KKday Reviews Scraper ⭐

What does KKday Reviews Scraper do?

KKday Reviews Scraper collects public customer reviews from any KKday product page. Paste one or more KKday product URLs, choose how the reviews should be ordered, set a result limit, and the Actor returns a clean dataset with ratings, review text, author names, visit dates, helpful votes, and review photos. It works with KKday locale paths such as /en/, /zh-tw/, /ja/, /ko/, and /en-sg/, so you can collect reviews in the language your audience reads.

Use it for travel market research, activity and attraction monitoring, destination content, or building AI-ready datasets from public travel reviews.

Why use KKday Reviews Scraper?

• Structured review data - Collect ratings, review titles, review text, author names, visit dates, post dates, and review photos without manual copy-paste.
• Localized results - Use a locale URL to collect translated or original review text, and keep both versions in the dataset.
• Flexible ordering - Sort by highest rating, lowest rating, most recent, reviews with photos, most helpful, or KKday recommended.
• Multi-product runs - Process several product URLs in one run and keep product context on every review.
• Automation-ready output - Export results to JSON, CSV, Excel, XML, or send them to other tools through Apify integrations.

What data can you extract from KKday?

Field	Description
review_id	KKday review identifier
product_id	Product identifier taken from the product URL
product_title	Title of the reviewed product
product_url	Product URL supplied in the input
product_rating	Average product rating reported by KKday
product_review_count	Total number of reviews reported by KKday
rating	Rating given by the reviewer from 1 to 5
title	Review title, translated when a translation is available
body	Review text, translated when a translation is available
title_original	Review title in the reviewer's language
body_original	Review text in the reviewer's language
is_translated	True when a translated title or review text was available
author_name	Display name of the reviewer
author_avatar	Avatar image URL of the reviewer
traveller_type	Traveller type code reported with the review
images	Photos attached to the review
helpful_count	Number of helpful votes for the review
go_date	Date of the visit in YYYY-MM-DD format
post_date	Date and time when the review was posted
scraped_at	ISO timestamp for when the record was collected

How to use KKday Reviews Scraper

1. Open the Actor on Apify Store.
2. Paste one or more KKday product URLs into KKday product URLs.
3. Choose a value in Review sorting, or keep the default highest rating order.
4. Set Maximum reviews and, if needed, Maximum pages per product.
5. Run the Actor.
6. Download the dataset or connect it to your workflow.

Input Parameters

Parameter	Type	Required	Default	Description
startUrls	Array	No	Example product URL	One or more KKday product URLs. Any KKday locale path works.
sortBy	String	No	RATING_DESC	Review order: RATING_DESC, RATING_ASC, POSTDATE_DESC, IMAGE_DESC, HELPFUL_DESC, or KKDAY_DESC.
results_wanted	Integer	No	20	Maximum number of reviews saved across all product URLs. Higher values make the Actor combine review sort orders and tag filters to collect more unique reviews.
max_pages	Integer	No	15	Safety cap on pages fetched per sort and tag filter. KKday returns 10 reviews per page and serves at most 15 pages for any single filter, so 15 is the maximum useful value.
proxyConfiguration	Object	No	Apify residential proxy	Proxy settings. Residential proxy is enabled by default because KKday blocks direct requests from datacenter IPs.

Output Data

Field	Type	Description
review_id	Integer	KKday review identifier
product_id	Integer	Product identifier taken from the product URL
product_title	String	Title of the reviewed product
product_url	String	Product URL supplied in the input
product_rating	Number	Average product rating
product_review_count	Integer	Total number of reviews for the product
rating	Integer	Rating given by the reviewer
title	String	Review title
body	String	Review text
title_original	String	Review title in the original language
body_original	String	Review text in the original language
is_translated	Boolean	True when a translation was available
author_name	String	Reviewer display name
author_avatar	String	Reviewer avatar image URL
traveller_type	String	Traveller type code
images	Array	Review photo URLs
helpful_count	Integer	Helpful votes for the review
go_date	String	Visit date
post_date	String	Review post date and time
scraped_at	String	Collection timestamp

Usage Examples

Basic review collection

Collect the first set of reviews from one product page:

{
    "startUrls": ["https://www.kkday.com/en/product/133300-shibuya-sky-observatory-e-ticket-tokyo"],
    "results_wanted": 50
}

Multiple products in one run

Collect reviews from more than one product in the same run:

{
    "startUrls": [
        "https://www.kkday.com/en/product/133300-shibuya-sky-observatory-e-ticket-tokyo",
        "https://www.kkday.com/en/product/19252-tokyo-disney-resort-disneyland-disneysea"
    ],
    "sortBy": "POSTDATE_DESC",
    "results_wanted": 100,
    "max_pages": 10
}

Localized, photo-first collection

Use a locale URL and prioritize reviews with photos:

{
    "startUrls": ["https://www.kkday.com/ja/product/133300-shibuya-sky-observatory-e-ticket-tokyo"],
    "sortBy": "IMAGE_DESC",
    "results_wanted": 40,
    "max_pages": 4
}

