# **Amazon Search Prompt** (`dtrungtin/amazon-search-prompt`) Actor

Scrape Amazon listings from a **plain-English prompt** — no URL building required. Describe what you're looking for (for example, *"gaming laptop under 1000 USD with RTX 4060"*), and the Actor uses AI to turn your prompt into multiple targeted Amazon search URLs, scrapes the matching listings

- **URL**: https://apify.com/dtrungtin/amazon-search-prompt.md
- **Developed by:** [Tin](https://apify.com/dtrungtin) (community)
- **Categories:** E-commerce, AI
- **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $30.00 / 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/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use 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

### What does Amazon Search Prompt do?

**Amazon Search Prompt** lets you scrape [Amazon](https://www.amazon.com/) products from a **plain-English prompt** — no URL building required. Describe what you're looking for (for example, *"best-rated mechanical keyboards under $100"*), and the Actor uses AI to turn your prompt into multiple targeted Amazon search URLs, scrapes the matching products, and stores them as a structured dataset.

Under the hood, it chains two Actors together:

1. [AI Scraper Input Generator](https://apify.com/dtrungtin/ai-scraper-input-generator) converts your prompt into Amazon search URLs.
2. [Amazon Scraper](https://apify.com/dtrungtin/amazon-scraper) crawls those URLs and extracts the product details.

Because it runs on the Apify platform, you get **API access, scheduling, monitoring, and integrations** (Make, Zapier, webhooks, Google Drive, and more) out of the box.

### Why use Amazon Search Prompt?

- **No manual URL construction** — describe your intent in natural language, and the AI handles Amazon's search URL format, filters, and query variations.
- **Better coverage** — one prompt becomes several targeted search URL variations, surfacing products a single query would miss.
- **Price monitoring made simple** — schedule a daily run of "wireless earbuds under $50" and feed the results into a spreadsheet or alerting workflow.
- **Market and competitor research** — track what's listed, at what price, and from which brands across an entire product category.
- **Automation-ready** — predictable JSON output that plugs straight into data pipelines and integrations.

### How to use Amazon Search Prompt

1. Open the Actor in Apify Console.
2. In the **Input** tab, enter your search prompt in plain English.
3. Optionally adjust **Max items** to limit how many products are scraped.
4. Set the Actor's memory to **128 MB or less** in the run options (the Actor enforces this limit, since the heavy lifting happens in the chained Actors).
5. Click **Start** and wait for the run to finish.
6. Open the **Output** tab or the dataset API URL to view and export your results.

### Input

Set the input in the Actor's Input tab. Only the prompt is required.

```json
{
    "prompt": "best-rated mechanical keyboards under $100",
    "maxItems": 50
}
````

| Field | Type | Required | Description |
| --- | --- | --- | --- |
| prompt | string | Yes | Plain-English description of what to search for on Amazon. Be specific — brand, price range, and category all improve results. |
| maxItems | integer | No | Maximum number of product pages to scrape (default 10, maximum 500). |
| numberOfUrls | integer | No | How many Amazon search URLs to generate from the prompt (default 3). |

### Output

Each scraped Amazon product is stored as one item in the default dataset. You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

Example dataset item:

```json
{
    "url": "https://www.amazon.com/dp/B0C836NB5X",
    "title": "Calibrite Display Pro HL",
    "asin": "B0C836NB5X",
    "price": 229.99,
    "priceWithCurrency": "$229.99",
    "brandName": "Calibrite",
    "modelNumber": "CCDIS3HL",
    "productDimensions": "4.9 x 1.2 x 6.5 inches",
    "images": ["https://m.media-amazon.com/images/I/..."],
    "soldText": "200+ bought in past month",
    "aboutThisItem": ["High-accuracy display calibration", "..."]
}
```

### Data table

| Field | Type | Description |
| --- | --- | --- |
| url | string | Direct link to the Amazon product page |
| title | string | Product title |
| asin | string | Amazon Standard Identification Number |
| price | number | Product price |
| priceWithCurrency | string | Formatted price with currency symbol |
| brandName | string | Product brand |
| modelNumber | string | Manufacturer model number |
| productDimensions | string | Physical product dimensions |
| images | array | Product image URLs |
| aboutThisItem | array | Bullet-point highlights from the listing |

Exact fields may vary slightly by product, since not all Amazon listings expose the same attributes.

