Scrape Wayfair into clean JSON: keyword and brand product search, full product details with prices and specs, and paginated customer reviews with an AI-generated summary and aspect sentiments. 3 operations, one dataset. For price monitoring, catalog mapping and review intelligence.
All notable changes to the Wayfair Scraper — Products, Prices & AI Reviews API will be documented in this file.
[1.1.0] — 2026-08-24
🔁 Fixed — no more paying twice for the same product
Wayfair re-serves some products across page boundaries when the result set shifts mid-search. A
run for "sofa" returned 240 rows holding only 231 distinct SKUs, and every repeat was billed.
Repeats are now skipped, and the final stats line tells you how many were.
Reviews are unaffected: many reviews legitimately share one SKU and all of them still arrive.
[1.0.0] — 2026-06-06
🎉 Wayfair Scraper — Launch!
AI Review Intelligence (SIÁN exclusive) — every review row carries Wayfair's AI-generated review summary and aspect sentiments; no other Wayfair (or cross-platform) review scraper exposes this
No-API-Key Wayfair Data Access — the Wayfair API alternative that needs no Wayfair API key and no developer registration
3 Operations, One Actor — Product Search · Product Details · Product Reviews, picked from a single dropdown
Reliable where rivals get blocked — Wayfair actively blocks direct scraping; the upstream absorbs the anti-bot layer and the actor retries transparently on transient blocks
Brand & Category Browse — search by keyword OR browse an entire brand by manufacturer ID, optionally narrowed to a category
Curated + Raw Fields — camelCase aliases (sku, productName, price, rating, aiReviewSummary, aspectSentiments) plus raw upstream fields spread alongside
💎 User Benefits
Build a Wayfair price tracker in minutes — capture price, listPrice, isOnSale, and inStock on every row; schedule and diff
Voice-of-customer insight without an NLP pipeline — read the AI summary and aspect sentiments straight from the dataset
Pay only for successful rows — failed lookups land as status:"error" rows at $0
One clean dataset shape across all three operations; filter by _operation and status, export to JSON, CSV, or Excel
5 marketplaces (com, ca, co.uk, ie, de); native sort, color, price, and in-stock filters
🎯 Use Cases
Price-tracking SaaS founders building a Wayfair price tracker on a daily cron
E-commerce ops teams mapping competitor catalogs and brands
Brand teams mining Wayfair review sentiment with the built-in AI summary
Teams enriching a furniture/home-goods catalog with specs, variants, and images
Merchandising analysts benchmarking listings against Wayfair best-sellers
