# UberEats Restaurant Listings Scraper

Template for extracting restaurant information (e.g. restaurant name, star rating and price) from Uber Eats by URLs.

- Template page: [https://www.octoparse.com/template/ubereats-jp-restaurant-listings-scraper](https://www.octoparse.com/template/ubereats-jp-restaurant-listings-scraper)
- Categories: E-Commerce
- 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 listing pages.

## Output

The current workflow extracts 9 fields, including `レストランのカテゴリ`, `レストラン名`, `住所`, `価格`, `価格帯`, `名物料理`, `料理名`, `星評価`, `評価数`.

## 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 Ubereats Restaurant URL (up to 1000 per run) and start the template in local or cloud mode.
- **Flexible export:** review and export results as CSV, Excel, or JSON.

## Input

### Ubereats Restaurant URL (up to 1000 per run)

Required. Enter the restaurant/store URL to extract menu data Constraints: minItems=1; maxItems=1000; items.minLength=1; items.maxLength=5000.

## How to Use

# UberEats Restaurant Listings Scraper

Collects restaurant listing fields from Uber Eats by URLs. Data source: [Ubereats](https://www.ubereats.com/).

## Pricing

No per-line charge currently. Octoparse plan or resource limits may still apply.

## 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 field.
3. Choose a local or cloud run.
4. Review the output rows and export or process the structured data.

## Scheduling and Data Access

- Schedule runs locally or in the cloud. Keep your computer and Octoparse open for local scheduled runs; scheduling may require a paid Octoparse plan.
- Export rows to CSV, Excel, JSON, databases, or cloud storage, or send them to reporting and AI workflows through Octoparse APIs.
- Reuse collected data through Octoparse OpenAPI or the [AgentTools API](https://www.octoparse.com/docs/en/api-reference/agenttools-api/search-templates).

## Limitations

- Collects only the fields listed in Output from listing pages; it does not add data Uber Eats does not display.
- `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.
- Use the most specific valid Ubereats Restaurant URL to reduce unrelated or duplicate records.
- Use a stable URL or identifier from the returned data 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

- [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)
- [Guru Navi Restaurant Scraper](https://www.octoparse.com/template/gurunavi-shop-restaurant-scraper)
- [Just Eat Restaurant Listing Scraper](https://www.octoparse.com/template/just-eat-restaurant-listing-scraper)

## Input Schema

```json
{
  "title": "UberEats Restaurant Listings Scraper input",
  "description": "Input parameters configured for the current published template version.",
  "type": "object",
  "schemaVersion": 1,
  "additionalProperties": false,
  "properties": {
    "ubereats_Restaurant_URL": {
      "title": "Ubereats Restaurant URL (up to 1000 per run)",
      "description": "Enter the restaurant/store URL to extract menu data",
      "type": "array",
      "items": {
        "type": "string",
        "minLength": 1,
        "maxLength": 5000
      },
      "minItems": 1,
      "maxItems": 1000,
      "x-octoparse": {
        "apiEnabled": true
      }
    }
  },
  "required": [
    "ubereats_Restaurant_URL"
  ]
}
```

## Input JSON Example

Example 1

```json
{
  "ubereats_Restaurant_URL": [
    "https://www.ubereats.com/jp/store/%E6%9D%BE%E5%B1%8B-%E5%8C%9724%E6%9D%A1%E5%BA%97-matsuya-kita-nijyuyo-jo/mzVB61vCQLuCCtrXpgZ7YA?diningMode=DELIVERY"
  ]
}
```

Example 2

```json
{
  "ubereats_Restaurant_URL": [
    "https://www.ubereats.com/jp/store/%E6%9D%BE%E5%B1%8B-%E5%8C%9724%E6%9D%A1%E5%BA%97-matsuya-kita-nijyuyo-jo/mzVB61vCQLuCCtrXpgZ7YA?diningMode=DELIVERY"
  ]
}
```


