# Guru Navi Restaurant Scraper Template for extracting restaurant information (such as restaurant names and reviews) from Gurunavi by keywords. - Template page: [https://www.octoparse.com/template/gurunavi-shop-restaurant-scraper](https://www.octoparse.com/template/gurunavi-shop-restaurant-scraper) - Categories: Directories - Status: `PUBLISHED` - Run mode: `BOTH` ## Pricing Free. ## What is an Octoparse template? An Octoparse template is a ready-to-use scraping workflow with predefined inputs and structured outputs. Use the exact parameter keys below; do not invent parameters. ## Overview This ready-to-use template collects structured data from general web pages. ## Output The current workflow extracts 15 fields, including `お店ページのURL`, `アドレス`, `クレジットカード`, `タイプ`, `テイクアウト`, `ページ番号`, `メニューのサービス`, `ロケーション`, `予算`, `住所`, `営業時間`, `定休日`, `店名`, `総席数`, `電話番号`. ## Use Cases - Use structured results for research, comparison, and monitoring. - Collect rows without building the extraction workflow from scratch. - Combine results with other templates for downstream enrichment. - Review a representative result before starting a large batch. ## Why Octoparse - **No coding required:** complete Location;genre (up 30 per run) and start the template in local or cloud mode. - **Flexible export:** review and export results as CSV, Excel, or JSON. ## Input ### Location;genre (up 30 per run) Required. Location&genre Constraints: minItems=1; maxItems=30; items.minLength=1; items.maxLength=1000. ## How to Use # Guru Navi Restaurant Scraper Collects restaurant information from Gurunavi by keywords. Source: [Gnavi](https://r.gnavi.co.jp/) (`https://r.gnavi.co.jp/`) ## Pricing No per-line charge currently. Octoparse plan/resource limits may still apply. ## Input - **Location;genre (up 30 per run)** (required): Enter one or more values, one per line. ## Output Returns structured rows from Gnavi listing and detail pages using the template’s Output fields (e.g., `店名`, `電話番号`, `住所`, `営業時間`, `予算`, `お店ページのURL`). Fields not displayed by Gnavi can be empty. ## How to Use 1. Open the template and select **Try it** or **Start**. 2. Complete the input fields listed above. 3. Choose a local or cloud run. 4. Review the output rows and export or process the structured data. ## Run, Schedule, and Export - Run locally or in the cloud. - For local scheduled runs, keep your computer and Octoparse open. - Schedule recurring runs and export to CSV, Excel, JSON, databases, or cloud storage. - Reuse exported data through Octoparse OpenAPI or the [AgentTools API: Search Templates](https://www.octoparse.com/docs/en/api-reference/agenttools-api/search-templates). - Scheduling and API access may require a paid Octoparse plan. ## Limitations - Collects only the fields listed in Output from Gnavi listing/detail pages; it does not add data 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. - Use the most specific valid **Location;genre (up 30 per run)** to reduce unrelated or duplicate records. - Use a stable URL or identifier from the returned fields as the deduplication key when available. ## Limitations Results depend on what the source site exposes at run time. Fields may be empty when a source page does not provide a value. The template enforces the input limits shown above. ## Tips Use specific, valid inputs and review a representative result before starting a large batch. Remove duplicate inputs when repeated records are not needed. ## FAQ ### What do I need to enter? Use the exact inputs and limits listed above. ### What data does this template return? See Output Schema below; availability can vary by source record. ### How is usage billed? See the Pricing section above