Walmart Product Search Scraper

Search Walmart.com for any product and get structured results with names, prices, URLs, thumbnails, ratings, and review counts. This Apify actor turns a simple search query into a ready-to-use product dataset — ideal for price monitoring, market research, competitive analysis, and e-commerce intelligence.

Why use this actor?

• Simple search-based input — just enter a product query; no URLs or category navigation needed.
• Structured product data — every result includes name, price, product URL, thumbnail, average rating, and review count.
• Configurable result volume — set the maximum number of records to collect per run (up to 1,000).
• Cost-conscious — scrape only the products you need instead of crawling entire categories.
• Reliable extraction — browser-based rendering bypasses Walmart's bot detection, so you get consistent results even when Walmart blocks HTTP-based scrapers.
• Apify-native workflow — schedule runs, monitor progress, and export the resulting dataset in JSON, CSV, Excel, or other supported formats.

What you can collect

Each product record includes the following fields:

Field	Description
name	Product name as displayed on Walmart.com
price	Current listed price (line price or item price)
url	Direct product URL on Walmart.com
thumbnail	Product thumbnail image URL
averageRating	Average customer rating (if available)
numberOfReviews	Number of customer reviews (if available)

Input

Field	Type	Required	Description	Default
query	String	Yes	The product search term to look up on Walmart.com	hair dryer
maxRecords	Integer	No	Maximum number of product records to collect	5

Example input

{
    "query": "laptop",
    "maxRecords": 10
}

Output

The actor pushes one dataset item per product found. A representative result:

{
    "name": "Revlon One-Step Hair Dryer and Volumizer Hot Air Brush",
    "price": "$34.97",
    "url": "https://www.walmart.com/ip/Revlon-One-Step-Hair-Dryer/123456789",
    "thumbnail": "https://i5.walmartimages.com/asr/abc123.jpg",
    "averageRating": 4.5,
    "numberOfReviews": 12453
}

Built for practical workflows

• Price monitoring — track product prices over time for specific search terms.
• Market research — collect product listings to analyze pricing trends and competitive positioning.
• E-commerce intelligence — build structured product catalogs from Walmart search results.
• Review analysis — gather ratings and review counts to assess product popularity.

How to run

1. Open the actor in Apify.
2. Enter your search query in the query field.
3. Optionally adjust maxRecords to control how many products to collect.
4. Start the run.
5. Review the dataset or export it as JSON, CSV, Excel, or another supported format.

Important limitations

• Results depend on what Walmart.com displays for the search query at run time.
• Walmart may block or modify responses for automated requests; the actor uses browser-based extraction to mitigate this.
• Product availability, pricing, and ratings may change between runs.
• The actor collects search-result-level data; it does not visit individual product detail pages.
• Very large maxRecords values will increase run duration and resource usage.

Use the collected information in accordance with Walmart's terms of service, applicable privacy requirements, and your organization's data-use policies.