{"repo":"Umair706/amazon-omniscient","free":true,"listed":false,"github":"https://github.com/Umair706/amazon-omniscient","clone":"git clone https://github.com/Umair706/amazon-omniscient.git","description":"Amazon FBA Product Research Engine — BSR tracker, competitor analysis, profit calculator, niche finder. Alternative to Helium 10 & Jungle Scout. Python/FastAPI + Next.js + AI-powered.","language":"Python","stars":19,"topics":["ai","amazon-api","amazon-fba","amazon-product-research","amazon-scraper","amazon-seller-tools","competitor-analysis","ecommerce","fastapi","fba-calculator"],"license":null,"category":"ecommerce","readme_excerpt":"Omniscient — Amazon Product Research Tool Open-source Amazon FBA product research software — an alternative to Helium 10, Jungle Scout, and AMZScout for finding profitable private label products. Omniscient is a full-stack Amazon product research engine that automates niche analysis, competitor intelligence, supplier sourcing, profit margin calculation, and sales estimation. It scrapes Amazon product data, tracks BSR (Best Sellers Rank) history, analyzes reviews with AI, calculates landed costs and FBA fees, and generates 52-week financial projections across bull/base/bear scenarios. Built for Amazon FBA sellers, private label entrepreneurs, and e-commerce businesses who want a self-hosted, data-driven product research tool without recurring SaaS subscription fees. Keywords amazon product research amazon fba tool private label product finder amazon niche finder bsr tracker amazon competitor analysis fba profit calculator amazon keyword research product opportunity score amazon seller tools helium 10 alternative jungle scout alternative amazon scraper fba revenue calculator amazon market analysis --- What It Does 1. Scrapes & collects Amazon search results, product pages, reviews, and BSR history using headless Playwright browsers with rotating proxies (free via proxyscrape.com or paid residential) 2. Scrapes 1688.com suppliers for real factory pricing, MOQs, and supplier ratings to feed into landed cost calculations 3. Analyzes competition by scoring listing quality across 7 ","default_branch":null,"files":null,"tree":[],"storefront":"/r/Umair706","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Umair706/amazon-omniscient/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}