# Tabelog Scraper - Low-costπŸ’²πŸ”₯πŸ£πŸ”Ž (`delectable_incubator/tabelog-scraper-low-cost`) Actor 🍣 Extract restaurant listings from Tabelog with ease. Collect restaurant names, rankings, genres, ratings, nearest stations, distances, lunch & dinner prices, awards, images, and listing URLs. Ideal for Japan restaurant research, food market intelligence, price monitoring & restaurant datasets πŸ‡―πŸ‡΅ - **URL**: https://apify.com/delectable\_incubator/tabelog-scraper-low-cost.md - **Developed by:** [Prime Scrape](https://apify.com/delectable_incubator) (community) - **Categories:** Travel, Lead generation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $0.00005 / actor start This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. - **AI agents and MCP clients** β€” the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** β€” [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** β€” the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** β€” the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** β€” the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README

Tabelog List Scraper

*** ## 🍣 Tabelog List Scraper | Bulk Restaurant Search Scraper Japan | Apify Actor πŸ‡―πŸ‡΅ ### πŸš€ 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**. *** ### πŸ”₯ Why This Tabelog Scraper? βœ” Scrape Tabelog restaurant listings βœ” Supports **bulk URL scraping** βœ” Process multiple Tabelog URLs in one run βœ” Supports Tokyo, Osaka, Kyoto and other Japanese areas βœ” Automatic pagination βœ” Supports reservation-search URLs βœ” Extract restaurant rankings βœ” Extract ratings and review counts βœ” Extract restaurant genres βœ” Extract nearest stations and distances βœ” Extract lunch and dinner price ranges βœ” Extract restaurant awards and tags βœ” Extract restaurant images βœ” Extract review URLs βœ” Clean structured JSON / CSV / Excel output βœ” No coding required βœ” Fast & scalable cloud execution *** ### 🎯 What This Scraper Does This Apify Actor extracts structured restaurant information directly from Tabelog listing and search-result pages. #### πŸ“Œ Core Features 🍣 **Restaurant Listing Extraction** πŸ” **Tabelog Search Result Scraping** πŸ“ **Area & Location Search** πŸ”— **Bulk URL Processing** πŸ“„ **Automatic Pagination** ⭐ **Rating & Review Extraction** πŸ’΄ **Lunch & Dinner Price Extraction** πŸš‰ **Station & Distance Extraction** πŸ† **Award Extraction** 🏷️ **Restaurant Tags Extraction** πŸ–ΌοΈ **Restaurant Image Extraction** πŸ”Ž **Review URL Extraction** πŸ‡―πŸ‡΅ **Japan-focused Residential Proxy Support** *** ### ⚑ Input Configuration #### πŸ”₯ 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. *** ### πŸ“„ Supported Tabelog URLs The scraper supports different types of Tabelog English-site listing URLs. #### πŸŒ† Area Pages ``` https://tabelog.com/en/tokyo/ ``` #### 🍜 City / Area Listings ``` https://tabelog.com/en/osaka/ ``` #### πŸ”Ž Search Result Pages ``` https://tabelog.com/en/rstLst/?pal=kyoto&LstPrf=A2601 ``` #### πŸ“… Reservation Search URLs Search URLs containing reservation parameters such as: ``` svd=20260812 svt=1900 svps=2 vac_net=1 ``` #### πŸ“„ 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. *** ### πŸŽ›οΈ 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**. *** ### πŸ“Š 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 | *** ### 🍽️ 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": "Β₯5,000 - Β₯9,999", "dinnerPriceMin": 5000, "dinnerPriceMax": 9999, "lunchPriceRange": "Β₯1,000 - Β₯1,999", "lunchPriceMin": 1000, "lunchPriceMax": 1999, "holiday": "Sunday", "tags": "Popular, Reservation Recommended", "imageUrl": "https://example.com/restaurant.jpg" } ``` *** ### πŸ“Š Dataset Views The Actor includes multiple preconfigured dataset views for easier analysis. #### πŸ“‹ 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. #### πŸ“‘ 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 #### πŸ”— By Source URL The **By Source URL** view makes it easy to analyze restaurants grouped by their original input URL. Perfect for: πŸ“Š Bulk URL analysis πŸ” Search comparison πŸ“ˆ Area comparison πŸ“‹ Dataset organization *** ### πŸ’‘ Use Cases This Tabelog scraper is ideal for: 🍣 **Restaurant Research** πŸ‡―πŸ‡΅ **Japan Food Market Intelligence** πŸ“ **Location Intelligence** πŸ† **Restaurant Ranking Analysis** ⭐ **Restaurant