Home Depot Scraper - Prices, Specs & Stock
Pricing
from $1.10 / 1,000 product scrapeds
Home Depot Scraper - Prices, Specs & Stock
Scrape Home Depot products by URL, item ID or category: price and list price, brand, model, store SKU, rating and review count, availability, full specifications, key features and image links. Filter by price, rating or brand before you pay. No API key.
Pricing
from $1.10 / 1,000 product scrapeds
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Scrape Sage
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3 days ago
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Disclaimer: This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Home Depot Product Authority, LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. "Home Depot" is referenced only to describe the publicly available website this Actor collects data from.
Scrape Home Depot products and export them to JSON, CSV or Excel: current price and list price, the live discount and the date the sale ends, brand, model number, store SKU, UPC, average rating and review count, stock and return rules, the full specification table, key features, description and image links.
Point it at product links, bare item IDs, or a category page. No API key, no login.
Built for price monitoring and repricing, competitor and assortment research, MAP-compliance checks, catalogue enrichment, and dropship or marketplace feeds that need clean product attributes.
What you get per product
| Field | Notes |
|---|---|
price, originalPrice, isOnSale | list price is null when Home Depot publishes none - never a fake $0 was-price |
promotionPercentOff, promotionDollarOff, promoCode, promotionType | the live discount, straight from Home Depot - no need to derive it |
promotionStart, promotionEnd | when the sale started and when it ends - so you know how long you have |
savingsCenter | the campaign a deal belongs to, e.g. Special Buys, New Lower Prices |
priceUnit | each, sq. ft., linear ft. … so per-unit pricing is unambiguous |
brand, modelNumber, storeSku, itemId, upc | every identifier needed to match against your own catalogue |
rating, reviewCount | |
availability, isBuyable, isDiscontinued | |
isAvailableOnline, isCarriedInStores, isBackordered | stock signals; isCarriedInStores is Home Depot's national "stores carry this" flag, not one store's shelf count |
returnPolicy, quantityLimit, minOrderQuantity | the buying rules - return window (e.g. 90-Day), per-order cap, minimum quantity |
prop65Warning | true when Home Depot flags a California Prop 65 warning |
specifications | the whole spec table as a key/value object - typically 9-16 rows |
keyFeatures, highlights, description | |
category, categoryPath | full breadcrumb, e.g. Tools > Power Tool Batteries & Chargers > Power Tool Batteries |
images, imageCount | full-size image links |
How to use it
- Put product links or item IDs in Product URLs or item IDs - all of these work:
https://www.homedepot.com/p/RYOBI-ONE-18V.../339206615https://www.homedepot.com/p/339206615339206615
- Or paste a whole list into Import links from a file, or link a
.txt/.csv/Google Sheet/Drive file. - Or give a category link in Category URLs, e.g.
https://www.homedepot.com/b/Tools/N-5yc1vZc1xy, to pull the products Home Depot publishes on that page.
Leave the input empty and the Actor runs a small sample so you can see the output shape.
Filters - applied before you are charged
Minimum price · Maximum price · Minimum rating · Brand contains. Filtered products are never charged.
Monitor mode
Remembers the item IDs it has already returned, so a scheduled run emits only products it has not seen - ideal for a daily price or new-arrival watch. Skipped rows cost nothing.
Faster, lighter mode
Turn Fetch full product detail off to keep only what the category page lists (title, brand, model, price, rating, images). One request per category instead of one per product.
Output example
{"type": "product","itemId": "342880227","storeSku": "1015810864","title": "M18 18-Volt Lithium-Ion Cordless Combo Kit (8-Tool) with (2) Batteries Charger","brand": "Milwaukee","modelNumber": "3692-28","upc": "045242947041","price": 649,"originalPrice": 1298,"isOnSale": true,"promotionType": "DISCOUNT","promotionPercentOff": 50,"promotionDollarOff": 649,"promotionStart": "09/07/2026","promotionEnd": "09/08/2026","promoCode": "52625009","rating": 4.6852,"reviewCount": 2624,"availability": "Online","isBuyable": true,"isAvailableOnline": true,"isCarriedInStores": false,"returnPolicy": "90-Day","quantityLimit": 3,"prop65Warning": false,"category": "Power Tool Combo Kits","categoryPath": "Tools > Power Tools > Power Tool Combo Kits","specCount": 16,"imageCount": 12,"specifications": { "Battery Amp Hours": "5 Ah", "Number of Tools": "8", "Charger Included": "Charger Included" }}
Coverage and honest limits
- This Actor does not scrape Home Depot's keyword search. Home Depot's
robots.txtdisallows/s/, so search results are deliberately out of scope. Category pages (/b/) and product pages (/p/) are allowed and are what this Actor reads. - A category page publishes 24 products, so "Max products per category" caps at 24. For a large catalogue, feed product links or item IDs - there is no limit on how many you can send.
- Prices and availability are national online values. This Actor does not set a local store, so a store-specific price or in-aisle stock figure is not returned.
