Judge.me Reviews Scraper

⭐ Judge.me Reviews Scraper

Export customer reviews from any online store that uses Judge.me: star rating, review text, reviewer, date, verified-buyer flag, product, photos and the store's reply. Switch to store profiles to get each store's rating, review counts, star histogram, medals, trust scores, top products, address, policies and social profiles. No login, no API key, and 1,000 reviews take about 20–25 seconds.

✨ Why use Judge.me Reviews Scraper?

• ⚡ Fast — reads Judge.me's public review data directly, 25 reviews per request. 1,000 reviews in about 20–25 seconds, 10,000 in under 2 minutes.
• 🔓 No login needed — only public review pages are read. No Judge.me or Shopify account, no cookies.
• 📦 Deep scraping — Judge.me only lets visitors page through 1,000 reviews per listing. The actor reads each star rating, review source and product as its own listing, so it gets much further on big stores, and saves each review once.
• 🎯 Precise filters — star ratings, product or store reviews, verified buyers, review source, a keyword and a "newer than" date.
• 🔎 Find stores by keyword — search the Judge.me store directory (e.g. "coffee", "skincare") and scrape every store it finds.
• 💸 Cheap — $0.75 per 1,000 results, and platform usage is only about $0.001 per 1,000 reviews.

🎯 Use cases

• 🕵️ Competitor research — read what customers love and hate about a competitor's products, sorted by lowest rating first.
• 🧪 Product development — mine 1- and 2-star reviews for defects, sizing problems and feature requests.
• 📈 Review monitoring — schedule a daily run with "Reviews newer than: 1 day" to track new reviews of your own or rival stores.
• 🛍️ Dropshipping and product research — compare ratings, review volume and top products across stores in a niche.
• 🤝 Lead generation — build lists of Judge.me merchants by niche with their domain, country, contact page, address and social profiles.
• 🧠 Sentiment analysis and AI datasets — export clean review text with ratings, dates, languages and countries.

🚀 How to use

1. Enter one or more stores: the store's domain (www.uklash.com), its .myshopify.com domain, a Judge.me link (https://judge.me/reviews/stores/www.uklash.com) or a product link. Or type keywords into Find stores by keyword.
2. Choose What to scrape: Reviews (one row per review) or Store profiles (one row per store).
3. Set Max reviews per store (0 = all) and any filters.
4. Click Start and wait for the run to finish.
5. Download the results as JSON, CSV, Excel or HTML, or read them through the API.

📥 Input

{
  "stores": ["www.uklash.com", "https://judge.me/reviews/stores/www.djangocoffeeco.com"],
  "mode": "reviews",
  "maxReviewsPerStore": 100,
  "stars": ["1", "2"],
  "reviewsNewerThan": "6 months",
  "sortBy": "newest"
}

📤 Output

Reviews mode saves one row per review:

Example (from a test run; reviewer name changed):

{
  "uuid": "289cd52b-cc85-473c-904a-42472c720ad8",
  "rating": 5,
  "title": "5 stars",
  "body": "I love espresso and light roast amazing coffee",
  "created_at": "2026-10-20T06:53:29.901Z",
  "reviewer_name": "Jamie R.",
  "verified_buyer": true,
  "is_shop_review": false,
  "product_title": "Belle Espresso",
  "product_url": "https://www.klatchcoffee.com/products/belle-espresso",
  "product_review_page_url": "https://judge.me/reviews/stores/www.klatchcoffee.com/products/belle-espresso",
  "product_image_url": "https://cdn.shopify.com/s/files/1/1607/0925/files/Belle_Esp_cb84eef1-1316-48a6-9e30-e2b416ab3e18.png?v=1689358728",
  "reply_content": "Thank you, Jamie! We're thrilled to hear you love our Belle Espresso. Enjoy your coffee!",
  "reply_name": "Klatch Coffee",
  "pictures_urls": [
    "https://review-images.judgeme.com/klatch-coffee/1792479326__img_0048__original.jpeg?quality=80&width=1024"
  ],
  "has_media": true,
  "thumb_up": 0,
  "location_country": "United States",
  "location_country_code": "US",
  "transparency_badges": ["review_collected_via_store_invitation"],
  "custom_answers": [
    {"question_title": "Preparation methods used:", "value": "Espresso, Cold Brew", "question_type": "multiple"}
  ],
  "store_name": "Klatch Coffee",
  "store_slug": "www.klatchcoffee.com",
  "store_domain": "klatch-coffee-roasting.myshopify.com",
  "store_url": "https://judge.me/reviews/stores/www.klatchcoffee.com",
  "scraped_at": "2026-10-21T21:49:40.566Z"
}

