Whop Products Scraper (whop.com) - Prices & Reviews

Scrape digital products from the Whop marketplace (whop.com): title, headline, description, category, seller, price and billing period, every plan, rating, review count, star breakdown, GMV, latest reviews, FAQ, social links and creation dates. Export Whop product data as JSON, CSV or Excel, or call the actor as a Whop API. Type a keyword or paste a Whop search, store or product URL, press Start, and get clean data. Switch to business mode to list Whop sellers with member counts, views and owners instead.

Target website: whop.com

✨ Features of this Whop products scraper

• Whop product extraction — title, headline, description, category, seller, price, billing period, trial days, rating, review count, Whop ranking, active users and dates.
• Full product details — every pricing plan, owner, FAQ, social links, included features (Discord, courses, forums and other apps), affiliate commission and the 10 latest reviews.
• Whop business search — switch Search for to Businesses to get sellers with member count, total views, rating, owner, logo and banner.
• Pagination support — keeps paging through Whop search results until Max items is reached.
• Keyword and URL input — search by keyword, paste a Whop search URL, or pass single store or product URLs.
• Incremental runs, no repeat charges — with a cache project name, products you already scraped are skipped on every later run, so scheduled runs return only new products.
• Sales and review signals — GMV in USD, app sessions and a 1-5 star review breakdown for each product.
• Proxy support — optional Apify Proxy, off by default.
• No browser required — plain HTTP requests keep runs fast and cheap.

🚀 How to scrape Whop products in 5 steps

1. Sign up for a free Apify account — includes $5 monthly credit.
2. Open the actor page and click Try for free.
3. Fill in the Input fields (a search query, search URL or product URL is required).
4. Click Start and wait for the run to complete.
5. Download results from the Output tab in JSON, CSV, or Excel format.

You can also run this actor via the Apify API or integrate it directly into your workflows using Zapier, Make, or n8n.

💰 Whop scraper pricing

This actor uses pay-per-result billing: you pay for each product or business saved to the dataset.

• New Apify accounts include $5 of free monthly credit.
• The actor uses plain HTTP requests, so it costs significantly less to run than browser-based scrapers.
• The proxy is disabled by default; leaving it off keeps runs cheapest.
• Items skipped by the cache are not charged, so repeated and scheduled runs cost only for genuinely new products.

🔧 Whop scraper input configuration

Field	Type	Required	Default	Description
Search, store or product URLs (startUrls)	array	—	—	Whop search URLs, store URLs or product URLs.
Max items per search (maxItems)	integer	—	5	Maximum unique items saved for each search query or search URL.
Scrape product details (scrapeDetails)	boolean	—	true	Adds every plan, owner, FAQ, social links, features, affiliate rate and latest reviews. Turn off for faster runs. Product URLs always include details.
Cache project name (cacheProjectName)	string	—	—	Use the same name on each run to get only new items. Cached items are skipped, not charged and not counted towards Max items. Records get changeType: new.
Search queries (searchQueries)	array	—	—	Keywords to search the Whop marketplace for. Each query is searched separately.
Search for (searchType)	string	—	products	products (one record per product with prices and plans) or businesses (one record per seller). Applies to searches.
Proxy configuration (proxyConfiguration)	object	—	no proxy	Whop works without a proxy. Enable Apify Proxy only if you get blocked.

Supported URL types:

• Search: https://whop.com/discover/search/?q=trading
• Store: https://whop.com/heatseeker/
• Product: https://whop.com/discover/merov/merovclub-adhesion/ or https://whop.com/merov/merovclub-adhesion/

📦 Whop products scraper output data

Each product is saved as one dataset item with the fields id, url, title, headline, description, category, companyId, companyName, companyRoute, companyUrl, companyLogo, companyMemberCount, businessType, industryType, reviewsAverage, reviewsCount, verified, activeUsersCount, whopRanking, gmvUsd, appSessionsCount, reviewStarCounts, planId, planName, planType, priceText, price, initialPrice, renewalPrice, currency, billingPeriod, trialDays, free, releaseMethod, plansCount, plans, cta, ctaUrl, affiliatePercentage, ownerId, ownerUsername, ownerName, ownerBio, features, socialLinks, faq, media, latestReviews, createdAt, firstApprovedAt, updatedAt, scrapedAt and, when caching is on, changeType. Business mode returns id, url, title, route, description, verified, memberCount, reviewsAverage, reviewsCount, totalViews, isLive, logo, bannerImage, ownerId, ownerUsername, ownerName, ownerBio, createdAt and scrapedAt. The dataset has 1 view, Overview, a table of the product, seller, category, price, rating and URL.