for current pricing and billing details. ## Related Templates - [Jyuku Navi School Ranking Scraper](https://www.octoparse.com/template/jyuku-navi-school-ranking-scraper) - [Uber Eats Restaurant Details Scraper](https://www.octoparse.com/template/uber-eats-restaurant-details-scraper) - [Uber Eats Restaurant Listing Scraper](https://www.octoparse.com/template/uber-eats-restaurant-listing-scraper) - [Hot Pepper Restaurant Listing Scraper](https://www.octoparse.com/template/hot-pepper-restaurant-listing-scraper) - [UberEats Restaurant Listings Scraper](https://www.octoparse.com/template/ubereats-jp-restaurant-listings-scraper) ## Input Schema ```json { "title": "Guru Navi Restaurant Scraper input", "description": "Input parameters configured for the current published template version.", "type": "object", "schemaVersion": 1, "additionalProperties": false, "properties": { "location;genre": { "title": "Location;genre (up 30 per run)", "description": "Location&genre", "type": "array", "items": { "type": "string", "minLength": 1, "maxLength": 1000 }, "minItems": 1, "maxItems": 30, "x-octoparse": { "apiEnabled": true } } }, "required": [ "location;genre" ] } ``` ## Input JSON Example Example 1 ```json { "location;genre": [ "東京都新宿" ] } ``` Example 2 ```json { "location;genre": [ "東京都新宿" ] } ``` Example 3 ```json { "location;genre": [ "東京都新宿" ] } ``` ## Output Schema ```json { "schemaVersion": 1, "type": "object", "properties": { "お店ページのURL": { "type": "string", "description": "" }, "アドレス": { "type": "string", "description": "" }, "クレジットカード": { "type": "string", "description": "" }, "タイプ": { "type": "string", "description": "" }, "テイクアウト": { "type": "string", "description": "" }, "ページ番号": { "type": "string", "description": "" }, "メニューのサービス": { "type": "string", "description": "" }, "ロケーション": { "type": "string", "description": "" }, "予算": { "type": "string", "description": "" }, "住所": { "type": "string", "description": "" }, "営業時間": { "type": "string", "description": "" }, "定休日": { "type": "string", "description": "" }, "店名": { "type": "string", "description": "" }, "総席数": { "type": "string", "description": "" }, "電話番号": { "type": "string", "description": "" } }, "title": "Guru Navi Restaurant Scraper output", "description": "Initial output fields derived from the current published implementation. Field descriptions are maintained by Data Center; production field names and types should be refreshed from recent successful runs.", "additionalProperties": false } ``` ## Output Example Example 1 ```json { "お店ページのURL": "https://r.gnavi.co.jp/n4yud5vr0000/", "アドレス": "\n \n ＪＲ 新宿駅 徒歩2分 \n \n ", "クレジットカード": "\n \n VISA\n MasterCard\n JCB\n アメリカン・エキスプレス\n ダイナースクラブ\n Discover Card\n 銀聯\n \n ", "タイプ": "ジャンル・店名", "テイクアウト": "\n \n テイクアウト可\n \n \n ", "ページ番号": "1", "メニューのサービス": "\n \n 飲み放題メニューあり\n 誕生日特典あり\n \n このお店のメニュー：\n \n すみれのコース\n 席・コース予約\n 大山どりの焼き鳥\n お食事・逸品\n 豊富なお飲み物\n \n ", "ロケーション": "東京都新宿", "予算": "\n \n 2,500円（通常平均）\n 3,000円（宴会平均）\n \n ", "住所": "\n 〒160-0023 \n 東京都新宿区西新宿1-12-7 第二清新ビル4F ", "営業時間": "\n \n 月～金・祝前日\nディナー　17:00～23:30\n（L.O.23:00、ドリンクL.O.23:00）\n\n土・日・祝\nディナー　16:00～23:30\n（L.O.23:00、ドリンクL.O.23:00）\n \n ", "定休日": "\n \n 無\n ■営業時間に関して\n 通常時間と営業時間が異なる場合がございますので、公式ホームページもしくは店舗に直接お電話にてお問い合わせください\n \n ", "店名": "やきとり家すみれ 新宿西口店", "総席数": "\n \n 108席\n \n \n 座敷席あり\n 掘りごたつ席あり\n 座椅子あり\n カウンター席あり\n カップルシートあり\n ソファー席あり\n テラス・屋外席あり\n \n ", "電話番号": "\n 050-5485-1595\n " } ``` Example 2 ```json { "お店ページのURL": "https://r.gnavi.co.jp/e740400/", "アドレス": "\n \n 地下鉄丸ノ内線 新宿三丁目駅 C6番出口 徒歩1分 \n 地下鉄副都心線 新宿三丁目駅 C6番出口 徒歩1分 \n ＪＲ 新宿駅 徒歩5分 \n \n ", "クレジットカード": "\n \n VISA\n MasterCard\n \n ", "タイプ": "ジャンル・店名", "テイクアウト": "\n \n テイクアウト可\n \n お弁当可\n \n \n ", "ページ番号": "1", "メニューのサービス": "\n \n 食べ放題メニューあり\n 飲み放題メニューあり\n ランチメニューあり\n \n このお店のメニュー：\n \n ◇食べ飲み放題◇\n 上海酒場の宴会\n 激安！