I need a clean, reliable way to pull company-level information from LinkedIn and have it land in a single, well-structured Excel workbook. The focus is strictly on company data, not individual member profiles. Scope • Company overview and description — the text that appears in the “About” section, industry tags, founding year, headquarters location, specialties and website URL. • Employee details — total headcount, growth trends if visible, plus a list of key employees with their current titles. • Job postings — all active roles with posting dates, locations and job IDs. The workflow can rely on the LinkedIn API, an authenticated scraper, or a hybrid solution; I only care that the data is accurate and can refresh on demand without violating LinkedIn’s terms. A background in Python, Selenium, Puppeteer or similar scraping tools will help, but use whatever stack lets you meet the brief. Deliverable An Excel file (.xlsx) with separate, clearly labelled tabs for Overview, Employees and Jobs. Column headers must be consistent so I can import the sheet straight into Power BI. Acceptance criteria • Data for the first test batch of companies matches what is publicly visible on LinkedIn the same day it is delivered. • No missing fields for the three data categories above. • Workbook opens without macros or security warnings. Please outline your proposed method, expected turnaround time and any questions you need answered before getting started.