Cooling signalUnknownMedium-risk permissions
SAWD Walmart Scraper icon

SAWD Walmart Scraper

SAWD Walmart product scraper

Users10Current public install base
Rating--Store average score
Reviews0Public review volume
Manifest versionV3Extension platform version
7-day growth-1Net users gained this week
7-day growth rate-9.09%Relative weekly velocity
Preview

SAWD Walmart Scraper Media preview

1 assets
Trend

30-day user trend

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User Growth Over Time

10101111112026年6月13日2026年6月16日2026年6月19日Latest: 10
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Growth overview

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1-day growthDeclining
-1-9.09%
7-day growthDeclining
-1-9.09%
30-day growthDeclining
-4-28.6%
Technical snapshot

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Version1.5
ManifestV3
Size92.43KiB
Languages1English
Published
Store updated
Last crawled
English
Overview

Product summary

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About this extension The SAWD Walmart Scraper is a powerful tool designed to help users quickly and efficiently extract detailed product data from the Walmart website. This extension is built to streamline the process of gathering product catalogs, including product titles, current prices, full descriptions, multiple images, and stock information. The scraped data is organized in a clear, structured table format directly within the ScrapeAnyWebsiteData.com interface, making it ready for immediate download and bulk data operations.

Features This extension provides a reliable two-step process for high-volume data gathering. Users can input a Walmart search or category page URL, and the scraper will automatically extract a comprehensive list of all individual product links found on that listing page. Alternatively, you can paste a pre-prepared list of single product URLs. The extension then systematically visits each link in a dedicated background tab, extracts the rich product details, and presents the final, export-ready data in a persistent table interface, complete with a function to download the collected information as a CSV file.

How to use Goto https://scrapeanywebsitedata.com/scrape-walmart-products/ and paste the listing page url in the first field and press get product urls and then after getting all single urls, just click on start scrape to get all product's data and it will list the data beneath the scrape button, Then click on Generate CSV to download the CSV file.

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