Walmart Reviews API: Structured Data in Python

Scrape Walmart product reviews into structured JSON/CSV using ScraperAPI in Python. Filter by rating, date, or relevance. Ideal for sentiment and UX analysis.

This endpoint will retrieve reviews for a specified product from a Walmart reviews page and transform it into usable JSON.

import requests
payload = {'api_key': 'APIKEY', 'product_id': 'PRODUCTID'}
r = requests.get('https://api.scraperapi.com/structured/walmart/review', params=payload)
print(r.text)

Parameter	Details
api_key	Your API Key.
product_id	Walmart Product id. Example: 5253396052
sort	Sort by option. Valid values are: relevancy helpful submission-desc submission-asc rating-desc rating-asc
ratings	Comma-separated number list of review ratings. Supported values: 1,2,3,4,5 - used in any combination.
verified_purchase	Boolean - true or false. Filters reviews only from verified purchases when set to true.
page	Specify the page number
TLD	Top level domain. Valid values are com and ca

Sample Response

{
  "product_name": "HOBIBEAR Boys Sneakers Kids Running Lightweight Breathable Sport Tennis Shoes（Toddles/Little Kids/Big Kids）",
  "product_url": "https://www.walmart.com/ip/HOBIBEAR-Boys-Sneakers-Kids-Running-Lightweight-Breathable-Sport-Tennis-Shoes-Toddles-Little-Kids-Big-Kids/1347882796",
  "rating": 4.0556,
  "review_count": 18,
  "reviews": [
    {
      "title": "good",
      "text": "design,price and true size overall like.",
      "author": "vi",
      "date_published": "3/10/2024",
      "rating": 4,
      "positive_feedback": 0,
      "negative_feedback": 0
    },
    {
      "title": "Didn't last long",
      "text": "Did not hold up very long to little boy running/ playing/ activities.",
      "author": "firefli529",
      "date_published": "5/11/2024",
      "rating": 3,
      "positive_feedback": 0,
      "negative_feedback": 0,
      "badges": [
        "Verified Purchase",
        "Incentivized Review"
      ]
    },
...
}