Output at a glance:

Product	Seller	Category	Price	Rating	Reviews
Crystal Academy Membership	Crystal Academy	Trading	$65 / month	4.82	3,549
Pro	Skylit	Trading	$699 / month	4.87	571
Elite Options Pro	Elite Options Trader	Trading	$189 / month	4.87	1,449
Dr. Profit Premium	Dr. Profit Premium	Trading	$149 / month	4.83	1,580
Wealth Group Credit Card Pay	Wealth Group	Trading	$250 / month	4.89	1,989

Sample output (raw JSON):

{
    "id": "prod_lKFZeyJbhvigU",
    "url": "https://whop.com/discover/crystal-academy/crystal-academy/",
    "title": "Crystal Academy Membership",
    "headline": "Making trading crystal clear!",
    "description": "Daily live trading, webinars, exclusive Q&As, and a supportive trading community. Perfect for all levels!",
    "category": "Trading",
    "companyId": "biz_G9MiyhDVcIBWMK",
    "companyName": "Crystal Academy",
    "companyRoute": "crystal-academy",
    "companyUrl": "https://whop.com/crystal-academy/",
    "companyLogo": "https://assets-2-prod.whop.com/public/uploads/2024-03-27/user_1079589_56bbdde8-114d-4cd5-8b71-83a2c2b11b7b.png",
    "companyMemberCount": 0,
    "businessType": "education",
    "industryType": "options_trading",
    "reviewsAverage": 4.82,
    "reviewsCount": 3549,
    "verified": true,
    "activeUsersCount": 0,
    "reviewStarCounts": { "star5": 2144, "star4": 268, "star3": 5, "star2": 8, "star1": 22 },
    "whopRanking": 7,
    "gmvUsd": 0,
    "appSessionsCount": 0,
    "planId": "plan_TERwo3R6R2dSj",
    "planName": null,
    "planType": "renewal",
    "priceText": "$65.00 / month",
    "price": 65,
    "initialPrice": 0,
    "renewalPrice": 65,
    "currency": "USD",
    "billingPeriod": "month",
    "trialDays": null,
    "free": false,
    "releaseMethod": "buy_now",
    "plansCount": 1,
    "plans": [
        {
            "planId": "plan_TERwo3R6R2dSj",
            "planName": null,
            "planType": "renewal",
            "priceText": "$65.00 / month",
            "price": 65,
            "initialPrice": 0,
            "renewalPrice": 65,
            "currency": "USD",
            "billingPeriod": "month",
            "trialDays": null,
            "free": false,
            "releaseMethod": "buy_now"
        }
    ],
    "cta": "join",
    "ctaUrl": null,
    "affiliatePercentage": 30,
    "ownerId": "user_qVL7oBK9JDPOg",
    "ownerUsername": "sierraaaliyah",
    "ownerName": "Sierra Smith",
    "ownerBio": null,
    "features": ["Discord: Claim Diamond Membership", "Forums: Announcements"],
    "socialLinks": [{ "website": "instagram", "url": "crystalacademytrades" }],
    "faq": [
        {
            "question": "Do you teach beginners?",
            "answer": "Absolutely! Crystal Academy is beginner-friendly, and many of our members join with little to no trading experience."
        }
    ],
    "media": [
        "https://assets-2-prod.whop.com/public/uploads/2024-10-16/user_6684692_9cf9d6a1-9650-430f-b790-a7e94cdc1478.mp4"
    ],
    "latestReviews": [
        {
            "id": "rev_j2ADmRSXMPsF7X",
            "stars": 5,
            "title": null,
            "text": "Love love love",
            "author": "Timaayaaa",
            "paidForProduct": true,
            "createdAt": "2026-10-13T12:19:27.000Z"
        }
    ],
    "createdAt": "2023-04-23T17:14:20.000Z",
    "firstApprovedAt": "2023-12-29T07:49:08.000Z",
    "updatedAt": "2026-10-14T18:57:39.000Z",
    "scrapedAt": "2026-10-14T19:14:51.156Z"
}

🔁 Scrape only new Whop products with the cache

Set the same Cache project name (cacheProjectName) on every scheduled run and the actor remembers which Whop products and businesses it has already saved under that name.

