BiggestBook is Essendant's online catalogue for its reseller customers - office supplies, furniture, technology, break room and janitorial. Ask for it with an ordinary HTTP client and you get a 6.9 KB application shell with no product in it. This service loads the page the way a browser does and hands back seventeen columns per product.
Fetch https://www.biggestbook.com with curl and you get HTTP 200 and about 6.9 KB - an Angular shell with <base href="/ui">, a title of "Biggestbook Web", and not one occurrence of a price, a SKU or an add-to-cart control. The catalogue arrives afterwards, from JavaScript. Anything built on an HTTP library and an HTML parser reads that shell and concludes the page is empty.
The export carries price and parsed_price, sku and sku_code, image and images, url and product_url. That is not redundancy for its own sake - one of each pair is for reading and one is for computing, and knowing which is which before you write the importer saves a rewrite.
BiggestBook exists to serve resellers rather than shoppers, so the fields that matter are the ones a purchasing system needs - identifier, brand, availability, currency - rather than the ones a marketing page leans on. The schema reflects that: two identifier columns, and rating and reviews present but never assumed.
Livescraper runs this schema across a row of B2B and supply sources - CDW, AutoZone, Brady, Decathlon and others. The seventeen names and their order are identical, so one importer reads all of them and adding a second source is a configuration change rather than a project.
The last column is status, written by our exporter rather than by the site. A row that could not be retrieved still arrives, carrying the reason. You reconcile against the input list instead of discovering a silent gap three weeks later.
The two runs behind this page both submitted a placeholder URL that returned a 404, so we hold no BiggestBook product data at all. The column list below is real - it is the header row of those exports. The values are not described, because we have not seen any.
Read out of the header row of a real export of this service, in sheet order. The two runs we hold returned no data under that header - see the note below the table - so each entry says what the column is for and stops there.
sku below - check both before choosing a join key, because in this schema family they are populated independently.url, which reports the address the row was actually produced from; the two differ whenever a submitted link redirects.parsed_price when you need to compute.rating. Where both are present they belong together; a rating with no count behind it is not worth ranking on.sku_code.query to spot redirects, and against product_url to spot canonicalisation.http 404 here, because the URL submitted was a placeholder that does not exist.Seventeen columns per row · CSV, JSON or Excel
Two runs sit behind this page, from 14 and 15 July 2026, and their payloads are byte-identical. Both submitted https://www.example.com/product/123 - a placeholder, not a BiggestBook address - and both returned a single row reading http 404 with all fourteen data columns empty. So we can tell you the schema with confidence and we can tell you nothing about BiggestBook's values, and this page does not pretend otherwise. The seventeen names appear in the same order in our CDW, AutoZone, Brady and Decathlon exports, and the Decathlon run is populated across 66 rows, which is how we know the schema is live rather than a stub.
Submit the URLs for the items you care about on a schedule and keep parsed_price, currency and the run date. The value is not any single figure but the series: when a manufacturer moves, it usually moves a whole line at once, and a table shows that where a browser tab does not.
Group the export by brand and count. Depth per maker tells you where a distributor has committed and where it is only sampling - the same question a buyer asks before adding a supplier, answered from the catalogue itself.
Reseller product databases tend to be strong on identifiers and thin on copy and imagery. description, image and images fill that gap against a sku you already hold, without re-photographing anything.
Read availability across the items on a quote before it goes out. It is the catalogue's published state rather than a live feed, so treat it as a warning system - enough to catch the line that has been out for a month.
One-time, on signup. No card, and nothing to cancel afterwards.
Billed on rows actually returned. A row that comes back with a status other than a successful one is not a row of product data, and you are not charged as though it were.
Credits do not expire on a monthly cycle. Run a catalogue sweep in March and nothing again until September if that is the shape of the work.
LIVESCRAPER10 at checkout.The same seventeen-column schema pointed at a department store instead of a distributor - useful when you need the retail side of a price comparison.
Another product catalogue on the same shape, so one importer reads both exports without a branch.
A dated image of the page beside the row. On a JavaScript catalogue that is worth having: it is the only record of what the page actually rendered.
Registration and DNS facts for the suppliers and resellers a catalogue sweep turns up.
