Price Finder API
Real-time pricing intelligence across multiple marketplaces — normalized, conditioned, and delivered as structured data for automated pricing decisions.
Manual price research doesn't scale.
Competitive pricing requires knowing what similar items are actually selling for — not just listed for. That means checking multiple platforms, filtering by condition and recency, and normalizing inconsistent data formats across sources. Done manually, it's a bottleneck that limits how fast inventory can move.
Query once. Get market reality.
A pricing API that accepts product identifiers (barcode, ASIN, catalog number, title + artist) and returns normalized pricing data — recent sold prices, active listing ranges, and condition-adjusted recommendations.
Multi-source data collection
Apify scrapers query Discogs marketplace, eBay sold listings, and Amazon simultaneously. Searches scoped to recently sold items only — not just active listings.
Condition normalization
Listing condition grades (VG+, NM, EX, etc.) normalized to a standard scale. Price outliers filtered. Condition-adjusted averages computed per grade tier.
Pricing recommendation
AI layer applies market positioning logic — competitive entry price, optimal price for velocity, and maximum price for premium listings — returned as structured JSON.
Integration with inventory system
Pricing data feeds directly into the Vinyl to Space pipeline and warehouse automation system — no manual step required between research and listing.
Tools Used
Apify, Python, Make.com, Airtable, OpenAI, Discogs API, eBay API, Amazon SP-API
Outcome
Pricing decisions that previously took 3–5 minutes per item now complete in under 8 seconds. Consistently competitive pricing without manual research.
Reusability
API designed to accept any product category — not vinyl-specific. Extendable to books, electronics, collectibles, or any marketplace-traded goods.