Walmart Product Reviews and Ratings
Overview
Extract customer reviews from any product on Walmart, gathering essential details such as the product name, pricing, individual reviews, and ratings. This tool provides a comprehensive overview of customer feedback, allowing users to analyze product performance and consumer sentiment based on detailed review data from Walmart.
How to Use
- Log in to your ScrapeHero Cloud account.
- Navigate to the Walmart PRoduct Reviews Scraper App in the Scrapehero App store.
- Click on "Create New Project".
- Go to https://www.walmart.com/ and search for any product for example: Sony WF-C700N Truly Wireless Noise Canceling In-Ear Headphones, Black.
- Copy the product URL or Product ID and paste it into the Product URLs/Product ID field of the scraper.
- Click "Gather Data" to begin the data extraction process.
- Once complete, download your data in your preferred format (CSV, JSON, or Excel) or connect any of the available integration to get seemless access to the scraped data.
Data Schema
The Google Reviews Scraper App provides the following data fields:
| Field Name | Description | Data Type |
|---|---|---|
| review_text | review body | JSONField() |
| review_header | review title | JSONField() |
| review_author | review author | JSONField() |
| review_date | date review is posted | JSONField() |
| review_rating | rating provide by author | JSONField() |
| review_comment_count | review comment count | JSONField() |
| review_id | review id | JSONField() |
| author_profile_url | pofile url | JSONField() |
| badge | author badge | TextField() |
| negative_feedback_count | negative feedback count | JSONField() |
| positive_feedback_count | positive feedback count | JSONField() |
| name | product name | JSONField() |
| price | product price | JSONField() |
| url | product url | TextField() |
| page | review page | JSONField() |
Sample Data Record
Here's an example of a typical data record returned by this scraper:
This scraper uses 2 data credit per data record. Learn more about data credits.
{
"author_profile_url": null,
"badge": null,
"name": "Sony WF-C700N Truly Wireless Noise Canceling In-Ear Headphones, Black",
"negative_feedback_count": 0,
"page": 1,
"positive_feedback_count": 0,
"price": null,
"review_author": "don",
"review_comment_count": null,
"review_date": "7/13/2024",
"review_header": "frustrating",
"review_id": "350274961",
"review_rating": 1,
"review_text": "sound is good. battery life good. charging method is challenging. they magnetically clip into case but do not always make contact with charging pins. even after cleaning contact's with alcohol. then when you need them, one or both buds are dead. tried 2 sets with the same problems. not worth the hassle.",
"url": "https://www.walmart.com/reviews/product/1202522461?page=1"
}
Features
- Comprehensive Review Data Extraction from walmart.
- Real-time scraping of up-to-date information.
- Bulk scraping capabilities for product reviews for walmart .
- Data export in multiple formats (CSV, JSON, Excel).
Learn More: For detailed information on using the Walmart Product Reviews Scraper and its different use cases, read our guide: How to Scrape Walmart Product Reviews
Related Scrapers
- Amazon Reviews: Gathers Product reviews from amazon
Support
If you encounter any issues or have questions, please contact our support team at cloud-support@scrapehero.com or browse our help center at https://app.scrapehero.com/docs/.