Product facts on a publicly reachable page are ordinary competitive information. The caveats worth stating are about access and reuse, not about the data itself.
A price, a product name, a brand and a stock state are facts about goods offered for sale. Reading them from a page that is served to any visitor is the same activity a buyer performs by hand, done at a useful speed. Nothing in the seventeen columns describes a person: there is no name, no email, no phone number and no account, so the data-protection questions that shape our people-facing services do not arise here.
Two caveats are worth stating plainly. First, access: BiggestBook is built for Essendant's reseller customers, and parts of a distributor catalogue - account-specific pricing above all - sit behind a sign-in. We do not log in, we do not use anyone's credentials, and we do not defeat a paywall, so what this service can reach is what an anonymous visitor can reach. If the figure you need only appears once you are signed in as a particular reseller, this will not produce it. Second, reuse: descriptions and product photography are someone's copyrighted material. Using them internally for price monitoring, assortment analysis or reconciliation against your own records is ordinary practice; republishing them as your own catalogue is a separate question with a different answer.
Our own terms are the same as on every other service here. Publicly available pages only, nothing behind a login, no third-party trackers on the data layer, and exports auto-delete after 30 days. Your first 500 rows are free and need no credit card.
query, sku_code, product_url, name, description, parsed_price, price, currency, availability, rating, reviews, images, brand, sku, url, image and status. One row per product URL you submit.http 404, so every data column came back empty. That is enough to establish the seventeen column names and nothing more, which is why this page describes what each column is for and never what its values look like.https://www.biggestbook.com with an ordinary client returns HTTP 200 and roughly 6.9 KB - an application shell titled "Biggestbook Web" with <base href="/ui"> and no price, SKU or cart markup anywhere in it. The products are fetched and rendered afterwards, so a scraper built on an HTML parser alone sees an empty page.price is the price as displayed and parsed_price is the same figure as a bare number; sku and sku_code are populated independently in this schema family, so check both before you pick a join key. The same doubling applies to image and images, and to url and product_url.http 404 there.Seventeen columns per product, from a page that does not give them up to an ordinary HTTP request. Your first 500 rows are free, then $0.002 each.
BiggestBook is the online catalogue Essendant operates for its reseller customers, covering office supplies, office furniture, computer and technology supplies, break room and janitorial goods. It is a distributor catalogue rather than a consumer storefront, which is why its useful fields skew towards the ones a purchasing system needs - identifier, brand, currency, availability - rather than the ones a marketing page leans on.
The practical obstacle is how the site is built. A request to https://www.biggestbook.com from an ordinary HTTP client returns a successful response of roughly 6.9 KB containing an Angular application shell - <base href="/ui">, the title "Biggestbook Web", a stylesheet - and no product markup at all: no price, no SKU, no add-to-cart control. The catalogue is fetched and rendered by JavaScript after that shell loads. Anything built on an HTTP library and an HTML parser will therefore read a valid page and find nothing in it, which is the single most common reason a homegrown BiggestBook scraper appears to work and returns empty rows. This service loads the page the way a browser does, so the products are present by the time anything is read.
The export is seventeen columns per product URL: query, sku_code, product_url, name, description, parsed_price, price, currency, availability, rating, reviews, images, brand, sku, url, image and status. Four of those are pairs - price as displayed against price as a number, two identifier fields, primary image against all images, requested URL against canonical URL - and knowing which half to use before you write the importer is the difference between a clean load and a rewrite. The same seventeen names in the same order are what our CDW, AutoZone, Brady and Decathlon exports carry, so one importer serves the whole B2B and supply-store family.
We are being deliberately plain about the limits of what we can show. The two runs held behind this page, from 14 and 15 July 2026, both submitted a placeholder address rather than a BiggestBook one, and both came back with a 404 and every data column empty. That establishes the schema - a header row is a real header row even with no data beneath it - and it establishes nothing about BiggestBook's values, so you will find no sample prices, product counts or ratings anywhere on this page. Access has a real boundary too: parts of a distributor catalogue, account-specific pricing in particular, sit behind a reseller sign-in, and this service does not log in, so what it reaches is what an anonymous visitor reaches. Publicly available pages only, no third-party trackers on the data layer, and exports auto-delete after 30 days. Your first 500 rows are free and need no credit card.