LinkFetch

LinkFetch — Continuously crawled LinkedIn job-posting corpus normalised into typed columns: 45,000+ new postings indexed daily across 218 regions, with parsed salary (min/max/currency/interval), seniority level, employment type, is_active flag, applicant_count as an integer with timestamped history, and per-row provenance (source, fetched_at, freshness_days) plus first_seen_at / last_seen_at lifecycle timestamps.. Small indie data operation monetising a large table: flat pricing ($29/$99 monthly API tiers, $199 one-time archive, $49/month live Postgres) and an offering to 'hire the person who…

LinkFetch offers (Alternative, Sentiment, Fundamental) — 8M+ postings in the archive as of the current snapshot, growing ~45,000 rows/day (~1.35M/month); each row carries ~15-20 typed fields plus an applicant_count time series, so effective volume exceeds the row count..

Private-hiring and capex-nowcast alpha (AI/semiconductor/engineering headcount buildout tracked before filings disclose it); revenue-planning for staffing and workforce-management firms; corporate health and reorganisation detection (post-layoff repost patterns, region-level hiring freezes); labour-market and wage-inflation indices from parsed salary bands; supply-chain and site-selection models from location-tagged postings; retrieval/grounding corpora and tool-use training for AI agents that must reason about job-market state.

Coverage spans US; Application Software, Human Capital & Employment Services; alternative, sentiment, fundamental; equities.