## Output Schema

```json
{
  "schemaVersion": 1,
  "type": "object",
  "properties": {
    "レストランのカテゴリ": {
      "type": "string",
      "description": ""
    },
    "レストラン名": {
      "type": "string",
      "description": ""
    },
    "住所": {
      "type": "string",
      "description": ""
    },
    "価格": {
      "type": "string",
      "description": ""
    },
    "価格帯": {
      "type": "string",
      "description": ""
    },
    "名物料理": {
      "type": "string",
      "description": ""
    },
    "料理名": {
      "type": "string",
      "description": ""
    },
    "星評価": {
      "type": "string",
      "description": ""
    },
    "評価数": {
      "type": "string",
      "description": ""
    }
  },
  "title": "UberEats Restaurant Listings 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
{
  "レストランのカテゴリ": "定食",
  "レストラン名": "松屋 新橋3 丁目店 Matsuya Shimbashi 3-Chome",
  "住所": "東京都港区新橋3-16-1, 100",
  "価格": "",
  "価格帯": "¥",
  "名物料理": "丼もの",
  "料理名": "",
  "星評価": "4.6",
  "評価数": "700"
}
```

Example 2

```json
{
  "レストランのカテゴリ": "定食",
  "レストラン名": "松屋 芝大門店 Matsuya Shibadaimon",
  "住所": "東京都港区芝大門2-1-1, Tokyo, 105-0012",
  "価格": "",
  "価格帯": "¥",
  "名物料理": "丼もの",
  "料理名": "",
  "星評価": "4.4",
  "評価数": "1000"
}
```

## 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 <token>`. After starting, poll `getTaskStatus` and export with `exportData`.

```json
{
  "templateName": "ubereats-jp-restaurant-listings-scraper",
  "taskName": "UberEats Restaurant Listings Scraper",
  "parameters": "{\"ubereats_Restaurant_URL\":[\"https://www.ubereats.com/jp/store/%E6%9D%BE%E5%B1%8B-%E5%8C%9724%E6%9D%A1%E5%BA%97-matsuya-kita-nijyuyo-jo/mzVB61vCQLuCCtrXpgZ7YA?diningMode=DELIVERY\"]}"
}
```

## Python Example

```python
import json
import requests

OPENAPI_BASE = "https://openapi.octoparse.com"
ACCESS_TOKEN = "YOUR_ACCESS_TOKEN"

parameters = json.loads("{\"ubereats_Restaurant_URL\":[\"https://www.ubereats.com/jp/store/%E6%9D%BE%E5%B1%8B-%E5%8C%9724%E6%9D%A1%E5%BA%97-matsuya-kita-nijyuyo-jo/mzVB61vCQLuCCtrXpgZ7YA?diningMode=DELIVERY\"]}")

response = requests.post(
    f"{OPENAPI_BASE}/api/agentTools/executeTask",
    headers={
        "Authorization": f"Bearer {ACCESS_TOKEN}",
        "Content-Type": "application/json",
    },
    json={
        "templateName": "ubereats-jp-restaurant-listings-scraper",
        "taskName": "UberEats Restaurant Listings 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": "ubereats-jp-restaurant-listings-scraper",
  "taskName": "UberEats Restaurant Listings Scraper",
  "parameters": "{\"ubereats_Restaurant_URL\":[\"https://www.ubereats.com/jp/store/%E6%9D%BE%E5%B1%8B-%E5%8C%9724%E6%9D%A1%E5%BA%97-matsuya-kita-nijyuyo-jo/mzVB61vCQLuCCtrXpgZ7YA?diningMode=DELIVERY\"]}"
}
JSON
```

## MCP Setup

Connect an MCP-compatible AI client to `https://mcp.octoparse.com` using browser OAuth or an Octoparse API key. Find `ubereats-jp-restaurant-listings-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/ubereats-jp-restaurant-listings-scraper.json)
- [Manifest](https://www.octoparse.com/templates/ubereats-jp-restaurant-listings-scraper-manifest.json)