# Amazon Explorer (`jupri/amazon-explorer`) Actor
💫 Scrape Amazon products
- **URL**: https://apify.com/jupri/amazon-explorer.md
- **Developed by:** [cat](https://apify.com/jupri) (community)
- **Categories:** E-commerce
- **Stats:** 383 total users, 1 monthly users, 78.6% runs succeeded, 4 bookmarks
- **User rating**: No ratings yet
## Pricing
$30.00/month + usage
To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have.
Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors
## 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.md):
```bash
npm install apify-client
```
In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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
### Welcome to Amazon Scraper
#### About Amazon.com
**Amazon.com, Inc.** is an American [multinational](https://en.wikipedia.org/wiki/Multinational_corporation "Multinational corporation") [technology company](https://en.wikipedia.org/wiki/Technology_company "Technology company") which focuses on [e-commerce](https://en.wikipedia.org/wiki/E-commerce "E-commerce"), [cloud computing](https://en.wikipedia.org/wiki/Cloud_computing "Cloud computing"), [digital streaming](https://en.wikipedia.org/wiki/Digital_streaming "Digital streaming"), and [artificial intelligence](https://en.wikipedia.org/wiki/Artificial_intelligence "Artificial intelligence"). It has been referred to as "one of the most influential economic and cultural forces in the world", and is one of the [world's most valuable brands](https://en.wikipedia.org/wiki/List_of_most_valuable_brands "List of most valuable brands"). It is one of the [Big Five](https://en.wikipedia.org/wiki/Big_Tech "Big Tech") American [information technology](https://en.wikipedia.org/wiki/Information_technology "Information technology") companies, alongside [Alphabet](https://en.wikipedia.org/wiki/Alphabet_Inc. "Alphabet Inc."), [Apple](https://en.wikipedia.org/wiki/Apple_Inc. "Apple Inc."), [Meta](https://en.wikipedia.org/wiki/Meta_Platforms "Meta Platforms"), and [Microsoft](https://en.wikipedia.org/wiki/Microsoft "Microsoft").
# Actor input Schema
## `query` (type: `string`):
Keywords or search-url (https://www.amazon.com/s?k=something) or ASIN(s) separated by space or comma
## `limit` (type: `integer`):
Number of results
## `sort` (type: `string`):
Sorting key
## `order` (type: `string`):
Sorting order
## `market` (type: `string`):
Marketplace (default=US)
## `location` (type: `string`):
Delivery location (country-code)
## `currency` (type: `string`):
No description
## `language` (type: `string`):
example: en-US
## `department` (type: `string`):
No description
## `brand` (type: `string`):
example: Microsoft
## `min_price` (type: `integer`):
No description
## `max_price` (type: `integer`):
No description
## `rating` (type: `string`):
Avg. Customer Review
## `arrival` (type: `string`):
No description
## `out_of_stock` (type: `boolean`):
No description
## `description` (type: `boolean`):
Include short description
## `variation` (type: `boolean`):
Include variation information
## `dev_proxy_config` (type: `object`):
💡 Supported protocol:
HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port
Example: socks5://example.com:9000
## `dev_custom_headers` (type: `array`):
💡 Additional HTTP Headers
## `dev_custom_cookies` (type: `array`):
💡 Additional HTTP Cookies
## `dev_transform_fields` (type: `array`):
💡 Transform the resulting output. Select only needed fields.
For nested object use DOT. For example: address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example: images.0.url
## `dev_dataset_name` (type: `string`):
💡 Save results into custom named Dataset, use mask to customize dataset name
{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}
## `dev_dataset_clear` (type: `boolean`):
Clear Dataset before insert/update.
## `dev_no_strip` (type: `boolean`):
💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)
## `dev_fileupload` (type: `string`):
💡 Upload your file and copy & paste the URL somewhere.
## Actor input object example
```json
{
"query": "B013OVBYZG B00ZSI7Y3U B09S8G8RPK B08G8TDCJ2",
"limit": 5,
"market": "US"
}
````
# 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 '' with your token
const client = new ApifyClient({
token: '',
});
// Prepare Actor input
const input = {
"query": "B013OVBYZG B00ZSI7Y3U B09S8G8RPK B08G8TDCJ2",
"limit": 5
};
// Run the Actor and wait for it to finish
const run = await client.actor("jupri/amazon-explorer").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 '' with your token.
