E-COMMERCE
Faire.com Brand Database
Complete wholesale brand catalog extraction with product counts, categories, pricing tiers, and verified contact information. Data refreshed weekly for a market research firm tracking D2C brands.
The challenge.
A market research firm needed a comprehensive database of wholesale brands on Faire to track D2C brand expansion into wholesale channels. Faire has no public API, aggressive bot detection, and dynamically rendered pages that break traditional scraping approaches.
The approach.
Headless Browser Automation
Used Playwright with stealth plugins to navigate Faire's React-rendered catalog pages. Randomized scroll patterns, mouse movements, and timing intervals to mimic organic browsing behavior.
Category-Based Crawl Strategy
Built a hierarchical crawler that traverses Faire's category tree systematically, ensuring complete coverage across all product verticals — from home goods to beauty to food & drink.
Contact Enrichment & Verification
Cross-referenced extracted brand names with external sources to append verified email addresses, phone numbers, and social profiles. Ran email validation to flag bounced addresses before delivery.
PostgreSQL Storage & Weekly Refresh
Designed a normalized database schema tracking brand metadata, product counts, pricing tiers, and historical changes. Weekly cron job diffs new data against existing records and flags additions, removals, and pricing shifts.
Sample output.
{
"brand_name": "Volcanica Coffee",
"category": "Food & Drink",
"product_count": 34,
"wholesale_min_order": "$150",
"email": "wholesale@volcanicacoffee.com",
"headquarters": "Atlanta, GA"
}The results.
Brands cataloged
Email verification rate
Product categories covered
Historical pricing data
Tech stack.
Ready to get your data?
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