Lowe's Scraper
We do not have a dedicated Lowe's data API. What we do have is an AI scraper that reads a lowes.com page you point it at, turns it into the columns you asked for and hands them back by REST, CSV or Excel — on a schedule, priced per page.
- lowes.com
How to scrape Lowe's
Lowe's publishes no read API for its catalogue. There is no key to apply for and no endpoint to call, which is why the page is the interface. Lowe's and Home Depot track each other closely enough that the gap between them is the clearest competitive pricing signal in US DIY. The way to get the data is to read the page the way a customer sees it: point the AI scraper at a lowes.com URL, declare the columns you want in plain English, and schedule it. Trade and DIY ranges price in two directions at once: a unit price for the shopper and a bulk or trade price for the contractor, and only one of them is in the headline.
What the AI scraper does with a lowes.com link
The same three steps as any other page you point it at. Nothing about Lowe's is pre-built, which is exactly why it works on pages nobody wrote a connector for.
Paste the link
Give it a lowes.com product or listing URL. Market, currency and assortment all come from the page itself, so there is no region setting to get wrong — the URL decides.
Declare the columns
Name each field, give it a type and write a line telling the AI what to look for. “product_title” and “brand” are the two most people start with. The schema is yours and you can change it between runs.
Schedule it and collect
Run it hourly, daily or on demand. Every run returns the same columns in the same order with a timestamp on each row, so the history builds itself.
Set it up once. The data keeps coming.
Save your search once and it runs by itself. Every run lands in your own Scrapewise database, and you pick how to read it.
Set it up once
Add your ASINs, keywords, places or apps to a scraper in the web app. New accounts get 5 free requests.
Runs on your schedule
Pick daily, weekly on the days you choose, every few days, or the first or last day of the month. Scheduled runs start at night, European time. Need it more often? Start runs from your own code.
Saved in your database
Each run adds dated rows, so this week sits next to last week. Rows are kept for 90 days.
Use it your way
Open the table in the web app and download the latest run as an Excel file. Ask your own AI assistant about it. Or pull the rows into your code with an API key.
Ask your AI assistant about your own data
Connect Claude Desktop or Claude Code with a read-only key. The assistant reads the rows you've already collected, at no extra cost on Scrapewise. With a full-access key it can start a run for you too.
- Which of my ASINs lost the Buy Box this week?
- Which competitor cut prices the most since Monday?
- Show the keywords where I dropped out of the top 10.
What you send and what you get
You send a link and a column list. Everything else — market, currency, which products are on the page — comes from the page, so there is nothing to configure twice.
- Link to a Lowe's pagerequired
Open the product or category page in your browser and copy the address. Any Lowe's country domain works the same way.
https://www.lowes.com/ - Your column listrequired
Field name, type and one line of plain English per column. Written once, reused on every run.
product_title, brand, sku, price - How often it runsoptional
Hourly, daily, weekly or on demand through the API. Daily is what most price monitoring uses.
Daily at 06:00 UTC
One row per product on the page, 12 columns each
- product_title
- brand
- sku
- price
- price_per_unit
- unit
- bulk_price
- currency
- availability
- branch_stock
- product_url
- checked_at
REST API, CSV or Excel. The column set stays the same between runs, so downstream jobs do not re-map fields.
The columns a Lowe's run comes back with
We are not going to print a table of invented diy and trade prices and call it real output. Lowe's answers an ordinary request with Akamai rather than a product page, so we have no run of our own to quote from. So what is published here is the column list you declare before the run, which is the same list every run comes back with.
product_titleProduct title as the site writes itbrandBrand as the site labels itskuSite's own product codepricePrice the site is charging todayprice_per_unitPrice per metre, litre, square metre or pack, where printedunitWhich unit that per-unit price is quoted inbulk_priceTrade, pallet or multi-pack price, where the page shows onecurrencyCurrency the page quotedavailabilityStock state as the page states itbranch_stockBranch or store availability, where the page exposes itproduct_urlLink back to the page the row came fromchecked_atWhen this run collected the page (UTC)Every column here is one you name yourself in the schema. If a field is not on the page on the day of the run, it comes back empty rather than guessed.
What a Lowe's page costs
Pay-as-you-go from your wallet. No plan, no monthly fee, no seat count.
Measured on 3 October 2026, not assumed. A plain request for a lowes.com page returns a document rather than a refusal, but Akamai is in front of it, and the parts of the page that carry price are filled in by JavaScript after load, so a browser is what makes the run reliable.
500 Lowe's pages checked once a day for a month is 15,000 pages.
about EUR 22.50 for the month
You are charged for what a run actually used, not what it was expected to need, and your balance never expires.
