Tabelog restaurants
Returns restaurant details, ratings and reviews from Tabelog, Japan's restaurant review site, by keyword and prefecture or by restaurant, search and ranking links. Useful for Japanese dining market research and review analysis.
What you get
- Restaurant name, rating and cuisine genre
- Address, nearest station and business hours
- Lunch and dinner budget ranges
- Payment methods, seats, private rooms, smoking policy and parking
- Reservation policy, services, drinks and awards
- Phone number, homepage and main photo
- Review title, text and rating
- Visit date, meal type and price range per review
- Optional review photo links
What it can do
- Search by keyword, optionally limited to one prefecture
- Pass restaurant pages directly, or search, area and ranking links that are paged automatically
- Choose restaurant info only or include reviews
- Filter reviews by Japanese or English and sort by newest or rating
Limits
- Up to 3,296 results per run
- Only publicly visible data
- The restaurant cap applies to keyword searches only
Input options
| Field | What it does |
|---|---|
| startUrls | Tabelog restaurant, search, area or ranking links. |
| searchKeyword | Keyword such as a restaurant name or cuisine. |
| searchArea | Prefecture to limit the keyword search to. |
| maxRestaurants | Maximum restaurants from a keyword search. |
| includeReviews | Also collect individual reviews. |
| maxReviewsPerRestaurant | Maximum reviews per restaurant. |
| reviewLanguage | all, japanese or english. |
| sortBy | Review order: newest, rating_high, rating_low or default. |
Example
Ask your AI for the data in plain words and it picks this source. Developers can also call source procli_tabelog_a directly through the REST API or MCP with an input like this:
{
"includeReviews": true,
"maxRestaurants": 5,
"maxReviewsPerRestaurant": 3,
"reviewLanguage": "all",
"searchArea": "all",
"searchKeyword": "",
"sortBy": "newest",
"startUrls": [
{
"url": "https://tabelog.com/tokyo/A1311/A131102/13003699/"
}
]
}
How to use it
- Create an account at prolevelmax.com. New users receive $1 in sign-up credit after verifying their email (one per person). No card required.
- Connect your AI. In the Dashboard, open Get started → Coding tools and API → Generate setup instructions and paste the instructions into your AI (Claude, ChatGPT, Cursor, Codex and others). You can also add the MCP server
https://prolevelmax.com/mcpor call the REST API. - Request data. Your AI selects a source, quotes the price and runs it only after you confirm. Results are returned as structured JSON that the AI can format as a table or report.
FAQ
How is this source billed?
Per result: $0.0091/result + $0.001/run, min $0.0283/run. Your AI quotes the price first, and you are never charged more than the quote.
Do I need a Tabelog account or API key?
No. You only need a ProLevelMax account. One balance and one connection cover all 157 platforms.
Is the data real-time?
Yes. Every call fetches public Tabelog data at the time of the request. Only publicly visible content is collected.
All Tabelog sources and prices
New users receive $1 in sign-up credit after verifying their email (one per person). No card required. Pay per use with no subscription. Top up by card (USD) or Alipay (CNY); Enterprise top-ups from $1,000 by bank transfer.
Start for free