# DoorDash Store Scraper (`moving_beacon-owner1/doordash-store-scraper`) Actor

Scrapes DoorDash store details, full menus, prices, images, ratings, and public customer reviews. Supports multiple store IDs or URLs, optional menu and review collection, and configurable review limits for restaurant research and analysis.

- **URL**: https://apify.com/moving\_beacon-owner1/doordash-store-scraper.md
- **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community)
- **Categories:**
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.99 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## DoorDash Store Scraper

Collects DoorDash store details, the full menu (categories and items with prices, images, and item ratings), and public customer reviews for a list of stores on doordash.com.

### Input

| Field | Default | Description |
|---|---|---|
| `store_ids` | `["1314924", "894725"]` | DoorDash store IDs or store page URLs (the numeric ID is extracted automatically). |
| `include_menu` | `true` | Include menu categories and items. |
| `include_reviews` | `true` | Include public customer reviews. |
| `max_reviews_per_store` | `20` | Maximum reviews per store (0–500). |
| `limit` | `10` | Maximum stores to scrape (1–100). One record per store. |
| Proxy configuration | *(off)* | Optional. Enable a US-based proxy for the most reliable results. |

### Output

One dataset record per store, for example:

```json
{
  "store_id": "1314924",
  "name": "Tim Hortons",
  "description": "Donut Shop",
  "price_range": 2,
  "street": "2200 Elmwood Avenue",
  "city": "Buffalo",
  "state": "NY",
  "display_address": "2200 Elmwood Ave, Buffalo, NY 14216, USA",
  "lat": "42.956968",
  "lng": "-78.878888",
  "country": "US",
  "average_rating": 4.1,
  "num_ratings": 2864,
  "offers_delivery": true,
  "offers_pickup": true,
  "cover_img_url": "https://img.cdn4dd.com/...png",
  "store_url": "https://www.doordash.com/store/1314924/",
  "menu_category_count": 5,
  "menu_item_count": 119,
  "review_count_fetched": 5,
  "menu": [{"category_name": "Hot Drinks", "items": [{"name": "Original Blend Coffee", "display_price": "$2.86"}]}],
  "reviews": [{"reviewer_name": "Aranna D", "num_stars": 5, "review_text": "...", "reviewed_at": "2024-12-16T00:43:37.965Z"}],
  "raw": { ... }
}
```

### Notes

- Runs on empty input using two sample stores.
- Enable a US-based proxy for the most reliable results.
- Use modest limits and delays; scraping may be subject to DoorDash's Terms of Service.

# Actor input Schema

## `store_ids` (type: `array`):

DoorDash store IDs (e.g. 1314924) or store page URLs (e.g. https://www.doordash.com/store/tim-hortons-buffalo-1314924/). The numeric ID is extracted automatically.

## `include_menu` (type: `boolean`):

Fetch the store's menu categories and items (name, description, display price, image, item rating).

## `include_reviews` (type: `boolean`):

Fetch public customer reviews for each store (star rating, text, date, reviewer name, tagged items).

## `max_reviews_per_store` (type: `integer`):

Maximum number of reviews to fetch per store (paginated 50 at a time). Set 0 to skip reviews even when 'Include reviews' is on.

## `limit` (type: `integer`):

Maximum number of stores to scrape from the list above (one dataset record per store).

## `proxyConfiguration` (type: `object`):

Proxy settings for the run. Enable a US-based proxy for the most reliable results, especially for sites that limit non-US or datacenter traffic. Optional — leave off to run directly.

## Actor input object example

```json
{
  "store_ids": [
    "1314924",
    "894725"
  ],
  "include_menu": true,
  "include_reviews": true,
  "max_reviews_per_store": 20,
  "limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "store_ids": [
        "1314924",
        "894725"
    ],
    "include_menu": true,
    "include_reviews": true,
    "max_reviews_per_store": 20,
    "limit": 10,
    "proxyConfiguration": {
        "useApifyProxy": true
    }
};

// Run the Actor and wait for it to finish
const run = await client.actor("moving_beacon-owner1/doordash-store-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "store_ids": [
        "1314924",
        "894725",
    ],
    "include_menu": True,
    "include_reviews": True,
    "max_reviews_per_store": 20,
    "limit": 10,
    "proxyConfiguration": { "useApifyProxy": True },
}

# Run the Actor and wait for it to finish
run = client.actor("moving_beacon-owner1/doordash-store-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "store_ids": [
    "1314924",
    "894725"
  ],
  "include_menu": true,
  "include_reviews": true,
  "max_reviews_per_store": 20,
  "limit": 10,
  "proxyConfiguration": {
    "useApifyProxy": true
  }
}' |
apify call moving_beacon-owner1/doordash-store-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,moving_beacon-owner1/doordash-store-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/3NA4WHdMTuqDh8HrF/builds/NQGftvBRCRviUDDr2/openapi.json