Sample Output

{
    "review_id": 4552911,
    "product_id": 133300,
    "product_title": "SHIBUYA SKY Observation Deck Tickets in Tokyo",
    "product_url": "https://www.kkday.com/en/product/133300-shibuya-sky-observatory-e-ticket-tokyo",
    "product_rating": 4.7,
    "product_review_count": 14748,
    "rating": 5,
    "title": "Awesome",
    "body": "Overall, it was great. It had lighting and sound effects. It was a bit chilly on the rooftop, so I recommend bringing a jacket.",
    "title_original": "超棒",
    "body_original": "整體來說很棒，有燈光跟音效，頂樓有點冷建議帶外套。",
    "is_translated": true,
    "author_name": "HSINYU",
    "author_avatar": "https://image.kkday.com/v2/image/get/s1.kkday.com/member/default_image/png",
    "traveller_type": "02",
    "images": ["https://image.kkday.com/v2/image/get/s1.kkday.com/recommend_3475998/20261017001731_xjLgB/jpg"],
    "helpful_count": 0,
    "go_date": "2026-10-12",
    "post_date": "2026-10-17 00:17:32",
    "scraped_at": "2026-10-18T11:31:29.663Z"
}

Tips for Best Results

• Paste complete product URLs, for example https://www.kkday.com/en/product/133300-shibuya-sky-observatory-e-ticket-tokyo. A product number such as 133300 also works.
• Choose the locale path that matches the review language you need. The /en/ path usually returns English text, while other locale paths return localized review text.
• Keep the result limit small for a first test, then raise it after you confirm the dataset looks right.
• Use POSTDATE_DESC to follow recent feedback, and IMAGE_DESC when you need reviews with photos.
• Some reviews have no title or no photos. Those fields stay empty when KKday does not publish them.
• Set results_wanted to the number of reviews you want. For large counts, the Actor combines sort orders and tag filters to collect more unique reviews and may take longer.
• KKday serves at most 15 pages for any single sort or tag filter. When the Actor has collected everything the public pages allow, it finishes successfully with the reviews it has instead of failing.
• Keep the default residential proxy enabled. KKday blocks direct requests from datacenter IPs, and disabling the proxy can cause blocked or empty runs.

Integrations

• Google Sheets - Send review data to a spreadsheet for analysis.
• Webhooks - Trigger a workflow after each run.
• Make or Zapier - Connect results to no-code automations.
• API - Read the dataset from your own systems.
• CSV, Excel, JSON, XML - Download the dataset in the format you need.

Frequently Asked Questions

Can I export KKday reviews to CSV or Excel?

Yes. Apify datasets can be downloaded as CSV, Excel, JSON, XML, and other supported formats from the dataset tab.

Can I scrape reviews from more than one KKday product at once?

Yes. Add multiple product URLs to startUrls. Each saved review includes its product ID, product title, and product URL so you can tell the products apart.

Can I get reviews in a specific language?

Yes. Use the locale path in the product URL. For example, /en/ returns English review text where available, while /ja/, /ko/, /zh-tw/, and other locale paths return that locale's text. The dataset also keeps the original title and text when a translation is available.

How many reviews can I collect per product?

KKday returns 10 reviews per page and serves at most 15 pages for any single sort order or tag filter. To collect more than that, the Actor automatically combines every available sort order and tag filter, removes duplicates, and keeps going until it reaches results_wanted or exhausts the available combinations. Set results_wanted to the total number of reviews you want across all products. KKday's public pages expose only a portion of a product's total review count, so the Actor collects the maximum number of unique reviews the public pages allow. When KKday has no more pages to serve, the Actor keeps the reviews it already collected and finishes successfully.

Can I sort reviews by rating, date, or photos?

Yes. Use sortBy to choose highest rating, lowest rating, most recent, reviews with photos, most helpful, or KKday recommended order.

Why are some fields empty?

KKday does not publish every field for every review. Reviews without a title, without photos, or without a translation leave those fields empty.

Can I run this Actor on a schedule?

Yes. You can schedule the Actor in Apify Console to refresh review data hourly, daily, weekly, or at another interval.

Is it legal to scrape KKday reviews?

Scraping publicly available review data can be legal, but you are responsible for complying with applicable laws, KKday terms, and privacy rules. Use the data responsibly.

Related Actors

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• OpenTable Reviews Scraper - Collect restaurant reviews and ratings from OpenTable.
• Holidaycheck.de Reviews Scraper - Collect hotel reviews from Holidaycheck.de.
• Tripadvisor Hotels Scraper - Collect hotel listings and travel data from Tripadvisor.

Support

For issues, feature requests, or custom Actor work, use the Issues tab on the Actor page or contact the developer through Apify.

Legal Notice

This Actor is designed for legitimate collection of publicly available review data. Users are responsible for using the data responsibly and complying with applicable laws, website terms, and privacy rules.