://www.prairielearn.com",
"https://github.com/PrairieLearn/PrairieLearn",
"https://www.prairielearn.com/jobs-ashby?utm_source=YeEJ5MAKkr&ashby_jid=ee6fdbc3-1c3a-4fa3-bb3f-13ddab449baf"
],
"description": "PrairieLearn (Remote US) — Full-Stack Software Engineer — TypeScript / Postgres / React / AI\nPrairieLearn (https://www.prairielearn.com) is an open-source assessment platform used",
"postedAt": "2026-10-01T15:02:37.000Z",
"author": "mwest1066",
"thread": "Ask HN: Who is hiring? (October 2026)",
"threadId": "49922569",
"hnUrl": "https://news.ycombinator.com/item?id=49922584",
"scrapedAt": "2026-11-02T13:19:37Z"
},
{
"type": "job",
"id": "49922593",
"company": "Shepherd (Series B)",
"headline": "Shepherd (Series B) | ONSITE | San Francisco, CA & New York City, NY",
"roles": [],
"locations": [
"ONSITE",
"San Francisco, CA & New York City, NY"
],
"remote": false,
"onsite": true,
"hybrid": false,
"fullTime": false,
"partTimeOrContract": false,
"internship": false,
"visaSponsorship": false,
"salary": null,
"applyUrl": "https://shepherdinsurance.com/careers",
"links": [
"https://shepherdinsurance.com/careers",
"https://shepherdinsurance.com/blog"
],
"description": "Shepherd (Series B) | ONSITE | San Francisco, CA & New York City, NY\nAt Shepherd, we're pursuing the most ambitious technical vision in commercial insurance: fully autonomous under",
"postedAt": "2026-10-01T15:02:51.000Z",
"author": "shepherd-eng",
"thread": "Ask HN: Who is hiring? (October 2026)",
"threadId": "49922569",
"hnUrl": "https://news.ycombinator.com/item?id=49922593",
"scrapedAt": "2026-11-02T13:19:37Z"
},
{
"type": "job",
"id": "49922609",
"company": "Sidekick Labs",
"headline": "Sidekick Labs | Senior SWE, R&D Engineer, Intelligence Engineer | REMOTE (US Timezones) | Full-time | $170k to $230k Base + Equity + Health",
"roles": [
"Senior SWE, R&D Engineer, Intelligence Engineer"
],
"locations": [
"REMOTE (US Timezones)"
],
"remote": true,
"onsite": false,
"hybrid": false,
"fullTime": true,
"partTimeOrContract": false,
"internship": false,
"visaSponsorship": false,
"salary": "$170k to $230k",
"applyUrl": "https://www.linkedin.com/in/three-two-one",
"links": [
"https://www.linkedin.com/in/three-two-one",
"https://sidekicklabs.com"
],
"description": "Sidekick Labs | Senior SWE, R&D Engineer, Intelligence Engineer | REMOTE (US Timezones) | Full-time | $170k to $230k Base + Equity + Health\nSidekick builds AI security software for",
"postedAt": "2026-10-01T15:03:36.000Z",
"author": "mcintyem",
"thread": "Ask HN: Who is hiring? (October 2026)",
"threadId": "49922569",
"hnUrl": "https://news.ycombinator.com/item?id=49922609",
"scrapedAt": "2026-11-02T13:19:38Z"
}
]
}
curl --location --request GET 'https://zylalabs.com/api/14677/who+is+hiring+jobs+api/37944/hacker+news+scraper?mode=hiring&remoteOnly=false&hiringMonths=1&contentType=stories&sortBy=date&postedWithinDays=OptionalminPoints=OptionalmaxItems=100' --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 谁在招聘工作 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"。
|
每月Hacker News招聘信息解析为JSON格式,包括公司、职位、地点、远程标志、薪资和申请链接
Hacker News 的工作、故事和评论以 JSON 格式展示。招聘线程解析为公司、职位、地点、远程、薪资和申请链接。关键字、积分和日期过滤器,仅新模式
每个请求最多可返回100个结果(默认20个)使用每个端点的限制参数(如果可用)
每个请求都会从公共源收集实时数据 相同的请求可以从缓存中提供最多6小时
列表参数接受多个用逗号分隔的值,例如:伦敦,巴黎
GET Hacker News Scraper 端点返回从 Hacker News "谁在招聘" 主题解析的职位列表 每个列表包括公司名称 职位角色 地点 远程状态 薪资 和申请链接 所有信息都以 JSON 格式呈现
响应数据中的关键信息字段包括“公司”、“标题”、“职位”、“远程”、“薪资”和“申请链接”。这些字段提供有关每个职位列表的重要信息
响应数据以JSON格式组织,其中包含一个“count”字段表示结果数量,以及一个“items”数组包含各个职位列表,每个职位以具有特定属性的对象表示
该端点提供有关职位角色、公司名称、远程工作选项、薪资详情和申请链接的信息 它捕获了来自各种公司的广泛职位机会
用户可以通过使用参数,如“limit”来指定结果数量,和“filter”来根据地点或角色等特定标准缩小职位列表来定制他们的请求
典型的使用案例包括求职 市场分析招聘趋势以及为特定角色或地点汇总工作机会 开发人员可以将这些数据集成到招聘网站或职业平台中
通过抓取Hacker News上的实时信息来维护数据的准确性,确保列表反映当前的职位空缺。API直接从“谁在招聘”主题中的用户提交中捕获数据
标准数据模式包括具有不同远程状态、角色和薪资信息的职位列表。用户可以期待混合的全职、兼职和合同职位,有些列表缺乏薪资细节