Pricing

Rating

Developer

Actor stats

Categories

Share

⭐ Coupang Eats Reviews Scraper

Extract customer reviews — ratings, review text, photos, ordered menu items, reorder signals, and owner replies — from Coupang Eats (쿠팡이츠), South Korea's #2 food delivery platform.

This is the companion actor to the Coupang Eats Crawler (restaurants + menus). That one answers "which restaurants exist and what do they sell?" — this one answers "what do customers actually think?"

🌏 What is Coupang Eats?

Coupang Eats is the food-delivery arm of Coupang, Korea's largest e-commerce company (the "Amazon of Korea", NYSE-listed CPNG). Together with Baemin it controls ~88% of the Korean delivery market, and it's the side still gaining share — every Coupang Wow membership (~15M subscribers) bundles free Eats delivery.

Reviews on Coupang Eats are order-verified: a customer can only review a store after actually ordering from it. That makes this review corpus far cleaner than open platforms like Google Maps — no drive-by one-stars, no competitor sabotage, and every review is linked to the actual menu items ordered.

🚀 What does this actor do?

Give it a store (by ID or by name) and it returns that store's reviews, newest-first by default:

• Store IDs (storeIds) — the storeId from the share URL. Fastest, no address needed.
• Store names (storeNames) — Korean or English. Matched to a store near your chosen address (results depend on the delivery location; chains have one store per district, so set the address near the branch you mean).
• Choose sort order (newest / most helpful / highest / lowest rating), cap reviews per store, optionally keep only photo reviews.

No account or extra setup required — just enter a store and run.

🍗 Why review data matters (buyer personas)

🗾️ Example input

By store ID (fastest, no address needed):

{
"storeIds":["741250"],
"maxReviewsPerStore":100
}

By store name (matched near an address):

{
"storeNames":["무궁화반점 강남점","맥도날드"],
"addresses":[
{"latitude":37.4979,"longitude":127.0276,"label":"Gangnam, Seoul"}
],
"maxReviewsPerStore":200
}

Worst reviews first, photos only:

{
"storeIds":["741250"],
"sort":"RATING_ASC",
"onlyWithPhotos":true,
"maxReviewsPerStore":50
}

📦 What data do you get?

One row per review:

{
"review_id":"273228948",
"store_id":"741250",
"store_name":"무궁화반점 강남점",
"rating":5,
"text":"근래 먹은 짬뽕 중 가장 맛있었어요~~",
"writer":"주*연",
"written_at_text":"오늘",
"written_date_approx":"2026-06-10",
"images":["https://t4c.coupangcdn.com/thumbnails/remote/1024x1024/image/eats_review_api/....jpg"],
"image_count":1,
"ordered_menu_items":["소고기 직화 짬뽕","500원의 행복:튀김고기만두 2개"],
"thumb_up_count":0,
"reorder_count":2,
"merchant_reply_text":"안녕하세요, 무궁화반점 강남점입니다 😊 ...",
"merchant_reply_written_at_text":"오늘",
"writer_review_count":2,
"writer_rating_avg":5.0,
"is_owner_review":false,
"store_rating_avg":4.8,
"store_review_count":6851,
"store_rating_distribution":{"5":87,"4":8,"3":3,"2":1,"1":1},
"sort":"LATEST_DESC",
"review_rank":1,
"input_store_name":null,
"store_url":"https://web.coupangeats.com/share?storeId=741250",
"scraped_at":"2026-06-10T08:15:00.000Z"
}

Field reference

Note on dates: Coupang Eats only exposes relative dates ("3일 전"). written_date_approx converts them to calendar dates; precision degrades with age (weeks → ±3 days, months → ±2 weeks).

🦖 How to use

1. Enter storeIds (find the ID in any Coupang Eats share link: https://web.coupangeats.com/share?storeId=741250) — or storeNames + an address.
2. Optionally set maxReviewsPerStore (default 100), sort, and onlyWithPhotos.
3. Run the actor.
4. Download from the Dataset tab or via the API.

A run collecting 100 reviews from one store completes in a few seconds.

Tip: to scrape reviews for many stores at once, first run the Coupang Eats Crawler with a search/category, export the store_id column, and paste it into this actor's storeIds.

🔍 Key features

• Order-verified reviews — every review is tied to a real order, with the exact menu items listed.
• Owner replies included — measure reply rate and tone per store.
• Loyalty signals — reorder counts and reviewer history (lifetime review count + average rating).
• All 4 app sort orders — newest, most helpful, highest, lowest.
• Photo filter — collect only reviews with images.
• Two input modes — direct store IDs (no address) or store names matched near an address.
• Automatic retries — transient errors retried with exponential backoff.

📋 Input parameters

Common address coordinates (for name lookup)

📩 Feedback

Found a bug or have ideas? Open an issue on the actor's Apify page — happy to improve it.