Dataspryva

Use Home Depot Search Results & Price Tracker with Python

Turn a Home Depot keyword search or search URL into structured product data: price, original price, brand, rating, reviews, and image, with sponsored-result and keyword filtering.

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.

{
  "includeAisleBay": false,
  "includeDetails": false,
  "includeQuestions": false,
  "includeReviews": false,
  "includeSponsored": false,
  "includeStoreAvailability": false,
  "maxItems": 3,
  "maxItemsPerQuery": 3,
  "mode": "search",
  "onlyClearance": false,
  "onlyInStock": false,
  "onlyOnSale": false,
  "searchQueries": [
    "drill"
  ]
}

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

FieldTypeRequiredDescription
modestringrequiredChoose what to scrape: a keyword search, a category browse page, or specific Home Depot item IDs.
searchQueriesarrayoptionalOne keyword per line, for example 'cordless drill'. Used in search mode.
categoryUrlsarrayoptionalHome Depot category URLs (/b/...) or browse codes (N-...). Used in category mode.
itemIdsarrayoptionalHome Depot item IDs or product URLs (/p/...). Used in products mode.
storeIdstringoptionalHome Depot store number for store-local prices and pickup stock. 121 is Cumberland, GA.
zipCodestringoptionalUsed to find the nearest store when Store ID is empty, and for delivery estimates.
sortBystringoptionalHow to order the products in each search or category.
priceMinnumberoptionalOnly keep products at or above this price.
priceMaxnumberoptionalOnly keep products at or below this price.
brandstringoptionalKeep only products whose brand contains this text, for example Milwaukee.
minRatingnumberoptionalDrop products rated below this average, from 0 to 5.
onlyOnSalebooleanoptionalKeep only products with a real discount, promotion, special buy or clearance.
onlyClearancebooleanoptionalKeep only products with a clearance price.
onlyInStockbooleanoptionalKeep only products available for pickup at the selected store or for delivery.
includeSponsoredbooleanoptionalInclude paid product placements alongside organic results.
filterKeywordsstringoptionalComma-separated words; keep only products whose title contains at least one, for example chainsaw,chain saw.
maxItemsintegeroptionalOverall maximum number of products to save.
maxItemsPerQueryintegeroptionalMaximum products to save from each search query or category.
maxPagesintegeroptionalMaximum result pages to read for each search or category. Home Depot returns up to 24 products per page and 30 pages per browse.
includeDetailsbooleanoptionalAdd description, specs, key features, UPC/GTIN, all images, videos and variants for every product.
includeReviewsbooleanoptionalAdd customer reviews and the rating breakdown for every product.
maxReviewsPerProductintegeroptionalReview cap for each product when reviews are enabled.
reviewsSortstringoptionalHow to order reviews when reviews are enabled.
includeQuestionsbooleanoptionalAdd customer questions and their answers for every product.
maxQuestionsPerProductintegeroptionalQuestion cap for each product when questions are enabled.
includeStoreAvailabilitybooleanoptionalAdd store-local pickup quantity, pickup/delivery split and delivery details.
includeAisleBaybooleanoptionalAdd the aisle and bay where the product sits at the selected store.

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/QFcedaopb4W0h72DA/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.

Home Depot products with store-local price, pickup and delivery stock, specifications, media, variants, and optional reviews and Q&A.

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.

Generated from source build wuFfPsyQX2r5dL5kR and its README and schemas. Source changes regenerate this guide; no third-party editorial claims are inferred.