# Write Amazon listing copy for every SKU in a spreadsheet

**Use case:** 

Upload a spreadsheet of products with name, material and key features, and get a full Amazon listing for each SKU: title, five bullet points, description and backend search terms, each in its own column. The AI uses only the facts in your sheet. You get your file back as Excel, ready to paste into Seller Central.

## Input

```json
{
  "prompts": [
    "Write Amazon listing copy for {{Product Name}} (SKU {{SKU}}), made of {{Material}}. Key features: {{Key Features}}. Return title (under 150 characters), bullet_1, bullet_2, bullet_3, bullet_4, bullet_5 (each one benefit-led sentence), description (about 120 words) and search_terms (comma-separated, under 200 characters). Use only the facts given, do not invent specs."
  ],
  "spreadsheet_file": "https://api.apify.com/v2/key-value-stores/I40EWpLzQaVq08gCm/records/product-attributes-sample.csv",
  "system_prompt": "You are an experienced Amazon listing copywriter. Write clear, accurate, persuasive copy with no emojis and no claims beyond the facts provided.",
  "model": "anthropic/claude-haiku-4.5",
  "enable_web_search": false,
  "enable_file_parser": false,
  "temperature": 40,
  "max_tokens": 2048,
  "response_format": "json_object",
  "reasoning_effort": "default",
  "provider_sort": "default",
  "max_retries": 2,
  "concurrency": 4
}
```

## Output

```json
{
  "prompt": {
    "label": "Prompt",
    "format": "text"
  },
  "model": {
    "label": "Model",
    "format": "text"
  },
  "response": {
    "label": "Response",
    "format": "text"
  },
  "tools_used": {
    "label": "Tools used",
    "format": "array"
  },
  "cost_usd": {
    "label": "Cost (USD)",
    "format": "number"
  },
  "error": {
    "label": "Error",
    "format": "text"
  }
}
```

## About this Actor

This example demonstrates how to use [Run ChatGPT, Claude, Gemini & DeepSeek in Bulk (No API Key)](https://apify.com/fayoussef/bulk-llm-runner.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/fayoussef/bulk-llm-runner.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

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

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/fayoussef/bulk-llm-runner.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).