Scrape Energy Jobs to JSON — Oil & Gas, Power, Renewables
Export roles across upstream, midstream, downstream, utilities, and renewables with asset/technology signals. Output in json for project staffing.
Why Scrape Energy Roles to JSON?
Domain Signals
Tag exploration/production, grid/transmission, solar, wind, storage, hydrogen.
Certification & Safety
Capture safety tickets and standards where listed.
Asset & Site Clues
Extract plant/site mentions and project lifecycle hints.
How to Scrape Energy Jobs to JSON
Define the Search
Enter energy keywords, include/exclude terms, set target geographies, seniority levels, company filters, and a posting date window.
Run Extraction
We fetch live LinkedIn job results that match your criteria, parse the listings, normalize fields, and remove duplicates by stable identifiers.
Validate and Refine
Preview a sample of parsed results, adjust filters if needed, and re-run. Persist your configuration as a saved search for future runs.
Download the JSON
Export the curated dataset in json. Each file uses a consistent schema designed for spreadsheets and BI tooling.
Key Features for Energy Job Scraping
Frequently Asked Questions
How accurate is the energy job data?
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.
Can I export large datasets to json?
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.
How often is data updated?
On-demand. Each run pulls fresh results at execution time. Use saved searches and schedules to maintain weekly or daily cadence.
Is the json export compatible with BI tools?
Yes. The json output is clean and consistent for direct use in Excel, Google Sheets, Power BI, Tableau, Looker Studio, and CSV-based ETL.
Do you respect platform guidelines?
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.
Start Scraping Energy Jobs Today
Build a defensible hiring and market-intelligence workflow with clean json datasets that your team can trust.
Get Started Now