Use Lowe's Price, Stock & Specification Scraper with Python

Search Lowe's products by keyword, browse a category, or fetch details by item ID or URL. Get price, original price, discount percent, stock status, ratings, model number, and full specifications for each product.

1. Choose the data you need

Review the published README for supported collection modes, examples, and limits. The recipe below uses the current published input definition.

2. Prepare a source-based input

This JSON contains published prefills and required-field defaults. Review every value for your task before running it; it is not a promise of successful collection.

{
  "category": "tools",
  "inStockOnly": false,
  "includeDetails": false,
  "itemIds": [
    "5013207487"
  ],
  "maxItems": 1,
  "mode": "productDetails",
  "onSaleOnly": false,
  "onShelfOnly": false,
  "searchQueries": [],
  "sortBy": "featured",
  "startUrls": [],
  "storeId": "0208",
  "zipCode": "92253"
}

Download input.example.json and save your reviewed copy as input.json.

Field	Type	Required	Description
`mode`	string	required	What to look up.
`searchQueries`	array	optional	Keywords to search for (mode=search). Each query adds its own discovery results.
`category`	string	optional	Lowe's department to browse (mode=byCategory).
`itemIds`	array	optional	Lowe's item numbers (for example 5013207487) or /pd/ product URLs. Used by mode=productDetails.
`startUrls`	array	optional	Lowe's product, search, or /pl/ category URLs. Used by mode=byUrl, and category URLs are also accepted by mode=byCategory.
`storeId`	string	optional	Four-digit Lowe's store number used for price and stock context. Default 0208 (La Quinta, CA).
`zipCode`	string	optional	Five-digit ZIP code used with the store number for price and stock context. Default 92253.
`sortBy`	string	optional	How to order the products found in this run.
`inStockOnly`	boolean	optional	Only emit products with at least one fulfilment method available.
`onSaleOnly`	boolean	optional	Only emit products with a current was/sale price.
`onShelfOnly`	boolean	optional	Only emit products with pickup quantity above zero at the selected store.
`minPrice`	integer	optional	Drop products priced below this value. Products without a price are skipped when a price filter is set.
`maxPrice`	integer	optional	Drop products priced above this value. Products without a price are skipped when a price filter is set.
`minRating`	number	optional	Drop products rated below this value. Products without a rating are skipped when this filter is set.
`includeDetails`	boolean	optional	Add description, bullets, specifications, UPC, dimensions, warranty, and manuals to each product.
`maxItems`	integer	optional	Maximum number of products to emit. Discovery may return fewer candidates than this.

3. Start an Actor run

Set APIFY_TOKEN in your environment. Python 3.10 or newer is sufficient; this recipe uses no third-party packages.

Execution may incur charges. Review current pricing on Apify. The request asks for a 120-second timeout and a charge limit; these settings are subject to Apify’s pricing and do not guarantee an all-inclusive spending cap.

import json
import os
import urllib.request

# Save the schema-derived example as input.json; review and edit it first.
with open("input.json", encoding="utf-8") as stream:
    actor_input = json.load(stream)

token = os.environ["APIFY_TOKEN"]
request = urllib.request.Request(
    "https://api.apify.com/v2/acts/KnnU4GxLeum2JdDP7/runs?timeout=120&maxTotalChargeUsd=0.50",
    data=json.dumps(actor_input).encode("utf-8"),
    headers={"Authorization": "Bearer " + token, "Content-Type": "application/json"},
    method="POST",
)
# This starts a potentially billable run. Do not automatically retry this POST.
with urllib.request.urlopen(request, timeout=40) as response:
    run = json.load(response)["data"]
print("Run ID:", run["id"])
print("Status:", run["status"])
# Inspect and download results in Apify Console once the run succeeds.

4. Inspect the actual results

Open the run in Apify Console and wait for a successful completion. Use the published output schema to locate results and the dataset schema to understand declared views. Missing or optional record fields must not be treated as guaranteed values.

Lowe's product records with identity, live store-aware price and was/sale details, stock and fulfilment availability, ratings, specifications, UPC, dimensions, manuals, badges, variants, and store context.

Questions before you run

Which inputs are required?

The published required fields are mode

What does this guide verify?

The fields, prefills, and schema links are rendered from the published build. This is a usage recipe, not a paid live extraction test. Source availability and collection results can vary.

What if the run request times out?

Check Apify Console before retrying. The first request may already have created a run. Do not automatically repeat a run-creation POST.

Open on Apify Full Actor reference

Generated from source build psFnduI7nHVgiC7bh and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.