See the full price list →What this page is not promising
We would rather say this here than in a support ticket.
No dedicated Lowe's endpoint
There is no Lowe's API in our catalogue and no pre-built Lowe's schema. The AI scraper reads the page you point it at — that is the whole mechanism, and it is why it works on pages nobody built a connector for.
Nothing behind a login
It reads what a visitor can see. Account pricing, contract pricing and anything behind a sign-in are out of scope.
No field the page does not show
If the page does not print it, the scraper cannot return it. Identifiers like EAN or GTIN only come back where the retailer publishes them.
A price is a point in time
Every row carries the timestamp of the run that collected it. A price without one is not evidence, which is why the column is in the default schema.
Lowe's has one specific trap
The store price and the shipped price differ on bulky goods, and the page shows whichever matches the selected fulfilment.
Not a bulk dump of the catalogue
You give it the URLs you care about. It does not crawl lowes.com end to end, and a schedule that tried to would cost more than the answer is worth.
Typical fields the AI scraper extracts from a Lowe's page
Treat this as a starting point rather than a fixed schema. What comes back is whatever the page actually shows on the day of the run.
Per-unit and bulk pricing
The two numbers a trade buyer compares, and the two most price tools flatten into one.
- Headline price
- Price per metre, litre, square metre or pack where printed
- Pack or pallet quantity the price refers to
- Trade or bulk price tier, where the page shows one
- Any was-price or promotional price
Stock, which decides the sale
In trade supply, availability this afternoon beats a lower price next week, and the page usually says which it is.
- Stock state as the page states it
- Branch or store availability where the page exposes it
- Delivery window shown
- Click-and-collect availability
- Minimum order quantity, where stated
Product identity
Building materials and tools usually carry a manufacturer code, which makes cross-retailer comparison realistic.
- Site's own product code
- Manufacturer part number, where printed
- EAN or GTIN, where published
- Brand and range name
- Category breadcrumb
- Technical specification table, where rendered
The column list is one you write: name each field, give it a type and a line telling the AI what to look for. The schema belongs to your run, not to us. How Custom Schema works →
What it cannot give you If a field is not visible on the page, the scraper cannot invent it. Identifiers such as EAN or GTIN only come back when Lowe's publishes them.
What people use Lowe's data for
Trade price benchmarking
What the competing merchant is actually charging per unit, not per pack, on the lines you both carry. That is the comparison a trade pricing review needs.
Branch-level availability checks
Where a site exposes branch stock, the scrape tells you whether a competitor can actually fulfil locally, which in trade supply is half the decision.
Promotion and clearance tracking
Trade promotions run on cycles and land on different lines each time. Collecting them daily reconstructs the cycle.
Supplier price-floor checks
If you manufacture, this is how you see what your products are listed at across the merchants that carry them, with the date attached.
Range and gap analysis
Which lines a competitor actually stocks, at what price points, before you commit to a buy.
Feeding your own pricing rules
The export is a normal REST API or CSV, so per-unit and bulk prices land in whatever pricing model you already run.
What makes Lowe's harder than an ordinary storefront
Here is what the scraper is actually up against on lowes.com, measured rather than assumed.
Access
- Plain HTTP requests are answered, but the answer is the shell of the page rather than the priced version of it
- Named protection on the response: Akamai
- No usable sitemap directive in robots.txt, so the URL list comes from your own category pages
Units and packs, not products
- The headline price can be per pack, per metre or per square metre, and the page does not always make clear which
- Trade and retail price tiers can both be on the page, and taking the wrong one skews a whole comparison
- Branch stock is a separate lookup on most sites, so covering branches multiplies the page count
- Large ranges mean a category sweep is a list of URLs rather than one request
What the page publishes
- No product-level structured data is published, so every field is read off the rendered page
- The store price and the shipped price differ on bulky goods, and the page shows whichever matches the selected fulfilment.
- Price is one of the last things the page settles on, so a read taken too early records the placeholder rather than the number
Keeping a history
- A single read is a snapshot; the value is in the series, which means the run has to be scheduled and the rows kept
- Every row carries the timestamp of the run that produced it, so two days can be compared without guesswork
- Columns stay stable between runs, so a dashboard written once does not break when the site redesigns
Lowe's scraping — questions
What people ask before pointing the scraper at lowes.com.
Lowe's publishes no read API for its catalogue. There is no key to apply for and no endpoint to call, which is why the page is the interface.
Ready to pull Lowe's data into your stack?
Start free — or talk to our team about your exact fields, refresh cadence and volume.