HN "Who Is Hiring" Scraper

Pulls every job posting from Hacker News's monthly "Who Is Hiring" thread. Extracts company, role, location, remote/onsite/visa flags, and apply link. The highest-signal job feed on the internet, fully structured.

What you get back per posting

Field	Description
company	Hiring company (parsed from comment first line)
role	Role title
location	City / region / "Remote"
remote	true if posting marks REMOTE
onsite	true if posting marks ONSITE
visa	true if posting marks VISA welcome
intern	true if posting marks INTERN
first_link	The first URL in the comment (usually the apply link)
raw_text	Full posting text (first 2000 chars), for downstream parsing
thread_url	The HN thread
comment_url	Direct link to the comment
posted_at	When the posting was made
author	HN username who posted

Pricing

• Preview mode: $0 (10 results)
• Standard: $0.01 per posting returned

Typical monthly thread has 200-500 postings = $2 to $5 to extract everything.

Use cases

Recruiters at AI/devtools companies use the monthly HN hiring thread to identify other companies hiring for similar roles (signal of growth), and to find direct apply links for talent mapping.

B2B SDRs at devtools / DevOps / AI companies use the hiring signal as proof a company is scaling. Hiring engineers = budget for engineering tools.

VC scouts use the hiring volume + role mix as a growth signal for portfolio companies and new prospects.

Job seekers use the structured output to filter by remote/onsite/visa/intern far faster than reading 300 comments.

How to use it

1. Click Try for free with preview_mode ticked.
2. Use thread_mode: latest to grab the most recent monthly thread. Or use specific + an HN story_id for historical scrapes.
3. (Optional) remote_only: true to filter remote postings.
4. (Optional) include_keywords: "senior, staff, principal" to filter to senior+ roles. Or "AI, ML, infra" for tech-stack targeting.
5. Hit Start.

Pipeline: combine with AI Sales Personalizer

1. Run this scraper monthly. Get 200-500 hiring companies.
2. Export the unique company + first_link columns.
3. Run those through AI Sales Personalizer with your devtools / recruiting / agency pitch.
4. Push to your sequencer.

Total monthly cost: $5 (HN scrape) + ~$45 (300 personalizations at $0.15) = $50 for a fresh, personalized devrel/recruiting pipeline against the highest-signal hiring source on the internet.

Sister actors

• AI Sales Personalizer: turns hiring companies into personalized outreach
• GitHub Trending Scraper: complementary OSS-maintainer leads
• Show HN Lead Scraper: complementary product-launch leads
• ProductHunt Daily Launches Scraper: complementary product-launch leads

Pairing all five gives the most complete real-time B2B target feed available for under $20 per month.

What this does NOT do

• It does not parse every postings's exact role into atomic fields (titles vary too much). It extracts the first line as company and role, and the full text as raw_text for your own downstream parsing.
• It does not send emails or applications.
• It does not check that companies still have the role open (HN postings can be 30 days old).

FAQ

Q: Why HN Algolia and not direct HN API? HN Algolia indexes comments by parent story ID, which is the fastest way to extract all postings from a single thread. It is the official partner search index for HN.

Q: What if the parse misses some fields? Postings format varies. raw_text is the original, use it as the ground truth and parse downstream if needed.

Tags

leads lead-generation hacker-news who-is-hiring recruiting tech-recruiting b2b sales sdr devrel

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Built by Emily Ward, Sydney.