01 / BUILD
Web scraping and site monitoring, built as real code.
If the data is on a website, I can watch it, collect it, and deliver it. Custom scrapers, crawlers, and monitors for any site: not no-code connectors that break on the first layout change.
Why me
I run this for myself first
RestockTime is my own product: 60+ monitors watching retail sites around the clock, pushing 1,000+ alerts a day to a paying community. It has run for 7+ years at 99.9% uptime. That is not a case study I borrowed, it is infrastructure I operate.
The same engine powers an in-store availability checker across 5,000+ physical stores by ZIP code, and for HSG Nationwide I built a data pipeline that turned 10M+ data points into instant reports.
When you hire me to scrape or monitor a site, you get the architecture that already survived 7 years of production. Read the RestockTime case study or the HSG data platform build.
Deliverables
Four shapes of scraping work
Every project reduces to one of these patterns, or a combination. Described as outcomes, because the implementation is my problem.
WATCH: the pages and products you care about
→ DIFF: price, stock state, new listings, content edits
→ ALERT: Discord, SMS, or webhook the moment it changes
→ LOG: full history of every change
✓ You hear it first
SCHEDULE: crawl runs hourly, daily, or weekly
→ COLLECT: structured data from every target page
→ NORMALIZE: dedupe, clean, validate
→ DELIVER: spreadsheet, database, or API
✓ Fresh dataset, no manual pulls
TRACK: competitor prices and stock across retailers
→ COMPARE: against your own catalog
→ FLAG: undercuts, stockouts, new SKUs
→ REPORT: dashboard or scheduled digest
✓ Pricing decisions on data, not vibes
CRAWL: public directories and listings
→ EXTRACT: business names, contacts, attributes
→ ENRICH: dedupe and fill the gaps
→ EXPORT: CSV or straight into your CRM
✓ A lead list nobody else has
Process
Scope, build, harden, run
- 01
Scope
What data, from where, how fresh, delivered to what. The legality and compliance review happens here, before any code.
- 02
Build
The scraper, crawler, or monitor written as real code against the actual data source. No connectors, no middleware tax.
- 03
Harden
Retries, structured logging, respectful rate limits, and failure alerts. A scraper that silently dies is worse than no scraper.
- 04
Run
Hosted and monitored around the clock. You get the data and the alerts; I watch the watchers.
Pricing
Build fee plus flat hosting
Scraping projects vary too much for a menu price, so here is the honest structure instead.
Build
Fixed fee
Scoped by sources, data complexity, and delivery target. Quoted before any code is written, and it does not move after.
Run
Flat monthly
Hosting, monitoring, and maintenance at a flat rate. No per-row, per-task, or per-alert fees that punish you for scale.
Consumer
$29.99/mo
Restock alerts without a custom build: RestockTime is the productized version of this exact service.
Proof
Scraping systems in production
RestockTime
60+ retail monitors, 1,000+ daily alerts, 7+ years of uptime for a paying community.
10M+HSG Nationwide
A national data platform turning 10M+ data points into instant reports for a contractor network.
DefenseSavantShopper
I build the other side too: bot detection and anti-scraping protection for a platform guarding its data.
FAQ
Web scraping, answered
Is web scraping legal?
Collecting publicly available data is broadly established practice, and I build with respectful rate limits and compliance in mind. I review every project before taking it: what data, from where, for what use. If a project does not pass that review, I say no.
What websites can you scrape or monitor?
If the data is publicly visible on a website, it can usually be collected or watched for changes. Each project is scoped around outcomes: what data you need, how fresh it has to be, and where it should land. I do not publish target lists or discuss specific implementations.
How is the scraped data delivered?
Wherever your team already works: Discord, SMS, email, or a webhook for alerts, and spreadsheets, a database, or a clean API for datasets. Delivery format is part of scoping, not an afterthought.
What is the difference between a scraper, a crawler, and a monitor?
A scraper extracts structured data from pages. A crawler walks many pages to build a dataset. A monitor watches a target on a schedule, diffs it against the last known state, and alerts you the moment something changes. Most real projects combine two of the three.
How much does a custom scraper or monitor cost?
A fixed build fee scoped by the number of sources, the data complexity, and the delivery target, then a flat monthly hosting cost. No per-row or per-task fees that punish you for scale. If you just want sneaker and Pokemon restock alerts, RestockTime is the consumer product at $29.99 a month.
Why not use a no-code scraping tool?
No-code tools break the moment a site changes and nobody gets alerted. My scrapers are real code with retries, logging, and failure alerts, the same architecture that has kept 60+ of my own monitors running for 7+ years at 99.9% uptime.
Related
The rest of the BUILD stack
Business Automation
Scraped data is a trigger: wire it into workflows that act on it automatically.
Custom Software
When the pipeline needs a dashboard, an admin panel, or a whole platform around it.
AI Integration
Put a model on top of the data: summaries, scoring, and answers instead of raw rows.
Tell me what to watch
Describe the data and where you want it delivered. I will scope the build, flag any compliance issues, and quote a fixed fee.
Or call (786) 964-8050.