Samsclub Reviews + Stats Scraper

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This actor extracts customer reviews for a single SamsClub product and saves them into an Apify dataset in a clean, tabular format.

Use it to:

• Export reviews for analysis (Excel, Power BI, Python, etc.).
• Monitor feedback on a specific product over time.
• Enrich your own systems with structured review data.

Input

You can run the actor using either:

1. Product URL

Example:

{
"productUrl":"https://www.samsclub.com/ip/.../13608113152",
}

or

{
"productUrl":"https://www.samsclub.com/reviews/product/13608113152",
}

The actor automatically extracts the internal product ID from the URL.

2. Product Code (ID)

If you already know the product code:

{
"productCode":"13608113152"
}

Optional settings

{
"productUrl":"https://www.samsclub.com/reviews/product/13608113152",
"maxReviews":500,// Maximum number of reviews to collect
}

Parameters:

• productUrl (string, optional) – SamsClub product page or reviews page URL.
• productCode (string, optional) – Internal product ID. Use either productUrl or productCode.
• maxReviews (number, optional) – Upper limit of reviews to collect.

Output

Each review is stored as one item in the Apify dataset with (roughly) these columns:

Per-review fields

• badges – e.g. “Verified Purchase”.
• negativeFeedback – Count of “not helpful” votes (if available).
• positiveFeedback – Count of “helpful” votes (if available).
• rating – Star rating 1–5.
• recommended – Whether the reviewer recommends the product.
• reviewSubmissionTime – Review date in YYYY-MM-DD format.
• reviewText – Full review text.
• reviewTitle – Review title/summary.
• status – Review status (e.g. APPROVED).
• sellerName – Seller name, if present.
• itemImageUrl – Product image URL.
• itemName – Product name.
• syndication_contentLink – Source link, if syndicated.
• syndication_logoImageUrl – Syndication logo, if available.
• syndication_name – Syndication source/brand (e.g. “Dyson”).
• userNickname – Reviewer nickname.

Product-level rating stats
(Same values repeated on each row for that product, so you can aggregate easily):

• 1 Star %
• 2 Star %
• 3 Star %
• 4 Star %
• 5 Star %
• 1 Star Count
• 2 Star Count
• 3 Star Count
• 4 Star Count
• 5 Star Count
• total_rating_count
• reviewsWithTextCount
• Average_Rating

You can download the dataset as CSV, JSON, XLSX from the Apify UI or via API.

{
"badges":null,
"negativeFeedback":0,
"positiveFeedback":0,
"rating":5,
"recommended":null,
"reviewSubmissionTime":"2025-12-07",
"reviewText":"Bought on black Friday at a low price.\nThis unit gets to a minus (-16) degrees. \nVerification by a TX-16 Temperature reader. \nAnd it wasn't even turned to Max cold.\nWill work great in the garage Winter and Summer !",
"reviewTitle":"Top of the line",
"status":"APPROVED",
"sellerName":null,
"itemImageUrl":"https://i5.walmartimages.com/asr/33963b60-f1cd-4f05-9639-62f278a1f99e.c410f75e0a2fd7b1cc7192962d80a84a.jpeg",
"itemName":"Frigidaire Gallery 7 Cu. Ft. Chest Freezer, Black",
"syndication_contentLink":null,
"syndication_logoImageUrl":null,
"syndication_name":null,
"userNickname":"STEVEN",
"1 Star %":7,
"2 Star %":2,
"3 Star %":5,
"4 Star %":7,
"5 Star %":79,
"total_rating_count":482,
"reviewsWithTextCount":180,
"1 Star Count":32,
"2 Star Count":9,
"3 Star Count":24,
"4 Star Count":35,
"5 Star Count":382,
"Average_Rating":4.5
}
```json
---
## How to Use (on Apify)
1. Open the actor in Apify.
2. Click **Run**.
3. In the input, provide:
 - Either `productUrl` *or* `productCode`
 - Optionally `maxReviews`
4. Start the run.
5. When it finishes, go to the **Dataset** tab and export the results.
---
## Notes & Limitations
- Only **public reviews** visible on SamsClub are scraped.
- Website structure or anti-bot protections may change in the future and could require updating the actor.
- Use responsibly and in accordance with SamsClub’s terms of use and your local laws.