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KKday Review Scraper

Scrape KKday product reviews at scale with a reliable, production‑ready Apify Actor.

This actor lets you extract customer reviews from kkday.com product pages, optionally translate them into multiple languages, sort them by rating, recency, or helpfulness, and stop automatically at a specific cutoff date.

It is designed for SEO analysts, market researchers, data scientists, and growth teams who need structured KKday review data for sentiment analysis, competitor research, trend tracking, or content generation.

🚀 Key Features

• ✅ Scrape reviews from any KKday product URL
• 🌍 Automatic review translation into 15+ languages
• 🔃 Sort reviews by highest rating, lowest rating, most recent, or most helpful
• 📅 Cutoff date support – stop scraping once older reviews are reached
• ⚡ Fast & scalable with async requests
• 🛡️ CAPTCHA & 403 handling with residential proxies
• 📊 Clean, structured dataset output (Apify Dataset)

🔍 What Can You Use This For?

• KKday review scraping
• Travel & activity market research
• Review sentiment analysis
• Competitive benchmarking
• AI training datasets
• SEO & UGC analysis
• Monitoring new customer feedback over time

📥 Input Configuration

Required input

Optional input

🌍 Supported Translation Languages

• English (US, AU, SG, HK, and more)
• Japanese
• Korean
• Thai
• Vietnamese
• Chinese (Simplified & Traditional)

Translations are only applied when the original review language differs from the selected target language.

🔃 Sorting Options

ℹ️ When cutoffDate is set, sorting is automatically forced to Most recent.

📅 Cutoff Date Behavior

When cutoffDate is provided:

• Reviews are automatically sorted by most recent first
• Scraping stops immediately once a review older than the cutoff date is reached
• This significantly reduces runtime and API usage

Example use case:

“Give me only reviews posted after January 1st, 2025.”

📤 Output Data

Each scraped review is stored as one dataset item with the following fields:

🧪 Example Input

{
"startUrl":"https://www.kkday.com/en-us/product/2312-universal-studios-singapore-ticket",
"maxReviews":100,
"language":"en-us",
"sortBy":"POSTDATE_DESC",
"cutoffDate":"2025-01-01"
}

📈 Example Output

{
"pageUrl":"https://www.kkday.com/en-us/product/2312-universal-studios-singapore-ticket",
"pageId":"2312",
"reviewId":"4079351",
"rating":5,
"originalTitle":"小而美的樂園",
"translatedTitle":"A small but beautiful amusement park",
"originalBody":"新加坡環球影城雖然比較小...",
"translatedBody":"Although Universal Studios Singapore is relatively small...",
"postDate":"2026-01-29"
}

⚙️ How It Works (Technical Overview)

1. Loads the KKday product page
2. Extracts product ID and market
3. Fetches reviews page by page via KKday internal API
4. Translates reviews when required
5. Applies sorting, cutoff logic, and max review limits
6. Saves structured output to Apify Dataset

The actor is built with:

• Async Python
• Apify SDK
• Automatic retries & proxy rotation

🛡️ Reliability & Anti‑Blocking

• Residential proxy support
• Automatic retry on CAPTCHA & 403 errors
• Browser impersonation
• Session reuse for stability

Designed for long‑running and high‑volume scraping jobs.

🧠 Tips & Best Practices

• Use cutoffDate for incremental scraping
• Combine maxReviews + cutoffDate for predictable runtimes
• Use Most recent sorting for monitoring new reviews
• Export datasets to CSV / JSON for analysis

📄 Legal & Ethical Notice

This actor is intended for publicly available data only. You are responsible for ensuring compliance with KKday’s terms of service and local regulations.

⭐ Why Use This Actor?

If you need a robust, scalable, and translation‑ready KKday review scraper, this actor is built to production standards and optimized for real‑world usage.

Happy scraping 🚀