Market researchers
Area scans
Favorable to scraping
Build a first-pass map of restaurants in a target Japanese area, then group rows by genre before deeper qualification.
Restaurant Directory$50Free
Tabelog Store Listings Scraper by Area
The Tabelog store listings scraper by area exports selected Tabelog restaurant detail pages into a clean CSV for Japanese restaurant research. Import the workflow into the UScraper local desktop app, expand the area URL list, and collect area, genre, store name, and page URL fields without writing browser automation code.
Output
CSV
Columns
4
Input
8 detail URLs
Waits
Load + h1
Template
Free import
At a glance
Export Tabelog restaurants by area
This template is built for area-focused restaurant lists where you already have, or can prepare, a set of Tabelog detail URLs. Instead of trying to crawl every listing page, the Navigate block opens each configured restaurant page, waits for the page to finish loading, confirms a visible heading, and sends the rendered body into Structured Export.
Area records become spreadsheet rows
Each Tabelog URL produces a compact Tabelog to CSV row with the area breadcrumb, primary genre, store name, and source page URL for review in Excel, Sheets, Airtable, or a BI workflow.
Multi-URL loop is already wired
Replace or extend the eight bundled restaurant URLs to cover a ward, station area, city segment, or competitor set without rebuilding the automation graph.
Runs in the local desktop app
The browser run and CSV export stay in your configured local workflow unless you add your own sync, upload, or sharing step.
Focused output for quick QA
Four columns keep the file easy to check before you pass restaurant URLs into a richer detail scraper or manual enrichment process.
Who this is for
Tabelog restaurant listing use cases
Hospitality operators
Competitor review
Favorable to scraping
Export Tabelog restaurants around a station, ward, or city cluster and compare the store list with internal territory notes.
Data teams
URL queues
Nuanced outcome
Use this lightweight listing export to prepare a verified URL queue before running richer restaurant detail workflows.
For broader Japanese dining research, pair this workflow with the Tabelog Restaurant Scraper for Store Details, Gurunavi Restaurant Scraper, and Hot Pepper Restaurant Listing Scraper. Browse the UScraper template library when you need sibling local-directory or search workflows.
How to use
Download, configure, and run the Tabelog area scraper
2
Edit the area URL list
Open the Navigate block and replace, remove, or expand the bundled Tabelog restaurant detail URLs. Keep the first test run small so you can confirm the output shape.
3
Confirm the export path
Structured Export writes tabelog-store-listings-by-area-scraper.csv to the configured save folder with headers and append mode enabled.
4
Run the browser loop
The workflow follows Set Window Size - Navigate - Wait for Page Load - Wait for Element - Structured Export - Loop Continue. The heading wait helps avoid exporting before the restaurant page is ready.
5
Open and QA the CSV
Check row counts, spot-check a few source URLs, and confirm area, genre, and store-name values before using the file downstream.
Output preview
What the Tabelog CSV export includes
tabelog-store-listings-by-area-scraper.csvColumn
area
Area value inferred from Tabelog breadcrumb text, such as an Ehime city or sub-area.
Column
genre
Primary restaurant genre parsed from the page heading or genre table row.
Column
store_name
Visible store name from the restaurant page heading.
Column
page_url
The current Tabelog restaurant detail URL for traceability.
Sample rows
2 of many
| area | genre | store_name | page_url |
|---|---|---|---|
| Ehime | Izakaya | Matsuyama Dining Sample | |
| Ehime | Ramen | Uwajima Noodle Example |
Headers included - one configured Tabelog restaurant URL appends one row - sample values are illustrative
| Field group | Columns included | Why it matters |
|---|---|---|
| Location context | area | Groups restaurants by the breadcrumb area captured from Tabelog. |
| Restaurant identity | store_name, page_url | Keeps a human-readable name and source URL for QA. |
| Category review | genre | Supports quick segmentation by cuisine or store type. |
FAQ
Frequently asked questions
Tabelog pages may be publicly visible and still governed by Tabelog terms, robots directives, copyright, database rights, privacy law, and local regulations. Use conservative pacing, avoid bypassing access controls, and get legal review before commercial redistribution, resale, or model training.
Before you run
Limits, maintenance, and compliance notes
Guardrails for reliable Tabelog scraping
Rate limits
Large batches can trigger checks
Keep runs modest, avoid aggressive parallelism, and pause when Tabelog returns CAPTCHA, verification, or unusual response pages.
Layout drift
Selectors may need maintenance
The export uses page breadcrumbs, headings, and genre labels. Empty areas or genres usually mean the page layout changed or the restaurant page did not fully render.
Policy
Review source rules before reuse
Check Tabelog terms of use and robots.txt, keep request volume conservative, and avoid uses that require 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
Open-source templates
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