Scrape Walmart Product Review Data- Walmart Product Review Data Collection Services

Scraping Walmart product reviews is helpful for sellers, businesses, and consumers looking to collect deep insights and make informed decisions. Relying on a professional service provider is essential to scrape accurate data. Hence, we offer seamless Walmart product review data collection services at iWeb Data Scraping to collect review and rating data, including product names, reviews, ratings, review text, etc. Our Walmart product review data extraction services ensure you obtain meaningful, well-structured, and usable data. Scrape Walmart product review data to evaluate the quality and performance of products based on the customer's experiences. The reviews may include information related to functionality, durability, usability, and other aspects of the product that will help you assess its quality and make informed purchasing decisions. Tracking customer complaints will help you make product enhancement strategies and effectively address customer needs. We help scrape the data across the USA, UK, UAE, Canada, India, Australia, Germany, France, and Spain.


About Walmart Product Review Data

Users who purchase a product from Walmart share their feedback after using it. These product reviews can help you analyze where your product is going wrong and effectively signals you were to improve so as to drive more sales. It helps other buyers to think before considering the product from this eCommerce platform.

Scrape Walmart Product Review Data

To improve the product, you must have reference data for market research to list your product on the eCommerce giant. We help you get this data for Walmart product reviews globally.


Data Fields

At iWeb Data Scraping, We Scrape the following data fields from the Walmart website to get product review data.
  • Item Name
  • ASIN
  • Item Price
  • No. Of Reviews
  • Review Content
  • Review Mention
  • Review Date
  • Reviewer Name
  • Verified Tag
  • # Reviews With 5 Star Ratings
  • Reviews With 4 Star Ratings
  • Reviews With 3 Star Ratings
  • Reviews With 2 Star Ratings
  • Reviews With 1 Star Ratings
  • Overall Star Ratings

Use Cases


Launch Competitive Product

Scrape product review data from Walmart to do market research for your product listing and improvement. Develop a Competitive product using this data and get more customers.


Analyze Market

Using product review data, you can study how the market behaves and how your competitors drive sales. After knowing these, you can plan your marketing wisely.


Optimize Drop Shipping Sales

Along with product reviews, you will get the supply-demand gap data, where you will know about product availability. Using this, you can maintain your inventory and improve dropshipping sales.


Sentimental Analysis

Product reviews will help you understand customer sentiments. You can use them smartly to optimize product features and marketing strategies.



We use rotated proxy IP addresses to avoid getting blocked.


Our scraping solution can capture massive data.


Upto date to cope with changes in the market whenever needed


Secured algorithms and set up to avoid data loss


5x faster than conventional data scrapers

Translation Capabilities

Our data scrapers can capture data from any language and give output in an asked language like English.



We have developed a long-term connection between our business team and potential customers.


Our business team consulted potential customers by exchanging expert advice and required information.


Our team analyzes and identifies the business needs of potential customers.


Once potential customers confirm the demand with our team, we start executing the process after getting the basic needs for the project.


After compiling the data, our team smoothly hands it over to the customer.

Exceed Expectation

We Build long-term bonding with our clients by serving them and exceeding their expectations.

Why Choose iWeb Data Scraping?

Unlimited Data Serving

Our company has no threshold for serving a particular number of requests or extracting specific data fields.

Fully Tailored

We extract the data as per the client's requirement at all stages.

No More Blockages

We use proxy IP addresses and random delays between two requests with the capability to solve the captcha in real-time.

Master in Domain

We are proud to serve more than 300+ clients within two years with our expert team.

Assured Quality

We are fully devoted to working on Quality and consistency to deliver the best.

Frequently Asked Questions

Web scraping is possible in multiple languages like PHP, .Net, HTML, Java, CSS, and Python. We generally use python as a core language, but we also use other languages as per customer demand.

We don't deal with adult sites, financial sites which include personal data of the audience like credit card and bank details, and platforms having high levels of sensitive data for security reasons.

Yes, definitely. You can hire us as your dedicated web data scraper team if your requirements are in bulk with regular scraping frequency. That team will handle complete end-to-end operations involved in data extraction, like code development, monitoring, quality assurance, maintenance, data delivery, and many more.

If you can provide us with the account registered on the targeted website to extract the data shown behind your login, we can scrape the data as usual. However, there are restrictions.

It is not required; we do the data extraction entirely on our cloud servers. You must provide us with the websites and data fields you want to scrape.

Yes, our scrapers are scalable enough to handle large quantities of data with decided frequency.

We usually submit the data in usable formats like CSV, Excel, XML, and JSON files.

We use rotational proxy IP addresses so that IP addresses don't send scrape requests again.

Yes, we respect maintaining privacy and security with our clients. So we do sign a Non-Disclosure Agreement.

Yes, we have a dedicated team to support our customers with technical issues when they operate on their end.

Let’s Talk About Product

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