How to Get Search Data from Walmart API (Including Luckdata and Walmart Open API)

1. Using Walmart Open API to Get Search Data

Step 1: Register and Obtain an API Key

1. Visit the Walmart Developer website, register, and log into your account.

2. Create a new application and obtain an API key.

Step 2: Retrieve Search Data

Walmart provides a powerful Search API that helps you quickly retrieve product search data. Below is the basic format of the API request:

API Endpoint

https://api.walmartlabs.com/v1/search?apiKey=YOUR_API_KEY&query=SEARCH_TERM

• apiKey: The API key you obtained from Walmart's Developer Platform.

• query: The keyword you want to search for.

Optional Parameters

• categoryId: Filter search results by category.

• facet: Return the product's classification.

• sort: Sorting method (such as price, rating).

• numItems: The maximum number of items returned (up to 50).

Step 3: Parse the API Response

The API will return data in JSON format. You can parse the JSON data to extract product information such as price, name, product details, inventory, etc.

Example Response

{
"query": "laptop",
"totalResults": 1000,
"items": [
{
"itemId": "12345678",
"name": "Dell Inspiron Laptop",
"salePrice": 499.99,
"productUrl": "https://www.walmart.com/ip/12345678",
"imageUrl": "https://example.com/image.jpg",
"categoryPath": "Computers & Electronics"
},
{
"itemId": "23456789",
"name": "HP Pavilion Laptop",
"salePrice": 599.99,
"productUrl": "https://www.walmart.com/ip/23456789",
"imageUrl": "https://example.com/image2.jpg",
"categoryPath": "Computers & Electronics"
}
]
}

Step 4: Use the Data

By parsing the returned data, you can display the search results, show product prices, links, images, etc.

2. Using Luckdata Walmart API to Get Search Data

Luckdata provides a simplified solution that allows you to quickly obtain Walmart product search data without dealing with complex API calls. With Luckdata's Walmart API, you can retrieve search data in just a few simple steps.

1. Python Example

import requests
# Set the request headers, including your API key
headers = {
'X-Luckdata-Api-Key': 'your_Lucka_Walmart_api_key'
}
# Set request parameters (adjust the keyword as needed)
json_data = {}
# Send request to Luckdata Walmart API
response = requests.get(
'https://luckdata.io/api/walmart-API/get_hugc?page=1&keyword=computer',  # Query keyword
headers=headers,  # Request headers
)
# Print the returned JSON data
print(response.json())

2. Java Example

import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
HttpClient client = HttpClient.newHttpClient();
// Create a GET request
HttpRequest request = HttpRequest.newBuilder()
.uri(URI.create("https://luckdata.io/api/walmart-API/get_hugc?page=1&keyword=computer"))  // Query keyword
.GET()  // GET request
.setHeader("X-Luckdata-Api-Key", "your_Lucka_Walmart_api_key")  // API key
.build();
// Send request and get the response
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());

3. Go Example

package main
import (
"fmt"
"io"
"log"
"net/http"
)
func main() {
client := &http.Client{}
req, err := http.NewRequest("GET", "https://luckdata.io/api/walmart-API/get_hugc?page=1&keyword=computer", nil)  // Query keyword
if err != nil {
log.Fatal(err)
}
// Set the API key
req.Header.Set("X-Luckdata-Api-Key", "your_Lucka_Walmart_api_key")
// Send the request and get the response
resp, err := client.Do(req)
if err != nil {
log.Fatal(err)
}
defer resp.Body.Close()
bodyText, err := io.ReadAll(resp.Body)
if err != nil {
log.Fatal(err)
}
// Print the returned content
fmt.Printf("%s\n", bodyText)
}

3. Pricing for Luckdata Walmart API

Luckdata provides multiple pricing plans to cater to different needs. These plans are based on request rates and data volume, suitable for projects of different scales. The pricing details are as follows:

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

• Basic Plan: $87.0/month, 58,000 points per month, 5 requests per second.

• Pro Plan: $299.0/month, 230,000 points per month, 10 requests per second.

• Ultra Plan: $825.0/month, 750,000 points per month, 15 requests per second.

Luckdata's pricing plans are tiered based on the number of points and request rates needed each month, catering to both small and large-scale projects. The free plan is great for developers with small data needs, while the basic and pro plans are better for larger-scale projects. For enterprises that require high data volume and fast request rates, the Ultra plan provides robust performance.

4. Advantages of Luckdata Walmart API

The Walmart API provided by Luckdata is a very user-friendly interface, allowing developers to easily retrieve Walmart product search data without the complexity of handling raw API calls and responses. Its key advantages include:

1. Easy to Use: Offers code examples in various programming languages to help developers integrate quickly.

2. Efficient Data Retrieval: Quickly fetch Walmart product search data with support for pagination.

3. Flexible Pricing: Multiple pricing plans to meet different data needs, from small applications to enterprise-level solutions.

4. Professional Technical Support: Provides 24/7 technical support to ensure smooth API integration.

5. Data Security and Privacy Protection: Adheres to high standards of data security and privacy protection.

Conclusion

Whether you choose to use the Walmart Open API directly or leverage Luckdata's Walmart API to get search data, both methods allow you to efficiently integrate Walmart product search functionality. If you're looking for a simpler and quicker start, Luckdata's API is a great choice, as it saves you from dealing with complex development tasks. On the other hand, if you need more control over your API calls and data, Walmart's Open API is a perfect option.

We hope this article helps you get started with retrieving Walmart search data and enhances your development process.