Guru Navi Restaurant Scraper
📌 What can you collect with Guru Navi Restaurant Scraper?
This template collects restaurant information (such as restaurant names and reviews) from Gurunavi by keywords.
Data is collected from Gnavi. Gnavi is a travel service where users research destinations, hotels, restaurants, flights, prices, ratings, and availability.
💰 Pricing
This template currently has no per-line charge.
📦 Output
Guru Navi Restaurant Scraper returns these fields:
ロケーションタイプページ番号店名電話番号住所アドレス営業時間定休日予算クレジットカード総席数メニューのサービステイクアウトお店ページのURL
Example Data Preview:
{
"ロケーション": "東京都 新宿",
"タイプ": "ランチ",
"ページ番号": "1",
"店名": "個室居酒屋 くじゃく茶屋新宿店 コシツイザカヤクジャクチャヤシンジュクテン",
"電話番号": "050-5494-6611",
"住所": "〒160-0023 東京都新宿区西新宿1-14-3 2F",
"アドレス": "都営新宿線 新宿駅 徒歩2分 京王新線 新宿駅 徒歩2分",
"営業時間": "ランチ・ディナー 11:00～23:00 都の要請により営業時間が変動します。ご来店の際はご確認のうえお越しください。",
"定休日": "不定休日あり ※団体様の場合は別途キャンセル規定がございますので詳細は店舗にお問い合わせくださいませ。",
"予算": "3,000円（通常平均） 3,000円（宴会平均） 1,000円（ランチ平均）",
"クレジットカード": "VISA MasterCard JCB アメリカン・エキスプレス ダイナースクラブ",
"総席数": "80席 座椅子あり カウンター席あり カップルシートあり ソファー席あり",
"メニューのサービス": "食べ放題メニューあり 飲み放題メニューあり 誕生日特典あり ドリンクの持込可 ランチメニューあり ヘルシーメニューご相談 ベジタリアンメニューご相談 国・宗教別メニューご相談 このお店のメニュー： 自慢のコース 単品メニュー 食べ放題コース ドリンクメニュー ランチ ｺﾛﾅｳｲﾙｽ対策 売れ筋メニュー",
"テイクアウト": "テイクアウト可 ドギーバッグ可 （食べ残しをお持ち帰りいただけます）",
"お店ページのURL": "https://r.gnavi.co.jp/akrp6pxb0000/"
}
🎯 Use Cases
- Compare travel listings, prices, ratings, reviews, locations, or availability.
- Monitor changes across destinations or repeated collection periods.
- Build structured hotel, restaurant, flight, or destination research datasets.
- Export listing URLs and result fields for reporting or downstream analysis.
🐙 Why Octoparse
- Ready-to-use Gnavi workflow: Enter Location;genre (up 30 per run), run Guru Navi Restaurant Scraper, and review the structured rows returned for each source record.
- Useful results: The returned ロケーション, タイプ, ページ番号, 店名, 電話番号, 住所, アドレス, 営業時間, 定休日, and 予算 fields support comparison, monitoring, and reusable data workflows.
- Local or cloud runs: Run this template locally or in the cloud.
- Export and reuse: Export the rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.
You can schedule recurring runs, export the collected data, and reuse it through Octoparse OpenAPI or the AgentTools API. Scheduling and API access may require a paid Octoparse plan.
📝 Input
- Location;genre (up 30 per run) (required): Enter one or more values, one per line.
🚀 How to Use
- Open the template and select Try it or Start.
- Complete the input fields listed above.
- Choose a local or cloud run.
- Review the output rows and export or process the structured data.
⚠️ Limitations
- Guru Navi Restaurant Scraper collects the fields listed in Output from listing, detail pages; it does not add data that Gnavi does not display.
- Fields such as メニューのサービス, テイクアウト, and お店ページのURL can be empty when the source record does not provide them.
💡 Tips
- Start with one or a few inputs and review the returned rows before scaling the task.
- Use the most specific valid Location;genre (up 30 per run) to reduce unrelated or duplicate records.
- Use a stable URL or identifier from ロケーション, タイプ, ページ番号, 店名, 電話番号, 住所, アドレス, 営業時間, 定休日, and 予算 as the deduplication key when available.
❓ FAQ
Does Guru Navi Restaurant Scraper collect reviews or comments?
No. It collects the detail-page fields shown in Output, not a complete review or comment history.
Can I schedule and export data collected by Guru Navi Restaurant Scraper?
Yes. You can schedule Guru Navi Restaurant Scraper to run locally or in the cloud and export the collected data from Octoparse. Keep your computer and Octoparse open for local scheduled runs. Scheduling may require a paid Octoparse plan.
How much does Guru Navi Restaurant Scraper cost?
This template is currently free of charge and has no per-line usage fee. Octoparse plan or resource limits may still apply.
🔗 Related Templates
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- TripAdvisor Scraper (Hotel Details) - Use TripAdvisor Scraper (Hotel Details) for a comparable travel collection scenario on another source.