Store profiles mode saves one row per store with name, url, average_rating, number_of_reviews, verified_published_reviews, all_reviews_count, shop_reviews_count, product_reviews_count, rating_histogram (count and percent per star), medals, transparency_score, authenticity_score, products_count, country, currency, custom_domain, domain, platform, logo, banner, description, addresses, contact_info, shipping_policy, refund_policy, shipping_carriers, social_networks (links and follower counts), features, top_products (title, price, rating, review count) and featured_reviews.

{
  "type": "store",
  "url": "https://judge.me/reviews/stores/www.uklash.com",
  "name": "UKLASH",
  "average_rating": "4.74",
  "number_of_reviews": 46127,
  "verified_published_reviews": 45181,
  "all_reviews_count": 56603,
  "rating_histogram": [{"rating": 5, "count": 46900, "percentage": 83}, {"rating": 4, "count": 6137, "percentage": 11}],
  "medals": ["Diamond Verified Reviews Shop", "Gold Authentic Shop", "Top 250 Shops"],
  "transparency_score": 0.94145,
  "authenticity_score": 0.97949,
  "products_count": 98,
  "country": "GB",
  "currency": "GBP",
  "custom_domain": "www.uklash.com",
  "contact_info": {"contact_page_url": "https://www.uklash.com/pages/contact-us"},
  "social_networks": {"instagram_url": "https://www.instagram.com/uklash", "instagram_followers": 140364},
  "top_products": [{"title": "Lash Growth Serum", "displayed_price": "£39.00 GBP", "number_of_reviews": 32476, "average_rating": 4.77}]
}

💰 Pricing

You pay $0.75 per 1,000 results (a review or a store profile), $0.00075 each. 1,000 reviews ≈ $0.75, 10,000 reviews ≈ $7.50. Platform usage (compute, proxy) is billed on top and is small: measured at about $0.001 for 1,000 reviews and $0.008 for 10,000 reviews at the default 256 MB. Runs that save nothing cost nothing in results.

❓ FAQ

Is it legal to scrape Judge.me? The actor reads only public review pages that anyone can open without an account. Reviews can contain personal data such as reviewer names; make sure your use complies with the GDPR and other laws that apply to you.

Do I need a login or a proxy? No login. The default datacenter proxy works (every test run used it). If Judge.me refuses the datacenter exits, the run switches to US residential exits by itself.

How many reviews can I get? As many as Judge.me lets visitors read. A single listing stops at 1,000 reviews, so the actor reads each star rating, review source and product separately. In our tests a store with 1,424 reviews came out complete; on very large stores (tens of thousands of reviews concentrated in a few products) some older reviews stay out of reach, and the run's status message says how many were saved out of how many exist.

Why is a field empty? Many fields are optional on Judge.me: review titles, photos, store replies, reviewer country and helpful votes only appear when they exist. Store profiles leave out what the merchant does not publish.

Can I find stores without knowing their domain? Yes: use Find stores by keyword, or type the store's name in Stores; it is looked up in the Judge.me store directory.

Can I schedule it or use the API? Yes. Save your input as a task and schedule it (e.g. daily with "Reviews newer than: 1 day"), or start runs and read results through the API and integrations.

I used a similar actor on another platform. Will my input work? Mostly yes: feature, review_type, stars, verified_only, review_source, sort and sort_dir are understood too, and review fields keep familiar names.

⚠️ Limits

• Judge.me shows at most 1,000 reviews per listing. The actor works around it with star-rating, source and product listings, but on very large stores not every old review can be reached. The status message and the run's OUTPUT (reviewsOnJudgeMe, notFullyReachable) tell you when that happens.
• When more than 1,000 reviews are read, rows come listing by listing (each newest first), not in one global date order.
• Only public data: no reviewer emails, order details or unpublished reviews.
• Store profile fields depend on what each merchant publishes.
• Questions and answers are not scraped.