Wholesale Trends Product Finder — Faire.com Winner Scanner

Find wholesale products that are already selling on Faire.com — before you commit to a minimum order. Scans any category or product list, scores every product on a Winner Score /100 built from real buyer signals, and returns only the ones worth stocking.

What it does

Give it a Faire category URL (or a list of specific product URLs) — it returns a clean dataset of scored products:

• ✅ Winner Score /100 — one number combining 4 independent demand signals
• ✅ Review velocity — is this product getting attention right now?
• ✅ Restock detection — buyers reordering is the strongest signal of real demand
• ✅ Barrier-to-entry scoring — favors products with an accessible minimum order
• ✅ Satisfaction-weighted — filters out high-volume but poorly-rated products
• ✅ Bilingual review parsing — correctly handles English and French dates/ratings
• ✅ Direct product URL mode — skip category scanning, test specific products instantly
• ✅ Similar-product discovery — auto-queues related products found during scanning

Two phases — one Actor

Phase	When	What it does
Directory	You give a category/listing URL	Paginates through category pages, collects candidate product URLs
Detail	Always runs after Directory (or directly if directProductUrls is set)	Opens each product page, extracts direct reviews, computes the Winner Score

Set directProductUrls to skip the Directory phase entirely and score specific products only.

Usage examples

Example 1 — Scan a category for winners

{
  "startUrls": [{ "url": "https://www.faire.com/category/kids-baby" }],
  "maxProductsToScan": 300,
  "minProductReviewsThreshold": 5,
  "winnerScoreThreshold": 70,
  "velocityWindowDays": 60,
  "useApifyProxy": true,
  "maxConcurrency": 3
}

What happens: the Actor pages through the Kids & Baby category, collects up to 300 product URLs, visits each product page, scores it, and saves every product scoring 70+ to the dataset.

Expected output: on a category of ~270–300 products, typically 4–15 winners depending on category maturity.

---

Example 2 — Test specific products directly

{
  "directProductUrls": [
    "https://www.faire.com/product/p_xxxxxxx",
    "https://www.faire.com/product/p_yyyyyyy"
  ],
  "minProductReviewsThreshold": 1,
  "winnerScoreThreshold": 50,
  "useApifyProxy": false
}

What happens: the Directory phase is skipped entirely — only the listed products are opened, scored, and saved. Useful for re-checking a shortlist or testing changes to scoring parameters without a full category run.

---

Example 3 — Wide net, low threshold (exploration mode)

{
  "startUrls": [{ "url": "https://www.faire.com/category/jewelry" }],
  "maxProductsToScan": 500,
  "minProductReviewsThreshold": 3,
  "winnerScoreThreshold": 50,
  "velocityWindowDays": 365,
  "useApifyProxy": true,
  "maxConcurrency": 3
}

What happens: a longer velocityWindowDays and a lower winnerScoreThreshold surface more borderline candidates — useful when exploring a new category for the first time rather than hunting only for top performers.

---

Example 4 — Fast, targeted run with custom restock keywords

{
  "startUrls": [{ "url": "https://www.faire.com/category/home-decor" }],
  "maxProductsToScan": 150,
  "winnerScoreThreshold": 75,
  "restockKeywords": ["reorder", "restock", "sold out", "flew off the shelf", "selling like crazy"],
  "maxConcurrency": 3,
  "maxRequestsPerMinute": 60
}

What happens: a smaller scan with a stricter threshold and an extended restock keyword list to catch informal demand language that the default list misses.

Configuration

Core settings

Parameter	Type	Default	Description
startUrls	Array	Home Decor category	Faire category/listing URLs to scan. Ignored when Direct product URLs is set
directProductUrls	Array	2 sample product URLs	Bypass the Directory phase — score specific product URLs directly. Clear this array to run a full category scan via startUrls instead
maxProductsToScan	Integer	5	Max product URLs collected during the Directory phase. Also caps total DETAIL-phase requests (including similar-product discovery) at 3x this value as a safety limit — raise this for a full production scan (e.g. 300–500)
useApifyProxy	Boolean	true	Use Apify Proxy (recommended to avoid rate limiting)
proxyGroups	Array	["RESIDENTIAL"]	Proxy group used. Residential is set by default for reliability (near-zero blocking observed in testing); switch to [] for the cheaper datacenter proxy on large production scans if you're not hitting blocks
maxConcurrency	Integer	1	Concurrent browser sessions. Raise to 3–5 for faster large scans once you've confirmed your proxy setup holds up
maxRequestsPerMinute	Integer	60	Request rate limit

The out-of-the-box defaults are intentionally small (2 sample products, maxProductsToScan: 5) so a first run finishes in about a minute and reliably returns results. For a real category scan, clear directProductUrls, set startUrls to your target category, and raise maxProductsToScan to 300–500.

Scoring settings

Parameter	Type	Default	Description
minProductReviewsThreshold	Integer	3	Minimum direct reviews required before a product is scored
winnerScoreThreshold	Integer	50	Minimum Winner Score for a product to be saved to the dataset
velocityWindowDays	Integer	365	Review recency window used for the Velocity Score
restockKeywords	Array	see below	Customizable list of restock/reorder signal phrases

Default restock keywords: reorder, restock, sold out, ordered again, back in stock, sold on the first, sell well, selling fast

Output

{
  "productUrl": "https://www.faire.com/product/p_xxxxxxx",
  "productName": "Example Product Name",
  "brandName": "Example Brand",
  "msrp": 24.00,
  "minimumOrder": 150,
  "productReviewsCount": 42,
  "winnerScore": 78,
  "velocityScore": 32,
  "restockIndex": 24,
  "barrierToEntry": 10,
  "satisfactionRatio": 12
}

Winner Score breakdown (/100)

Signal	Max points	What it measures
Velocity Score	40	Share of reviews posted within the recent window — is demand fresh?
Restock Index	30	Share of reviews mentioning restock/reorder language, plus a bonus for multiple distinct keywords
Barrier to Entry	15	Rewards lower minimum order values (≤$100 scores highest, ≤$300 mid, above scores lowest)
Satisfaction Ratio	15	Weighted balance of 5★ reviews vs. 1–2★ reviews

Only direct product reviews are used for scoring — reviews for similar products from the same brand are detected and excluded from the score (though their URLs are still queued for scanning).

