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Office Depot Products Scraper

Product links in,
a priced table out.

Paste Office Depot product URLs, one per line, and each comes back as a row - name, brand, price and the currency it is in, availability, the stock codes, rating and review count, images, and a status column that tells you what actually happened to that request. Seventeen columns, one row per product.

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one-time 500 free rows$0.002 per row afterone row per productCSV · JSON · Excel
How it works

One field,
then read the status.

There is very little to configure - which is why the last step is the one that matters.

  1. STEP 1Sign in to the platform.
  2. STEP 2Open the Office Depot Products Scraper.
  3. STEP 3Paste Office Depot product URLs, one per line - or upload a CSV, XLSX, TXT or Parquet file.
  4. STEP 4Set a limit per query if you want one. The field takes a minimum of 1 and defaults to 100.
  5. STEP 5Click Get Data and download as CSV, JSON or Excel.
  6. STEP 6Read the status column first, then check that name and price actually carry values.

That last step is not boilerplate. In our own runs a status of ok arrived alongside an otherwise empty row - see the data dictionary.

Why teams use it

A column that tells you
when it went wrong.

Failures arrive as data, not silence

Most scrapers drop a request that did not work. This one returns the row anyway with a status saying what happened - we have seen ok, http 404 and blocked (needs residential proxy). A blank cell you can explain is worth far more than a row that quietly never appeared.

Price twice, on purpose

price and parsed_price are separate columns, and currency is a third. The display string stays readable while the parsed value is what you sum and sort, so nothing downstream has to strip a symbol out of text before it can do arithmetic.

Two stock codes, not one

sku and sku_code are both declared, alongside brand. On a catalogue this large, the identifier is what makes an export joinable to a purchasing system - which of the two carries what is something your own first export will show you.

Data dictionary

Seventeen columns,
and a warning about one of them.

The names are the service's own declared list and the header row of our exports. What each column is for is below. What each will contain is not - and the note explains exactly why we will not guess here.

query
The URL you submitted for this row, echoed back. The scraper writes it, so it is present even when the request failed - which is what lets you tell which input produced which failure.
status
What happened to this request. Read this first. We have observed three values: ok, http 404 and blocked (needs residential proxy). See the warning below about what ok does and does not promise.
name
The product name as the page declares it.
brand
The brand the page declares.
price
The price as the page presents it.
parsed_price
The price as a value to compute on, kept separate from the display string above.
currency
The currency that price is in, as its own column - so you are not parsing a symbol out of the price field.
availability
The stock status the page declares.
sku
A stock code for the item.
sku_code
A second stock-code column the service declares alongside sku. Which of the two carries which identifier is something to confirm from your own export.
rating
The product rating, if the page publishes one.
reviews
The review count - a number, not the review text. There is no review body anywhere in this export.
description
The product description the page declares.
image
A product image.
images
The image column in its plural form, declared alongside image. Whether it holds several values and in what shape is not something we can tell you yet.
url
The product link.
product_url
A second link column the service declares alongside url.

The names are dependable. The values are your first run's job - and here that is a stronger caveat than usual. We hold seven run exports for this service and not one of them contains a real Office Depot product. Four came back with a status of ok while name read Site Maintenance and every other field was blank - the retailer was serving a maintenance page and the scraper faithfully captured it. One came back blocked (needs residential proxy). The remaining two were http 404 against a placeholder URL rather than Office Depot at all. So the single most useful thing we can tell you is this: a status of ok does not mean you got product data. Check that name and price actually carry values before you trust a row. Two further notes. The form's hint says anti-bot sites return a blocked status on the free pool, which is residential-only, and one of our rows says exactly that - so a residential proxy may be needed for this retailer. And our oldest export carries only eleven of these seventeen columns, so the schema has moved; anything you measure should come from a current run rather than an old file.

Try one product free
Common workflows

Three jobs people
run this for.

All of them start from product links you already have.

Procurement

Price a basket against your own list

Office supplies are bought on a repeating list rather than one item at a time. Feed the product URLs you actually reorder and you get name, price, currency and availability in one table - the same shape every month, which is what makes month-on-month comparison possible at all.

Procurement · Finance
Monitoring

Catch the out-of-stock before the order does

availability and status together describe both the product and the request. Run the list on a schedule and you learn not only what went out of stock but which links stopped resolving - the http 404 rows are the discontinued lines nobody told you about.

Supply · Ops
Comparison

Line one supplier up against another

This is one of several retailers on the same seventeen-column schema, so an Office Depot export and a Macy's or Quill export stack in a single table without reshaping. The identifiers are what let you match the same item across two of them.

Category management
Get started
Pricing

Pay per product row,
nothing else.

No subscription, no minimum, no per-seat licence. Your first 500 rows are on us - after that it is pay-as-you-go.

Free tier

500 free rows - $0

For every new account, one time. No credit card. All scrapers unlocked. Given that no run we hold has returned a real product, this is the part that matters most here: spend a handful of rows establishing what this export actually gives you before you plan anything around it.

$0 forever
Pay-as-you-go

$0.002 per row, after the free tier

Roughly $2 per 1,000 products, the same flat rate as every other scraper on the platform. One row per product means the bill is the length of your link list - including the rows that come back with a failure status, since those are rows too.

Most popular
Enterprise

Custom - long catalogues, on a schedule

Volume pricing, SLAs, dedicated workers and tailored onboarding for teams repricing large supply catalogues across several retailers. Tell us your numbers and we will quote.

Talk to us
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10% off your first paid run.Use code LIVESCRAPER10 at checkout.
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Pairs well with

The same shelf,
a different supplier.

