Faire Scraper — Wholesale Brands, Supplier Leads & Products

Turn Faire — the largest online wholesale marketplace — into a clean, structured feed of brand / supplier leads. For every brand this actor returns the fields that matter for B2B: location (city/state/country), owner first name, years on Faire, Instagram handle, primary category, active product count, order minimums, lead time, brand values (women-owned, eco-friendly, handmade, organic, gives-back, small-batch), full review ratings, and a 0–100 lead score — plus optional wholesale product records (retail price, case-pack size, GTIN, sales-insight badges, images).

No login, no cookies, no browser — fast JSON extraction with high reliability on residential proxies.

Why this Faire scraper?

Most Faire scrapers return a thin product row — a name, a price, an image — and nothing you can act on. This actor is built for lead generation and sourcing: it treats each brand as a wholesale supplier lead and ships the richest record in the category.

Data	Typical scrapers	This actor
Brand name + description	✅	✅
Based-in city / state, ships-from & made-in country	❌	✅
Owner first name + years on Faire	❌	✅
Instagram handle (contact vector)	❌	✅
Order minimums (first order + reorder)	partial	✅
Lead / production time (days)	❌	✅
Brand values (women-owned, eco, handmade, organic, gives-back, small-batch)	❌	✅ filterable
Review rating + count + quality/fulfillment/communication breakdown	❌	✅
Active product count + new-product signal	❌	✅
Lead score (0–100)	❌	✅
Wholesale product detail (retail price, case pack, GTIN, badges)	partial	✅ opt-in
Monitor mode (only new / changed brands)	❌	✅

Use cases

• B2B lead generation — Faire brands are small businesses actively selling wholesale. Filter by category, country, state, or values (e.g. all women-owned home-decor brands in the US) and reach them via their Instagram, name, and location. Score them by leadScore, activeProductsCount, and numReviews.
• Wholesale sourcing & assortment research — build category shortlists with order minimums, lead times, and review quality so buyers can source faster.
• Retail & DTC market intelligence — track which brands are growing (activeProductsCount, hasNewProducts), how they price at retail, and which carry bestseller/"top reordered" signals.
• Competitor & category monitoring — schedule recurring runs and use monitor mode to capture only newly listed brands or brands whose catalog / minimums changed.
• Sales prospecting for suppliers-to-brands — packaging, logistics, marketing, and SaaS vendors can prospect thousands of active wholesale brands with firmographics attached.

How to use

1. Sign up for Apify — the free plan is enough to try this actor.
2. Open the Faire Scraper, enter categories (or search queries, brand values, or URLs), and click Start.
3. Watch brand leads stream into the dataset table.
4. Export as JSON, CSV, Excel, or XML — or pull results programmatically via the Apify API.

Input

{
    "categories": ["home-decor", "jewelry"],
    "brandValues": ["women-owned"],
    "country": "United States",
    "minProducts": 10,
    "maxResults": 200,
    "monitorMode": false
}

• searchQueries — keywords to browse on Faire (e.g. candles, ceramic mugs). Each collects the matching brands.
• categories — Faire category names or slugs (home-decor, jewelry, kitchen-and-dining, beauty-and-wellness, food-and-drink, pets, …), or a full category path pasted from a Faire URL.
• brandValues — keep only brands with these values: women-owned, eco-friendly, hand-made, organic, gives-back, small-batch, not-sold-on-amazon. With a single category + single value it is also used as a Faire facet.
• startUrls — any Faire URLs: brand pages (/brand/…), product pages (/product/…), category or search pages. Auto-detected.
• brandUrls / brandTokens — enrich specific brands directly (full URLs, slugs, or b_… tokens).
• productUrls — scrape specific Faire products (/product/… or p_… tokens) as product records.
• scrapeAllBrands — discover brands at scale from Faire's brand sitemaps, then apply the filters below.
• country / state / minProducts / keyword — client-side filters over discovered brands.
• maxResults (default 100) — cap on brand records; 0 = no limit (explicit opt-in; use with a run timeout).
• monitorMode (default false) — output only brands that are new or whose catalog / minimums changed since the last run. Works alongside Apify Schedules.

