LinkFetch

Name: 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.
Creator: LinkFetch

LINKFETCHManage supplier listing

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.

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Sample

Brickroad customers

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Coverage

Universe, instruments and categories.

Industry: Application SoftwareHuman Capital & Employment Services
Instruments: equities
Categories

Dataset card

Type: not stated
Format: Tabular — delivered as a typed JSON REST API, MCP tool responses, and bulk PostgreSQL dump / CSV / JSONL archive.
Volume: 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.
Users: N/A — developer/API data product with self-serve subscription tiers, not a registered-user platform; buyer base is credit-card API subscribers plus $199 archive purchasers, likely low hundreds.
History: not stated
Update frequency: not stated
Growth: Active and early — the archive begins April 2026 and is already at 8M+ rows, with daily indexing across 218 regions and an MCP server surface aimed at the current agent-tooling wave.
Launched: ~2026 — archive's earliest captured data is April 2026, and the product markets an MCP server for Claude Desktop/Cursor/Zed, an integration class that only became mainstream in 2025-2026; likely launched within months before that first crawl.
Delivery: not stated
Entity mapping: not stated
Sample: not stated
Point-in-time: not stated
Licence: not stated

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