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Faire & Ankorstore Wholesale Supplier Scraper

LEAD GENERATIONECOMMERCE
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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. URL discovery. The scraper fetches brand sitemaps — Faire's require residential proxy; Ankorstore's are on a public GCS bucket. Brand URLs are pulled from the sitemaps, not from search results.
  3. Brand page extraction. For Faire, brand data is embedded in the Next.js page payload. For Ankorstore, data is parsed from server-rendered HTML. Both paths return the same output schema.
  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)
proxyConfiguration object RESIDENTIAL / US Apify proxy config. Residential proxy is required for Faire

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, configure a residential proxy (required for Faire), and set 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. Residential proxy bandwidth adds a small additional cost via Apify proxy.

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.

Does this scraper need residential proxies?

For Faire, yes. Faire uses Cloudflare protection on all pages including sitemaps, and datacenter IPs are blocked. For Ankorstore, residential proxy is recommended to avoid rate limiting at scale, but the requirement is less strict.

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.
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