Our Bonobos Scraper API delivers USD prices, fit-finder sizing, Guideshop showroom data and men's premium-fit variant intelligence from the US's #1 men's premium-fit fashion DTC. One Bonobos API call returns clean, structured JSON — ready for your pricing, assortment and competitive-intelligence workflows.
Bonobos is the authoritative price signal for US men's premium-fit DTC fashion.
Chino / dress-pant / shirt fit variants (Slim / Standard / Athletic) captured per SKU.
60+ Guideshop showroom locations — unique omnichannel try-on signal.
Industry-leading return policy flags per SKU — critical for DTC margin intelligence.
Real data structure from Product Data Scrape. Pre-parsed JSON. Platform-specific schema.
Fashion brands monitor Bonobos for channel strategy and MAP enforcement.
Repricers factor Bonobos into their competitive baselines.
Agencies managing Bonobos alongside peer retailers for brand clients.
Retail-ops teams map Bonobos store stock to understand demand distribution.
AI apps ingest the Bonobos catalog for fashion recommendations.
Consultancies include Bonobos data in fashion market-share decks.
Bonobos pricing + stock refresh every 10-15 minutes on top SKUs via the API. Each call returns the current snapshot with scraped_at timestamp.
Yes — size / color / configuration variants with per-variant stock status and prices are returned per SKU.
Yes — country field is returned per record so you can filter by USA or any available market the brand serves.
99.3%+ success rate across our target SKU set. Each response includes response_time_ms + credits_used in api_meta for transparent audit.
Yes — loyalty-tier pricing surfaces per SKU where the brand exposes it (member pricing, subscription-tier pricing, rewards redemption).
1 credit per call. Free 1,000 credits. Paid from $49/month for 25,000 calls. Volume discounts available.
See the exact fields, accuracy and format — for your products, on your target sites — before you spend a rupee or a dollar.
Tell us what you need and a specialist replies within one business day.