Hacker News Who is Hiring Job Extractor
Pricing
$2.00 / 1,000 results
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Hacker News Who is Hiring Job Extractor
Extract structured jobs, hiring company names, recruiter emails, salary ranges, tech stacks, and remote options from Hacker News monthly hiring threads.
Pricing
$2.00 / 1,000 results
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0.0
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Developer
Darim Quraishi
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
18 hours ago
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Hacker News Who is Hiring Scraper
Extract structured job postings, company names, contact emails, salary ranges, and tech stacks from monthly Hacker News hiring threads.
Features
- Queries monthly Ask HN: Who is hiring? threads via the official Firebase API.
- Extracts hiring company names, job titles, and locations.
- Parses direct contact email addresses and application URLs.
- Identifies remote status and regional restrictions.
- Extracts salary ranges and detected technology keywords.
- Processes full monthly threads in seconds with zero proxy setup.
Input parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
threadSelection | String | "latest" | latest (Auto-detect newest thread) or custom_id (Specific story ID). |
customStoryId | Integer | null | Optional Hacker News story ID (e.g., 49922569 for Oct 2026). |
remoteOnly | Boolean | false | Only include listings explicitly offering Remote / Anywhere. |
keywordFilter | String | "" | Filter jobs by skill, role, or tech stack (e.g. Python, Rust, AI). |
maxJobs | Integer | 100 | Maximum number of job postings to extract. |
Output format
json { "company": "Supabase", "role": "Founding Infrastructure Engineer", "location": "San Francisco, CA / Remote", "isRemote": true, "salary": "$160,000 - $210,000 + Equity", "emails": ["jobs@supabase.com"], "urls": ["https://supabase.com/careers"], "techStack": ["Rust", "PostgreSQL", "Go", "Docker"], "hnCommentUrl": "https://news.ycombinator.com/item?id=49922570", "publishedAt": "2026-10-01T15:00:00.000Z", "scrapedAt": "2026-10-20T12:00:00.000Z" }Use cases
- Technical recruitment: Source founders and engineering hiring managers directly from postings.
- Job search: Filter hiring threads by specific tech stacks and remote eligibility.
- B2B sales: Identify early-stage and high-growth companies expanding engineering teams.
- Hiring trend analysis: Track technology stack popularity among tech startups.
Pricing and efficiency
- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.