client = ApifyClient("")
# Prepare the Actor input
run_input = {
"query": "B013OVBYZG B00ZSI7Y3U B09S8G8RPK B08G8TDCJ2",
"limit": 5,
}
# Run the Actor and wait for it to finish
run = client.actor("jupri/amazon-explorer").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 '{
"query": "B013OVBYZG B00ZSI7Y3U B09S8G8RPK B08G8TDCJ2",
"limit": 5
}' |
apify call jupri/amazon-explorer --silent --output-dataset
```
## MCP server setup
```json
{
"mcpServers": {
"apify": {
"command": "npx",
"args": [
"mcp-remote",
"https://mcp.apify.com/?tools=jupri/amazon-explorer",
"--header",
"Authorization: Bearer "
]
}
}
}
```
## OpenAPI specification
```json
{
"openapi": "3.0.1",
"info": {
"title": "Amazon Explorer",
"description": "💫 Scrape Amazon products",
"version": "0.2",
"x-build-id": "28AdvNTBFGtnro8DF"
},
"servers": [
{
"url": "https://api.apify.com/v2"
}
],
"paths": {
"/acts/jupri~amazon-explorer/run-sync-get-dataset-items": {
"post": {
"operationId": "run-sync-get-dataset-items-jupri-amazon-explorer",
"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": {
"$ref": "#/components/schemas/inputSchema"
}
}
}
},
"parameters": [
{
"name": "token",
"in": "query",
"required": true,
"schema": {
"type": "string"
},
"description": "Enter your Apify token here"
}
],
"responses": {
"200": {
"description": "OK"
}
}
}
},
"/acts/jupri~amazon-explorer/runs": {
"post": {
"operationId": "runs-sync-jupri-amazon-explorer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor and returns information about the initiated run in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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": {
"$ref": "#/components/schemas/runsResponseSchema"
}
}
}
}
}
}
},
"/acts/jupri~amazon-explorer/run-sync": {
"post": {
"operationId": "run-sync-jupri-amazon-explorer",
"x-openai-isConsequential": false,
"summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
"tags": [
"Run Actor"
],
"requestBody": {
"required": true,
"content": {
"application/json": {
"schema": {
"$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",
"properties": {
"query": {
"title": "🛒 Query",
"type": "string",
"description": "Keywords or search-url (https://www.amazon.com/s?k=something) or ASIN(s) separated by space or comma"
},
"limit": {
"title": "Limit",
"type": "integer",
"description": "Number of results"
},
"sort": {
"title": "Sorting",
"enum": [
"featured",
"price",
"review",
"date",
"bestseller"
],
"type": "string",
"description": "Sorting key"
},
"order": {
"title": "Order",
"enum": [
"asc",
"desc"
],
"type": "string",
"description": "Sorting order"
},
"market": {
"title": "🛒 Portal",
"enum": [
"US",
"AU",
"BE",
"BR",
"CA",
"EG",
"FR",
"DE",
"IN",
"IT",
"JP",
"MX",
"NL",
"PL",
"SA",
"SG",
"ES",
"SE",
"TR",
"AE",
"UK"
],
"type": "string",
"description": "Marketplace (default=US)",
"default": "US"
},
"location": {
"title": "🛒 Location",
"enum": [
"AF",
"AX",
"AL",
"DZ",
"AS",
"AD",
"AO",
"AI",
"AG",
"AR",
"AM",
"AW",
"AU",
"AT",
"AZ",
"BS",
"BH",
"BD",
"BB",
"BY",
"BE",
"BZ",
"BJ",
"BM",
"BT",
"BO",
"BQ",
"BA",
"BW",
"BV",
"BR",
"IO",
"BN",
"BG",
"BF",
"BI",
"KH",
"CM",
"CA",
"CV",
"KY",
"CF",
"TD",
"CL",
"CN",
"CX",
"CC",
"CO",
"KM",
"CG",
"CD",
"CK",
"CR",
"CI",
"HR",
"CW",
"CY",
"CZ",
"DK",
"DJ",
"DM",
"DO",
"EC",
"EG",
"SV",
"GQ",
"ER",
"EE",
"ET",
"FK",
"FO",
"FJ",
"FI",
"FR",
"GF",
"PF",
"TF",
"GA",
"GM",
"GE",
"DE",
"GH",
"GI",
"GR",
"GL",
"GD",
"GP",
"GT",
"GG",
"GN",
"GW",
"GY",
"HT",
"HM",
"VA",
"HN",
"HK",
"HU",
"IS",
"IN",
"ID",
"IQ",
"IE",
"IM",
"IL",
"IT",
"JM",
"JP",
"JE",
"JO",
"KZ",
"KE",
"KI",
"XK",
"KW",
"KG",
"LA",
"LV",
"LB",
"LS",
"LR",
"LY",
"LI",
"LT",
"LU",
"MO",
"MK",
"MG",
"MW",
"MY",
"MV",
"ML",
"MT",
"MH",
"MQ",
"MR",
"MU",
"YT",
"MX",
"FM",
"MD",
"MC",
"MN",
"ME",
"MS",
"MA",
"MZ",
"MM",
"NA",
"NR",
"NP",
"NL",
"AN",
"NC",
"NZ",
"NI",
"NE",
"NG",
"NU",
"NF",
"NO",
"OM",
"PK",
"PW",
"PS",
"PA",
"PG",
"PY",
"PE",
"PH",
"PN",
"PL",
"PT",
