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Hot Pepper Restaurant Listing Scraper

The Hot Pepper restaurant listing scraper turns Hot Pepper Gourmet restaurant detail pages into a structured CSV. Import the template, replace the sample restaurant URLs with your own Hot Pepper detail URLs, and export prefecture, area, genre, shop name, budgets, address, access notes, payment indicators, points availability, image URL, shop ID, and source URL from the local desktop app.

Output

CSV

Columns

15

Input

Detail URLs

Source

Hot Pepper

Runtime

Local

At a glance

Export Hot Pepper restaurants to CSV

Build a restaurant spreadsheet

Export Hot Pepper restaurants with consistent columns for location, cuisine, budget, access, and URL fields that can be opened in Excel, Google Sheets, Airtable, or a BI workflow.

Run a controlled multi-URL loop

The template starts from restaurant detail URLs in the Navigate block, processes each page, and uses Loop Continue to move through the list without rebuilding the export step.

Keep the run in a local desktop app

UScraper drives the browser and writes the CSV on your machine, which is useful when you want custody over source URLs, pacing, and downloaded restaurant rows.

Adapt it to listing discovery

If you want keyword or area search first, add a discovery step that collects Hot Pepper detail URLs, then feed those URLs into this same detail-page export loop.

Who uses it

Built for restaurant market research and location datasets

Food-tech teams

Supply mapping

Favorable to scraping

Collect shop names, areas, genres, lunch budgets, dinner budgets, and source URLs for territory scans before enriching the data with reviews, delivery coverage, or menu availability.

Hospitality analysts

Competitive tracking

Favorable to scraping

Compare restaurant density and budget bands across Japanese areas, then pair the file with the Tabelog Store List Scraper for a broader local dining view.


How to use

Download, configure, and run the Hot Pepper scraper

1

Download and import

Download the free JSON template from this page, then import it into UScraper from the template library or project import flow.

2

Replace the sample URLs

Open the Navigate block and paste the Hot Pepper restaurant detail URLs you want to process. The bundled sample uses three https://www.hotpepper.jp/strJ... pages.

3

Confirm the export folder

Set the Structured Export save location and keep append mode enabled if you want all restaurant pages written into one CSV file.

4

Run the browser flow

The automation sets a wide viewport, navigates to a restaurant page, waits for the page load, and waits until the h1 shop heading is visible.

5

Open the CSV

Structured Export writes the selected fields with headers, then Loop Continue advances to the next input URL until the URL list is finished.

Output preview

What the CSV export contains

hot-pepper-restaurant-listing-scraper.csv
CSV

Column

prefecture

Breadcrumb prefecture, such as Tokyo or Osaka.

Column

major_area

Top-level area from the Hot Pepper breadcrumb.

Column

sub_area

More specific area or neighborhood.

Column

shop_genre

Restaurant genre parsed from the page text.

Column

shop_name

Visible restaurant name from the page heading.

Column

short_description

Condensed page description or recommendation text.

Column

card_ok

Card payment indicator when the page exposes one.

Column

lunch_budget

Lunch budget range in yen.

Column

dinner_budget

Dinner budget range in yen.

Column

address

Restaurant street address.

Column

access

Station, route, or local access instructions.

Column

points_usable

Hot Pepper points availability cue.

Column

main_image_url

Main image URL from Open Graph metadata.

Column

hotpepper_shop_id

Shop ID parsed from the URL, such as strJ001161538.

Column

restaurant_url

Canonical restaurant detail URL without query parameters.

Sample rows

2 of many

prefecturemajor_areasub_areashop_genreshop_nameshort_descriptioncard_oklunch_budgetdinner_budgetaddressaccesspoints_usablemain_image_urlhotpepper_shop_idrestaurant_url
TokyoShinjukuShinjuku EastIzakayaSample Dining ShinjukuCasual restaurant near the station with course menus.カードOK1000円3500円Tokyo-to Shinjuku-ku 1-2-33 minutes from Shinjuku Stationポイントつかえる...strJ001161538
OsakaUmedaKitaYakinikuSample Grill UmedaGrill restaurant with private-room availability.カードOK1500円5000円Osaka-shi Kita-ku 4-5-6Near Umeda Station exit...strJ001267311
Example rows are illustrative; actual values come from the rendered Hot Pepper restaurant pages.

FAQ

Frequently asked questions

Before you run

Practical limits and maintenance notes

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

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]