Manual research does not scale
Teams lose time checking pages, copying data, and rebuilding spreadsheets when they need recurring structured feeds.
Managed web data extraction, monitoring, and delivery for teams that need reliable public web data.
Scrapezilla helps teams collect data from public websites, structure it around their business requirements, monitor changes, and deliver it into the systems they already use.
Scrapezilla is built for organizations that need public web data but do not want to own scraping infrastructure, fragile scripts, proxy management, parsing rules, and ongoing maintenance.
Each service page explains common sources, data fields, delivery options, and business outcomes.
Track competitor prices, discounts, marketplace offers, promotions, and availability-aware price changes.
Collect reviews, ratings, review counts, customer language, reputation signals, and feedback trends.
Monitor stock status, restocks, out-of-stock events, local availability, and assortment changes.
Extract titles, descriptions, categories, specs, variants, images, attributes, and product identifiers.
Scrapezilla adapts the same managed data workflow to the public sources and decisions that matter in each market.
Pricing, product, inventory, marketplace, review, and merchandising data for commerce teams.
Listings, sellers, offers, ranking, review, price, and visibility data from marketplace pages.
Listings, prices, availability, agents, locations, property details, and market movement.
Job postings, employers, titles, skills, compensation, locations, and hiring trends.
Business teams know what information they need, but the data lives across websites that change, paginate, lazy-load, block, rename fields, and present the same information in inconsistent formats.
We help define the data model, build the extraction workflow, monitor it, and deliver clean data into your business systems.
Teams lose time checking pages, copying data, and rebuilding spreadsheets when they need recurring structured feeds.
Fields, layouts, pagination, variants, filters, and page behavior vary across sites and change over time.
Internal scraping scripts can work for a while, then break when sites redesign or change their rendering behavior.
Teams need clean records, consistent schemas, timestamps, delivery formats, and monitoring they can trust.
Scrapezilla handles the practical work between public web pages and the data your team can actually use.
We map the fields, sources, refresh schedule, destinations, quality checks, and business rules.
Scrapezilla configures the extraction, parsing, normalization, and monitoring workflow around your needs.
Receive recurring data in the format and destination that best fits your team.
Whether the destination is a spreadsheet or a production system, Scrapezilla focuses on delivering usable records.
Recurring exports for analysis, reporting, and operational teams.
Structured files for data teams, apps, and custom workflows.
Data delivered into internal software, dashboards, or automation systems.
Records normalized for querying, BI, modeling, and historical tracking.
Signal important changes such as price moves, stockouts, new listings, or review shifts.
Project-specific delivery into the tools and systems your business already uses.
Scrapezilla is built for business users who need dependable data and technical teams who would rather not maintain scraping infrastructure.
Scrapezilla helps structure messy web pages into fields that match your business schema.
Your data sources, output format, cadence, and workflow shape the implementation.
We help maintain and adapt extraction workflows as websites and requirements change.
When web data becomes part of how a business operates, it needs a service behind it, not just a script.
Scrapezilla
Scope a Data WorkflowTell us the sources, fields, refresh schedule, and delivery format you need. Scrapezilla will help scope the project and deliver structured data your team can use.