"QA",
"KR",
"RE",
"RO",
"RU",
"RW",
"BL",
"SH",
"KN",
"LC",
"MF",
"PM",
"VC",
"WS",
"SM",
"ST",
"SA",
"SN",
"RS",
"SC",
"SL",
"SG",
"SX",
"SK",
"SI",
"SB",
"SO",
"ZA",
"GS",
"ES",
"LK",
"SR",
"SJ",
"SZ",
"SE",
"CH",
"TW",
"TJ",
"TZ",
"TH",
"TL",
"TG",
"TK",
"TO",
"TT",
"TN",
"TR",
"TM",
"TC",
"TV",
"UG",
"UA",
"AE",
"GB",
"UM",
"UY",
"UZ",
"VU",
"VE",
"VN",
"VG",
"WF",
"EH",
"YE",
"ZM",
"ZW"
],
"type": "string",
"description": "Delivery location (country-code)"
},
"currency": {
"title": "🛒 Currency",
"type": "string",
"description": ""
},
"language": {
"title": "🛒 Language",
"type": "string",
"description": "example: en-US"
},
"department": {
"title": "Department",
"enum": [
"alexa-skills",
"appliances",
"arts-crafts",
"automotive",
"baby-products",
"beauty",
"digital-music",
"digital-text",
"dvd",
"electronics",
"fashion",
"garden",
"gift-cards",
"grocery",
"handmade",
"hpc",
"industrial",
"instant-video",
"kindle-accessories",
"lawngarden",
"local-services",
"magazines",
"mi",
"misc",
"mobile",
"mobile-apps",
"office-products",
"pets",
"popular",
"software",
"sporting",
"stripbooks",
"tools",
"toys-and-games",
"videogames"
],
"type": "string",
"description": ""
},
"brand": {
"title": "Brand",
"type": "string",
"description": "example: Microsoft"
},
"min_price": {
"title": "Price",
"type": "integer",
"description": ""
},
"max_price": {
"title": "",
"type": "integer",
"description": ""
},
"rating": {
"title": "⭐ Ratings",
"enum": [
"5",
"4",
"3",
"2",
"1"
],
"type": "string",
"description": "Avg. Customer Review"
},
"arrival": {
"title": "Arrival Date",
"enum": [
"30",
"90",
"-1"
],
"type": "string",
"description": ""
},
"out_of_stock": {
"title": "Include out of stock",
"type": "boolean",
"description": ""
},
"description": {
"title": "Get description",
"type": "boolean",
"description": "Include short description"
},
"variation": {
"title": "Get variation",
"type": "boolean",
"description": "Include variation information"
},
"dev_proxy_config": {
"title": "🌐 PROXY NETWORKING",
"type": "object",
"description": "💡 Supported protocol:
HTTP(S), SOCKS5
{http|socks5}://{user:pass}@{hostname|ip-address}:port
Example: socks5://example.com:9000"
},
"dev_custom_headers": {
"title": "📜 HTTP HEADERS",
"type": "array",
"description": "💡 Additional HTTP Headers",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_custom_cookies": {
"title": "🍰 HTTP COOKIES",
"type": "array",
"description": "💡 Additional HTTP Cookies",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_transform_fields": {
"title": "♻️ CUSTOM FIELD",
"type": "array",
"description": "💡 Transform the resulting output. Select only needed fields.
For nested object use DOT. For example: address.streetAddress
For nested array use NUMBER (index of array element starting from index=0). For example: images.0.url
",
"items": {
"type": "object",
"required": [
"key",
"value"
],
"properties": {
"key": {
"type": "string",
"title": "Key"
},
"value": {
"type": "string",
"title": "Value"
}
}
}
},
"dev_dataset_name": {
"title": "📁 CUSTOM STORAGE",
"type": "string",
"description": "💡 Save results into custom named Dataset, use mask to customize dataset name
{ACTOR} = actor name
{DATE} = date (YYYYMMDD)
{TIME} = time (HHMMSS)
This masks can be used to autogenerate Dataset Name.
example: data-{DATE}
Depending on today date the dataset name will be: data-20230603
default: data-{ACTOR}-{DATE}-{TIME}"
},
"dev_dataset_clear": {
"title": "Clear Storage",
"type": "boolean",
"description": "Clear Dataset before insert/update."
},
"dev_no_strip": {
"title": "Disable data cleansing",
"type": "boolean",
"description": "💡 Keep/Save empty values (NULL, FALSE, empty ARRAY, empty OBJECT, empty STRING)"
},
"dev_fileupload": {
"title": "📁 FILE UPLOADER",
"type": "string",
"description": "💡 Upload your file and copy & paste the URL somewhere."
}
}
},
"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
}
}
}
}
}
}
}
}
}
}
```