Product fields vary
Titles, descriptions, specs, dimensions, categories, and identifiers are presented differently across sites.
Managed catalog scraping for product titles, descriptions, specs, variants, categories, images, identifiers, and attributes.
Scrapezilla turns public product and catalog pages into structured datasets that support merchandising, enrichment, analytics, monitoring, and internal business workflows.
Public product pages contain valuable catalog information, but fields are inconsistent, variants are complex, images are scattered, and product pages change often.
We build and maintain extraction workflows so teams can receive normalized product catalog data without owning scraping infrastructure.
Titles, descriptions, specs, dimensions, categories, and identifiers are presented differently across sites.
Size, color, bundle, pack, compatibility, and configuration options can create many records from one product page.
Images, videos, documents, and asset URLs often need to be collected and mapped to products or variants.
New products, discontinued items, updated specs, and category movement can happen without a clean feed.
Collect product data from public ecommerce sites, supplier catalogs, manufacturer pages, marketplaces, and category pages.
Collect product titles, descriptions, SKUs, brands, categories, URLs, badges, and identifiers.
Extract product specs, dimensions, materials, compatibility, technical attributes, and product facts.
Collect and normalize color, size, pack, model, configuration, and bundle variants.
Collect product image URLs, gallery assets, documents, videos, thumbnails, and media metadata.
Monitor which products appear in categories, search pages, featured placements, and navigation structures.
Deliver recurring product data into PIM, analytics, ecommerce, merchandising, or internal systems.
Scrapezilla helps teams use catalog data for analysis, enrichment, comparison, monitoring, and operational workflows.
Fill gaps in internal product data using public titles, descriptions, specs, images, and attributes.
Track which products competitors, suppliers, and marketplaces add, remove, promote, or update.
Deliver structured catalog data into merchandising, analytics, content, and operations workflows.
Replace repetitive product page copying with scheduled extraction and normalized records.
Scrapezilla helps define the source list, catalog schema, variant rules, media fields, refresh cadence, and delivery format.
Share the websites, categories, product types, identifiers, fields, and media assets your team needs.
We map inconsistent product pages into a consistent schema with product, variant, category, and asset records.
Receive recurring structured catalog data in the format and destination your business needs.
Scrapezilla can deliver product catalog data into analysis, enrichment, PIM, ecommerce, and internal systems.
Clean catalog exports for analysts, operations, content, and merchandising teams.
Nested product, variant, attribute, and media records for technical workflows.
Structured product data delivered into internal apps, PIMs, and dashboards.
Scrapezilla helps teams collect product data without building and maintaining a fragile internal scraper.
Structure data around products, variants, attributes, categories, assets, identifiers, and source records.
Handle different source layouts, variant patterns, attribute tables, galleries, and category pages.
Monitor catalog changes and deliver updated records on the cadence your team needs.
Scrapezilla focuses on responsible collection of publicly available web data and can work with your legal, privacy, and compliance requirements before a project begins.
Tell us the product sources, categories, fields, refresh schedule, and delivery format you need. Scrapezilla will help scope a catalog scraping workflow.