How to Use an API to Scrape Walmart Product Page Details

Introduction

Walmart, one of the world's largest retailers, offers millions of products, each with detailed product pages containing essential information such as pricing, stock availability, and customer reviews. For data analysts, e-commerce businesses, and developers, automating the retrieval of this data helps with market analysis, price monitoring, and competitive intelligence.

Manually collecting product details is time-consuming and prone to errors. Using an API to scrape Walmart product details is a more efficient and accurate solution.

This article will guide you through how to use Luckdata API to obtain Walmart product page details. We'll also provide code examples in multiple programming languages to help developers get started quickly.

Why Use an API to Retrieve Walmart Product Details?

Automating Walmart product data scraping provides several advantages:

1. Increased Efficiency

Manually searching for product data is slow and error-prone. APIs allow automated retrieval of Walmart product information, ensuring fast and consistent data collection.

2. Accurate and Real-Time Data

Luckdata API extracts data directly from Walmart product pages, ensuring the information retrieved is up-to-date and accurate. This prevents errors due to manual input delays or outdated sources.

3. Useful for Various Business Scenarios

APIs can be used for:

  • Price Monitoring: Compare competitor prices and adjust pricing strategies.

  • Inventory Tracking: Check product availability to optimize supply chain management.

  • Review Analysis: Analyze customer feedback to improve products and services.

  • Market Research: Identify trending products and make informed business decisions.

Introduction to Luckdata API

Luckdata provides Walmart API services, along with support for other major platforms like Amazon, Google, and TikTok. This enables developers to access structured data efficiently.

Key Features of Luckdata API

  • Multi-Platform Support: Scrape data from Walmart, Amazon, Google, TikTok, and more.

  • Flexible Pricing: Different subscription levels to meet various business needs.

  • Multi-Language Support: Code samples are available in Python, Java, JavaScript, C#, Go, Shell, and more.

  • Professional Technical Support: 24/7 support ensures stable API performance.

How to Use the API to Retrieve Walmart Product Details

Luckdata Walmart API allows developers to extract various product details, including product names, prices, stock availability, ratings, and reviews.

API Request Format

The request URL follows this format:

https://luckdata.io/api/walmart-api/PCAYnucpTMjM?url={product_page_url}

Replace {product_page_url} with the specific Walmart product page URL. For example:

https://luckdata.io/api/walmart-api/PCAYnucpTMjM?url=https://www.walmart.com/ip/Meta-Quest-3-512GB/3551794083

The request header must include X-Luckdata-Api-Key, a unique API key for authentication.

API Request Code Examples

Python

import requests

headers = {

'X-Luckdata-Api-Key': 'your_api_key'

}

response = requests.get(

'https://luckdata.io/api/walmart-api/PCAYnucpTMjM?url=https://www.walmart.com/ip/Meta-Quest-3-512GB/3551794083',

headers=headers

)

print(response.json())

Java

import java.net.URI;

import java.net.http.HttpClient;

import java.net.http.HttpRequest;

import java.net.http.HttpResponse;

public class WalmartAPITest {

public static void main(String[] args) throws Exception {

HttpClient client = HttpClient.newHttpClient();

HttpRequest request = HttpRequest.newBuilder()

.uri(URI.create("https://luckdata.io/api/walmart-api/PCAYnucpTMjM?url=https://www.walmart.com/ip/Meta-Quest-3-512GB/3551794083"))

.header("X-Luckdata-Api-Key", "your_api_key")

.GET()

.build();

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

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

}

}

Shell

curl -X GET "https://luckdata.io/api/walmart-api/PCAYnucpTMjM?url=https://www.walmart.com/ip/Meta-Quest-3-512GB/3551794083" \

-H "X-Luckdata-Api-Key: your_api_key"

API Response Example

A successful API request returns a JSON response with product details like this:

{

"product_name": "Meta Quest 3 512GB",

"price": "$499.99",

"availability": "In Stock",

"ratings": "4.7",

"reviews": "3200+"

}

API Subscription and Pricing Plans

Luckdata API offers flexible pricing to meet different business needs:

  • Free Plan: 100 credits/month, 1 request per second.

  • Basic Plan: $87/month, 58,000 credits, 5 requests per second.

  • Pro Plan: $299/month, 230,000 credits, 10 requests per second.

  • Ultra Plan: $825/month, 750,000 credits, 15 requests per second.

All plans allow full access to Walmart product data, with differences in request rates and credit limits.

Common Issues and Solutions

1. API Request Fails – What to Do?

  • Ensure the API Key is correct and has sufficient request credits.

  • Verify that the Walmart product URL is correctly formatted.

2. How to Increase Request Speed?

  • Upgrade to a higher API subscription plan.

  • Use Luckdata’s proxy IP service to bypass request limits and improve data retrieval speed.

Conclusion

With Luckdata API, developers can efficiently retrieve Walmart product details, making it a valuable tool for e-commerce data analysis, price monitoring, inventory tracking, and more. This article introduced the API’s features, request formats, code examples, and common troubleshooting tips.

If you're interested in Luckdata API, consider signing up for a free trial to explore its powerful data extraction capabilities.