Faire Market Scraping
DataWeBot extracts wholesale product listings, brand profiles, pricing, and market intelligence from Faire — the world's leading B2B wholesale marketplace connecting 100K+ independent brands with 700K+ retailers globally.
Data Types DataWeBot Extracts
Comprehensive coverage of Faire's wholesale marketplace data — from brand product listings and pricing to retailer demand signals and category trend intelligence.
- Product titles and descriptions
- Wholesale price (per unit)
- Minimum order quantity (MOQ)
- Suggested retail price
- Reorder minimums
- Wholesale price
- Net 60 payment eligibility
- Free returns program flags
- Faire Direct commission rates
- Volume discount tiers
- Brand name and location
- Category specialization
- Years on Faire
- Retailer review ratings
- Review count and sentiment
- Category search rankings
- Trending brand placements
- New brand discovery
- Bestseller indicators
- Editor's picks
- Category growth signals
- Emerging brand identification
- Wholesale price benchmarks by category
- MOQ trend analysis
- New-to-market brand tracking
- Retailer count per brand
- Reorder rate signals
- Featured/spotlight placements
- Market penetration indicators
- New category entrant tracking
Platform Ecosystem
Faire's ecosystem removes traditional wholesale friction through discovery matching, flexible payment terms, and risk-free returns — making it the default wholesale operating system for independent retail.
Use Cases
From wholesale pricing benchmarking to emerging brand discovery, Faire data delivers wholesale market intelligence for brands, retailers, and investors tracking independent retail trends.
- Wholesale price benchmarks by category
- Markup percentage distribution analysis
- MOQ comparison across competing brands
- Volume discount tier benchmarking
- Net 60 eligibility rate by category
- New product listing detection
- Price change alerts
- Rating and review volume trends
- Catalog depth and breadth changes
- Collection and bundle strategy shifts
- Retailer count growth by brand
- Reorder rate signals
- Featured placement frequency
- Category browse demand patterns
- Retailer concentration by geography
- New brand listing date tracking
- Review velocity signals
- Category ranking rise detection
- Retailer adoption rate signals
- Editor's pick and spotlight placements
- Category brand count growth trends
- New entrant detection by category
- Price compression analysis over time
- Seasonal category demand patterns
- Cross-category brand expansion signals
- First-order MOQ by category
- Reorder minimum distribution
- Case pack size benchmarking
- MOQ vs. price tier correlation
- MOQ trend analysis over time
Sample Data Fields
A representative sample of the structured fields delivered in every Faire wholesale dataset.
| Field | Example | Type |
|---|---|---|
| brand_id | FAIRE-BR-456789 | string |
| brand_name | Wild Botanics Candle Co. | string |
| brand_location | Portland, OR, US | string |
| product_name | Hand-Poured Soy Candle - Cedar & Sage 8oz | string |
| category | Home > Candles & Aromatherapy | string |
| wholesale_price_usd | 14.00 | float |
| suggested_retail_usd | 32.00 | float |
| markup_pct | 129 | float |
| moq_units | 6 | integer |
| reorder_min_units | 3 | integer |
| net60_eligible | true | boolean |
| free_returns | true | boolean |
| brand_rating | 4.8 | float |
| brand_review_count | 342 | integer |
| years_on_faire | 3 | integer |
| scraped_at | 2025-07-12T09:00:00Z | timestamp |
About Faire
Faire is the world's leading B2B wholesale marketplace connecting independent brands with over 700,000 independent retailers globally. The platform processes billions in wholesale GMV annually, offering brands access to retail buyers with net-60 payment terms and a risk-free returns program that eliminates traditional wholesale friction. Faire's discovery algorithm acts as a matchmaking engine between brands and retailers, making visibility on the platform a competitive advantage.
DataWeBot extracts Faire brand listings, wholesale pricing, minimum order quantities, retailer categories, and brand metrics — delivering wholesale market intelligence for brands, retailers, and investors tracking independent retail trends.
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Frequently Asked Questions
Everything you need to know about our ecommerce data extraction services.
DataWeBot covers all Faire wholesale categories: home décor, candles, jewelry, apparel, food & beverage, beauty, stationery, toys, pet products, garden, and many others — across 100K+ independent brands.
Yes. DataWeBot extracts wholesale prices (what retailers pay), suggested retail prices, and calculates the implied markup — critical data for wholesale market benchmarking and pricing strategy.
DataWeBot extracts Net 60 eligibility flags, free returns program participation, and Faire Direct commission rate data as structured fields for each brand and product.
Yes. By tracking new brand listing dates, retailer count growth, review velocity, and category ranking changes, DataWeBot generates emerging brand signals for trend-spotting and competitive intelligence.
Standard schedules update weekly. Category-specific monitoring for trend analysis can be configured for 2–3 times per week refresh.
Yes. DataWeBot extracts first-order MOQ, reorder minimum, and case pack data for each product listing — enabling wholesale purchasing analysis and supplier onboarding decisions.
Yes. DataWeBot can combine Faire domestic brand data with Asian B2B platform data for cross-sourcing price comparison and margin analysis.
Data is delivered via REST API, webhook, or file downloads (JSON, CSV, Parquet). Custom schemas for wholesale buying platforms or retail analytics tools are available.
DataWeBot extracts only publicly available brand and product listing data from Faire's public-facing catalog. DataWeBot does not access retailer data, order history, or private brand metrics.
Yes. DataWeBot can configure category-specific new product alerts, notifying you when brands matching your criteria launch new wholesale products on Faire.