title: Google Jobs Proxy for vacancy insights and salary benchmarks
description: A commercial-grade proxy and parsing stack for Google Jobs that captures structured roles, salaries, and application links—exported as clean JSON—so TA, HR, and strategy teams get market-ready intelligence without brittle scrapers or compliance risk.
Hiring signals are hyper-local. Availability, salary exposure, and employer mix can change between ZIP codes, not just cities. That’s why our proxy mesh is built around geo accuracy and session integrity rather than raw IP count.
All traffic is observable: we track success-per-10k calls, TTFB, valid-page yield after retries, and anchor checks (job card, employer, location, salary).
Google Jobs aggregates postings across boards and employer sites; consistency is the challenge. We normalize heterogenous cards into a governed schema and keep provenance so your BI can trust every row.
Quality gates validate locale, currency coherence, and required anchors before a record enters your warehouse.
With a clean, deduped feed, teams move from snapshot lists to decisions.
Dashboards include pay-band distributions, role scarcity scores, and geo penetration by employer—ready for weekly exec readouts.
Score partners on predictable outcomes, not pool size. Demand evidence that survives audits and powers BI without cleanup.
Our offer. Guided onboarding, week-one golden-set evaluation, dashboards wired to your BI, and turnkey exports to S3/GCS/Azure with manifest files tying artifacts to provenance.
Call to action: Ready to benchmark salaries and track hiring moves with confidence? Start a 14-day pilot with target SLOs (schema pass-rate, valid-page yield, latency) and compare ROI against your current stack.