E-COMMERCE
Faire data scraping service.
Complete wholesale brand catalogs, product data, pricing tiers, and verified contact information from Faire.com. Refreshed weekly.
The problem.
WHY THIS IS HARDER THAN IT LOOKS
Market research firms, brand aggregators, and wholesale buyers all need structured data from Faire.com, and Faire does not offer a public API. The platform is the largest US wholesale marketplace for independent brands, with over 100,000 brands across dozens of product categories.
The technical barrier is more specific than just 'the site uses JavaScript.' Faire's catalog is built on a React frontend that renders brand listings through client-side API calls, with session tokens and behavioral fingerprinting layered on top. Standard scraping tools that work fine on static HTML or even basic JavaScript sites hit a wall almost immediately on Faire. The pipeline needs to handle dynamic token generation, manage session state across hundreds of concurrent requests, and adapt when Faire updates its frontend, which it does regularly. The infrastructure for this is meaningfully more complex than most scrapers, and it is what I maintain on my side so you do not have to. Faire has updated its detection at least twice in the past year; both times I had the pipeline back to full coverage within 48 hours without any disruption to the weekly delivery for the running client. This kind of maintenance is built into the service and is not billed separately.
The data challenge is also deeper than it first appears: brand profiles, product counts, category classifications, pricing tiers, minimum order values, lead times, and contact information all live across different page sections. Getting all of these fields reliably across 100,000+ brands requires a purpose-built pipeline, not a general-purpose tool.
For a market research firm I work with, the pipeline extracts the complete Faire brand catalog weekly and delivers it with change detection: new brands added, brands removed, category shifts, and pricing tier changes. The dataset covers 100,000+ brands across 47 product categories with a 92% email verification rate on extracted contacts. The client uses this to track D2C brands expanding into wholesale channels.
This service builds that same pipeline for your research or prospecting use case.
Is this right for you?
GOOD FIT IF ANY OF THESE SOUND LIKE YOU
You are a market research firm tracking the D2C-to-wholesale pipeline and need structured brand data at scale
You are a brand aggregator or wholesale buyer prospecting for new brands on Faire
You need verified contact information for wholesale brands for outreach campaigns
You want weekly change detection to spot new brands, category shifts, and pricing changes
What you receive.
EXACT FIELDS, DELIVERED IN YOUR FORMAT
Sample record.
{
"brand_name":"Rifle Paper Co.",
"brand_url":"https://www.faire.com/brand/b_abc123",
"category":"Stationery & Paper",
"subcategories": ["Greeting Cards","Notebooks","Gift Wrap"],
"product_count": 342,
"minimum_order":"$150",
"lead_time":"3-5 business days",
"location":"Winter Park, FL",
"contact_email":"wholesale@riflepaperco.com",
"year_joined":"2019",
"bestseller_flag": true,
"extracted_at":"2026-04-14T08:00:00Z"
}Straightforward pricing.
SCALE DETERMINES PRICE · NO HIDDEN FEES
Category snapshot
One-time extraction of brands in specific categories. Delivered in 3 to 5 days.
- Up to 10,000 brands
- Full field set per brand
- Contact email included
- CSV, JSON, or Google Sheet
Full catalog recurring
Complete Faire catalog with weekly change detection.
- 100,000+ brands
- Weekly refresh with diffs
- New brand alerts
- PostgreSQL delivery
Custom research
Specific research questions across the Faire ecosystem.
- Product-level extraction
- Pricing trend analysis
- Custom filters
- Scoping call required
Frequently asked questions.
EVERYTHING YOU NEED TO KNOW
The full Faire catalog currently has over 100,000 brands. For one running client I extract the complete catalog weekly. For smaller engagements a category-specific snapshot covers a subset. The number of brands in a single category ranges from a few hundred to over 10,000.
Yes. Product-level extraction covers individual product names, images, wholesale prices, retail prices, variants, and inventory status. This is priced at the Custom tier because the data volume per brand is significantly higher than brand-level extraction.
The extraction pipeline verifies emails against the brand's domain. For the running engagement the verification rate is 92%. Unverified emails are flagged rather than excluded, so you can decide whether to use them for outreach.
Faire uses JavaScript rendering and behavioral detection that blocks basic scraping tools. The pipeline I built for this source handles these access patterns as part of the managed service. When Faire updates its detection, I update the pipeline. You do not manage the infrastructure.
Yes. The weekly change detection flags new brands, removed brands, and category changes. For clients focused on brand discovery, new-brand alerts can be delivered via Slack or email the day they appear.
A category-specific snapshot starts at $199 for up to 10,000 brands. Full catalog with weekly refresh starts at $499 per month. Custom research scopes per engagement.
A category snapshot delivers in 3 to 5 days. Full catalog setup takes about 2 weeks for the initial extraction, schema mapping, and delivery configuration. After setup the weekly pipeline runs automatically.
Yes. The weekly change detection captures new product launches (product count increases), category expansion (new subcategories added to a brand's profile), and shifts in minimum order values or lead times. Over several months this builds a growth trajectory per brand, which is useful for analysts tracking which D2C brands are actively scaling their wholesale operations and adding SKUs to their Faire catalog.
For outreach campaigns targeting wholesale brand contacts, weekly freshness is generally sufficient. Brand contact emails and profile details on Faire do not change daily. If you are running a time-sensitive outreach campaign around a specific category or event, I can run an on-demand extraction outside the weekly cycle at no extra charge for active monitoring clients. For new-brand outreach specifically, the weekly new-brand detection means you can reach out to brands within 7 days of them joining Faire, which is often before they have received any wholesale buyer inquiries.