- Multi-appliance bundles are thin rows. Items Home Depot sells as a
CONFIGURABLE_BUNDLE(a fridge + range + dishwasher package, say) carry a title, brand, price, rating and images, but Home Depot publishes no spec table, no UPC, no availability and no return policy for them - the components have those, the bundle does not. Checked against five different Home Depot API views; none return more. They were about 20% of a 96-product appliance-heavy sample and are easy to skip onproductType. promotionTextis almost always empty. Home Depot leaves the promotion's text descriptionnullon ordinary discounts. The numbers behind the deal -promotionPercentOff,promotionDollarOff,promoCode,promotionStart,promotionEnd- are published, and those are what this Actor returns.- Home Depot blocks cloud networks, so this Actor reaches it through the Bright Data Web Unlocker. That is handled for you - there is nothing to configure - but it is why the Actor needs no proxy settings of its own.
- Some products carry no list price;
originalPriceis thennullrather than0.
Data & lawful use
This Actor collects product listings, not personal data: prices, specifications, availability and images published by Home Depot to logged-out visitors. It does not log in, create accounts, or reach anything behind a sign-in, and it sends no cookies and no session of any kind - it reads Home Depot's public product API exactly as an anonymous first-time visitor does. You are responsible for ensuring your use of the output complies with applicable laws and the terms of the source website.
How much does it cost to scrape Home Depot?
This Actor uses Apify's pay-per-event pricing: you are charged only for the results it delivers, with no monthly rental and no start fee. The events it can charge are:
- Product scraped - Charged once per product written to your dataset - price and list price, brand, model, store SKU, rating and review count, availability, full specifications, key features and image links. Products removed by your filters, products already seen in monitor mode, and links that returned nothing are never charged.
The current price of each event is shown on the Pricing tab of this page. Set a maximum total charge on the run if you want a hard cap on spend, and use the input limits to control how much the Actor fetches.
Automate & schedule
Run this Actor on autopilot and pull results into your own stack:
- Apify API - start runs, fetch datasets and manage schedules over REST.
- apify-client for JavaScript and apify-client for Python - official SDKs.
- Schedules - run it hourly, daily or weekly and keep your dataset current.
- Webhooks - trigger downstream actions (CRM import, Slack alert, email sequence) the moment a run finishes.
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'MY_APIFY_TOKEN' });const run = await client.actor('scrapesage/homedepot-scraper').call({"productUrls": ["https://www.homedepot.com/p/320326787","https://www.homedepot.com/p/339206615"],"includeProductDetail": true});const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Got ${items.length} records`);
Integrate with any app
Connect the dataset to thousands of apps - no code required:
- Make - multi-step automation scenarios.
- Zapier - push new records straight into your CRM or spreadsheet.
- Slack - get notified when a scheduled run finds something new.
- Google Drive / Sheets - auto-export every run to a spreadsheet.
- Airbyte - pipe results into your data warehouse.
- GitHub - trigger runs from commits or releases.
Use with AI assistants (MCP)
The output is clean, LLM-ready JSON. You can call this Actor from Claude, ChatGPT or any agent framework through the Apify MCP server - describe the data you need and let the assistant run this Actor for you.
Agent-ready: autonomous payments (x402 & Skyfire)
This actor is agent-ready — AI agents can discover it, run it, and pay for it autonomously, with no Apify account and no human in the loop. It uses pay-per-event pricing and limited permissions, so it qualifies for Apify's agentic-payment standards:
- x402 — an open, HTTP-native payment protocol. Agents pay per run in USDC on the Base network directly through the Apify MCP server — no account, no API key.
- Skyfire — agent-to-service payments for fully autonomous AI-agent workflows.
Building an AI agent, MCP tool, or autonomous data pipeline? This scraper is ready to plug in and pay as it goes.
More scrapers from scrapesage
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- Faire Scraper - Wholesale Brands, Supplier Leads & Products
- Kompass Scraper - Global B2B Company & Supplier Leads
- eBay Scraper - Listings, Prices, Item Details & Seller Leads
FAQ
How is this Actor billed? Pay-per-event: you pay only for the results it delivers, with no monthly rental and no start fee. The per-event price is shown on the Pricing tab.
Can I schedule it and get results automatically? Yes - create a Schedule and add a webhook or an integration (Google Sheets, Slack, Make, Zapier) to push each run's dataset wherever you need it.
Which export formats are available? Every run's dataset can be downloaded as JSON, CSV, Excel (XLSX), XML, HTML or RSS from the Apify Console or the API.
Can I run it from code or an AI agent? Yes - through the Apify API and client libraries, or from Claude, ChatGPT and other assistants via the Apify MCP server.
Is it legal to scrape Home Depot? This Actor collects publicly available data only. You are responsible for using the output in compliance with applicable laws (including data-protection law where personal data is involved) and the source's terms. See Data & lawful use and the Disclaimer below.
Is this an official Home Depot tool? No. It is an independent, third-party Actor with no affiliation to, endorsement by or sponsorship from Home Depot Product Authority, LLC. See the Disclaimer below.
Disclaimer
This Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Home Depot Product Authority, LLC or any of its subsidiaries. All trademarks mentioned are the property of their respective owners.
"Home Depot" and any related marks are the property of their respective owners and are used here only in a descriptive, nominative sense - to identify the publicly accessible website from which this Actor collects data. This Actor is not an official Home Depot product, is not authorised or certified by Home Depot Product Authority, LLC, and does not distribute Home Depot software. It collects only publicly available information; you are responsible for ensuring your use of that data complies with applicable laws, regulations and the terms of the source website.
Need help?
Open an issue on the Actor's Issues tab, or visit the Apify help center. Feature requests are welcome - this Actor is actively maintained.