• Old data is skipped — a product saved in an earlier run is not scraped, saved or charged again.
• Max items counts new items only — skipped products do not use up Max items per search, so each run reaches further into the results instead of re-reading the same top matches.
• Every new row is labelled — records saved while caching is on carry changeType: "new".
• Separate caches per name — use one name per niche (for example whop-trading and whop-fitness) and each keeps its own history. Use a new name to start from scratch.
• Cheaper runs — you only pay for genuinely new products, and cached items never trigger the extra detail request.

Combine it with an Apify Schedule (daily or weekly) and a list of search URLs in Search, store or product URLs to get a feed of newly listed Whop products.

🐍 How to scrape Whop with Python, JavaScript or the API

Run the actor programmatically with the official Apify clients. Replace <YOUR_API_TOKEN> with the token from your Apify Console.

Python (pip install apify-client):

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("confidential_gnat/whop-products-scraper").call(run_input={
    "searchQueries": ["trading"],
    "maxItems": 20,
})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

JavaScript (npm install apify-client):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('confidential_gnat/whop-products-scraper').call({
    searchQueries: ['trading'],
    maxItems: 20,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

cURL — start a run and wait for the dataset:

curl -X POST "https://api.apify.com/v2/acts/confidential_gnat~whop-products-scraper/run-sync-get-dataset-items?token=<YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"searchQueries": ["trading"], "maxItems": 20}'

💡 What you can use Whop product data for

• Pricing research — compare subscription prices, billing periods and trials across trading, fitness, e-commerce and AI communities.
• Competitor tracking — watch rival products' ratings, review counts, plans and Whop ranking over time.
• Lead generation — find Whop sellers, their owners and social links in a niche.
• Market sizing — count products and businesses per keyword and category, with member counts and views.
• Review monitoring — collect the latest reviews and star ratings for products you sell or resell.

Creators, affiliate marketers, agencies and market researchers in the creator economy, online education and trading communities use this data to price products, pick affiliate offers and spot growing niches.

⚠️ Whop scraper limitations

• Hidden counters — sellers can hide member and active user counts; these then come back as 0.
• Search depth — Whop returns at most the number of matches it reports for a query (usually a few hundred), 50 per page.
• Leaderboards and Content Rewards pages — not supported; use a search query, store or product URL.
• Reviews — the 10 latest reviews per product are included, not the full review history.

❓ Whop scraper FAQ

Can I scrape Whop legally?

The actor only collects data that is publicly visible on whop.com without logging in. Scraping publicly available data is generally considered lawful (see hiQ Labs v. LinkedIn), but you are responsible for following Whop's Terms of Service and laws such as GDPR or CCPA when you handle personal data like owner names.

What data does the Whop scraper return?

Every product comes with title, headline, description, category, seller, default price and billing period, rating, review count, Whop ranking and dates. With Scrape product details on (the default) you also get every plan, the owner, FAQ, social links, included features, affiliate commission and the latest reviews.

How many Whop products can I scrape from one search?

Max items per search limits the unique items saved for each search query or search URL. The actor pages through results 50 at a time until that limit or the end of Whop's results, which is usually a few hundred matches per keyword.

Do I need a proxy to scrape whop.com?

No. The proxy is off by default and Whop answers plain requests. Turn on an Apify datacenter proxy only if you start seeing failed requests on very large runs.

How do I scrape Whop with Python?

Use the Python example above: start the actor with your search queries, then iterate over the dataset items of the finished run.

Can I run this Whop scraper on a schedule?

Yes. Create an Apify Schedule and set a Cache project name. Products already scraped under that name are skipped, are not charged and do not count towards Max items, so each scheduled run returns only new Whop products marked with changeType: new. See the cache section above for details.

What output formats are supported?

JSON, CSV, Excel, XML and RSS, either from the Output tab or through the Apify API.

How do I get only new Whop products on each run?

Set the same Cache project name on every run. Items saved in earlier runs are skipped before they are scraped or charged, so the dataset holds only new products.

Can I scrape Whop sellers instead of products?

Yes. Set Search for to Businesses and each record is a Whop seller with member count, total views, rating, review count, owner, logo and banner image.

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💬 Support & contact

If you encounter any issues or have questions, please open an issue.

You can also find more of our actors on the Actor Flow page.