Walmart Listings Scraper
Pay $1.00 for 1,000 products
Walmart Listings Scraper
Pay $1.00 for 1,000 products
The Walmart Listings Scraper extracts product data from Walmart category and search pages, capturing names, prices, sponsorship status, brands, images, and URLs. Ideal for market research, price tracking, and competitor analysis.
You can access the Walmart Listings Scraper programmatically from your own JavaScript applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6 token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11 "searchUrls": [
12 "https://www.walmart.com/browse/mens-clothing/5438_133197_5162252?povid=ApparelNav_APPAREL_FLP_CP_Hubspokes_Cat_Mens",
13 "https://www.walmart.com/search?typeahead=&query=garden%20soil"
14 ]
15};
16
17// Run the Actor and wait for it to finish
18const run = await client.actor("piotrv1001/walmart-listings-scraper").call(input);
19
20// Fetch and print Actor results from the run's dataset (if any)
21console.log('Results from dataset');
22console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
23const { items } = await client.dataset(run.defaultDatasetId).listItems();
24items.forEach((item) => {
25 console.dir(item);
26});
27
28// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docsWalmart Listings Scraper API in JavaScript
The Apify API client for JavaScript is the official library that allows you to use Walmart Listings Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.
Install the apify-client
npm install apify-clientOther API clients include:
Piotr VassevActor Metrics
1 monthly user
-
1 bookmark
>99% runs succeeded
Created in Feb 2025
Modified 2 days ago
