HomeDepot Scraper

Home Depot Scraper creates a structured dataset of Home Depot product records collected from category, brand, and search result pages. Each dataset item can include the product name, brand, model and SKU numbers, price and discount fields, rating and review counts, images, category hierarchy, and location-specific availability. Query the source using start URLs or search terms, control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, or XML.

Dataset at a glance

Property	Value
Source	homedepot.com
Record unit	One product
Input methods	Start URLs, search queries, store ID, delivery ZIP
Main identifiers	itemId, url, modelNumber
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML
Update model	Fresh records per Actor run
Pricing	Pay per event, $15 per 1,000 products

Coverage and available records

The Actor collects product records from:

• Category and brand pages passed as startUrls.
• Search result pages from searchQueries, with an optional sort order.

Records include pricing and fulfillment information that varies by store and delivery ZIP. Setting storeId pins a store number for pricing and stock; otherwise the nearest store is used. deliveryZip supplies a ZIP for delivery estimates. includeRawData optionally attaches the full unprocessed source object under rawData. Home Depot blocks non-US and datacenter traffic, so a US residential proxy is required.

Data dictionary

Field	Type	Nullable	Description	Example
itemId	string	No	Home Depot item identifier	203672257
parentId	string	Yes	Parent product identifier	334489230
name	string	No	Product name	5 in. ... Caster Wheel
url	string	No	Product page URL	https://www.homedepot.com/p/...
brand	string	Yes	Brand name	Everbilt
modelNumber	string	Yes	Manufacturer model number	4120945EB
storeSkuNumber	string	Yes	Store SKU number	194925
productType	string	Yes	Source product type	MERCHANDISE
hasVariants	boolean	No	Whether the product has variants	true
variantCount	integer	Yes	Number of variants	6
price	number	Yes	Current price	20.97
originalPrice	number	Yes	List price	20.97
currency	string	No	Currency code	USD
discountAmount	number	Yes	Discount amount	2.0
discountPercent	number	Yes	Discount percentage	10
unitOfMeasure	string	Yes	Unit of measure	each
priceMessage	string	Yes	Price message text	—
promotionName	string	Yes	Active promotion name	Buy More Save More
isSpecialBuy	boolean	No	Special buy flag	false
clearancePrice	number	Yes	Clearance price	—
rating	number	Yes	Average rating	4.61
reviewsCount	integer	Yes	Total review count	495
imageUrl	string	No	Primary image URL	https://images.thdstatic.com/...
images	array	No	List of image URLs	[...]
category	string	Yes	Category name	Casters
categoryHierarchy	array	No	Category breadcrumb path	["Furniture", ...]
department	string	Yes	Department name	Casters
collectionName	string	Yes	Collection name	—
badges	array	No	Product badges	["bestsellerv1"]
isSponsored	boolean	No	Sponsored flag	false
returnPolicy	string	Yes	Return policy	30-Day
quantityLimit	integer	Yes	Purchase quantity limit	0
hasSubscription	boolean	No	Subscription flag	false
availabilityType	string	Yes	Availability type	Shared
buyable	boolean	Yes	Whether the item is buyable	false
discontinued	boolean	Yes	Discontinued flag	false
fulfillment	object	No	Fulfillment options and inventory	{...}
rawData	object	Yes	Full unprocessed source object (when includeRawData is on)	{...}

Example dataset record

{
  "itemId": "203672257",
  "parentId": "334489230",
  "name": "5 in. Red Polyurethane and Steel Swivel Plate Locking Caster Wheel with 330 lb. Load Rating",
  "url": "https://www.homedepot.com/p/.../203672257",
  "brand": "Everbilt",
  "modelNumber": "4120945EB",
  "storeSkuNumber": "194925",
  "price": 20.97,
  "originalPrice": 20.97,
  "currency": "USD",
  "rating": 4.6141,
  "reviewsCount": 495,
  "category": "Casters",
  "categoryHierarchy": ["Furniture", "Furniture Accessories & Replacement Parts", "Casters"],
  "hasVariants": true,
  "isSpecialBuy": false,
  "availabilityType": "Shared"
}

