Why Teams Choose Managed Data Operations

Whether you're using DIY, SaaS platforms, or in-house teams—you handle the operational burden.

With managed: we do it all.

Request Sample Data
48 hours, your products and sites
Managed Service. Zero Operational Burden.
We detect site changes, handle breaks, verify quality, and deliver clean files. You review output. That's it.

The Real Choice: Who Handles the Work?

DIY (Scripts or Tools)
SaaS Platforms
PWS Managed
Who maintains it?
You do
Fix breaks when sites change
Update selectors
Monitor runs
Handle anti-bot issues
Platform does scraping
You do integration
Export data
Clean & reformat
Load to your tools
We do everything
Detect & fix breaks
Monitor quality
Deliver clean files
Zero maintenance from you
Your team's time
15-25 hours/week
For 5-10 sites. Ongoing maintenance, monitoring runs, fixing breaks when sites change. (Doesn't include initial scraper creation.)
5-10 hours/week
For 5-10 sites, 1000+ SKUs. Daily exports, fixing missing data, cleaning formats, dealing with incomplete records, loading to BI tools.
30 min - 1 hour/week
For any size project. Review delivered file, spot-check data. Done.
Data output
Raw data dumps
You validate, clean, and prep for analysis
Dashboard views
Still need to export + reformat for your tools
Decision-ready files
Delivered directly to Excel/S3/BigQuery/Sheets
Flexibility
Full control over fields
Custom logic possible
But You build & maintain it
Knowledge loss with turnover
Fixed "as-is" platform
Can't request custom changes
Limited to their field catalog
Their dashboard view, not yours
Define exactly what you need
Custom fields & business rules
Your format, your schedule
Flexible as your needs change
When it breaks
Site layout changes → you fix
Anti-bot measures → you solve
Takes 4-8 hours per site break
Data gaps during fixes
Submit ticket, wait 1-3 days
Limited to their site catalog
Still manual export work
Can't add custom workarounds
We detect & fix automatically
Adapt in 15-20 minutes
Zero data gaps
You never know it happened

When DIY Makes Sense (honest guidance)

We're transparent about when you DON'T need us.

Pick DIY if you:
Need data from 1-2 simple sites only
Have spare engineering time for ongoing maintenance
Don't need audit-ready evidence (screenshots, timestamps)
Can afford data gaps when things break
PWS makes sense when you:
Monitor 5+ sites ongoing (retailers, marketplaces, competitors)
Need audit-ready evidence for MAP enforcement or legal use
Want zero maintenance (we handle all site changes)
Need custom fields or business rules (not "as-is" platforms)
Need decision-ready data (automated QA + human review)
Want 10-15 hours/week back in your calendar

Not sure if managed is right for your situation?

We'll tell you honestly in the 15-min call.

Who this is for

Brand Protection & Pricing Teams
Stop spending half your week maintaining scrapers. Get clean violation reports with proof—no technical work required.
Category & Merchandising Teams
Focus on assortment strategy, not fixing broken data pipelines or cleaning exports.
Small eCommerce Teams (5-15 people)
You don't have dedicated engineers. You need data that works, not another technical project to maintain.
Data & BI Teams
Reliable feeds delivered directly to your warehouse—no ETL work, no data quality fires to fight.

Cost comparison

DIY (Scripts or Tools)
SaaS Platforms
PWS Managed
Cost structure
Your engineering time
(ongoing maintenance)
Per-SKU pricing
(scales with catalog)
Per-site × frequency
(predictable)
Example: 10 sites weekly
~$5K-7K/month
(0.5 FTE engineer + infrastructure)
~$3K-8K/month
(depends on SKU count)
~$1K-1.5K/month
(doesn't scale with SKUs)
Your time investment
10-15 hrs/week maintenance
2-5 hrs/week export/clean
30min-2hrs/week review

Start your trial

See your data in 48-72 hours using your products and sites.

Frequently Asked Questions

Common questions about our competitive price monitoring service.

Is this a tool or service?

Managed service. We handle all scraping, quality control, and delivery. You receive decision-ready files.

What happens when the sites you're monitoring change their layout?

Sites change 2-4 times per year on average (new layouts, anti-bot measures, framework updates). With 10 sites, that's 20-40 breaking events annually.

With DIY approaches, each break requires 2-3 days of engineering time to fix. With PWS managed, we detect changes automatically and adapt within 15-20 minutes. Your data delivery continues without interruption—you never know it happened.

Will we need our engineers involved?

No. Public pages only.