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Walmart Reviews Scraper

Try for free

Pay $0.30 for 1,000 Reviews

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Walmart Reviews Scraper

Walmart Reviews Scraper

tri_angle/walmart-reviews-scraper
Try for free

Pay $0.30 for 1,000 Reviews

Quickly scrape product reviews by search URL from walmart.com and walmart.ca

Do you want to learn more about this Actor?

Get a demo

You can access the Walmart Reviews 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    "startUrls": [
12        {
13            "url": "https://walmart.com/search?q=tshirt"
14        }
15    ],
16    "maxProductsPerStartUrl": 10,
17    "maxReviewsPerProduct": 10
18};
19
20// Run the Actor and wait for it to finish
21const run = await client.actor("tri_angle/walmart-reviews-scraper").call(input);
22
23// Fetch and print Actor results from the run's dataset (if any)
24console.log('Results from dataset');
25console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
26const { items } = await client.dataset(run.defaultDatasetId).listItems();
27items.forEach((item) => {
28    console.dir(item);
29});
30
31// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Walmart Reviews Scraper API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Walmart Reviews Scraper API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

npm install apify-client

Other API clients include:

Developer
Maintained by Apify
Actor metrics
  • 15 monthly users
  • 4 stars
  • 90.5% runs succeeded
  • 13 hours response time
  • Created in Mar 2024
  • Modified about 1 month ago
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