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🍣 Tabelog List Scraper | Bulk Restaurant Search Scraper Japan | Apify Actor 🇯🇵

🚀 Scrape Tabelog Restaurants in Bulk (No Code)

The Tabelog List Scraper (Apify Actor) is a powerful and scalable restaurant data extraction tool designed to scrape restaurant listing cards from Tabelog's English website.

Extract detailed restaurant information from Tabelog area pages, search-result pages and reservation searches, with automatic pagination and support for multiple URLs in a single run.

Perfect for restaurant research, Japan market intelligence, food market analysis, competitor research, tourism datasets, location intelligence, price analysis, lead generation and AI datasets.

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🔥 Why This Tabelog Scraper?

✔ Scrape Tabelog restaurant listings

✔ Supports bulk URL scraping

✔ Process multiple Tabelog URLs in one run

✔ Supports Tokyo, Osaka, Kyoto and other Japanese areas

✔ Automatic pagination

✔ Supports reservation-search URLs

✔ Extract restaurant rankings

✔ Extract ratings and review counts

✔ Extract restaurant genres

✔ Extract nearest stations and distances

✔ Extract lunch and dinner price ranges

✔ Extract restaurant awards and tags

✔ Extract restaurant images

✔ Extract review URLs

✔ Clean structured JSON / CSV / Excel output

✔ No coding required

✔ Fast & scalable cloud execution

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🎯 What This Scraper Does

This Apify Actor extracts structured restaurant information directly from Tabelog listing and search-result pages.

📌 Core Features

🍣 Restaurant Listing Extraction

🔍 Tabelog Search Result Scraping

📍 Area & Location Search

🔗 Bulk URL Processing

📄 Automatic Pagination

⭐ Rating & Review Extraction

💴 Lunch & Dinner Price Extraction

🚉 Station & Distance Extraction

🏆 Award Extraction

🏷️ Restaurant Tags Extraction

🖼️ Restaurant Image Extraction

🔎 Review URL Extraction

🇯🇵 Japan-focused Residential Proxy Support

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⚡ Input Configuration

🔥 BULK TABELOG URL MODE

Provide one or multiple Tabelog listing or search-result URLs.

{
  "urls": [
    "https://tabelog.com/en/tokyo/",
    "https://tabelog.com/en/osaka/",
    "https://tabelog.com/en/rstLst/?utf8=%E2%9C%93&pal=kyoto&LstPrf=A2601&LstAre=&station_id=&area_datatype=Area1&area_id=Kyoto&genre_name=&sw=&search_mode=&svd=20260812&svt=1900&svps=2&vac_net=1"
  ],
  "maxItemsPerUrl": 50
}

Each URL is processed independently.

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📄 Supported Tabelog URLs

The scraper supports different types of Tabelog English-site listing URLs.

🌆 Area Pages

https://tabelog.com/en/tokyo/

🍜 City / Area Listings

https://tabelog.com/en/osaka/

🔎 Search Result Pages

https://tabelog.com/en/rstLst/?pal=kyoto&LstPrf=A2601

📅 Reservation Search URLs

Search URLs containing reservation parameters such as:

svd=20260812
svt=1900
svps=2
vac_net=1

📄 Already-Paginated URLs

https://tabelog.com/en/kyoto/A2601/rstLst/2/

The Actor automatically follows numbered pagination such as:

/rstLst/2/
/rstLst/3/
/rstLst/4/

until the configured maximum number of restaurants is reached or no more results are available.

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🎛️ Maximum Items Per URL

Use maxItemsPerUrl to control the number of restaurant listings collected from each URL.

{
  "maxItemsPerUrl": 100
}

For example, with 3 URLs and maxItemsPerUrl: 50, the Actor can collect up to approximately 50 restaurants per URL.

