Export Boots product data from a category URL
Retail research usually starts with a shelf rather than a product. You want the whole of a category - what is stocked, what it costs, what it is called and how it is identified - and clicking through it by hand is the part nobody has time for. This service takes the link instead. Paste a Boots product URL or a whole category URL, one per line, and each product comes back as a row: name, price, the currency that price is quoted in, availability, brand, the three identifiers that make an export joinable, an image, a link and a description. Fifteen columns, one row per product.
The form has one input and one control, because there is nothing else to decide. The control is a limit per query - and the word per is doing real work: five category URLs with a limit of two hundred returns two hundred products from each, not two hundred in total. Set it to 0 to take everything. There is no proxy field, and that is not an omission: Boots is not one of the four retailers the platform flags as blocking datacenter traffic or rendering products client-side, so requests go out through the shared pool and there is nothing for you to rent or configure.
What makes this export useful downstream is that the identifiers are their own columns. A product name is a label two retailers will write two different ways, and matching on it means fuzzy matching. sku, mpn and gtin are exact, when a retailer publishes them - join on those first and fall back to names only for the remainder. Price and currency are likewise kept apart, so nothing downstream has to strip a symbol out of a string before it can do arithmetic, and two runs of the same category line up column for column, which is the whole basis of watching a price move.
One limit is worth stating plainly, because it changes what you should expect. Products are read from the JSON-LD a page publishes about itself - the structured data retailers embed for search engines - so a column arrives filled only if Boots declares that field, and a blank means not published rather than run failed. And we have not run this against Boots ourselves: of the forty-five exports we hold from this shared pipeline, forty-four came back empty and the only populated one is a different retailer, where six of the fifteen columns were empty on every row. That tells you something about the tool and nothing reliable about Boots, which is why this page prints no example values, no formats and no fill rates. Run one category on the free tier and read the header row - your first 500 rows cost nothing and need no credit card. See pricing for current rates.