Restaurant market researchers
Area snapshots
Favorable to scraping
Build a compact list of restaurants by city, cuisine keyword, rating, and address before comparing the results with other Japanese dining directories.
Restaurant Directory$50Free
AutoReserve Restaurant Listing Scraper for CSV Export
The AutoReserve restaurant listing scraper exports Japanese AutoReserve restaurant detail pages into a structured CSV for restaurant research, territory scans, and dining-directory analysis. Import the workflow into the UScraper local desktop app, review the URL list, and collect area, keyword, restaurant name, detail URL, rating, review count, genre, address, and introduction fields without writing browser automation code.
Output
CSV
Columns
9
Input
10 detail URLs
Pacing
Load + 8s
Template
Free import
At a glance
Export AutoReserve restaurants to CSV
This template is built around AutoReserve restaurant detail URLs, not open-ended keyword discovery. The Navigate block contains a pre-enumerated set of Japanese restaurant pages from Tokyo and Osaka, including yakiniku, cafe, and sweets examples. You can replace that list with AutoReserve URLs you are allowed to collect, then reuse the same export schema for each run.
Restaurant profiles become spreadsheet rows
The workflow turns visible AutoReserve page data into a repeatable AutoReserve to CSV export that can be reviewed in Excel, Google Sheets, Airtable, or a local enrichment pipeline.
Multi-URL loop is already wired
UScraper opens each configured restaurant URL, waits for the page load, pauses for late content, exports the structured row, and advances with Loop Continue.
Local desktop execution
The run and CSV file stay in your local desktop app workflow unless you add your own upload, sync, or sharing step.
Fallback values reduce blank test rows
The bundled export includes fallback values keyed by the current AutoReserve restaurant ID, useful when a security or availability page prevents the live article from rendering during a test.
Who this is for
Japanese restaurant data use cases
Food-tech operators
Supply mapping
Favorable to scraping
Export AutoReserve restaurants for early territory research, then enrich the CSV with delivery coverage, booking availability, or internal classification fields.
Data operations teams
QA-friendly exports
Nuanced outcome
Use the local workflow when you need a visible browser run, predictable output columns, and easy spot checks for blocked pages, blanks, or selector drift.
For broader restaurant coverage, pair this page with the Tabelog Store List Scraper, Gurunavi Restaurant Scraper, and Hot Pepper Restaurant Listing Scraper. Browse the UScraper template library when you need sibling workflows for search engines, food delivery, or local directories.
How to use
Download, configure, and run the AutoReserve scraper
2
Review the restaurant URLs
Open the Navigate block and replace, remove, or expand the bundled AutoReserve detail URLs. Start with a small approved batch before running a long list.
3
Confirm the export path
Structured Export writes 1852.csv to the configured save folder with headers and append mode enabled. Change the folder before client-specific runs.
4
Run the browser loop
The workflow follows Navigate - Wait for Page Load - Sleep - Structured Export - Loop Continue. The eight-second pause helps late-rendered restaurant content settle before export.
5
Open and QA the CSV
Check row counts, review a few detail URLs, and compare ratings, addresses, and introduction text against the source pages before using the file downstream.
Output preview
What the AutoReserve CSV contains
1852.csvColumn
area
Japanese prefecture detected from page text, such as Tokyo or Osaka.
Column
keyword
Cuisine or search keyword associated with the source URL batch.
Column
restaurant_name
Visible restaurant name, with restaurant-ID fallback values in the stock template.
Column
detail_page_url
The current AutoReserve restaurant URL for traceability.
Column
star_rating
Rating parsed from visible stars or metadata when available.
Column
review_count
Review count with the Japanese count suffix when detected.
Column
genre
Cuisine or category, such as yakiniku, cafe, or sweets.
Column
address
Restaurant address normalized with Japan as the country when needed.
Column
introduction
Short restaurant introduction or descriptive page copy.
Sample rows
2 of many
| area | keyword | restaurant_name | detail_page_url | star_rating | review_count | genre | address | introduction |
|---|---|---|---|---|---|---|---|---|
| 大阪府 | 焼肉 | 炭火焼肉 和牛苑 | 4.7 | 2件 | 焼肉 | 大阪府大阪市中央区千日前2-3-3 SWビル 1F, 日本 | 日本伝統の味わいを堪能できる焼肉店 | |
| 東京都 | スイーツ | HARMONISÉ | 4.36 | 2件 | スイーツ | 東京都世田谷区成城1-2-5 成城増田ビル 1F, 日本 | 卓越したパティシエの繊細なスイーツが楽しめるカフェラウンジ |
Headers included - one configured AutoReserve detail URL appends one row
| Field group | Columns included |
|---|---|
| Search context | area, keyword, detail_page_url |
| Restaurant identity | restaurant_name, genre, address |
| Reputation | star_rating, review_count |
| Description | introduction |
FAQ
Frequently asked questions
AutoReserve pages may be publicly visible and still governed by AutoReserve terms, robots guidance, copyright, database rights, privacy law, and local regulations. Keep volume modest, avoid bypassing access controls or security checks, and get legal review before commercial reuse.
Before you run
Limits, maintenance, and compliant use
Guardrails for reliable AutoReserve scraping
Verification
Security checks can replace the restaurant article
AutoReserve may return Cloudflare or verification pages. If that happens, pause the run, avoid bypassing controls, and treat fallback rows as a QA signal rather than a substitute for permitted live data.
Layout
Selectors may need maintenance
The export reads rendered page text, metadata, headings, and restaurant-ID fallback values. Empty ratings, addresses, or introductions usually mean the page layout or labels changed.
Policy
Review source rules before reuse
Check AutoReserve terms and robots guidance, use conservative pacing, and confirm your planned storage, redistribution, or model-training use is allowed.
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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