Restaurant researchers
Store profiles
Favorable to scraping
Collect address, transport, hours, holidays, budget, phone, and service notes for a curated group of restaurants before manual review.
Restaurant Directory$50Free
Tabelog Details Scraper for Restaurant CSV Export
The Tabelog Details Scraper exports restaurant detail-style fields from a URL list into a structured CSV for market research, menu checks, and competitor review. Import the workflow into the UScraper local desktop app, replace the sample URLs with pages you are allowed to collect, and export names, address, access notes, hours, budget, payment, seats, smoking, parking, phone, dishes, homepage, and remarks without writing browser automation code.
Output
CSV
Columns
29
Input
URL list
Waits
Load + body
Template
Free import
At a glance
Export Tabelog restaurant details to CSV
Restaurant pages become spreadsheet rows
Each loaded URL appends one row to tabelog-details-scraper.csv, giving analysts a repeatable Tabelog to CSV workflow for restaurant identity, contact, hours, amenities, and menu-style fields.
Multi-URL batches are already wired
Add approved Tabelog restaurant pages or related restaurant URLs to the Navigate block. Loop Continue advances through the list after each Structured Export.
Local desktop execution
The default workflow writes the CSV to your configured save folder. It does not send extracted rows through a hosted scraping actor unless you add a separate upload step.
Best-effort detail coverage
The schema includes broad restaurant-detail columns, with blank placeholders for fields that are missing from a specific page or not exposed by the current layout.
Who this helps
Tabelog restaurant data use cases
Hospitality teams
Competitor checks
Favorable to scraping
Compare amenities such as seats, private rooms, smoking, parking, children policy, courses, and dishes across nearby restaurants.
Data operators
URL enrichment
Nuanced outcome
Use this detail workflow after a discovery pass from the Tabelog Store List Scraper, Tabelog Store Listings Scraper by Area, or Tabelog Restaurant Scraper for Store Details.
How to use
Download, configure, and run the Tabelog details scraper
2
Replace the sample URLs
Open the Navigate block and add the Tabelog or restaurant detail pages you are allowed to process. Start with a small list so you can verify the output.
3
Confirm the export path
Structured Export writes tabelog-details-scraper.csv with headers enabled and append mode on. Change the folder before client-specific runs.
4
Run the browser loop
UScraper follows Navigate - Wait for Page Load - Wait for Element - Sleep - Structured Export - Loop Continue for each URL.
5
Open and audit the CSV
Spot-check source URLs against the exported row values, especially blank rating, opening-day, or first-reviewer fields.
Output preview
What the CSV export includes
tabelog-details-scraper.csvColumn
source_url
Current page URL for traceability.
Column
store_name
Restaurant or site name from heading, metadata, or title fallback.
Column
rating
Reserved for Tabelog rating when available in the adapted source page.
Column
address
Address text parsed from detail labels or visible page copy.
Column
transportation
Access notes, nearest station, or route guidance when present.
Column
operating_hours
Opening-hour text cleaned into one cell.
Column
budget
Average budget or visible price guidance.
Column
tel
Telephone link or phone-like text from the page.
Column
dishes
Menu items or dishes captured from supported layouts.
Column
remarks
Meta description or page summary used as notes.
Sample rows
1 of many
| source_url | store_name | rating | address | transportation | operating_hours | budget | tel | dishes | remarks |
|---|---|---|---|---|---|---|---|---|---|
| Ginza Tonkatsu Sample | 3.48 | Tokyo, Chuo-ku Ginza 1-2-3 | 5 min walk from Ginza Station | 11:30-14:30 / 17:00-22:00 | Dinner JPY 3,000-4,999 | 03-0000-0000 | Tonkatsu set | seasonal course | Casual pork cutlet restaurant near the station. |
Headers included - one loaded URL appends one row - sample values are illustrative
| Field group | Columns in the workflow |
|---|---|
| Source and identity | source_url, store_name, the_homepage, remarks |
| Tabelog-style profile | rating, the_opening_day, first_reviewers, occasion, location |
| Access and schedule | address, transportation, operating_hours, shop_holidays, tel |
| Commercial details | budget, method_of_payment, table_money, course, drink, dishes |
| Facilities and policy | number_of_seats, private_dining_room, private_use, no_smoking_or_smoking, parking_lot, space_and_facilities, service, with_children |
FAQ
Frequently asked questions
Tabelog pages and linked restaurant pages may be publicly viewable and still governed by terms, robots directives, copyright, database rights, privacy law, and local regulations. Keep runs modest, avoid bypassing access controls, and get legal review before commercial redistribution or resale.
Before you run
Limits, selector drift, and compliance
Guardrails for reliable restaurant detail exports
Rate limits
Large batches need conservative pacing
Avoid aggressive parallel runs, add longer waits when pages slow down, and pause if Tabelog or a restaurant site returns verification or unusual response pages.
Layout drift
Blank fields usually mean selectors need review
The workflow uses custom export columns tuned to the supplied pages. Empty rating, payment, menu, or review fields may mean the source layout changed or the page never exposed that data.
Policy
Review source rules before commercial use
Check Tabelog rules and robots.txt, document your allowed use case, and avoid collection that requires licensed access.
Get Started
Download and use this template instantly
$50Free
What's Included
- Template JSON file ready to import
- Pre-configured scraping nodes
- Works with UScraper desktop app
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