How it works

Directory phase — pages through Faire category listings, extracts product IDs from result links, and collects canonical product URLs up to maxProductsToScan.

Detail phase — for each product:

1. Opens the product page and scrolls to the "Ratings and reviews" section
2. Separates direct product reviews from "reviews for similar products from this brand" — only direct reviews count toward the score
3. Paginates through review pages to collect enough signal
4. Computes the Winner Score from recency, restock language, price, and rating distribution
5. Saves the product if it clears winnerScoreThreshold, and queues any similar products discovered along the way

Bilingual handling — Faire serves review dates and star ratings in the visitor's browser locale regardless of request headers. The Actor parses both English and French date formats and star-rating labels so scoring stays accurate no matter which locale a run happens to hit.

Feature comparison

Feature	Wholesale Trends Product Finder	Manual browsing
Combines review velocity + restock + price + rating into one score	✅	❌
Detects restock/reorder language automatically	✅	⚠️ Manual reading only
Separates direct reviews from same-brand "similar product" reviews	✅	❌ Easy to miss
Bilingual (EN/FR) review parsing	✅	⚠️ Depends on browser locale
Auto-discovers and queues similar products	✅	❌
Test specific products without a full category scan	✅	N/A
Customizable restock keyword list	✅	N/A

Pricing

Pay per event, plus platform usage — you pay for what the Actor delivers, and for the underlying Apify compute/proxy it consumes to get there.

Event	Price	What it means
Product Scanned	$0.005 / product ($5.00 / 1,000)	Charged for every product opened and analyzed in the Detail phase — win or not
Winner Found	$0.15 / product ($150.00 / 1,000)	Charged only for products that clear the Winner Score threshold and get saved to the dataset
Actor start	$0.00005	Charged once per run
Platform usage	Variable, cheaper on higher Apify plans	Apify compute + proxy costs, billed directly to your account on top of the events above

Unlike scrapers that charge only per raw result, this pricing has two tiers on purpose: Product Scanned covers the cost of the review analysis performed on every product (whether or not it becomes a winner), and Winner Found reflects the extra value of a product that actually clears the bar. Platform usage is billed separately so the price you see per event stays constant regardless of proxy choice — running with the default RESIDENTIAL proxy costs more in platform usage than the datacenter proxy, but is far more reliable against blocking.

Real run costs (reference)

Category tested	Products scanned	Winners found	Duration	Platform cost*
Home Decor	280	16	16 min	$0.91
Kids & Baby	270	15	16 min	$0.91

* These reference figures were measured on the datacenter proxy, before platform usage was split out as a separate billed line — treat them as a rough guide to relative cost between categories, not your exact bill. Your own run's platform usage cost depends on your Apify plan and the proxy group selected.

Residential proxies (proxyGroups: ['RESIDENTIAL'], the default) eliminate blocking almost entirely but cost noticeably more in platform usage than the default datacenter proxy — switch to proxyGroups: [] for large production scans once you've confirmed the datacenter proxy isn't getting blocked on your target category.

Tips

More winners:

• Lower winnerScoreThreshold to 50–60 for exploration mode in a new category
• Increase velocityWindowDays to 180–365 for slower-moving categories like Home Decor
• Extend restockKeywords with informal phrases ("flew off the shelf," "selling like crazy") to catch signals the default list misses

Faster / cheaper runs:

• Use directProductUrls to re-check a shortlist instead of rescanning a whole category
• Switch proxyGroups from ["RESIDENTIAL"] to [] (datacenter proxy) once you've confirmed your target category isn't triggering blocks — it's noticeably cheaper in platform usage
• Raise maxConcurrency to 3–5 for large scans once your proxy setup is confirmed stable

Avoid rate limiting:

• The default proxyGroups: ["RESIDENTIAL"] and maxConcurrency: 1 are tuned for reliability out of the box — near-zero blocking observed in testing, at the cost of a slower, more expensive run
• If you switch to the datacenter proxy (proxyGroups: []) for cost reasons, keep maxConcurrency at 3 and maxRequestsPerMinute at 60 as a starting point, and watch for 429/403 warnings in the log before pushing higher

Use cases

• 🎯 Wholesale buyers sourcing new products without guessing which ones will actually sell
• 📦 Dropshippers validating demand before committing to a minimum order
• 🔍 Brand scouts spotting suppliers gaining traction before they go mainstream
• 📊 Market researchers tracking category-level demand trends on Faire over time

Limitations

• Wholesale pricing is hidden behind a Faire buyer account and is not scraped — only publicly visible MSRP and minimum order values are used
• Very new products with few reviews may be under-scored — raise minProductReviewsThreshold accordingly, or lower it for exploration mode
• Review pagination is currently capped per product; extremely well-reviewed products may not have every review counted toward the score

Legal

This Actor extracts only publicly available information visible on Faire.com without requiring a buyer account. Always comply with Faire's Terms of Service and applicable data protection laws. The user is solely responsible for how extracted data is used.