# Uber Eats Products API

Menu items from Uber Eats stores with name, price, description, image and category. Search a delivery address (with an optional keyword), or pass store URLs.

**Pricing:** $0.01 per product

**Endpoint:** `POST /v1/data/ubereats/products/run`

**Auth:** `Authorization: Bearer mk_live_...`

## Parameters

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `query` | string | No | Keyword to search for near the address, such as a dish, cuisine or restaurant name (pizza, sushi, McDonald's). Leave blank to read every store near the address. |
| `address` | string | No | Delivery address, city or postcode to search near (for example 350 5th Ave, New York). |
| `country` | string | No | Country the address is in, used to resolve it. 🇺🇸 United States by default. |
| `maxStores` | integer | No | How many stores near the address to read menus from. Every store's full menu comes back, so a few stores give many products. |
| `urls` | array | No | One or more Uber Eats store page URLs. Every menu item of each store comes back. |
| `maxResults` | integer | No | How many menu items to return in total. Defaults to 100; use 0 for all. |

## Example

`?wait=true` holds the request open until the run finishes (up to 60s) and returns the rows inline: one request, no polling.

```bash
curl -X POST "https://api.mindcase.co/v1/data/ubereats/products/run?wait=true" \
  -H "Authorization: Bearer mk_live_YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"params":{}}'
```

```python
import requests

resp = requests.post(
    "https://api.mindcase.co/v1/data/ubereats/products/run",
    params={"wait": "true"},
    headers={"Authorization": "Bearer mk_live_YOUR_API_KEY"},
    json={"params": {}},
)
rows = resp.json()["data"]
```

## Longer runs

If the run is still going at the 60s ceiling you get back `{ job_id, status: "running" }` instead of rows (same if the result is over 100 rows; those come back `truncated`). Poll with that `job_id`:

```bash
# 1) check status
curl https://api.mindcase.co/v1/jobs/JOB_ID \
  -H "Authorization: Bearer mk_live_YOUR_API_KEY"

# 2) when status == completed, fetch the rows
curl https://api.mindcase.co/v1/jobs/JOB_ID/results \
  -H "Authorization: Bearer mk_live_YOUR_API_KEY"
```

Full API reference (auth, jobs, balance, SDKs, MCP): https://mindcase.co/skills.md

## Response columns

| Field | Display name | Type |
|-------|--------------|------|
| `productId` | Product ID | text |
| `productName` | Product Name | text |
| `price` | Price | currency |
| `currency` | Currency | text |
| `description` | Description | text |
| `imageUrl` | Image URL | url |
| `category` | Category | text |
| `inStock` | In Stock | boolean |
| `hasOptions` | Has Options | boolean |
| `likePercent` | Like Percent | percentage |
| `ratingCount` | Rating Count | number |
| `badges` | Badges | array |
| `storeId` | Store ID | text |
| `storeName` | Store Name | text |
| `storeUrl` | Store URL | url |
| `storeAddress` | Store Address | text |
| `city` | City | text |
| `country` | Country | text |
| `latitude` | Latitude | number |
| `longitude` | Longitude | number |
| `cuisines` | Cuisines | array |
| `storeRating` | Store Rating | rating |
| `storeRatingCount` | Store Rating Count | text |