E-commerce
Walmart Product & Price Scraper
Scrape Walmart.com (US) product and price data by search term, product URL, or item ID — title, current price, was/strike-through price, in-stock status, rating, review count, and Walmart-vs-marketplace seller type. Export to JSON or CSV.
Free Apify credit covers a first run. No credit card to try.
What this Actor scrapes
Walmart runs no public product-data API. This Actor looks up products three ways — search term, direct product URL, or Walmart item ID — and returns one clean schema across all three: current + was price, stock status, rating, and an explicit seller_type field (Walmart-fulfilled vs third-party marketplace) that most Walmart scrapers leave out. Built on curl-cffi with browser TLS impersonation.
What we handle for you
- 🛡️ Browser fingerprint rotation —
curl-cffiimpersonates real Chrome / Firefox / Safari TLS handshakes so the target sees a browser, not Python. - 🌐 Residential proxy rotation via Apify Proxy — fresh session and exit IP on every block.
- 🔁 Retries with exponential backoff on
408 / 429 / 5xx— up to 5 attempts per page,Retry-Afterhonoured. - 🧱 Rate-limit-aware pacing — when the target pushes back, we slow down instead of getting banned.
- 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 timestamps, stable IDs, JSON / CSV / Excel export straight from the Apify Console.
- 💰 Pay-Per-Event pricing — you only pay for results that hit your dataset. No data, no charge.
Use cases
- Reseller/arbitrage margin checks — pull current price + stock across a candidate SKU list before buying to resell.
- Retail price intelligence — track price and "was" price movement across a competitor catalog by search term or item ID.
- Marketplace-vs-Walmart mix analysis — use <code>seller_type</code> to see which listings are Walmart-fulfilled vs third-party, at scale.
- Stock/availability monitoring — schedule re-runs and diff <code>in_stock</code> / <code>availability_status</code> for restock alerts.
- Catalog enrichment — resolve a list of Walmart item IDs into title, brand, rating, and image in one call.
Input
Paste this into the Apify Console, or send it as the run input over the API. Proxy settings are on by default; you rarely need to touch them.
| Field | Type | Required | What it does |
|---|---|---|---|
searchTerms | array | no | Search queries to run on walmart.com. Each term returns up to maxResultsPerSearch products. |
productUrls | array | no | Direct Walmart product-detail-page URLs (walmart.com/ip/...). |
productIds | array | no | Walmart usItemId values — the numeric (8-11 digit) trailing segment of a /ip/{slug}/{itemId} URL. |
maxResultsPerSearch | integer | no | Cap on the number of products returned per search term. |
includeOutOfStock | boolean | no | When off, out-of-stock rows are dropped (and not billed). |
{
"searchTerms": [
"nintendo switch"
],
"productIds": [
"487976361"
],
"maxResultsPerSearch": 2,
"includeOutOfStock": true,
"proxyConfiguration": {
"useApifyProxy": true,
"apifyProxyGroups": [
"RESIDENTIAL"
],
"apifyProxyCountry": "US"
}
} Output
One row per result, schema-validated before it is written. Export JSON, CSV, Excel or XML from the run, or read it over the API.
item_idtitlebrandurlprice_currentprice_wascurrencyin_stockavailability_statusrating_averagerating_countseller_nameseller_typeimage_urlsearch_termscraped_at
{
"item_id": "487976361",
"title": "Nintendo Switch OLED Model - White",
"brand": "Nintendo",
"url": "https://www.walmart.com/ip/Nintendo-Switch-OLED-White/487976361",
"price_current": 349.0,
"price_was": 399.99,
"currency": "USD",
"in_stock": true,
"availability_status": "IN_STOCK",
"rating_average": 4.8,
"rating_count": 3241,
"seller_name": "Walmart.com",
"seller_type": "walmart",
"image_url": "https://i5.walmartimages.com/asr/example.jpeg",
"search_term": null,
"scraped_at": "2026-08-01T17:40:00.000Z"
} Pricing
| Event | Price | When |
|---|---|---|
| Actor start | $0.20 | Once per run, covers warm-up and proxy session setup. |
| Result item emitted | $0.0020 | Per result written to the dataset. |
You pay only for results that land. Cap any run with maxTotalChargeUsd. See pricing & billing for worked examples.
FAQ
Does this cover Walmart Canada or Mexico?
Does it return historical price history?
What's the difference between price_current and price_was?
How does seller_type work?
Can I mix search terms, URLs, and item IDs in one run?
Ready to run it?
Open the listing on Apify, paste the input above, and watch rows land. If it ever breaks, it is our problem before it is yours.
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