UberEats Restaurant Listings Scraper

📌 What can you collect with UberEats Restaurant Listings Scraper?

This template collects restaurant information (e.g. restaurant name, star rating and price) from Uber Eats by URLs.

Data is collected from Ubereats. Ubereats 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

UberEats Restaurant Listings Scraper returns these fields:

• レストラン名
• 名物料理
• レストランのカテゴリ
• 価格帯
• 住所
• 星評価
• 評価数
• 料理名
• 価格

Example Data Preview:

{
  "レストラン名": "デニーズ 新宿御苑店 Denny's Shinnjukugyoenn",
  "名物料理": "Steak",
  "レストランのカテゴリ": "Western-style Japanese Food",
  "価格帯": "¥",
  "住所": "東京都新宿区新宿1丁目9-3, NBKビル, Tokyo, 160-0022",
  "星評価": "100",
  "評価数": "100",
  "料理名": "【K2】た～っぷりたらこのスパゲッティ～北海道バター使用 ¥798 ¥1,140",
  "価格": "¥798"
}

🎯 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 Ubereats workflow: Enter Ubereats Restaurant URL (up to 1000 per run), run UberEats Restaurant Listings Scraper, and review the structured rows returned for each source record.
• Useful results: The returned レストラン名, 名物料理, レストランのカテゴリ, 価格帯, 住所, 星評価, 評価数, 料理名, and 価格 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

• Ubereats Restaurant URL (up to 1000 per run) (required): Enter one or more values, one per line.

🚀 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.

⚠️ Limitations

• UberEats Restaurant Listings Scraper collects the fields listed in Output from listing pages; it does not add data that Ubereats does not display.
• Fields such as 評価数, 料理名, and 価格 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 Ubereats Restaurant URL (up to 1000 per run) to reduce unrelated or duplicate records.
• Use a stable URL or identifier from レストラン名, 名物料理, レストランのカテゴリ, 価格帯, 住所, 星評価, 評価数, 料理名, and 価格 as the deduplication key when available.

❓ FAQ

Does UberEats Restaurant Listings Scraper collect complete detail-page data?

No. It collects the listing or search-result fields shown in Output; use a detail-page template when deeper record data is required.

Can I schedule and export data collected by UberEats Restaurant Listings Scraper?

Yes. You can schedule UberEats Restaurant Listings 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 UberEats Restaurant Listings 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

• TripAdvisor Scraper (Hotel Listing) - Use TripAdvisor Scraper (Hotel Listing) for a comparable travel collection scenario on another source.
• Trip.com Scraper (Listing URL) - Use Trip.com Scraper (Listing URL) for a comparable travel collection scenario on another source.