How to scrape Walmart products

Walmart, one of the world's largest retailers, offers millions of products across various categories. These product listings represent an invaluable treasure trove of data for businesses.

You can do market research, understand the market demand, pricing strategies. Analyzing product listing and pricing from competitors. Walmart also has customer reviews, feedback on specific products. By scraping Walmart product data, you can bootstrap your business.

To build a Walmart scraper, it may take weeks or months to complete because Walmart has a lot of categories, products. Walmart even blocks some scrapers by IPs,... and can be slow when too many people visit. But with SerpApi, you don’t need to worry about all these distractions, we provide a high-quality Walmart scraper, that helps you scrape everything products, data on Walmart with a fast response time. Spend your time to grow your business!

Setting up a SerpApi account

SerpApi offers a free plan for newly created accounts. Head to the sign-up page to register an account and complete your first search with our interactive playground. When you want to do more searches with us, please visit the pricing page.

Once you are familiar with all results, you can utilize SERP APIs using your API Key.

Scrape your first Walmart products with SerpApi

Head to the Walmart Engine from the documentation on SerpApi for details.

In this tutorial, we will scrape and extract the organic results for all "Coffee" product listings on Walmart. The data contains: "product_id", "title", "thumbnail", "rating", "reviews", "seller_name", "price", and more. You can also scrape more information with SerpApi.

First, you need to install the SerpApi client library.

pip install google-search-results

Set up the SerpApi credentials and search.

from serpapi import GoogleSearch
import os, json

params = {
    'api_key': 'YOUR_API_KEY',         # your serpapi api
    'engine': 'walmart',               # SerpApi search engine	
    'query': 'Coffee'
}

To retrieve the Walmart reviews for a given search query, you can use the following code:

results = GoogleSearch(params).get_dict()['organic_results']

You can store Walmart reviews JSON data in databases or export them to a CSV file.

import csv

header = ['product_id', 'title', 'thumbnail', 'rating', 'reviews', 'seller_name', 'price']

with open('walmart_products.csv', 'w', encoding='UTF8', newline='') as f:
    writer = csv.writer(f)

    writer.writerow(header)

    for item in results:
        print(item)
        writer.writerow([item.get('product_id'), item.get('title'), item.get('thumbnail'), item.get('rating'), item.get('reviews'), item.get('seller_name'), item.get('primary_offer', {}).get('offer_price')])

This example is using Python, you can use your favorite programming languages likes Ruby, NodeJS, Java, PHP....

If you have any questions, please feel free to contact me.