Gumroad Best Sellers Scraper — Niche Spy, Trends & Price Intel

Find out what actually sells on Gumroad before you create, launch or promote a digital product. This Actor scrapes Gumroad search results, best-seller rankings and trending "hot & new" products — with prices, ratings, sellers, recurring-billing flags and rank — and adds a free niche market-stats row per query (market size, top tags, median price, % recurring).

$1.60 per 1,000 product results + $0.001 per start. MARKET_STATS rows, cross-page duplicates and monitor-mode repeats are never charged.

Who is this for?

• Creators validating a niche before building: how crowded is "notion template"? What's the median price? Do best sellers use recurring billing?
• Affiliate marketers hunting products worth promoting — sort by best sellers or most reviewed, filter by price and rating.
• Trend scouts & newsletter writers watching hot_and_new for rising products (run on a schedule with monitor mode, pay only for new finds).
• AI agents & analysts who need structured Gumroad market data instead of screenshots.

What you get per product

Field	Description
rank	Position in the chosen sort order (1 = top)
searchTotal	Market size — total products matching the query
name, url, productId	Product identity (clean URL, no tracking params)
sellerName, sellerUrl, sellerVerified	Seller info
price, currency, originalPrice, discountPct	Pricing incl. live discounts
isPayWhatYouWant	"$0+" pay-what-you-want flag
isRecurring, recurrence	Subscription products (monthly etc.)
ratingCount, ratingAverage, hasSocialProof	Review signals
nativeType, isSalesLimited, thumbnailUrl, description	Extras

Plus one free MARKET_STATS row per query: marketSize, topTags (with counts — instant keyword ideas), topFiletypes, medianPriceUsd, avgPriceUsd, pctWithRatings, avgRatingOfRated, pctRecurring.

Input

{
  "queries": ["notion template", "lightroom presets"],
  "sort": "best_sellers",
  "maxItemsPerQuery": 45,
  "minPrice": 5,
  "minRating": 4,
  "onlyNew": false
}

• sort: hot_and_new (trending), best_sellers, newest, highest_rated, most_reviewed
• taxonomy: browse a category instead of (or with) keywords — e.g. design, 3d, education
• onlyNew: monitor mode — remembers seen product IDs between runs; repeats are free

Run it on a schedule

The highest-value setup: daily hot_and_new monitor.

1. Set queries to your niches, sort to hot_and_new, onlyNew to true.
2. Create a Schedule in Apify Console (e.g. every morning).
3. Each run emits only products you haven't seen — trending finds land in your dataset for pennies.

AI agents & MCP

This Actor is AI-agent friendly: call it via the Apify MCP server and ask your agent things like "what's the median price and top tags for 'ai prompts' on Gumroad?" The free MARKET_STATS row answers niche questions in one call; the output schema exposes the dataset URL for direct consumption.

Honest data policy

• 100% public data from Gumroad's own search — no login, no private endpoints.
• Fields Gumroad doesn't expose (e.g. exact sales counts) are not faked; rating counts are your social-proof proxy.
• Cross-page duplicates from ranking jitter are deduplicated and never charged.

Related Actors

• Whop New Launches Monitor — the same fresh-product radar for Whop.
• Whop Content Rewards Scraper — clipping campaigns paying per view.
• Ad Budget Signals — check which domains actively run ads.