What it does
Walmart Scraper turns walmart.com into a programmatic feed. Feed it search keywords or product URLs and it returns clean, structured JSON — one record per product — covering both first-party Walmart inventory and the third-party marketplace. It also emits a per-query summary record with product count and average price for at-a-glance category benchmarking.
Who it's for
Pricing and repricing teams, e-commerce and marketplace analysts, BI/quant pipelines, and anyone tracking competitor prices, availability, and assortment on the #2 US e-commerce site.
Sample fields / output
title, price, was_price (on-sale only), currency, rating, reviews_count, walmart_id (stable join key), brand, seller, availability, url, image_url, category, plus as_of_timestamp provenance.
Example use cases
- Price & repricing dashboards — feed live Walmart prices into a repricer or pricing model.
- Category benchmarking — use the per-query summary record for instant count and avg-price reads.
- Assortment & availability tracking — monitor stock status across first-party and marketplace sellers.
Try Walmart Scraper — Products, Prices, Ratings & Stock on Apify ->
Related actors
FAQ
What input does it take?
Either a list of search keywords (for category sweeps) or specific product URLs — set by the input mode.
Does it cover marketplace sellers?
Yes. The seller field is Walmart.com for first-party items or the marketplace seller name for third-party listings.
How do I join records over time?
Use walmart_id (the Walmart US item id) as the stable join key, paired with the as_of_timestamp capture time.
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