Output

One record per brand (type: "brand") — a ready-to-use supplier lead — plus optional product records (type: "product"):

{
    "type": "brand",
    "brandToken": "b_8ed70fdd",
    "slug": "riflepaperco",
    "name": "Rifle Paper Co.",
    "description": "Rifle Paper Co. is a stationery, home, and gifts brand based in Winter Park, Florida…",
    "brandUrl": "https://www.faire.com/brand/riflepaperco",
    "city": "Winter Park",
    "state": "FL",
    "shipsFromCountry": "United States",
    "madeIn": "United States",
    "ownerFirstName": "Anna",
    "creationYear": 2009,
    "yearsOnFaire": 3,
    "instagramHandle": "riflepaperco",
    "instagramUrl": "https://www.instagram.com/riflepaperco",
    "primaryCategory": "Paper & Novelty",
    "activeProductsCount": 1318,
    "hasNewProducts": true,
    "minimumOrderUsd": 500,
    "firstOrderMinimumUsd": 500,
    "reorderMinimumUsd": 150,
    "leadTimeDays": 3,
    "brandValues": ["Women-owned"],
    "womenOwned": true,
    "averageRating": 4.8,
    "numReviews": 166,
    "ratingProductQuality": 4.9,
    "ratingFulfillment": 5.0,
    "ratingCommunication": 4.9,
    "profileImage": "https://cdn.faire.com/fastly/…jpeg",
    "leadScore": 92,
    "scrapedAt": "2026-07-02T04:01:17.033Z"
}

Automate & schedule

Run this actor on autopilot and pull results into your own stack:

• Apify API — start runs, fetch datasets, and manage schedules over REST.
• apify-client for JavaScript and apify-client for Python — official SDKs.
• Schedules — run it daily/weekly with monitor mode to capture only new wholesale brands in a category; perfect for lead pipelines.
• Webhooks — trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });

const run = await client.actor('scrapesage/faire-scraper').call({
    categories: ['home-decor'],
    brandValues: ['women-owned'],
    country: 'United States',
    maxResults: 200,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Got ${items.length} Faire brand leads`);

Integrate with any app

Connect the dataset to 5,000+ apps — no code required:

• Make — multi-step automation scenarios.
• Zapier — push new brand leads straight into your CRM.
• Slack — get notified when a monitored category adds a new brand.
• Google Drive / Sheets — auto-export every run to a spreadsheet.
• Airbyte — pipe results into your data warehouse.
• GitHub — trigger runs from commits or releases.

Use with AI assistants (MCP)

The output is clean, LLM-ready JSON. You can call this actor from Claude, ChatGPT, or any agent framework through the Apify MCP server — ask your assistant to "find women-owned home-decor wholesale brands in the US with 4.5★+ reviews and export their leads" and let it run this scraper for you.

Agent-ready: autonomous payments (x402 & Skyfire)

This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:

• x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
• Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.

Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.

More scrapers from scrapesage

Build a complete wholesale sourcing & B2B lead-gen stack:

• Alibaba.com Scraper — global wholesale products and supplier leads.
• Made-in-China Scraper — manufacturers, products, and B2B supplier leads.
• IndiaMART Scraper — India's #1 B2B marketplace: suppliers, products, and phone leads.
• Kompass Scraper — global B2B company and supplier directory.
• ImportYeti Scraper — US import records, suppliers, and B2B leads.
• Shopify Store Scraper — products, variants, prices, and leads from any Shopify DTC brand.
• LinkedIn Company Scraper — firmographics and B2B leads.
• Website Contact Scraper — emails, phones, and socials from any website or domain list.

Tips

• Filter smart: combine categories with brandValues, country, state, and minProducts to build a tightly targeted supplier list (e.g. US women-owned food-and-drink brands with 10+ products).
• Scale up: turn on scrapeAllBrands with a high maxResults and filters to harvest a large, filtered brand list from Faire's sitemaps.
• Recurring monitoring: combine Schedules with monitorMode to capture only brands added or changed since the last run.
• Proxies: keep the default Residential (US) proxy; Faire occasionally Cloudflare-challenges datacenter IPs.

FAQ

How do I get wholesale brand leads for a specific category? Put the Faire category name/slug in categories (e.g. home-decor, jewelry) and optionally add brandValues, country, or state filters. Each brand comes out as a complete supplier lead.

Does it need the Faire API or a login? No. This actor reads Faire's public brand and product data — no API key, no account, no browser.

Can I export to Google Sheets, CSV, or Excel? Yes — one click in the dataset view, or automatically on every run via the Google Drive integration.

How do I get only new brands over time? Turn on monitorMode and create a Schedule; the actor stores what it has seen and outputs only new or changed brands.

Why is a brand's website or email null? Faire deliberately hides brands' external websites and direct contact to keep transactions on-platform. The reliable contact vector is the Instagram handle (returned for essentially every brand) plus the brand name, owner first name, and city/state.

Why is the wholesale price not shown? Faire only reveals wholesale (trade) pricing to logged-in approved retailers. Product records include the retail (MSRP) price, case-pack size, and GTIN, which are public.

Is scraping Faire legal? This actor collects publicly available data only. You are responsible for using the data in compliance with applicable laws (GDPR/CCPA for personal data) and Faire's terms.

Need help?

Open an issue on the actor's Issues tab, or visit the Apify help center. Feature requests are welcome — this actor is actively maintained.