Data Quality

If your team verifies data before acting on it, the vendor's QA has failed.

98%+ data accuracy
Pre-checked before every delivery
<2hr issue resolution
Free 48hr proof

4-Stage QA Process

Problems found before they reach you — not after.

01
Data Format Setup
Fields and formats locked in before we write any code. If the main method fails, two backup methods ensure data still ships complete. Your data format doesn't change without your sign-off.
02
Test Run
Day before delivery: test 10–15 random URLs per site. Format issues or site changes caught here and fixed before your delivery.
03
Full Run
We run and monitor the full collection. 95%+ of products successfully collected per delivery. Every data point validated — correct prices, right currencies, no missing fields. Our team flags anything unusual.
04
Pre-Delivery Review
Human review before delivery. Unclear prices, unusual listings, borderline stock status — flagged and resolved. Nothing ships with a known issue.

What Goes Wrong — And How Fast We Fix It

Sites break constantly. The question is who finds it first.

<2hr
Standard fix time
24hr
Max for complex issues
95%
Of site issues resolved before delivery
98.7%
On-time delivery rate
Scenario
DIY / SaaS Tool
ProWebScraper
Site changes layout
You discover broken data days later
Test run catches it. Fixed before your delivery.
Site blocks automated access
Data stops. You file a ticket. Wait.
Detected in minutes. Alternate method deployed within 24 hours.
Price data breaks
Wrong prices delivered. Bad decision made.
QA holds delivery until fixed.

Verify It Yourself

Don't trust our numbers. Prove them.

01
Send us 50 products
Your products, 3 competitor sites. Include the tough ones.
02
We deliver in 48 hours
Complete data file with prices, stock, timestamps, and source URLs — your format, your sites.
03
You spot-check
Open the competitor site. Compare to our data. Source URLs make it seconds per product.
04
You decide
Errors? We fix them. No errors? You proved it yourself. No trust leap needed.
Request Sample Data

50 products, 3 competitor sites, 48 hours.

Delivery & Integration

Data delivered to your existing tools. No dashboard required.

Method
Details
File delivery
CSV, Excel, JSON - via SFTP, S3, email, or cloud storage
API access
Rest ful API for programmatic access
Direct push
To your data warehouse (Snowflake, BigQuery, Redshift)
Scheduled
Daily, weekly, or custom cadence — on your schedule
Power BI / Tableau
File refresh or connector
Snowflake / BigQuery
Direct push or S3 staging
Excel / Google Sheets
File delivery on schedule
Custom ERP / Pricing System
API or file-based
Security & compliance details Trust & Security

See it With Your Own Data

Free POC: 3-5 sites, 48-72 hours. Real data from your competitors, delivered in your format.

Request Sample Data
We'll send within 24 hours.

Frequently Asked Questions

What does "98%+ accuracy" mean?

Most vendors measure whether a product was found on a competitor's site. We measure whether every data point in your file is correct — the price, the currency, the stock status, the variant. A product can be "found" on 100% of sites and still have wrong prices in 40% of rows. We target 98%+ accuracy at the individual data point level, not at the page level.

How often do sites break?

Sites change layouts 2–4 times per year. At 10 sites, that's 20–40 breaks annually. One enterprise client with 150+ sites sees 30–35 site fixes per week. Our test run system catches most before they affect delivery.

What kind of errors does your QA catch?

Real examples from client projects: garbled characters in price fields (1,820 ;$ cleaned to $1,820), sale price and full price swapped (so markdown looks higher than regular), local currency labels instead of standard codes (lei corrected to RON), leading zeros stripped from product IDs (breaks catalog matching), size and stock count mismatches. Each run typically produces 10–100 issues per site out of ~3,000 records.

What if a site changes and you can't fix it in time?

You're notified before delivery is late. Standard fix: under 2 hours. Complex fixes (full redesign, new anti-bot): up to 24 hours. We never deliver silently wrong data.

What if I don't trust your accuracy claims?

Send us 50 products from 3 competitor sites, we deliver data in 48 hours, you spot-check against the live sites. Every data point includes the source URL and timestamp. If you find errors, we fix them. If you don't, you've proven it yourself.

Can I see QA logs?

Yes. Dry run results, fix history, collection metrics, and quality sign-off reports. Full audit trail for compliance-sensitive clients.

Do you support real-time data?

Most clients use daily or weekly batch delivery. Hourly updates available for high-priority sites. Real-time streaming for specific use cases — ask us.

What if you can't get data from a site?

We assess feasibility during scoping. If a site becomes inaccessible mid-project, you're notified immediately. You're never charged for data we can't deliver.