The record above was produced by a search for cordless drill with a US residential proxy.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
startUrls	array	No	[]	Home Depot category/brand/search URLs	URLs to scrape
searchQueries	array	No	[]	Search terms	Search terms to look up
maxItems	integer	No	48	0 = all	Maximum products across all inputs
sort	string	No	topsellers	topsellers, relevance, price_asc, price_desc, rating	Result sort order
storeId	string	No	—	Store number	Store used for pricing and stock
deliveryZip	string	No	—	US ZIP code	ZIP used for delivery estimates
includeRawData	boolean	No	false	true / false	Attach the full source object under rawData
proxyConfiguration	object	No	US residential	Apify proxy settings	Proxy configuration

Minimal request:

{
  "searchQueries": ["cordless drill"],
  "maxItems": 48
}

Advanced request:

{
  "startUrls": [
    { "url": "https://www.homedepot.com/b/Tools-Hand-Tools-Hammers/N-5yc1vZc98g" }
  ],
  "searchQueries": ["cordless drill"],
  "sort": "topsellers",
  "storeId": "1402",
  "deliveryZip": "30339",
  "maxItems": 200,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Retrieve the data through the API

1. Start the Actor with a JSON input containing startUrls and/or searchQueries.
2. Wait for the run to finish.
3. Read records from the run's default dataset.
4. Paginate or export the dataset.

from apify_client import ApifyClient

client = ApifyClient("YOUR_API_TOKEN")
run = client.actor("datascrapers/homedepot-scraper").call(
    run_input={
        "searchQueries": ["cordless drill"],
        "maxItems": 48,
        "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
    }
)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item["itemId"], item["name"], item.get("price"))

Apify's generated API tab documents the equivalent calls for other languages.

Data quality and record handling

• Completeness — most fields are nullable; itemId, name, and url are always present.
• Location dependence — price, promotionName, and availability fields vary by store and delivery ZIP.
• Deduplication — the Actor does not deduplicate across runs; use itemId as the stable key for downstream deduplication.
• Retry/error behavior — products that cannot be resolved are skipped; the run continues.
• Normalization — prices are numbers in USD; ratings are numeric averages.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL/Supabase	Dataset API or webhook consumer	Product and price history
Google Sheets	Apify integration	Competitive price tracking
S3/cloud storage	Scheduled export or integration	Catalog snapshots

Pricing and cost examples

Billing is pay per event: each product record pushed to the dataset is one charge. Platform compute is included in the actor usage fee.

Records	Estimated base cost
1,000	$15.00
10,000	$150.00
100,000	$1,500.00

Estimates depend on the verified pricing model and the number of products you request.

Limitations and responsible data use

• Only publicly accessible Home Depot product data is returned.
• Pricing and stock are location-specific and can change between stores and ZIP codes.
• Fields may be missing or conditional depending on the product.
• No historical snapshots are stored unless you keep them yourself.
• You are responsible for complying with Home Depot's terms and applicable laws.

Dataset questions

What does one dataset item represent?

One Home Depot product record.

Which field should I use as a unique identifier?

Use itemId, the Home Depot item identifier.

Are fields nullable or conditional?

Yes. Only itemId, name, and url are always present; pricing, ratings, and availability fields are conditional.

Can I retrieve the records as CSV or JSON?

Yes. Export the default dataset as JSON, CSV, Excel, or XML, or read it through the Apify Dataset API.

How do I paginate large datasets?

Set maxItems to cap output, or paginate the dataset through the Dataset API.

What counts as a billable result?

Each product record pushed to the dataset is one event charge.

Related datasets from Data Scrapers

• Amazon Scraper — general merchandise product records for cross-retailer price monitoring.
• Walmart Scraper — big-box retail product records that join with Home Depot data for home-goods comparisons.
• Target Scraper — retail product records for the same home and tools categories.
• IKEA Scraper — home furnishing records for adjacent assortment analysis.
• Best Buy Scraper — electronics product records for complementary price datasets.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.