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VZU Scrape · A VZU capability

VZU Scrape .

Resilient scrapers with proxy rotation.

Capability

VZU Scrape

12

Engineers

VZU Scrape is the automation capability in the VZU family — resilient scrapers with proxy rotation. Operated by Virtual Zero Unbound Inc. (Vancouver), Plex Dubai (MENA), and Wahix (India). Ships on the NetWit Agentic OS runtime. SOC 2, HIPAA, ISO 27001 posture. Audit trail by default. RBAC at the agent level.

VZU Scrape — concept image

The position

Data, at the source.

VZU Scrape is the resilient-web-scraper practice. The data is on the page. The data isn't in the API. The data isn't in the database. The data is on the page, in the HTML, behind a JavaScript render, in a paginated list, in a login-gated flow. VZU Scrape is the practice that gets the data.

We do resilient scrapers. We do proxy rotation. We do headless browser automation. We do rate limiting. We do captcha handling. We do data normalization. The output is a pipeline that runs on a schedule, writes to a database, and alerts when the data changes. The data is the work. The data is auditable.

VZU Scrape engineers are senior. They have shipped production scrapers at scale. They know the failure modes. They know the legal posture. They know when the data is public, when it's behind a login, and when it's a Terms of Service violation. They write the scraper so the operator gets the data, the data is auditable, and the legal exposure is documented.

The practice, in pictures

Three things we get right, every time.

VZU Scrape — concept 1
VZU Scrape — concept 2
VZU Scrape — concept 3
Plex Dubai property scraper. UAE real estate listings.
Production

The proof

Plex Dubai property scraper. UAE real estate listings.

A real estate listing scraper for the UAE, scraping 12 listing sites, normalizing the data, deduplicating across sources, and writing to a Postgres database. Built by VZU Scrape in 4 weeks.

  • 12 source sites, normalized to a single schema
  • Deduplication across sources with confidence scores
  • Proxy rotation with 50+ residential IPs
  • Captcha handling for the gated sources
  • 4

    Weeks to ship

  • 12

    Source sites

  • 50+

    Proxies

  • Daily

    Refresh

Brief VZU on this

The engagement

How we work, end to end.

VZU Scrape engagement model
Stack

Playwright + Postgres

Or Puppeteer. Or raw fetch + cheerio. The right tool for the source.

Proxies

Residential + datacenter

50+ residential IPs. Datacenter fallback. Country targeting. The right IP for the site.

Resilience

Auto-retry + backoff

Every failure is logged. Every retry has a backoff. The operator sees the failure rate.

Legal

ToS + robots.txt

We respect robots.txt. We read the ToS. We document the legal exposure. The data is auditable.

Output

Postgres + JSON + CSV

Write to the database the engineer is using. Export to the format the operator wants.

Long-form essay

VZU Scrape.
A working essay.

Why the scrape is the operator's data feed. Why the scraper is the work. Why the senior engineer with the audit trail is what ships the data that ships the model.

Chapter 01 · The brief

A data feed, not a script.

VZU Scrape started with a brief from a competitive intelligence operator in London. 4,000 sources. 2M+ data points a day. A scraper that was a 12,000-line Python script that ran on a single VM and broke every Tuesday. The operator's data freshness was 72 hours. The operator's data accuracy was 78%.

The brief from the operator was specific: ship a data feed. A scraper per source. A scheduler. A validator. An audit trail. A data feed that the operator's ML team could rely on. A 6-week ship. A 12-month payback on the data accuracy improvement.

The hardest part wasn't the scraping. The hardest part was that the feed had to be the operator's feed — not VZU's feed. The sources, the schema, the audit. The operator owns the goal. VZU ships the work. The feed is the operator's posture: unbound.

A VZU Scrape data source diagram

Chapter 02 · The work

A scraper per source. A scheduler. A validator. An audit trail.

The work is the senior engineer who has shipped 50+ production data feeds. The work is the engineer who knows the difference between a script and a feed. The work is the engineer who writes the per-source scraper, the scheduler, the validator, the audit trail.

We build the feed on the operator's infrastructure. The feed is auditable. The feed is the record. The feed is the work.

We ship in three passes. The first pass is the foundation — the per-source scrapers, the scheduler, the validator. The second pass is the audit — the schema check, the data quality check, the cost monitor. The third pass is the polish — the API, the dashboard, the alert system. The output is a working feed. The feed is auditable. The feed is the work.

“The scrape is the operator's data feed. The scraper is the work. The senior engineer with the audit trail is what ships the data that ships the model.”

— VZU Scrape, run #1

Chapter 03 · The result

6-week ship. 4k sources. 78% → 96% accuracy.

The feed shipped in 6 weeks. 4,000 sources. 2M+ data points a day. The freshness went from 72 hours to 4 hours. The accuracy went from 78% to 96%. The payback was 9 months.

The feed is now the operator's primary data source. The feed is the operator's first impression. The feed is the operator's first sale. The feed is the operator's posture.

The brief expanded. VZU Scrape now runs as a weekly iteration for the operator. Every week, new sources are added. Every week, the validator is updated. Every week, the operator's feed is the operator's feed. The scrape is the work. The runtime is the engine. The work is the work.

96%

accuracy · 4k sources · 4hr freshness

Chapter 04 · The why

Why the scrape is the operator's data feed, not a script.

VZU exists because the seam is the work. VZU Scrape exists because the scrape is the work. The scrape is what turns a brief into a posture. The scrape is what turns a posture into a destination. The scrape is what turns a destination into a legacy.

VZU Scrape is a senior practice. The engineers who do the work have shipped 50+ production data feeds. They have hit 96% accuracy. They have reduced freshness from 72 hours to 4 hours. They write the code so the operator's feed is the operator's feed.

VZU Scrape is fixed-fee, fixed-scope, audit-first. The brief is the contract. The work is the work. The runtime is the engine. The audit trail is on from the first character. The seam is the work. VZU ends the seam.

A VZU Scrape feed in production

The VZU Scrape practice

The work, in motion.

Every brief becomes a working product in days. Every product is engineered for the long term — clean architecture, real audit trails, real operators in the loop. The VZU Scrape practice at VZU is built on senior engineering, the NetWit runtime, and a refusal to ship anything we wouldn't put on a public domain.

The VZU family

Eleven more capabilities, on the same runtime.