Tabelog Japan Restaurant Scraper
Pricing
from $9.00 / 1,000 restaurant records
Tabelog Japan Restaurant Scraper
Scrapes Tabelog restaurant listings by city or area code. Returns ratings, reviews, genres, budgets, locations, hours, and photos as flat rows.
Pricing
from $9.00 / 1,000 restaurant records
Rating
0.0
(0)
Developer
ParseForge
Maintained by CommunityActor stats
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8
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Monthly active users
4 days ago
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Tabelog Japan Restaurant Scraper
Scrape Tabelog restaurant data from any city or area in Japan, up to a million restaurants per run. Get ratings, reviews, genres, budgets, locations, hours, and photos in one flat row. No login or API key. Export to CSV, JSON, Excel, or XML.
Tabelog's official API is limited and requires registration. This reads the public restaurant pages directly, filtered by city or area code, and returns each match in one fixed schema. Ideal for market research, travel apps, and food delivery analytics.
| Who uses it | What they scrape Tabelog for |
|---|---|
| Market researchers | Which cuisines and price points dominate a Japanese city |
| Travel app developers | Building a restaurant discovery feature for Japan |
| Food delivery analysts | Mapping restaurant density and ratings by area |
| Location intelligence teams | Enriching POI datasets with Tabelog ratings and reviews |
What it does
This Actor collects Tabelog restaurant listings by city or area code and returns each one as a flat row with ratings, reviews, genres, budgets, locations, hours, and photos.
- 🏙️ City or area targeting: pick from 12 major cities or enter a specific area code like A1311 for Ueno.
- 📊 Structured output: every restaurant comes as one flat row with ratings, reviews, genres, budgets, locations, hours, and photos.
- ⚡ Scalable runs: collect up to 1,000,000 restaurants in a single run.
- 🔍 Filtered collection: set a maximum number of restaurants to control dataset size.
Results export to CSV, JSON, Excel, or XML, or straight from the API.
What you can do with Tabelog data
📈 Track restaurant trends in Tokyo.
A market researcher scrapes all restaurants in Tokyo to see which genres are growing and what price points dominate each neighborhood.
🍣 Build a travel app for Japan.
A developer collects Tabelog ratings and photos for Kyoto restaurants to power a discovery feature in a travel app.
🚚 Analyze food delivery potential.
A delivery startup scrapes Osaka restaurants to map density and ratings, deciding where to launch service first.
📍 Enrich location data.
A location intelligence team adds Tabelog reviews and budgets to their POI dataset for Hokkaido to improve recommendations.
Why choose this scraper
| What you get | |
|---|---|
| No API key | Scrape public Tabelog pages without registration or rate limits |
| Fixed schema | Every restaurant returns the same fields for easy analysis |
| Japan coverage | 12 major cities plus any area code across all 47 prefectures |
| Export ready | Download as CSV, JSON, Excel, or XML for your pipeline |
How it compares
This Actor focuses on city and area code scraping, while competitors offer keyword or URL input. All provide similar restaurant data fields.
| Feature | ParseForge | Tabelog Japan Restaurant Scraper (17 users) | Tabelog Scraper (32 users) | Tabelog Japan Restaurant Scraper (46 users) |
|---|---|---|---|---|
| Scrape by city | Yes | Not listed | Not listed | Not listed |
| Scrape by area code | Yes | Not listed | Not listed | Not listed |
| Scrape by keyword | Not listed | Not listed | Yes | Not listed |
| Scrape by URL | Not listed | Not listed | Yes | Not listed |
| Ratings and reviews | Yes | Yes | Yes | Yes |
| Genres and budgets | Yes | Yes | Not listed | Yes |
| Photos | Yes | Yes | Not listed | Yes |
Configure the run
Drive the Actor from a city slug or an optional area code, and set a maximum number of restaurants to collect per run. The Input tab lists every parameter.
A first run with the defaults:
{"maxItems": 10}
A larger pull:
{"maxItems": 200}
Pricing
Pay-per-result: $0.012 per result collected. You pay only for the results written to your dataset.
| Results collected | Approximate cost |
|---|---|
| 100 results | $1.20 |
| 1,000 results | $12.00 |
| 10,000 results | $120.00 |
New Apify accounts start with $5 in free credit.
Free users
Free-plan runs return up to 10 results as a preview. Upgrade your Apify plan to collect up to 1,000,000 results per run.
Run it
- Create a free Apify account with $5 in credit.
- Open the Tabelog Japan Restaurant Scraper.
- Set your inputs and any filters, then click Start.
- Export the results as CSV, Excel, JSON, or XML from the Dataset tab.
Run it programmatically through the Apify API (run-sync-get-dataset-items) or the ApifyClient for JavaScript and Python.
Use with AI agents (MCP)
Give an AI agent live access to Tabelog through the Model Context Protocol. Add the Actor to Claude, Cursor, or any MCP client:
$claude mcp add --transport http apify "https://mcp.apify.com?tools=parseforge/tabelog-scraper"
Then prompt it in plain language to run the scraper and read back the results.
Troubleshooting
Why am I getting no results?
Check that the city slug is spelled correctly and that the area code, if provided, is valid for that city. Also ensure the maximum restaurants is set to at least 1.
The run stops before reaching my maximum restaurants.
Tabelog may not have that many restaurants in the selected city or area. Try a broader area or a larger city.
Some fields are empty in the output.
Not all restaurants have every field, such as photos or hours. Empty fields mean the data was not available on Tabelog.
The run takes a long time.
Scraping many restaurants takes time. Reduce the maximum restaurants or use a more specific area code to speed up the run.
FAQ
| Question | Answer |
|---|---|
| Can I scrape a specific neighborhood, like Ueno in Tokyo? | Yes. Use the optional area code input. For example, enter A1311 for Ueno. Leave it empty to scrape the entire city. |
| How many restaurants can I get in one run? | You can set the maximum restaurants input up to 1,000,000. The Actor will stop after reaching that number. |
| Does this include reviews and ratings? | Yes. Each restaurant row includes its Tabelog rating, review count, and other details like genres, budget, location, hours, and photos. |
| Do I need a Tabelog API key? | No. This Actor reads public Tabelog pages directly, so no registration or key is required. |
| Which cities are supported? | The input includes 12 major cities: Tokyo, Osaka, Kyoto, Fukuoka, Sapporo, Hokkaido, Yokohama, Nagoya, Kobe, Sendai, Hiroshima, and Okinawa. You can also use any area code for other regions. |
| What output formats are available? | You can export the dataset as CSV, JSON, Excel, or XML from the Apify platform. |
| Is the data in English or Japanese? | The Actor returns the data as it appears on Tabelog, which is primarily in Japanese. Some fields may have English translations if available. |
| Can I schedule this to run daily? | Yes. You can set up a schedule in Apify to run the Actor at regular intervals and track changes over time. |
Related actors
Browse the full ParseForge collection for more scrapers.
🆘 Need help? Email parseforge@protonmail.com with your run ID, your input, and what you expected.
⚠️ Disclaimer. This Actor is unofficial and is not affiliated with, endorsed by, or sponsored by Kakaku.com, Inc. It collects only publicly available data. You are responsible for using the collected data in compliance with the source's terms of service and applicable data-protection laws, including GDPR, CCPA, and PIPL. Do not use it to collect personal data unlawfully.