宴会\n 極上の一品★\n ドリンク\n ランチ\n 売れ筋ランキング\n \n ", "ロケーション": "東京都新宿", "予算": "\n \n 2,500円（通常平均）\n 2,980円（宴会平均）\n 600円（ランチ平均）\n \n ", "住所": "\n 〒160-0022 \n 東京都新宿区新宿3-11-11 ダイアン新宿ビル7F ", "営業時間": "\n \n 月～日\nランチ　11:00～15:00\n（L.O.14:30）\nディナー　17:00～23:00\n \n ", "定休日": "\n \n 無\n 年末年始（2026年1月1日）\n \n ", "店名": "上海酒場 新宿三丁目店", "総席数": "\n \n 80席\n \n \n ソファー席あり\n 円卓あり\n 夜景が見える\n \n ", "電話番号": "\n 050-5485-0808\n " } ``` Example 3 ```json { "お店ページのURL": "https://r.gnavi.co.jp/cbjba2m30000/", "アドレス": "\n \n ＪＲ 新宿駅 南口・東南口 徒歩2分 \n 地下鉄 新宿駅 徒歩1分 \n 地下鉄副都心線 新宿三丁目駅 徒歩1分 \n 西武新宿線 西武新宿駅 徒歩7分 \n \n ", "クレジットカード": "\n \n VISA\n MasterCard\n JCB\n アメリカン・エキスプレス\n ダイナースクラブ\n UC\n \n ", "タイプ": "ジャンル・店名", "テイクアウト": "\n \n テイクアウト可\n \n \n ", "ページ番号": "1", "メニューのサービス": "\n \n 食べ放題メニューあり\n 飲み放題メニューあり\n 誕生日特典あり\n ランチメニューあり\n \n このお店のメニュー：\n \n 単品飲み放題\n コース\n お料理\n 全国日本酒\n ドリンク\n 売れ筋メニュー\n \n ", "ロケーション": "東京都新宿", "予算": "\n \n 5,000円（通常平均）\n 3,000円（宴会平均）\n 1,000円（ランチ平均）\n \n ", "住所": "\n 〒160-0022 \n 東京都新宿区新宿4-1-13 田園新宿ビル10F ", "営業時間": "\n \n 月～金\n15:00～24:00\n（L.O.23:30、ドリンクL.O.23:30）\n※12時～16時のご来店は要事前予約となります。\n\n土・日・祝\n12:00～24:00\n（L.O.23:30、ドリンクL.O.23:30）\n■12時～16時のご来店は前日までのご予約となります。\n \n ", "定休日": "\n \n 無\n \n ", "店名": "海鮮と日本酒 個室居酒屋\n北丸 新宿本店", "総席数": "\n \n 120席\n \n \n 掘りごたつ席あり\n \n ", "電話番号": "\n 050-5489-4391\n " } ``` ## API `POST https://openapi.octoparse.com/api/agentTools/executeTask` This is the OpenAPI Agent Tools `executeTask` endpoint. Authenticate with a Bearer token. Request body: `templateName` is the template slug; `parameters` is a JSON object string whose keys match Input Schema; `taskName`, `idempotencyKey`, and `maxCollectedRows` are optional. Obtain a token: ```http POST https://openapi.octoparse.com/token Content-Type: application/json { "username": "YOUR_USERNAME", "password": "YOUR_PASSWORD", "grant_type": "password" } ``` Use `data.access_token` as `Authorization: Bearer `. After starting, poll `getTaskStatus` and export with `exportData`. ```json { "templateName": "gurunavi-shop-restaurant-scraper", "taskName": "Guru Navi Restaurant Scraper", "parameters": "{\"location;genre\":[\"東京都新宿\"]}" } ``` ## Python Example ```python import json import requests OPENAPI_BASE = "https://openapi.octoparse.com" ACCESS_TOKEN = "YOUR_ACCESS_TOKEN" parameters = json.loads("{\"location;genre\":[\"東京都新宿\"]}") response = requests.post( f"{OPENAPI_BASE}/api/agentTools/executeTask", headers={ "Authorization": f"Bearer {ACCESS_TOKEN}", "Content-Type": "application/json", }, json={ "templateName": "gurunavi-shop-restaurant-scraper", "taskName": "Guru Navi Restaurant Scraper", "parameters": json.dumps(parameters, ensure_ascii=False), }, timeout=60, ) print(response.status_code) print(response.json()) ``` ## HTTP/cURL Example ```bash curl -X POST "https://openapi.octoparse.com/api/agentTools/executeTask" \ -H "Authorization: Bearer YOUR_ACCESS_TOKEN" \ -H "Content-Type: application/json" \ --data-binary @- <<'JSON' { "templateName": "gurunavi-shop-restaurant-scraper", "taskName": "Guru Navi Restaurant Scraper", "parameters": "{\"location;genre\":[\"東京都新宿\"]}" } JSON ``` ## MCP Setup Connect an MCP-compatible AI client to `https://mcp.octoparse.com` using browser OAuth or an Octoparse API key. Find `gurunavi-shop-restaurant-scraper`, inspect its inputs, create a cloud task with the exact Input Schema keys, and export JSON results. ## Machine-readable Resources - [Template contract](https://www.octoparse.com/templates/gurunavi-shop-restaurant-scraper.json) - [Manifest](https://www.octoparse.com/templates/gurunavi-shop-restaurant-scraper-manifest.json)