Ecommerce product data, at catalog scale.
Product data powers pricing tools, marketplaces, and shopping models, but collecting it is tedious. We extract full catalogs or targeted slices from any storefront, delivered in your schema.
What we extract
From a single boutique shop to marketplaces with millions of listings, we pull the fields you need and nothing you do not.
- Core fields. Titles, descriptions, prices, discounts, SKUs, variants, and availability.
- Rich content. Product images, specifications, reviews, ratings, and Q&A sections.
- Any source. Storefronts, marketplaces, brand sites, or a list of specific shops.
- Ongoing feeds. Scheduled refreshes for price monitoring and catalog change tracking.
Clean delivery
Product data from the wild is messy: duplicate listings, inconsistent units, missing fields. We normalize, deduplicate, and deliver in JSONL, CSV, or Parquet, matched to the schema you give us.
As with every Nexorpus project, you approve a sample batch before the full run, and the whole engagement stays private.
Common questions
Can you track prices over time?
Yes. Recurring pulls on a schedule are common for pricing intelligence projects.
Can you match products across different stores?
Cross store matching can be included in the engagement. Describe the matching rules you need and we will include them in the sample.
What does a project cost?
Quoted per project, and we beat any comparable quote. Email data@nexorpus.com with the sites and fields you need.
Describe the data. We deliver it.
One email is all it takes. We reply with questions, samples, and a quote that beats the market.
data@nexorpus.com