### How much does it cost to scrape Amazon with a prompt?

A run consists of three parts: this orchestrator Actor (very light — it runs at 128 MB and mostly waits), one short AI Scraper Input Generator run, and the Amazon Scraper run whose cost scales with **Max items**. For small runs (tens of items) the total cost is typically under a dollar. Use **Max items** to cap the scraping cost of each run. If you are on the Apify free tier, start with a small `maxItems` value to see actual consumption before scaling up.

### Tips

- **Be specific in your prompt.** "Sony WH-1000XM5 headphones under $250" produces much better search URLs than "headphones".
- **Start small.** Run with a low `maxItems` first to check that the generated URLs match your intent, then scale up (maximum 500).
- **Schedule it.** Add the Actor to a Schedule to monitor prices or new products daily, and connect a webhook or integration to act on the results.
- **Keep memory at 128 MB.** The Actor intentionally refuses to run with more, because the chained Actors do the actual work — extra memory would only add cost.

### FAQ, disclaimers, and support

**Is it legal to scrape Amazon?** This Actor extracts publicly available product data. You are responsible for reviewing and complying with Amazon's Terms of Service and applicable laws (including data protection regulations) before using the results, especially in automated or commercial workflows.

**Why did my run fail with a memory error?** This Actor requires memory of 128 MB or less. Lower the memory setting in the run options and start it again.

**Why are there no results?** If the AI could not generate valid search URLs from your prompt, the run fails with a clear error — rephrase the prompt with more specific product terms and try again.

Found a bug or need a custom feature? Open an issue in the Actor's **Issues** tab — custom solutions and tailored versions are available on request.

# Actor input Schema

## `prompt` (type: `string`):

Describe what you want to search for on Amazon. The Actor will generate search URLs from this prompt and scrape the results.

## `maxItems` (type: `integer`):

Limit of detail/product pages to be scraped

## Actor input object example

```json
{
  "prompt": "gaming laptop under 1000 USD with RTX 4060",
  "maxItems": 10
}
```

# 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 = {
    "prompt": "gaming laptop under 1000 USD with RTX 4060",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("dtrungtin/amazon-search-prompt").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 = {
    "prompt": "gaming laptop under 1000 USD with RTX 4060",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("dtrungtin/amazon-search-prompt").call(run_input=run_input)

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

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

```

## CLI example

```bash
echo '{
  "prompt": "gaming laptop under 1000 USD with RTX 4060",
  "maxItems": 10
}' |
apify call dtrungtin/amazon-search-prompt --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dtrungtin/amazon-search-prompt",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "**Amazon Search Prompt**",
        "description": "Scrape Amazon listings from a **plain-English prompt** — no URL building required. Describe what you're looking for (for example, *\"gaming laptop under 1000 USD with RTX 4060\"*), and the Actor uses AI to turn your prompt into multiple targeted Amazon search URLs, scrapes the matching listings",
        "version": "0.0",
        "x-build-id": "gsWsCzyLHj4A0BmeX"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/dtrungtin~amazon-search-prompt/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-dtrungtin-amazon-search-prompt",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/dtrungtin~amazon-search-prompt/runs": {
            "post": {
                "operationId": "runs-sync-dtrungtin-amazon-search-prompt",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/dtrungtin~amazon-search-prompt/run-sync": {
            "post": {
                "operationId": "run-sync-dtrungtin-amazon-search-prompt",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "prompt"
                ],
                "properties": {
                    "prompt": {
                        "title": "Prompt Keywords",
                        "type": "string",
                        "description": "Describe what you want to search for on Amazon. The Actor will generate search URLs from this prompt and scrape the results.",
                        "default": "gaming laptop under 1000 USD with RTX 4060"
                    },
                    "maxItems": {
                        "title": "Max items",
                        "minimum": 1,
                        "maximum": 5000,
                        "type": "integer",
                        "description": "Limit of detail/product pages to be scraped",
                        "default": 10
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```