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📊 Extracted Restaurant Data

Field	Description
source	Data source
sourceUrl	Original input URL
pageUrl	URL of the scraped page
pageNumber	Pagination page number
rstId	Tabelog restaurant ID
rank	Restaurant ranking
name	Restaurant name
detailUrl	Restaurant listing URL
award	Restaurant award
station	Nearest station
distanceMeters	Distance from station in meters
genres	Restaurant genres
prTitle	Restaurant PR blurb
ratingValue	Numeric restaurant rating
ratingLabel	Rating label
reviewCount	Number of reviews
reviewUrl	Restaurant reviews URL
dinnerPriceRange	Dinner price range
dinnerPriceMin	Minimum dinner price
dinnerPriceMax	Maximum dinner price
lunchPriceRange	Lunch price range
lunchPriceMin	Minimum lunch price
lunchPriceMax	Maximum lunch price
holiday	Restaurant closed days
tags	Restaurant tags
imageUrl	Restaurant image URL

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🍽️ Example Output

{
  "source": "tabelog",
  "sourceUrl": "https://tabelog.com/en/tokyo/",
  "pageUrl": "https://tabelog.com/en/tokyo/rstLst/",
  "pageNumber": 1,
  "rstId": "13000001",
  "rank": 1,
  "name": "Example Sushi Restaurant",
  "detailUrl": "https://tabelog.com/en/tokyo/A1301/A130101/13000001/",
  "award": "Tabelog Award",
  "station": "Tokyo Station",
  "distanceMeters": 250,
  "genres": "Sushi, Japanese",
  "prTitle": "Authentic Japanese sushi in Tokyo.",
  "ratingValue": 4.2,
  "ratingLabel": "Very Good",
  "reviewCount": 1250,
  "reviewUrl": "https://tabelog.com/en/tokyo/A1301/A130101/13000001/dtlrvwlst/",
  "dinnerPriceRange": "¥5,000 - ¥9,999",
  "dinnerPriceMin": 5000,
  "dinnerPriceMax": 9999,
  "lunchPriceRange": "¥1,000 - ¥1,999",
  "lunchPriceMin": 1000,
  "lunchPriceMax": 1999,
  "holiday": "Sunday",
  "tags": "Popular, Reservation Recommended",
  "imageUrl": "https://example.com/restaurant.jpg"
}

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📊 Dataset Views

The Actor includes multiple preconfigured dataset views for easier analysis.

📋 Overview

The Overview view provides the main restaurant information:

• Rank
• Name
• Genres
• Nearest Station
• Distance
• Rating
• Rating Label
• Reviews
• Dinner Price
• Lunch Price
• Restaurant Listing

Perfect for quick restaurant research and comparison.

📑 Detailed Listings

The Detailed Listings view provides the complete extracted dataset, including:

• Source information
• Pagination data
• Restaurant ID
• Restaurant details
• Awards
• Location information
• Ratings
• Reviews
• Pricing
• Holidays
• Tags
• Images

🔗 By Source URL

The By Source URL view makes it easy to analyze restaurants grouped by their original input URL.

Perfect for:

📊 Bulk URL analysis

🔍 Search comparison

📈 Area comparison

📋 Dataset organization

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💡 Use Cases

This Tabelog scraper is ideal for:

🍣 Restaurant Research

🇯🇵 Japan Food Market Intelligence

📍 Location Intelligence

🏆 Restaurant Ranking Analysis

⭐ Restaurant Reputation Monitoring

💴 Restaurant Price Analysis

🍜 Food & Dining Market Research

🏢 Restaurant Competitor Analysis

✈️ Tourism Research

📊 Hospitality Market Intelligence

🔎 Restaurant Discovery

🤖 AI Training Datasets

📈 Business Intelligence

⚙️ Automated Data Pipelines

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🚀 Key Features

⚡ Bulk URL Scraping

🍣 Restaurant Listing Extraction

🇯🇵 Japan-focused Scraping

📄 Automatic Pagination

🔎 Search Result Extraction

📅 Reservation Search Support

⭐ Ratings & Reviews

💴 Lunch & Dinner Prices

🚉 Station & Distance Data

🏆 Awards & Tags

🖼️ Restaurant Images

🔗 Review & Listing URLs

📊 Multiple Dataset Views

🔁 Scalable Cloud Execution

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🌐 Proxy Configuration

Because Tabelog is a Japan-focused website, the Actor is configured to support Japanese residential proxies.

