Amazon Data Scraping APIs

Build with amazon scraping api performance for modern amazon scraping workflows. Get fast, structured results with flexible integration options starting from free amazon data scraping for early testing and scaling smoothly into production-grade pipelines.

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Product Detail API

Amazon Product Detail API

Retrieve complete, up-to-date product information from any Amazon listing in real-time with a single API request.

Product Offer API

Amazon Product Offers API

Gain real-time access to all seller offers for any Amazon product, including pricing, fulfillment type, discounts, shipping details, and Buy Box ownership

Sales Analysis API

Amazon Sales Analytics API

Unlock deep performance and lifecycle intelligence for Amazon products. Access views, purchases, price history, BSR trends, and offer count changes.

Rank & Dimension API

Amazon Package Dimensions & BSR API

Gain visibility into Amazon logistics and product performance. Get real-time shipping dimensions, weights, and Best Sellers Rank (BSR) to monitor competition.

Search Listing API

Amazon Search Listing API

Programmatically retrieve ranked product results for any keyword or Amazon search URL, including titles, prices, images, ratings, and Prime visibility.

Product Lookup API

Amazon Product Lookup API

Convert any global product identifier, barcode, or keyword into real Amazon product data, including ASIN, title, category, rank, ratings, and images.

Category Listing API

Category Listing API Coming Soon

Browse and extract products from specific Amazon categories with filters and sorting options.

Seller Profile API

Amazon Seller Profile API

Programmatically reveal legal identity and business addresses through features that function like the amazon seller rating data api to access comprehensive metrics across all marketplaces.

Seller Products API

Seller Products API Coming Soon

Extract all products offered by a specific seller including inventory, pricing, and availability.

Seller Feedback API

Seller Feedback API Coming Soon

Access seller feedback, customer reviews, ratings history, and performance indicators.

Example Input and Output

Amazon Product Detail API Example

See how the amz data scraper api returns clean JSON with consistent fieldsideal when you need a real time amazon data scraper response for live checks and automated pipelines.

curl -X GET \

"https://realtime.easyparser.com/v1/request" \

-G \

-d api_key=YOUR_API_KEY \

-d platform=AMZ \

-d operation=DETAIL \

-d domain=.com \

-d output=json \

-d asin=B0CJB6V2L5 \

import requests

import json

# set up the request parameters

params = {

"api_key": "YOUR_API_KEY",

"platform": "AMZ",

"operation": "DETAIL",

"domain": ".com",

"output": "json",

"asin": "B0CJB6V2L5",

}

# make the http GET request to Easyparser API

api_result = requests.get("https://realtime.easyparser.com/v1/request", params)

# print the JSON response from Easyparser API

print(json.dumps(api_result.json()))

const axios = require('axios');

// set up the request parameters

const params = {

api_key: 'YOUR_API_KEY',

platform: 'AMZ',

operation: 'DETAIL',

domain: '.com',

output: 'json',

asin: 'B0CJB6V2L5',

};

// make the http GET request to Easyparser API

axios.get('https://realtime.easyparser.com/v1/request', { params })

.then(response => console.log(response.data));

<?php

// set up the request parameters

$params = array(

'api_key' => 'YOUR_API_KEY',

'platform' => 'AMZ',

'operation' => 'DETAIL',

'domain' => '.com',

'output' => 'json',

'asin' => 'B0CJB6V2L5',

);

// make the http GET request to Easyparser API

$url = 'https://realtime.easyparser.com/v1/request?' . http_build_query($params);

$response = file_get_contents($url);

echo $response;

?>

package main

import (

"fmt"

"io"

"net/http"

"net/url"

)

func main() {

// set up the request parameters

params := url.Values{}

params.Add("api_key", "YOUR_API_KEY")

params.Add("platform", "AMZ")

params.Add("operation", "DETAIL")

params.Add("domain", ".com")

params.Add("output", "json")

params.Add("asin", "B0CJB6V2L5")

requestUrl := "https://realtime.easyparser.com/v1/request?" + params.Encode()

