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  • Any feature, you ask, we develop
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  • Customized solutions to fulfill data scraping goals

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It's effortless – just like Copy & Paste

  • Start

    Offer a listing of search result URLs to extract required detail.

  • Download

    Download data within different formats, including JSON, Excel, CSV, etc. You can easily link your data with Dropbox.

  • Schedule

    It's easy to schedule crawlers daily, weekly, or monthly to help you get updated search results.


Customer Insights

Extract product reviews and ratings to gain valuable insights into customer opinions, preferences, and sentiments. Analyze feedback to identify strengths, weaknesses, and areas for improvement.


Product Improvement

Utilize scraped reviews to pinpoint specific features or aspects of a product that customers appreciate or find lacking. This data can guide product enhancements and updates.


Competitor Analysis

Compare product ratings and reviews across different brands and sellers on Walmart. Gain a competitive edge by identifying areas where you can differentiate your products.


Quality Assurance

Monitor product reviews to ensure the quality and performance of your offerings. Address negative reviews promptly and enhance customer satisfaction.


Content Creation

Use review text and customer feedback to create compelling content for your website, marketing materials, and social media. Highlight positive reviews to build trust and credibility.


Marketing Strategy

Incorporate positive customer feedback and high ratings into your marketing campaigns. Showcase real customer experiences to attract potential buyers.


Product Selection

Analyze reviews and ratings to decide which products to add or remove from your inventory. Prioritize products with positive customer feedback.


User Experience Enhancement

Identify recurring issues or concerns mentioned in reviews. Addressing these concerns can improve the overall user experience and increase customer satisfaction.


Trend Identification

Analyze review trends to identify emerging customer preferences and market trends. Adapt your product offerings accordingly.


Sentiment Analysis

Extract sentiment from review text to gauge customer satisfaction levels. Use this data to assess the sentiment associated with different products.


Product Comparison

Compare reviews and ratings for similar products to help customers make informed purchasing decisions. Provide transparency by showcasing genuine feedback.


Feedback Integration

Utilize scraped reviews to gather user feedback for internal discussions, product development, and decision-making processes.


It’s Easy to Use! You can try for Free!

It only takes some mouse clicks and some copy-paste!

No coding required

Get data like the pros without knowing programming at all.

Support when you need it

The crawlers are easy to use, but we are here to help when you need help.

Extract data periodically

Configure the crawlers to operate on an hourly, daily, or weekly schedule, and have the extracted data conveniently delivered to your Dropbox.

Zero Maintenance

We will take care of all website structure changes and blocking from websites.


Frequently Asked Questions

A Walmart Product Reviews and Ratings Scraper is a tool or software designed to automatically gather and extract customer reviews and ratings from product listings on Walmart's online store. It retrieves review text, ratings, authors, dates, and other relevant information.
The scraper employs web scraping techniques to navigate Walmart's product pages, retrieve the underlying HTML data containing reviews and ratings, and extract the desired information. It automates the process of gathering this data at scale.
You can extract various data points, including review text, ratings, author names or identifiers, review dates, and other related information available in the product review sections.
Modern scraper tools, including those designed for Walmart, often offer user-friendly interfaces that do not require coding knowledge. These tools provide options to input your requirements and retrieve scraped data without writing code.
Yes, scraping data responsibly and complying with Walmart's terms of service is crucial. While scraping publicly available data is generally allowed, ensuring that your scraping practices are ethical and respecting user privacy is essential.
Some scraper tools allow you to target different Walmart country websites, enabling you to gather reviews and rating data from various regions.

The accuracy of the scraped data depends on the quality of the scraper tool and the consistency of Walmart's website structure. Well-designed scrapers can provide accurate data, though occasional variations might occur due to site layout changes.

Scraped data can be used for customer insights, product improvement, marketing strategies, competitor analysis, content creation, and data-driven decision-making processes.

Yes, there can be limitations. Walmart might have measures to prevent aggressive scraping, and the website's structure may change over time, necessitating updates to the scraper.

Review and adhere to Walmart's terms of service.

Use scraping responsibly and avoid overloading the website's servers.

Implement rate limiting to avoid scraping too quickly.

Regularly update your scraper to adapt to changes on Walmart's site.

Respect robots.txt guidelines.