# Extract All DoorDash Reviews for a Store

**Use case:** 

Extract every customer review from any DoorDash store page. Star ratings, review text, reviewer names, dates and the menu items each review mentions.

## Input

```json
{
  "startUrls": [
    {
      "url": "https://www.doordash.com/store/145565"
    }
  ],
  "address": "350 5th Ave, New York, NY 10118",
  "maxResults": 1,
  "includeMenu": false,
  "fetchReviews": true,
  "maxReviews": 0
}
```

## Output

```json
{
  "record_type": {
    "label": "Type",
    "format": "text"
  },
  "store_id": {
    "label": "Store ID",
    "format": "text"
  },
  "review_id": {
    "label": "Review ID",
    "format": "text"
  },
  "rating": {
    "label": "Stars ⭐",
    "format": "number"
  },
  "reviewer_name": {
    "label": "Reviewer",
    "format": "text"
  },
  "review_text": {
    "label": "Review",
    "format": "text"
  },
  "reviewed_at": {
    "label": "Reviewed At",
    "format": "date"
  },
  "is_verified": {
    "label": "Verified",
    "format": "boolean"
  },
  "tagged_item_ids": {
    "label": "Tagged Items",
    "format": "array"
  },
  "marked_up_review_text": {
    "label": "Marked-up Text",
    "format": "text"
  },
  "reviewer_data": {
    "label": "Reviewer Info",
    "format": "object"
  },
  "experience": {
    "label": "Experience",
    "format": "text"
  },
  "review_source": {
    "label": "Source",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [DoorDash Scraper](https://apify.com/dz_omar/doordash-scraper.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/dz_omar/doordash-scraper.md) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/dz_omar/doordash-scraper.md

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).