Reputation Monitoring** πŸ’΄ **Restaurant Price Analysis** 🍜 **Food & Dining Market Research** 🏒 **Restaurant Competitor Analysis** ✈️ **Tourism Research** πŸ“Š **Hospitality Market Intelligence** πŸ”Ž **Restaurant Discovery** πŸ€– **AI Training Datasets** πŸ“ˆ **Business Intelligence** βš™οΈ **Automated Data Pipelines** *** ### πŸš€ Key Features ⚑ **Bulk URL Scraping** 🍣 **Restaurant Listing Extraction** πŸ‡―πŸ‡΅ **Japan-focused Scraping** πŸ“„ **Automatic Pagination** πŸ”Ž **Search Result Extraction** πŸ“… **Reservation Search Support** ⭐ **Ratings & Reviews** πŸ’΄ **Lunch & Dinner Prices** πŸš‰ **Station & Distance Data** πŸ† **Awards & Tags** πŸ–ΌοΈ **Restaurant Images** πŸ”— **Review & Listing URLs** πŸ“Š **Multiple Dataset Views** πŸ” **Scalable Cloud Execution** *** ### 🌐 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. *** ### πŸ“€ Output Formats Export your Tabelog restaurant dataset through Apify in: βœ” JSON βœ” CSV βœ” Excel / XLSX βœ” XML βœ” HTML βœ” RSS *** ### πŸ”₯ Why Use This Tabelog Scraper? βœ” Built specifically for Tabelog restaurant listings βœ” Supports bulk restaurant URL scraping βœ” Automatic pagination βœ” Reservation-search URL support βœ” Detailed restaurant information βœ” Ratings and review data βœ” Lunch and dinner pricing βœ” Location and station information βœ” Multiple dataset views βœ” Japan residential proxy support βœ” No coding required βœ” Ready for automation workflows βœ” Ideal for large-scale restaurant research *** ### πŸ’Έ Pricing This scraper runs on a **pay-per-result pricing model**. You only pay for successfully extracted restaurant records. πŸ’³ **Price: $0.99 / 1,000 results** *** ### ❓ 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. *** ### ⚠️ 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. *** ### πŸ”— Related Actors β€” PrimeScrape Ecosystem We are building a complete **PrimeScrape Restaurant & Local Business Intelligence Suite**. πŸš€ More restaurant, food, travel, business directory and location intelligence scrapers coming soon. *** ### 🌍 PrimeScrape Ecosystem Built for modern data extraction and automation workflows. 🍣 **Restaurant Intelligence** 🏨 **Hospitality Intelligence** πŸ“ **Location Intelligence** ✈️ **Travel Research** πŸ“Š **Market Research** 🧲 **Lead Generation** πŸ€– **AI Training Datasets** πŸ“ˆ **Business Intelligence** βš™οΈ **Automation Pipelines** 🌍 **Large-Scale Data Collection** *** ### πŸ“¬ Support ⭐⭐⭐⭐⭐ Leave a review if you enjoy this scraper. πŸ“© Need custom scraping solutions, enterprise integrations, bulk datasets or dedicated extraction workflows? Contact **PrimeScrape** directly through Apify. # Actor input Schema ## `urls` (type: `array`): One or more Tabelog English-site listing URLs to scrape. Supports plain area pages (/en/tokyo/), the search-form endpoint (/en/rstLst/?pal=...\&LstPrf=...), and already-paginated URLs (/en/kyoto/A2601/rstLst/2/...). ## `maxItemsPerUrl` (type: `integer`): Maximum number of restaurant cards to collect for each URL in the bulk list above. ## `proxy` (type: `object`): Residential JP proxy strongly recommended (Tabelog is a Japan-focused site). ## Actor input object example ```json { "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, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "JP" } } ``` # Actor output Schema ## `results` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "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, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "JP" } }; // Run the Actor and wait for it to finish const run = await client.actor("delectable_incubator/tabelog-scraper-low-cost").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "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, "proxy": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "JP", }, } # Run the Actor and wait for it to finish run = client.actor("delectable_incubator/tabelog-scraper-low-cost").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "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, "proxy": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "JP" } }' | apify call delectable_incubator/tabelog-scraper-low-cost --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/tabelog-scraper-low-cost" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/BFGjvAVTgzFPJBxkD/builds/g9raWz7T3vz5p23H8/openapi.json