Export roles across trades, site management, estimating, and safety with certification and project size clues. Output in json for project staffing.
Project managers, superintendents, estimators, QS, schedulers, HSE, and skilled trades.
Capture OSHA/ISO and local code references where listed.
Extract scope/valuation hints (residential, commercial, infrastructure).
Enter construction keywords, include/exclude terms, set target geographies, seniority levels, company filters, and a posting date window.
We fetch live LinkedIn job results that match your criteria, parse the listings, normalize fields, and remove duplicates by stable identifiers.
Preview a sample of parsed results, adjust filters if needed, and re-run. Persist your configuration as a saved search for future runs.
Export the curated dataset in json. Each file uses a consistent schema designed for spreadsheets and BI tooling.
We parse directly from current listing markup and apply validation rules. Typical field precision exceeds 95% on core attributes (title, company, location, URL). Salary and skills extraction depends on listing completeness.
Yes. You can export thousands of rows per run. For very large pulls, schedule multiple smaller windows (by date or location) to keep files responsive in Excel and Google Sheets.
On-demand. Each run pulls fresh results at execution time. Use saved searches and schedules to maintain weekly or daily cadence.
Yes. The json output is clean and consistent for direct use in Excel, Google Sheets, Power BI, Tableau, Looker Studio, and CSV-based ETL.
We implement rate controls, responsible use, and data hygiene. You are responsible for using exported data in accordance with LinkedIn's terms and applicable laws.
Build a defensible hiring and market-intelligence workflow with clean json datasets that your team can trust.
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