Food-tech and delivery teams
Supply mapping
Favorable to scraping
Collect location, cuisine type, contact, hours, budget, and takeout fields before comparing restaurant coverage across neighborhoods or delivery zones.
Restaurant Directory$50Free
Gurunavi Restaurant Scraper
The Gurunavi Restaurant Scraper turns Rakuten Gurunavi restaurant detail pages into a structured CSV. Import the template, replace the sample restaurant URLs with your own Gurunavi links, and export shop names, phone numbers, addresses, access notes, opening hours, holidays, budgets, credit card signals, seating, menu services, takeout cues, and source URLs from the local desktop app.
Output
CSV
Columns
15
Input mode
Detail URLs
Waits
30s load
Template
Free
At a glance
Export Gurunavi restaurants to CSV
This template is built for restaurant detail pages, not broad keyword search by itself. Start with known Gurunavi restaurant URLs, or collect URLs from Gurunavi search results first, then paste them into the Navigate block. The workflow is especially useful when you want a controlled Gurunavi to CSV export for Japanese restaurant research, local directory enrichment, territory scans, or competitive monitoring.
Build a restaurant spreadsheet
Export consistent restaurant fields for location, category, contact details, access, hours, budget, seating, takeout, and traceable source URLs.
Process many detail URLs
The Navigate block holds multiple restaurant URLs and Loop Continue advances the run after each valid page, so every profile appends under the same headers.
Keep the run local
UScraper drives the browser and writes the CSV on your machine, which is useful when you want control over input URLs, pacing, and exported files.
Extend it with discovery
To scrape Gurunavi by area, cuisine, review angle, or delivery availability, add a separate URL collection step and feed the detail links into this exporter.
Who it is for
Built for restaurant market research and local datasets
Hospitality analysts
Competitive research
Favorable to scraping
Export Gurunavi restaurants beside the Tabelog Store List Scraper and Hot Pepper Restaurant Listing Scraper to compare Japanese dining directories.
Data operations teams
CSV production
Nuanced outcome
Use a visible workflow when you need a repeatable export, but still want to inspect blanks caused by redirects, unavailable pages, or Gurunavi layout changes.
How to use
Scrape Gurunavi restaurant pages in five steps
2
Replace the sample URLs
Open the Navigate block and paste the Gurunavi restaurant detail URLs you want to process. Keep a small test batch before expanding the list.
3
Review the CSV path
Confirm the Structured Export block writes to gurunavi-shop-restaurant-scraper.csv in your preferred folder and keeps headers enabled.
4
Run the browser flow
The workflow navigates, waits for the page load, waits for the body, checks for restaurant information text, and exports only the pages that pass the check.
5
Open and QA the output
Open the CSV in Excel, Google Sheets, Airtable, or a cleanup pipeline. Spot-check phone, address, hours, budget, and seating fields before scaling.
Use direct restaurant URLs from Gurunavi search, bookmarks, partner lists, or a prior discovery workflow. The template does not require a login in its default form.
Output preview
What the Gurunavi CSV contains
gurunavi-shop-restaurant-scraper.csvColumn
location
Breadcrumb-derived area, such as Tokyo Ginza or Osaka Umeda.
Column
type
Restaurant category parsed from the page title when available.
Column
page_number
Static page marker used by the source workflow.
Column
shop_name
Restaurant name from the visible page heading.
Column
phone_number
Phone number from the restaurant information section.
Column
address
Street address or building text displayed on the profile.
Column
access
Nearest station, route, walking time, or access notes.
Column
business_hours
Opening hours copied from the restaurant detail page.
Column
regular_holiday
Regular closing day or holiday text.
Column
budget
Average budget information when Gurunavi exposes it.
Column
credit_card
Credit card acceptance labels from the page.
Column
total_seats
Total seat count or seating description.
Column
menu_service
Menu services and related dining service notes.
Column
takeout
Takeout or doggy-bag cues when present.
Column
shop_url
Final restaurant detail URL for traceability.
Sample rows
2 of many
| location | type | page_number | shop_name | phone_number | address | access | business_hours | regular_holiday | budget | credit_card | total_seats | menu_service | takeout | shop_url |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tokyo Ginza | Izakaya | 1 | Sample Dining Ginza | 03-0000-0000 | Tokyo-to Chuo-ku Ginza 1-2-3 | 3 minutes from Ginza Station | Lunch 11:30-14:30 Dinner 17:00-22:30 | Sunday | Lunch 1200 yen Dinner 4500 yen | VISA MasterCard JCB | 48 seats | Course menu, all-you-can-drink | Takeout available | |
| Osaka Umeda | Yakiniku | 1 | Sample Grill Umeda | 06-0000-0000 | Osaka-shi Kita-ku 4-5-6 | Near Umeda Station exit | 17:00-23:00 | Irregular holidays | Dinner 5000 yen | VISA AMEX | 32 seats | Private room, banquet menu |
Headers included - one valid restaurant detail URL appends one row
| Field group | Columns included |
|---|---|
| Identity | shop_name, type, shop_url, page_number |
| Location and access | location, address, access |
| Operations | business_hours, regular_holiday, budget, total_seats |
| Services | credit_card, menu_service, takeout, phone_number |
FAQ
Frequently asked questions
Public restaurant pages can still be governed by Rakuten Gurunavi terms, robots guidance, copyright, database rights, privacy law, and local regulations. Use modest pacing, do not bypass access controls or verification, and get legal review before commercial reuse.
Before you run
Limits, maintenance, and compliant use
Guardrails worth checking before a large batch
Scope
This template expects restaurant detail URLs
It does not discover every Gurunavi listing by keyword on its own. Build or import a URL list first, then let this scraper export one row per valid restaurant page.
Drift
Gurunavi labels and layouts can change
The export reads rendered page text, breadcrumbs, the page heading, and restaurant information labels. If a redesign creates blanks, update the affected Structured Export columns.
Policy
Use official routes for approved platform data
Browser scraping is useful for accessible page research. For contractual or high-volume use, evaluate Rakuten Gurunavi's official API and platform terms.
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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