Default configuration:

{
  "useApifyProxy": true,
  "apifyProxyGroups": [
    "RESIDENTIAL"
  ],
  "apifyProxyCountry": "JP"
}

Using a Japan-based residential proxy can improve scraping reliability when accessing Tabelog pages.

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📤 Output Formats

Export your Tabelog restaurant dataset through Apify in:

✔ JSON

✔ CSV

✔ Excel / XLSX

✔ XML

✔ HTML

✔ RSS

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🔥 Why Use This Tabelog Scraper?

✔ Built specifically for Tabelog restaurant listings

✔ Supports bulk restaurant URL scraping

✔ Automatic pagination

✔ Reservation-search URL support

✔ Detailed restaurant information

✔ Ratings and review data

✔ Lunch and dinner pricing

✔ Location and station information

✔ Multiple dataset views

✔ Japan residential proxy support

✔ No coding required

✔ Ready for automation workflows

✔ Ideal for large-scale restaurant research

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💸 Pricing

This scraper runs on a pay-per-result pricing model.

You only pay for successfully extracted restaurant records.

💳 Price: $0.99 / 1,000 results

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❓ FAQ

Can I scrape multiple Tabelog URLs at once?

Yes. Add multiple URLs to the urls input field. Each URL is processed independently.

Does the scraper support pagination?

Yes. The Actor automatically follows numbered Tabelog pagination pages until the maximum number of restaurants is reached or no more results are available.

Can I scrape Tokyo and Osaka in the same run?

Yes. Simply provide both URLs in the urls list.

Does it support Kyoto search URLs?

Yes. The Actor supports Tabelog search URLs containing area, date, time, party-size and reservation parameters.

Can I scrape reservation search results?

Yes. Tabelog reservation-search URLs with parameters such as date, time and party size are supported.

Can I limit the number of restaurants?

Yes. Use maxItemsPerUrl to define the maximum number of restaurant cards collected per input URL.

What restaurant information is extracted?

The scraper can extract restaurant names, rankings, genres, ratings, review counts, prices, stations, distances, awards, tags, images and listing URLs.

Does the scraper support Japan proxies?

Yes. The default configuration uses Apify Residential proxies with Japan (JP) as the proxy country.

Is coding required?

No. This is a fully no-code Apify Actor.

Can I export the data?

Yes. Apify supports JSON, CSV, Excel and other dataset export formats.

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⚠️ Disclaimer

This tool is an independent scraper and is not affiliated with, endorsed by, or sponsored by Tabelog.

Tabelog and all related trademarks belong to their respective owners.

Users are responsible for complying with Tabelog's terms of service, applicable laws and regulations when using this tool.

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🔗 Related Actors — PrimeScrape Ecosystem

We are building a complete PrimeScrape Restaurant & Local Business Intelligence Suite.

🚀 More restaurant, food, travel, business directory and location intelligence scrapers coming soon.

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🌍 PrimeScrape Ecosystem

Built for modern data extraction and automation workflows.

🍣 Restaurant Intelligence

🏨 Hospitality Intelligence

📍 Location Intelligence

✈️ Travel Research

📊 Market Research

🧲 Lead Generation

🤖 AI Training Datasets

📈 Business Intelligence

⚙️ Automation Pipelines

🌍 Large-Scale Data Collection

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📬 Support

⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper.

📩 Need custom scraping solutions, enterprise integrations, bulk datasets or dedicated extraction workflows?

Contact PrimeScrape directly through Apify.