walmart-product-detail
Walmart product detail page extractor: given a walmart.com product URL (walmart.com/ip/...), extract full product data including itemId, title, brand, model, UPC, price, wasPrice, currency, availability, category path, seller info, all images, shortDescription, longDescription, product highlights, full specifications as key-value map, color/size variants with item IDs, fulfillment options (shipping/pickup/delivery with dates), return policy, and review summary with rating breakdown. Use when user mentions walmart product detail, walmart item page, walmart product page, scrape walmart product, extract walmart item, walmart product data, walmart item details, walmart product info, walmart product scraper, walmart item scraper, walmart product URL, walmart ip URL, walmart.com/ip, walmart specifications, walmart product specs, walmart product images, walmart variants, walmart color options, walmart size options, walmart seller info, walmart return policy, walmart fulfillment options, walmart shipping info, walmart availability, walmart product enrichment. Also applies to enriching a list of walmart product URLs with full details, monitoring walmart product price and availability changes, building a walmart product catalog, competitive product research on walmart, and batch collection of full product data from walmart item IDs.
git clone --depth 1 https://github.com/browser-act/skills /tmp/walmart-product-detail && cp -r /tmp/walmart-product-detail/solutions/ecommerce/walmart-product-detail ~/.claude/skills/walmart-product-detailSKILL.md
# Walmart — Product Detail
> product URL → full structured product data from walmart.com product detail page
## Language
All process output to user (progress updates, process notifications) follows the user's language.
## Objective
Extract complete product data from a Walmart product detail page, including pricing, images, specifications, variants, fulfillment options, and review summary.
## Prerequisites
- Target product page is open in the browser: `https://www.walmart.com/ip/{product-slug}/{item-id}`
## Pre-execution Checks
### 1. Tool Readiness
If browser-act has been confirmed available in the current session → skip this step.
Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.
## Capability Components
> This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf — the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `eval "$(python scripts/xxx.py {params})"`. `$(...)` is bash syntax; it is recommended to use the bash tool for execution.
Below are all atomic capabilities discovered and verified during the exploration phase, listed by command template with parameters. Simply invoke them as needed — no need to read `scripts/*.py` source code or re-verify. Only inspect scripts when execution fails for troubleshooting. Combine freely as needed during execution.
### DOM: extract full product data from current product page
Navigate to the product URL first, then extract:
1. `navigate "https://www.walmart.com/ip/{product-slug}/{item-id}"`
2. `wait stable`
3. `eval "$(python scripts/extract-product-detail.py)"`
The `item-id` is the numeric Walmart item ID (usItemId). The `product-slug` portion of the URL does not affect which product is loaded — only the `item-id` matters.
Output example:
```json
{
"itemId": "18656507313",
"url": "https://www.walmart.com/ip/HP-14-N150-4-128-Blue/18656507313",
"title": "HP 14 inch HD Windows Laptop Intel Processor N150 4GB 128GB UFS Waterfall Blue",
"brand": "HP",
"brandUrl": "https://www.walmart.com/search?q=HP&facet=brand:HP",
"model": "14-ep2112wm",
"upc": "199764359186",
"manufacturerProductId": "CQ5J6UA#ABA",
"classType": "VARIANT",
"price": 229,
"priceString": "$229.00",
"currencyUnit": "USD",
"wasPrice": null,
"availability": "IN_STOCK",
"category": [
{"name": "Electronics", "url": "https://www.walmart.com/cp/electronics/3944"},
{"name": "Laptops", "url": "https://www.walmart.com/cp/laptops/3951"}
],
"sellerId": "F55CDC31AB754BB68FE0B39041159D63",
"sellerName": "Walmart.com",
"sellerDisplayName": "Walmart.com",
"sellerType": "INTERNAL",
"sellerAverageRating": null,
"sellerReviewCount": null,
"averageRating": 4.4,
"numberOfReviews": 63,
"thumbnail": "https://i5.walmartimages.com/seo/HP-14.jpeg",
"images": ["https://i5.walmartimages.com/seo/image1.jpeg", "https://i5.walmartimages.com/asr/image2.jpeg"],
"shortDescription": "The HP 14 inch Laptop PC has it all...",
"longDescription": "<ul><li><strong>Intel N150 processor:</strong> ...</li></ul>",
"productHighlights": [
{"name": "RAM memory", "value": "4 GB"},
{"name": "Processor", "value": "N150"}
],
"specifications": {
"RAM memory": "DDR5",
"OS": "Windows 11",
"Screen size": "14 in",
"Weight": "3.11 lb"
},
"variants": [
{
"name": "Actual Color",
"type": "DROPDOWN",
"options": [
{"id": "actual_color-tranquilpink", "name": "Tranquil pink", "availability": "AVAILABLE", "itemIds": ["6G9VW0QQAI2X"]},
{"id": "actual_color-waterfallblue", "name": "Waterfall blue", "availability": "AVAILABLE", "itemIds": ["4QPDNGIGKZZ8"]}
]
}
],
"fulfillmentOptions": [
{"type": "SHIPPING", "status": "IN_STOCK", "freeShipping": true, "deliveryDate": "2026-07-09T21:59:00.000Z", "fulfillmentBadge": "Tomorrow"},
{"type": "PICKUP", "status": "IN_STOCK", "freeShipping": true, "deliveryDate": null, "fulfillmentBadge": "Today"},
{"type": "DELIVERY", "status": "IN_STOCK", "freeShipping": false, "deliveryDate": null, "fulfillmentBadge": "Today"}
],
"returnPolicy": {
"returnable": true,
"freeReturns": true,
"returnWindowDays": 30,
"returnPolicyText": "Free 30-day returns"
},
"reviewSummary": {
"averageRating": 4.2,
"totalReviews": 279,
"ratingBreakdown": {"5": 191, "4": 29, "3": 15, "2": 10, "1": 34},
"reviewsLookupId": "19X7KSSCUQU5"
}
}
```
Error response (when extraction fails or wrong page):
```json
{"error": true, "message": "No product in __NEXT_DATA__. Ensure the page is a Walmart product detail page (walmart.com/ip/...)."}
```
## Success Criteria
`itemId` is non-null AND `title` is non-null AND `price` is non-null OR `availability` is non-null
## Known Limitations
- `wasPrice` is null unless the item currently has an active markdown/rollback promotion
- `sellerAverageRating` and `sellerReviewCount` are null for Walmart first-party listings (INTERNAL sellerType)
- `longDescription` may be null for items without IDML data (less common)
- `specifications` may be empty for items without IDML specifications
- Variant `itemIds` are internal product IDs (format: alphanumeric, e.g., "6G9VW0QQAI2X"), not the usItemId; to get the usItemId for a specific variant, navigate to that variant's URL
- Delivery dates in `fulfillmentOptions` reflect the browser session's location context (set by the browser's stored zip code)
## Execution Efficiency
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