I need a lean proof-of-concept that pulls fresh B2B leads directly from social-media APIs. The core goal is simple: connect to the official endpoints of major networks (think LinkedIn, Facebook, Twitter or any other platform you can legally access), fetch company-focused profile data that matches a set of keywords or filters, and drop the results into a tidy CSV or Excel file. Key points • API integration is the single must-have feature. • Focus exclusively on B2B data; consumer-oriented fields are not necessary. • A lightweight command-line or web dashboard is fine—as long as I can enter a search term, click “run,” and watch leads appear. • Include a short README explaining the required tokens/keys, setup steps, and how to extend the code to new platforms later. Keep the build minimal: no elaborate UI, no paid third-party scrapers—just clean code, documented endpoints, and a repeatable way to export results. If you have experience with Python (requests, pandas) or Node.js (axios, csv-writer) and can deliver a working demo fast, I’d love to see your approach and timeline.