Prices change throughout the day
Promotions, discounts, shipping costs, and marketplace seller prices move too quickly for manual spreadsheets.
// E-COMMERCE DATA
E-commerce
E-commerce
Web Scraping
Managed web scraping services for competitor pricing, product catalogs, inventory, marketplaces, and review data.
Scrapezilla helps e-commerce teams collect clean, structured web data from public websites so they can make faster pricing, merchandising, and growth decisions.
Competitor price monitoring
Product catalog extraction
Inventory tracking
Marketplace seller monitoring
// THE PROBLEM
Manual competitor research does not scale
Pricing, inventory, and marketplace data changes constantly. When teams rely on manual checks or fragile internal scrapers, important changes are missed and engineering time gets pulled away from your core business.
Scrapezilla handles the data pipeline
We build, monitor, and maintain the extraction workflow so your team receives usable e-commerce data without managing scraping infrastructure.
Product pages are inconsistent
Every site structures titles, SKUs, variants, availability, and reviews differently, making clean comparison difficult.
Internal scrapers break often
Site redesigns, JavaScript rendering, pagination, and layout changes can turn a quick script into a maintenance burden.
Data needs to reach real workflows
Pricing and merchandising teams need structured data in dashboards, models, spreadsheets, or internal systems.
// USE CASES
What Scrapezilla can collect for e-commerce teams
Get exactly the data you need, extracted when and where you want it.
Competitor price tracking
Monitor prices, discounts, shipping costs, coupons, MAP violations, and promotional changes across competitor websites.
Data fields
Price
Sale price
Discount
Shipping
Timestamp
Product catalog scraping
Extract product titles, descriptions, categories, images, attributes, variants, and specs from retailer or marketplace pages.
Data fields
SKU
Title
Brand
Category
Image URLs
Inventory and availability monitoring
Track in-stock, out-of-stock, low-stock, location-based availability, and assortment changes across product pages.
Data fields
Availability
Stock state
Location
Fulfillment method
Last seen
Marketplace seller monitoring
Watch seller lists, buy box ownership, unauthorized sellers, listing changes, ratings, and marketplace positioning.
Data fields
Seller name
Seller rating
Offer price
Position
Listing URL
Review and rating extraction
Collect public reviews, ratings, review counts, product sentiment signals, and recurring customer complaints.
Data fields
Rating
Review text
Date
Variant
Helpful count
Assortment and launch tracking
See which products competitors add, remove, restock, feature, bundle, or discount over time.
Data fields
New products
Removed products
Category movement
Badges
Launch date
// BUSINESS OUTCOMES
Turn public e-commerce data into better decisions
Scrapezilla turns messy web pages into structured datasets that pricing, merchandising, marketplace, and growth teams can use directly.
React faster
Spot competitor promotions, price drops, and availability shifts before they become stale.
Protect channels
Monitor seller activity, listing changes, and pricing behavior across key marketplaces.
Improve merchandising
Compare assortment, attributes, category structure, and product positioning across competitors.
Feed analytics
Deliver consistent e-commerce data into dashboards, forecasting models, pricing tools, or internal databases.
// HOW IT WORKS
A managed scraping workflow from source list to structured data
A scraper built for your needs, that adapts to the data.
01 / SCOPE
Tell us what data you need
Share the websites, fields, refresh schedule, volume, delivery format, and any normalization rules your team needs.
02 / BUILD
We build and maintain the scrapers
Scrapezilla handles extraction, parsing, retries, monitoring, and site-change maintenance.
03 / DELIVER
You receive structured data
Get clean data delivered to your spreadsheet, cloud storage, API endpoint, database, or internal workflow.
// DATA DELIVERY
E-commerce data delivered where your team already works
Scrapezilla can support one-time datasets, recurring feeds, or ongoing monitoring workflows.
CSV or Excel
Simple exports for analysis, category reviews, pricing audits, and spreadsheet workflows.
[JSON or API]
Structured delivery for product systems, pricing engines, dashboards, and internal applications.
Cloud storage
Scheduled drops to S3 or another shared destination for downstream processing.
Database delivery
Normalized records delivered into the database or warehouse your team already uses.
Google Sheets
Lightweight reporting for teams that want fresh data without a custom dashboard.
Custom workflows
Delivery shaped around your existing operations, QA process, and reporting cadence.
// WHY SCRAPEZILLA
Built for ongoing e-commerce data operations
DIY scripts are useful for experiments. Scrapezilla is built for repeatable business data workflows that need reliability, structure, and maintenance.
Managed scraping infrastructure
Scrapezilla handles the mechanics of extraction so your team does not need to maintain brittle scripts.
Structured, normalized data
Messy product pages are transformed into consistent fields that are easier to compare and analyze.
Monitoring and maintenance
When websites change, Scrapezilla can update the workflow and keep the data feed moving.
Flexible project scope
Start with one competitor set, one marketplace, or a single category, then expand as the use case proves value.
Business-friendly delivery
Data can be delivered in formats that analysts, operators, engineers, and executives can all use.
Support for complex sites
Scrapezilla can work with pagination, JavaScript-heavy pages, variants, location-based data, and changing product layouts.
// RESPONSIBLE DATA COLLECTION
Designed for public web data workflows
Scrapezilla focuses on responsible collection of publicly available web data and can work with your legal, privacy, and compliance requirements before a project begins.
Publicly available source review
Project scoping before extraction
Data minimization where appropriate
Custom compliance requirements
// EXAMPLE PROJECTS
Common e-commerce scraping requests
Just a few uses for our platform.
Competitor pricing report
A retail team monitors priority SKUs across competitor stores and receives a daily file with price, discount, stock, and URL fields.
Better visibility into pricing gaps
Marketplace seller watchlist
A brand tracks marketplace listings, seller names, offer prices, and rating changes for selected products.
Faster detection of seller changes
Category assortment tracker
A merchandising team collects product counts, attributes, category placement, and new item launches across key competitors.
Clearer view of market movement
// FAQ
E-commerce web scraping questions
Use these questions to capture long-tail organic searches and remove buying friction.
What e-commerce websites can Scrapezilla scrape?
Scrapezilla can scope public product pages, category pages, marketplace listings, review pages, search results, and other public web sources relevant to your project.
Can Scrapezilla track competitor prices on a schedule?
Yes. Projects can be configured as one-time datasets or recurring feeds, such as daily, weekly, or custom refresh schedules.
Can the data be cleaned and normalized?
Yes. Scrapezilla can structure messy product data into consistent fields such as SKU, price, brand, category, availability, rating, and timestamp.
Can Scrapezilla scrape JavaScript-heavy e-commerce sites?
Scrapezilla can scope complex sites with JavaScript rendering, pagination, variants, filters, and dynamic product data.
// GET STARTED
Need Reliable
Need Reliable
E-commerce Data?
Tell us the websites, fields, refresh schedule, and delivery format you need. Scrapezilla will help scope the project and deliver structured data your team can use.