Faire & Ankorstore Wholesale Supplier Scraper

Scrape brand and supplier profiles from Faire (US/UK) and Ankorstore (EU) — two of the largest wholesale B2B marketplaces. Returns brand name, category, country, minimum order, lead time, certifications, sustainability claims, Instagram following, and contact details for B2B lead generation and market research.

Faire & Ankorstore Scraper Features

• Extracts 25+ fields per supplier — name, description, categories, origin country, city, founding year, owner first name, product count, minimum order amount, lead time, certifications, sustainability labels, and Instagram handle with follower count
• Covers two platforms in one run — Faire (100,000+ brands, primarily US/UK) and Ankorstore (30,000+ brands, primarily EU). Set platform: both and it splits the budget across both
• Sitemap-driven discovery — crawls brand sitemaps directly instead of paginating search results, so you get a representative sample from the full catalog, not just the promoted listings
• Filters Faire certifications and badges — captures women_owned, eco_friendly, organic, and platform-issued badge types as structured fields for filtering
• Captures B2B commercial terms — minimum order amount in original currency (USD or EUR), lead time lower and upper bounds in days
• Structured, flat output — every record is a flat JSON object with consistent field names. No nested objects to unpack.

Who Uses Wholesale Marketplace Data?

• Brand and wholesale buyers — qualify new suppliers by origin country, certifications, and minimum order before reaching out
• Market researchers — track the distribution of EU vs. US brands by category, price point, and sustainability claims
• CRM and outreach teams — build targeted lists of women-owned or organic-certified brands to feed into outreach campaigns
• Retail and private label scouts — identify emerging brands by Instagram following before they're widely known
• B2B SaaS companies — enrich supplier databases with verified commercial terms and contact signals

How It Works

1. Configure and run. Set platform to faire, ankorstore, or both. Optionally specify category slugs (Faire: food-beverage, beauty-wellness, apparel; Ankorstore: leave empty for sitemap-driven crawl). Set maxItems for total brands to collect.
2. Brand discovery. The scraper enumerates every published brand on both platforms, rather than skimming search results — so coverage does not depend on what search chooses to show.
3. Brand page extraction. Both platforms return the same output schema, so a mixed run is directly comparable.
4. Structured output. Each brand is saved as a flat record with 25+ fields. Run with maxItems: 5 for a quick test; scale up once you've confirmed the output looks right.

Input Parameters

{
  "platform": "both",
  "maxItems": 10,
  "categories": ["food-beverage"],
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Field	Type	Default	Description
platform	string	both	Which platform to scrape: faire, ankorstore, or both
maxItems	integer	10	Maximum total brand profiles to collect across all platforms
categories	array	["food-beverage"]	Category slugs to filter. Leave empty for sitemap-driven crawl (all categories)

Faire & Ankorstore Output Fields

{
  "platform": "faire",
  "brand_name": "KITSCH",
  "categories": "hair-accessories",
  "country_of_origin": "USA",
  "city": "Los Angeles",
  "founded_year": 2010,
  "owner_first_name": "Cassandra",
  "product_count": 150,
  "min_order_raw": 150,
  "min_order_currency": "USD",
  "min_order_usd": 150,
  "lead_time_days": 3,
  "lead_time_days_upper": 7,
  "instagram_handle": "mykitsch",
  "instagram_followers": 293986,
  "certifications": "women-owned",
  "sustainability_claims": "eco-friendly",
  "women_owned": "true",
  "eco_friendly": "false",
  "organic": "false",
  "faire_score": 4.8,
  "review_count": 120,
  "made_in_country": "China",
  "ships_from_country": "US",
  "profile_url": "https://www.faire.com/brand/b_dljmfs9o",
  "scraped_at": "2026-05-06T12:20:32.827Z"
}

Field	Type	Description
platform	string	Source platform: faire or ankorstore
profile_url	string	URL of the brand profile page
brand_name	string	Brand/supplier name
description	string	Brand story / about text
categories	string	Comma-separated list of product categories
country_of_origin	string	Country where brand is based
city	string	City where brand is located
founded_year	number	Year the brand was founded
owner_first_name	string	Brand owner / founder first name
product_count	number	Number of active products listed
min_order_usd	number	Minimum order amount in USD (Faire only)
min_order_currency	string	Currency of the minimum order amount (USD or EUR)
min_order_raw	number	Minimum order amount in original currency
lead_time_days	number	Lead time lower bound in days
lead_time_days_upper	number	Lead time upper bound in days
certifications	string	Comma-separated certifications (e.g. organic, B Corp, Made in France)
sustainability_claims	string	Comma-separated sustainability attributes (e.g. eco-friendly, handmade)
stockist_locations	string	Comma-separated retail stockists (Ankorstore only)
instagram_handle	string	Instagram handle (without @)
instagram_followers	number	Instagram follower count
website	string	Brand external website URL
faire_score	number	Faire average review rating (Faire only)
review_count	number	Number of reviews on the platform
women_owned	string	true/false/null — whether the brand is women-owned
eco_friendly	string	true/false/null — whether the brand is eco-friendly
organic	string	true/false/null — whether the brand is organic
made_in_country	string	Country where products are manufactured
ships_from_country	string	Country the brand ships from
scraped_at	string	ISO 8601 timestamp when the record was collected

🔍 FAQ

How do I scrape Faire and Ankorstore wholesale suppliers?

The Faire & Ankorstore Wholesale Supplier Scraper handles both platforms in one run. Set platform: both and maxItems to your target count. It splits the budget 50/50 between platforms when running both.

How much does the Faire & Ankorstore Wholesale Supplier Scraper cost?

The scraper runs at $0.002 per brand record. A run collecting 1,000 records costs approximately $2.00, plus the $0.10 actor start fee and Apify's own platform usage.

What data can I get from Faire and Ankorstore?

The Faire & Ankorstore Wholesale Supplier Scraper returns 25+ fields per brand: name, description, product categories, country and city, founding year, owner first name, minimum order amount, lead time, certifications, sustainability claims, Instagram handle and follower count, and platform-specific fields like Faire review score and Ankorstore distribution partners.

Can I filter by category?

Yes. Pass category slugs in the categories array. For Faire, common slugs include food-beverage, beauty-wellness, apparel, home-decor, and jewelry. For Ankorstore, leave categories empty — the sitemap crawl covers all categories and the category is extracted from each brand page.

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Need More Features?

Need custom fields, additional platforms, or scheduled runs? File an issue or get in touch.

Why Use Faire & Ankorstore Wholesale Supplier Scraper?

• Two platforms, one schema — Faire and Ankorstore brand data normalized into a single flat output format, so you don't maintain two separate pipelines.
• Commercial terms included — Returns minimum order amounts, lead time ranges, and certification badges as structured fields, not buried in a description field that needs parsing.
• Scale — Faire has 100,000+ brands, Ankorstore has 30,000+. The sitemap-driven approach means you can collect thousands of profiles without getting stuck on paginated search results that stop at page 20.