// make the request to Easyparser API

resp, _ := http.Get(requestUrl)

defer resp.Body.Close()

body, _ := io.ReadAll(resp.Body)

fmt.Println(string(body))

}

using System;

using System.Net.Http;

using System.Threading.Tasks;

using System.Collections.Generic;

class Program

{

static async Task Main(string[] args)

{

// set up the request parameters

var client = new HttpClient();

var query = new Dictionary<string, string> {

{ "api_key", "YOUR_API_KEY" },

{ "platform", "AMZ" },

{ "operation", "DETAIL" },

{ "domain", ".com" },

{ "output", "json" },

{ "asin", "B0CJB6V2L5" },

};

var queryString = await new FormUrlEncodedContent(query).ReadAsStringAsync();

var url = "https://realtime.easyparser.com/v1/request?" + queryString;

// make the request to Easyparser API

var response = await client.GetStringAsync(url);

Console.WriteLine(response);

}

}

import java.net.URI;

import java.net.http.HttpClient;

import java.net.http.HttpRequest;

import java.net.http.HttpResponse;

import java.net.URLEncoder;

import java.nio.charset.StandardCharsets;

import java.util.Map;

import java.util.LinkedHashMap;

public class EasyparserExample {

public static void main(String[] args) {

// set up the request parameters

HttpClient client = HttpClient.newHttpClient();

Map<String, String> params = new LinkedHashMap<>();

params.put("api_key", "YOUR_API_KEY");

params.put("platform", "AMZ");

params.put("operation", "DETAIL");

params.put("domain", ".com");

params.put("output", "json");

params.put("asin", "B0CJB6V2L5");

StringBuilder sb = new StringBuilder();

for (Map.Entry<String, String> entry : params.entrySet()) {

if (sb.length() > 0) sb.append("&");

sb.append(URLEncoder.encode(entry.getKey(), StandardCharsets.UTF_8))

.append("=")

.append(URLEncoder.encode(entry.getValue(), StandardCharsets.UTF_8));

}

String url = "https://realtime.easyparser.com/v1/request?" + sb.toString();

// make the request to Easyparser API

HttpRequest request = HttpRequest.newBuilder().uri(URI.create(url)).build();

HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());

System.out.println(response.body());

}

}

Next Step
API Response Example
Next Step
OUTPUT

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Why Choose Us?

Why Teams Choose Easyparser for Amazon Scraping?

Production-ready infrastructure that works like an amazon data extraction api, built to handle localization, volume, and anti-blocking while keeping data structured and usable.

Built for Scale & High Volume

Run thousands of requests in parallel without bottlenecks. Batch product, search, and offer jobs in one workflow designed for high-throughput amazon data scraping pipelines.

Real-Time, Fresh Data

Always get up-to-date pricing, stock, and availability. Built like a real time amazon data scraper so every request reflects live page conditions.

Geo-Accurate Amazon Data

Amazon results change by location your data should too. Accurate country/city/ZIP targeting supports web scraping amazon scenarios with localized prices, sellers, taxes, and availability.

Reliable Job Tracking & Auto-Retry

Blocks and CAPTCHAs shouldn't break your pipeline. Automatic tracking, retries, and completion checks keep scraping amazon product data stable without manual babysitting.

Anti-Blocking by Default

No IP bans, no fragile scraping fixes. Built-in retry and protection layers keep amazon product information scraping running smoothly even under heavy Amazon defenses.

Full Traceability & Auditing

Every request is logged and traceable with a unique result ID, making the system work like an amazon data extraction api for compliance, audits, and long-running jobs that require consistent, verifiable results.

Amazon Scraping API Features
amazon product detail api amazon product url scraping amazon price and availability api amazon product variations price range amazon product specifications api catalog enrichment amazon product details
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