Walmart Scraper | Enterprise Grade
Pricing
from $0.70 / 1,000 product listings
Walmart Scraper | Enterprise Grade
Scrape structured product data from Walmart.com including prices, brands, ratings, stock availability and more. Ideal for price tracking, catalog enrichment, or market research. Fast, reliable, and export-ready.
Pricing
from $0.70 / 1,000 product listings
Rating
5.0
(1)
Developer
Fatih Tahta
Maintained by CommunityActor stats
6
Bookmarked
49
Total users
12
Monthly active users
14 days ago
Last modified
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Walmart Scraper | $1 / 1k | Fast & Reliable
Slug: fatihtahta/walmart-scraper
Price: $1.00 per 1,000 saved products
Turn any Walmart search, category, or product collection into a structured product feed you can trust. Whether you are tracking competitors, updating your catalog, or analyzing assortment coverage, this actor delivers clean, normalized Walmart product data at scale.
💡 Why choose this Walmart scraper?
- Comprehensive coverage – Capture products from search results, curated lists, or direct item URLs in one run.
- Structured product data – Every record is standardized so it drops straight into spreadsheets, BI tools, or apps without manual cleanup.
- Flexible targeting – Mix and match keywords, departments, or exact URLs to pinpoint the Walmart products you care about.
- Fast turnaround – Optimized for quick execution even when you request thousands of items.
- Ready to export – Download results in JSON, CSV, Excel, or connect via API.
Perfect for price monitoring, assortment comparisons, catalog enrichment, and market research teams that rely on reliable Walmart data.
📥 Input configuration
Configure the actor from the Input tab. Key fields include:
startUrls(array of strings) — Walmart search, category, or product page URLs to process.query(string, optional) — Keyword phrase to run through Walmart search.limit(integer, optional, default50000) — Cap the total number of items for the entire run.
🧪 Example input
{"startUrls": ["https://www.walmart.com/browse/electronics/laptops/3944_3951_1089430"],"query": "2 in 1 laptop","limit": 300}
📦 Output
Each saved dataset row is a normalized Walmart product record. Standard runs save the core product fields available from Walmart result pages. When enrich_data is enabled, the same record shape is used and richer detail fields are added when available.
Key output groups:
record_id,product_id,walmart_item_id,name,brand,url– Product identity and stable IDs.pricing– Numeric price, source display price, currency, unit price, was price, savings, and reduced-price signals when enriched.availability– Walmart availability status and source availability code when enriched.metrics– Rating and review counts.media– Product image URLs, including detail-page image galleries when enriched.seller– Seller name, source seller ID, seller type, storefront, and seller rating details when available.fulfillment– Walmart fulfillment and shipping labels, plus pickup/shipping/delivery options when enriched.policies– Return policy details when enriched.attributes– Optional enriched details such as descriptions, condition, UPC, badges, variants, promotions, order limits, eligibility flags, category path, highlights, and specifications.source_context– Source domain, search or URL scope, saved timestamp, result-section metadata, enrichment status, and additional Walmart source IDs.
Example enriched record:
{"record_type": "product","record_id": "387147270","url": "https://www.walmart.com/ip/Miracle-Gro-Garden-Soil-All-Purpose-For-In-Ground-Use-1-5-cu-ft/387147270","product_id": "6XW7QUMP16W5","walmart_item_id": "387147270","name": "Miracle-Gro Garden Soil All Purpose, For In-Ground Use, 1.5 cu. ft.","brand": "Miracle-Gro","availability": {"status": "In stock"},"pricing": {"current_price": 8,"display_price": "$8.00","currency": "USD"},"metrics": {"average_rating": 4.6,"review_count": 3421},"media": {"primary_image_url": "https://i5.walmartimages.com/seo/Miracle-Gro-Garden-Soil-All-Purpose-For-In-Ground-Use-1-5-cu-ft_d425b210-8838-4383-8b70-0ba41792b2e8.f5e36161fc079dd420a1551f84c6b73a.jpeg"},"seller": {"name": "Walmart.com","seller_id": "F55CDC31AB754BB68FE0B39041159D63"},"fulfillment": {"fulfillment_type": "FC"},"attributes": {"short_description": "Grow bigger, more beautiful plants with Miracle-Gro Garden Soil All Purpose.","description": "Grow bigger, more beautiful plants with Miracle-Gro Garden Soil All Purpose.","product_type": "UNKNOWN","condition": "New","upc": "032247035958","badges": [{"text": "Best seller","type": "LABEL"}],"variants": [{"name": "Pack Size","options": [{"name": "Single","selected": true}]}]},"source_context": {"source_domain": "walmart.com","source_url": "https://www.walmart.com/search?query=garden+soil","loaded_url": "https://www.walmart.com/search?query=garden+soil","search_query": "garden soil","scraped_at": "2026-06-14T09:08:12.683Z","result_stack": {"id": 0,"name": "SBE_EMM_1","title": "Results for \"garden soil\"","type": "DEFAULT"},"external_ids": {"offer_id": "4358651AC3AF42D9A24D2FB5976BDCA3","primary_shelf_id": "2074623"},"enrichment": {"enabled": true,"status": "enriched"}}}
Output downloads are available as JSON, CSV, Excel, or via the Apify API.
🚀 How to run the actor
- Open Walmart Scraper | $1 / 1k | Fast & Reliable on Apify.
(Slug:fatihtahta/walmart-scraper) - Configure your
startUrls,query, limits, and enrichment setting in the Input tab. - Start the actor.
- Monitor progress in the Run console.
- Download the dataset from the Storage tab in your preferred format.
💰 Pricing
- $1.00 per 1,000 saved products.
- Billing is based solely on the number of items stored in the dataset.
⚖️ Responsible use
This actor collects information that is publicly available on Walmart. Depending on your jurisdiction, saved data may be considered personal or proprietary. Ensure you have a lawful basis for processing, follow Walmart's terms, and comply with relevant regulations (GDPR, CCPA, etc.).
❓ Support & custom requests
Need help, have feature requests, or want a tailored workflow? Open an issue in the Issues tab on the actor page and it will be resolved around the clock.
Happy scraping, Fatih
