Competitors reprice constantly
Sale prices, coupons, shipping fees, bundles, and marketplace offers can change throughout the day.
Managed competitor price monitoring for e-commerce, marketplaces, retail, brands, and revenue teams.
Scrapezilla turns public pricing pages into clean, structured data feeds so your team can track competitors, spot pricing changes, and make faster pricing decisions.
Competitor prices, discounts, shipping costs, marketplace offers, and inventory signals change across many websites every day. Manual checks miss important movement, and internal scrapers often become a maintenance burden.
We build, monitor, and maintain price extraction workflows so your team receives reliable pricing data without owning scraping infrastructure.
Sale prices, coupons, shipping fees, bundles, and marketplace offers can change throughout the day.
A price only tells part of the story. Teams also need availability, seller, variant, promotion, and timestamp data.
Each retailer, marketplace, or competitor site presents prices, variants, locations, and promotions differently.
Pricing teams need consistent recurring feeds, not one-off screenshots or manually assembled spreadsheets.
Collect price intelligence from public retailer pages, marketplace listings, category pages, search results, and competitor websites.
Monitor priority products across competitor websites and receive recurring price, discount, and availability updates.
Track limited-time promotions, coupon language, bundle offers, sale badges, and promotional page changes.
Watch marketplace seller offers, buy box-like positions, seller prices, shipping costs, and offer movement.
Combine price data with availability, out-of-stock events, store location, and fulfillment details.
Normalize pricing records across sites so equivalent products, variants, pack sizes, and brands can be compared.
Deliver recurring price data into spreadsheets, dashboards, databases, cloud storage, or internal pricing systems.
Scrapezilla helps teams move from manual price checks to consistent data feeds that support pricing strategy, competitive intelligence, and revenue operations.
Spot competitor price drops, promotions, and stock changes while the data is still useful.
Understand where price pressure is coming from before responding with broad discounts.
Replace inconsistent manual research with structured recurring datasets that teams can trust.
Deliver clean data into dashboards, pricing tools, forecasting models, or internal business intelligence workflows.
Scrapezilla handles the extraction, normalization, monitoring, and delivery work so your team can focus on pricing decisions.
Share the competitor sites, marketplace listings, product groups, fields, refresh schedule, and delivery format your team needs.
Scrapezilla handles extraction, parsing, normalization, retries, monitoring, and site-change maintenance.
Get recurring pricing records delivered to spreadsheets, cloud storage, APIs, databases, dashboards, or internal tools.
Use Scrapezilla for one-time competitor price studies, recurring price feeds, or ongoing monitoring workflows.
Simple exports for price audits, competitor reviews, category reports, and spreadsheet workflows.
Structured delivery for pricing systems, dashboards, product tools, and internal applications.
Scheduled drops to S3 or another shared destination for downstream processing.
Normalized price records delivered into the database or warehouse your team already uses.
Lightweight reporting for teams that want fresh pricing data without a custom dashboard.
Delivery shaped around your existing operations, review process, and reporting cadence.
Price monitoring works best when the data is consistent, current, and easy to act on. Scrapezilla is built for repeatable pricing workflows that need reliability and structure.
Scrapezilla handles the extraction mechanics so your team does not need to maintain fragile competitor price scrapers.
Messy web pages are transformed into consistent pricing fields that are easier to compare, filter, and analyze.
When competitor sites change, Scrapezilla can update the workflow and keep the data feed moving.
Start with a few competitors, one category, or a single product set, then expand as the use case proves value.
Data can be delivered in formats that pricing teams, analysts, engineers, and executives can all use.
Scrapezilla can scope dynamic pages, variants, location-based pricing, shipping details, marketplace offers, and changing page layouts.
Scrapezilla focuses on responsible collection of publicly available web data and can work with your legal, privacy, and compliance requirements before a project begins.
A few ways Scrapezilla helps teams turn public pricing data into repeatable reporting.
A pricing team monitors priority SKUs across competitor websites and receives a daily file with price, discount, stock, and URL fields.
A brand tracks seller offers, prices, shipping terms, seller ratings, and offer positions for marketplace listings.
A retail team collects promotion labels, sale prices, coupon language, and category-level price changes across competitors.
Use these questions to capture long-tail organic searches and address common buyer concerns.
Scrapezilla can scope public product pages, category pages, marketplace listings, search results, seller offers, sale prices, discounts, shipping costs, availability, and other public pricing signals relevant to your project.
Projects can be configured as one-time datasets or recurring feeds, such as daily, weekly, hourly, or custom refresh schedules depending on your sources and use case.
Yes. Scrapezilla can help normalize fields such as SKU, brand, model, product title, variant, pack size, price, availability, and source URL to support product matching workflows.
Yes. Scrapezilla can scope seller and offer monitoring workflows for public marketplace data such as seller names, prices, shipping details, offer positions, and listing URLs.
Tell us the competitor sites, marketplace listings, fields, refresh schedule, and delivery format you need. Scrapezilla will help scope the project and deliver structured pricing data your team can use.