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Tabelog Restaurant Reviews Scraper - Low-cost💲🔥🍣🇯🇵

Try for free

⭐ Extract Tabelog restaurant reviews with ease. Collect reviewer names, countries, ratings, food & service scores, meal types, spending amounts, visit dates, review titles, comments, reviewer profiles, photos, and review URLs. Ideal for Japan restaurant reputation analysis & review datasets 🇯🇵📊

Pricing

from $0.00005 / actor start

Rating

5.0

(1)

Developer

Prime Scrape

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Bookmarked

Total users

Monthly active users

8 days ago

Last modified

Configure MCP server with Tabelog Restaurant Reviews Scraper - Low-cost💲🔥🍣🇯🇵

The configuration above connects to the hosted Apify MCP server with the Tabelog Restaurant Reviews Scraper - Low-cost💲🔥🍣🇯🇵 Actor already loaded. It uses OAuth, so your client opens a browser window to sign you in to Apify on first use. No API token is needed. Clients without OAuth support can authenticate with an Authorization: Bearer header carrying an API token from API & Integrations in Apify Console.

Get a ready-to-use configuration for your MCP client with the Tabelog Restaurant Reviews Scraper - Low-cost💲🔥🍣🇯🇵 Actor preconfigured at https://mcp.apify.com/?tools=fetch-actor-details,delectable_incubator/tabelog-restaurant-reviews-scraper-low-cost.

You can connect to the Apify MCP Server using clients like Tester MCP Client, or any other MCP client of your choice.

If you want to learn more about our Apify MCP implementation, check out our MCP documentation. To learn more about the Model Context Protocol in general, refer to the official MCP documentation or read our blog post.

Tabelog Scraper - Low-cost💲🔥🍣🔎

delectable_incubator/tabelog-scraper-low-cost

🍣 Extract restaurant listings from Tabelog with ease. Collect restaurant names, rankings, genres, ratings, nearest stations, distances, lunch & dinner prices, awards, images, and listing URLs. Ideal for Japan restaurant research, food market intelligence, price monitoring & restaurant datasets 🇯🇵

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delectable_incubator/zomato-reviews-scraper-low-cost

🍽️⭐ Easily scrape Zomato restaurant reviews. Extract review text, ratings, usernames, profile URL, likes, comments, review photos, tags, timestamps and management responses. Perfect for restaurant analytics, sentiment analysis, reputation monitoring, market research, AI datasets & customer insights

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