# Build an Etsy review corpus for product research

**Use case:** 

Create a compact review corpus from Etsy listings with review text, ratings, and reviewer context for analysis or evaluation.

## Input

```json
{
  "productUrls": [
    "https://www.etsy.com/listing/1071878058/charger-plate-pumpkin-set-pumpkin"
  ],
  "shopUrls": [],
  "maxReviewsPerListing": 25,
  "maxResults": 25,
  "sortBy": "most_recent",
  "includeListingMetadata": false,
  "includeReviewImages": false
}
```

## Output

```json
{
  "rating": {
    "label": "Rating",
    "format": "number"
  },
  "reviewText": {
    "label": "Review text",
    "format": "string"
  },
  "reviewDate": {
    "label": "Review date",
    "format": "string"
  },
  "reviewerName": {
    "label": "Reviewer",
    "format": "string"
  },
  "listingTitle": {
    "label": "Listing title",
    "format": "string"
  },
  "shopName": {
    "label": "Shop name",
    "format": "string"
  },
  "listingUrl": {
    "label": "Listing URL",
    "format": "string"
  },
  "sourceUrl": {
    "label": "Source URL",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Etsy Reviews Scraper](https://apify.com/khadinakbar/etsy-reviews-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/khadinakbar/etsy-reviews-scraper) 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`.
- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/khadinakbar/etsy-reviews-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).