Tabelog Details Scraper

📌 What can you collect with Tabelog Details Scraper?

This template collects the store's name, ratings, address,  etc from Tabelog by URLs.

Data is collected from Tabelog. Tabelog is a travel service where users research destinations, hotels, restaurants, flights, prices, ratings, and availability.

💰 Pricing

This template currently has no per-line charge.

📦 Output

Tabelog Details Scraper returns these fields:

• Restaurant_name
• Page_URL
• Star_rating
• Number_Of_Reviewers
• Categories
• Tel_for_reservation
• Address
• Transportation
• Operating_hours
• Budget
• Method_of_payment
• Table_money
• Number_of_seats
• Private_dining_room
• Private_use
• No_smoking_or_Smoking
• Parking_lot
• Space_and_facilities
• Course
• Drink
• Dishes
• Occasion
• Location
• Service
• With_children
• The_homepage
• The_opening_day
• Tel
• Remarks
• First_Reviewers

Example Data Preview:

{
  "Restaurant_name": null,
  "Page_URL": null,
  "Star_rating": null,
  "Number_Of_Reviewers": null,
  "Categories": null,
  "Tel_for_reservation": null,
  "Address": "東京都千代田区九段北4-1-15 MT市ヶ谷ビル 1F 大きな地図を見る 周辺のお店を探す",
  "Transportation": "総武線市ヶ谷駅から徒歩5分都営新宿線市ヶ谷駅から徒歩2分東京メトロ有楽町線市ヶ谷駅から徒歩5分 市ケ谷駅から193m",
  "Operating_hours": "[平日] ランチ:11:30-15:00 (L.O14:30) ディナー:17:00-23:00(L.O22:30) [土、日、祝] 11:30-23:00(L.O22:30)",
  "Budget": "[夜]￥2,000～￥2,999 [昼]～￥999",
  "Method_of_payment": "カード可 （VISA、Master） 電子マネー不可 QRコード決済可 （PayPay）",
  "Table_money": "お通し200円（税込）",
  "Number_of_seats": "37席 （テラス12席、店内25）",
  "Private_dining_room": "無",
  "Private_use": "可",
  "No_smoking_or_Smoking": "分煙 2020年4月1日より受動喫煙対策に関する法律(改正健康増進法）が施行されており、最新の情報と異なる場合がございますので、ご来店前に店舗にご確認ください。",
  "Parking_lot": "無",
  "Space_and_facilities": "オシャレな空間、落ち着いた空間、ソファー席あり、オープンテラスあり、スポーツ観戦可、電源あり、無料Wi-Fiあり",
  "Course": "飲み放題",
  "Drink": "日本酒あり、焼酎あり、ワインあり、カクテルあり",
  "Dishes": "健康・美容メニューあり",
  "Occasion": "家族・子供と こんな時によく使われます。",
  "Location": "隠れ家レストラン",
  "Service": "2時間半以上の宴会可、お祝い・サプライズ可、テイクアウト、デリバリー",
  "With_children": "子供可",
  "The_homepage": "https://ton-worry.owst.jp/",
  "The_opening_day": "2021年10月1日",
  "Tel": "03-6265-6732",
  "Remarks": null,
  "First_Reviewers": "たけ8765（0）"
}

🎯 Use Cases

• Compare travel listings, prices, ratings, reviews, locations, or availability.
• Monitor changes across destinations or repeated collection periods.
• Build structured hotel, restaurant, flight, or destination research datasets.
• Export listing URLs and result fields for reporting or downstream analysis.

🐙 Why Octoparse

• Ready-to-use Tabelog workflow: Enter Urls(up to 10,000）, run Tabelog Details Scraper, and review the structured rows returned for each source record.
• Useful results: The returned Restaurant name, Page URL, Star rating, Number Of Reviewers, Categories, Tel for reservation, Address, Transportation, Operating hours, and Budget fields support comparison, monitoring, and reusable data workflows.
• Local or cloud runs: Run this template locally or in the cloud.
• Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.

You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.

📝 Input

• Urls(up to 10,000） (required): Enter one or more values, one per line.

🚀 How to Use

1. Open the template and select Try it or Start.
2. Complete the input fields listed above.
3. Choose a local or cloud run.
4. Review the output rows and export or process the structured data.

⚠️ Limitations

• Tabelog Details Scraper collects the fields listed in Output from detail pages; it does not add data that Tabelog does not display.
• Fields such as Tel, Remarks, and First Reviewers can be empty when the source record does not provide them.

💡 Tips

• Start with one or a few inputs and review the returned rows before scaling the task.
• Use the most specific valid Urls(up to 10,000） to reduce unrelated or duplicate records.
• Use a stable URL or identifier from Restaurant name, Page URL, Star rating, Number Of Reviewers, Categories, Tel for reservation, Address, Transportation, Operating hours, and Budget as the deduplication key when available.

❓ FAQ

Does Tabelog Details Scraper analyze the collected data?

No. It collects structured source data. Analysis can be performed after export or in a downstream reporting or AI workflow.

Can I schedule and export data collected by Tabelog Details Scraper?

Yes. You can schedule Tabelog Details Scraper to run locally or in the cloud and export the collected data from Octoparse. Keep your computer and Octoparse open for local scheduled runs. Scheduling may require a paid Octoparse plan.

How much does Tabelog Details Scraper cost?

This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.

🔗 Related Templates

• Tabelog Store list Scraper - Use Tabelog Store list Scraper first, then pass its url values into this template.
• Tabelog Store Listings Scraper (By Area) - Use Tabelog Store Listings Scraper (By Area) first, then pass its url values into this template.
• Google Maps Leads Scraper (by Keywords) - Use Google Maps Leads Scraper (by Keywords) for a comparable business directory collection scenario on another source.