Substack Hiring Signal Scraper — Prime Sieve

Structured tech jobs from tech-hiring Substack newsletters, in one feed.

Curated by Prime Sieve. Built on top of the Remote Signal newsletter workflow.

What it does

Give it a list of Substack newsletter RSS feeds (or use the curated defaults) and get back structured job postings with:

• company — extracted from title patterns ("Role at Company")
• role — job title
• location — when listed
• seniority — intern/junior/mid/senior/staff/principal/lead/director/head of/CTO
• salary — when disclosed (USD/EUR/GBP/€ / £, including "k" notation)
• remote — boolean (matches remote / WFH / anywhere / worldwide)
• tech_stack — extracted languages/frameworks/cloud (Python, TS, React, AWS, K8s, etc.)
• apply_url — direct link to the post
• published_at — ISO timestamp

De-duplicated across newsletters (same job cross-posted = one row).

Pricing

$0.80 per 1,000 results (pay-per-result). Compared to the only competitor:

	Prime Sieve (this)	parseforge/tech-jobs-newsletter-substack
Price / 1K results	$0.80	$21.00
Default curated feeds	✅ 6 hiring newsletters	❌ user supplies all
Structured fields (salary, tech stack, seniority)	✅	❌ raw RSS
De-duplication	✅ built-in	❌ user-side
Remote filter	✅	❌

90% cheaper + ships structure instead of raw RSS.

Use cases

1. Personal job search dashboard — point at 5-10 niche newsletters, filter for "staff engineer" + "remote", get a daily feed
2. Recruiting signal — track which companies keep showing up across newsletters (hiring velocity)
3. Newsletter curation — feed your own Substack a weekly digest (this is how Remote Signal is built)
4. Market intelligence — track tech stack trends and salary bands across the newsletter ecosystem

Input

{
  "newsletters": [
    "https://remotesignal.substack.com/feed",
    "https://jobhired.substack.com/feed"
  ],
  "lookbackDays": 30,
  "maxItems": 100,
  "keyword": "python",
  "remoteOnly": false
}

All fields are optional. Defaults ship 5 curated tech-hiring newsletters.

Output sample

{
  "source": "Remote Signal",
  "title": "Senior Python Engineer at Stripe",
  "company": "Stripe",
  "role": "Senior Python Engineer",
  "location": null,
  "seniority": "Senior",
  "salary": "$160K-$220K",
  "remote": true,
  "tech_stack": ["python", "aws", "postgres"],
  "apply_url": "https://remotesignal.substack.com/p/...",
  "published_at": "2026-09-02T14:30:00.000Z",
  "body_excerpt": "We're hiring senior engineers to build out our payments infrastructure..."
}

How it works

1. Fetches each RSS feed with rss-parser
2. Filters posts by date (lookbackDays)
3. Extracts structured fields via regex (title patterns for company/role, body patterns for salary/tech/remote/seniority)
4. De-duplicates by URL or (title + company) key
5. Pushes each result to the dataset with pay-per-result charging

Limitations

• Field extraction is regex-based (no LLM). Works well for clear structured posts; misses niche formatting.
• Free RSS feeds only — no login, no paywall-bypass.
• Substack summaries only — full body text may be truncated if the author set RSS to excerpt-only.

Roadmap

• LLM-based description parsing (GPT-4o-mini) for better field extraction
• Tech stack trend tracking across runs (weekly deltas)
• Browser extension that one-clicks "subscribe to this newsletter" for new sources

---

📬 Get Remote Tech Roles Weekly

Prime Sieve ships the Remote Signal newsletter every Wednesday — 5 featured remote engineering roles + 10 quick hits, with tech stack and salary when disclosed. This Actor is the data pipeline behind it.

👉 Subscribe to Remote Signal

About Prime Sieve

Prime Sieve is the dev/tech brand by PrimeSieveCoder. We build small, sharp tools for solo developers — Apify actors, micro-SaaS, and the Remote Signal newsletter. Our other actors cover GitHub repo search, Apify Store scraping, music charts, and more.

Built in Indonesia. Run from anywhere.