Office supplies rarely come from one place, and a comparison only works if the exports line up.

Quill Products Scraper

The most direct comparison there is - another office-supplies catalogue, and one that needs no residential proxy. Run both when you are checking whether a price is competitive rather than just current.

Explore

Macy's Products Scraper

A different retailer on the same seventeen-column schema, so the two exports stack in one table without any reshaping. Useful mainly as a second data point on how this shared pipeline behaves.

Explore

Amazon Products Scraper

A far deeper schema on a different pipeline - old price, shipping, rank and a long tail of specification fields. Reach for it when seventeen columns is not enough for the comparison you need.

Explore
The legal bit

Is it legal to scrape
Office Depot product pages?

Short answer: yes, when you only collect what a product page publishes publicly - and that is all this service reads.

A product listing is public. Anyone can open it without an account and read the name, the price and the availability, and collecting publicly visible commercial information is long-settled practice. As long as the data is publicly available and the process does not disrupt the service, there are no federal laws against it.

This is also the cleanest kind of export we run, because none of these seventeen columns is personal data. A price, a stock code and an availability status describe a product rather than a person, so the data-protection questions that apply to a review or a profile do not arise here. Prices are a business's own commercial information - treat a supplier's the way you would want yours treated, and remember that a price you captured is a price at a moment rather than a standing fact.

Office Depot's terms restrict automated access, so this remains a question of terms. We touch nothing behind a login, read only what an ordinary visitor's browser is served, run no third-party trackers on the data layer, and your exports self-delete after 30 days.

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livescraper.app · principles
Public product pages only✓
No logins, no paywalls✓
Failed requests come back labelled, not hidden!
No personal data in these seventeen columns✓
Exports self-delete (30 days)✓
The same listing any shopper sees.
Common questions

Things people ask before signing up.

The questions we hear most. Something else? Talk to us - humans write the answers, not bots.

What columns will the export contain?+
Seventeen: query, sku_code, product_url, name, description, parsed_price, price, currency, availability, rating, reviews, images, brand, sku, url, image and status. That is the service's own declared list, shared with the other retailers on the same pipeline, and it matches the header row of our exports.
What do I submit?+
A full Office Depot product URL, one per line - the form's own example is a link of the officedepot.com/a/products/… form. You can upload a CSV, XLSX, TXT or Parquet file instead of pasting.
What does the status column tell me?+
What happened to that request. We have seen three values in our own runs: ok, http 404, and blocked (needs residential proxy). Because a failed request still comes back as a row rather than vanishing, you can tell which of your input URLs did not work and why.
Does a status of ok mean the row has product data?+
No, and this is the most important thing on the page. Four of our runs returned a status of ok while the name column read Site Maintenance and every other field was blank - Office Depot was serving a maintenance page and the scraper captured it accurately. Always check that name and price carry values before you trust a row.
Does it need a residential proxy?+
It may. The form says anti-bot sites return a blocked status on the free pool, which is residential-only, and one of the runs we hold came back with the status blocked (needs residential proxy). So plan for the possibility rather than assuming the free pool will get through.
What does the limit field do?+
It caps how many products come back per query. On this form the field takes a minimum of 1 and defaults to 100, and its placeholder reads all - note that it does not accept 0, unlike some of the other scrapers here.
Have you run this yourself?+
Seven times, and not one run returned a real Office Depot product - four hit a maintenance page, one came back blocked, and two were 404s against a placeholder URL rather than Office Depot at all. We would rather tell you that than present column descriptions as though we had watched them fill.
What does it cost?+
The first 500 rows on a new account are free and one-time; after that it is $0.002 per row - about $2 per 1,000 - pay-as-you-go with no subscription. Rows that come back with a failure status are still rows. Credits do not expire and there is no monthly reset.

Send one link
and read the status.

Paste a single Office Depot product URL, run it, and see what the status column says before you build anything on top. Your first 500 rows are free.

Start free See full pricing
Activates instantly · no card required

Export Office Depot product data as rows

Office supplies are bought from a list that barely changes and a price that changes constantly, which makes them an obvious thing to track and a tedious thing to track by hand. This service takes the product links you already reorder from and returns each as a row: name, brand, the price as displayed and as a value you can compute on, the currency, availability, the stock codes, rating and review count, images, and the product link. Seventeen columns, one row per product.

The form is deliberately small - a list of URLs and a limit, which takes a minimum of one and defaults to a hundred. What deserves your attention is not a setting but a column. status records what happened to each request, and because a request that failed still comes back as a labelled row rather than silently disappearing, you can tell exactly which of your input links did not work. In our own runs that column carried three values: ok, http 404, and blocked (needs residential proxy).

That last value is worth planning around. The form's own hint notes that anti-bot sites return a blocked status on the free pool, which is residential-only, and one of the exports we hold says precisely that. So a residential proxy may be needed for this retailer - not a certainty, but not a surprise either.

And one caveat that this page puts near the top rather than burying, because it is the sort of thing that quietly ruins a pipeline. A status of ok does not guarantee product data. Of the seven run exports we hold, four returned ok while the name column read Site Maintenance and everything else was blank: Office Depot was serving a maintenance screen, and the scraper recorded what it was given, accurately and uselessly. One run was blocked, and the remaining two were 404s against a placeholder URL rather than the retailer at all. In other words, we have never seen a real Office Depot product come back - so the seventeen column names here are dependable, and every statement about what those columns will contain is deliberately absent rather than guessed. Check name and price, not just status. Start free: your first 500 rows cost nothing and need no credit card. See pricing for current rates.