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feat: add mid-range sellers by category analysis pipeline

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This new pipeline identifies products meeting specific monthly sold, price, seller count, and Amazon buy box share criteria across categories. It fetches comprehensive product data from Keepa and SP-API, analyzes it using an LLM, and persists the results.

A key enhancement is the introduction of a dedicated Redis cache for Keepa and SP-API responses. This reduces API token consumption and improves performance for subsequent runs by caching enriched ASIN data with a 12-hour TTL. Products are saved regardless of their sellability status to provide a complete view.
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Victor Noguera
2026-05-02 12:03:31 -04:00
parent 9b832b7839
commit f2c8a9728d
5 changed files with 2409 additions and 1 deletions
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package.json
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@@ -6,6 +6,7 @@
"scripts": {
"bestsellers": "bun run src/bestsellers-by-category.ts",
"monthly-sold": "bun run src/top-monthly-sold-by-category.ts",
"mid-range": "bun run src/mid-range-sellers-by-category.ts",
"upc": "bun run src/upc-lookup.ts",
"upc-file": "bun run src/upc-file-analysis.ts",
"start": "bun run src/index.ts",