Samsclub Reviews + Stats Scraper

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.