The Scrape Lab

Web scraping and data pipelines for fresh public web data.

I turn public websites into clean datasets, feeds, APIs, and dashboards your team can use.

38+ scraper workflows Sheets, APIs, databases, dashboards Review, build, delivery, maintenance
Meaningful outputs

Start with the outcome.

Scraping is useful when the data lands where decisions happen.

Sales teams

Find accounts by territory or ICP.

Turn maps and directories into deduped lead lists.

Typical fields
Name, website, phone, category, location, source URL
Delivery
Sheets, CSV, Airtable, CRM import
Operators

Track market changes automatically.

Monitor listings, prices, inventory, filings, and publisher updates.

Typical fields
Price, status, seller, timestamp, article, alert URL
Delivery
Database, API, dashboard, Slack, email
Data teams

Turn public pages into clean datasets.

Normalize fields, keep source metadata, and deliver usable records.

Typical fields
Stable IDs, raw source URL, normalized fields, collected at
Delivery
Postgres, Supabase, JSON, warehouse-ready files
Services

From website to usable dataset.

Send the source, fields, cadence, and destination. I will recommend the right workflow.

01

Scraping systems

Collect public data from directories, listings, reviews, documents, social pages, and news.

02

Data engineering

Clean, dedupe, schedule, monitor, and deliver data to your tools.

03

Lead generation

Build B2B lists with source URLs and quality checks.

04

Maintenance

Keep recurring scrapers working when sites change.

Example data tasks

Clear requests are faster to scope.

Lead list

Source
Google Maps and company registries
Output
Deduped business records with public contact and source fields.

Pricing monitor

Source
Marketplaces, stores, and vehicle listings
Output
Recurring price and availability snapshots with changed-row tracking.

News dashboard

Source
Publishers, RSS-like feeds, and article pages
Output
Country, topic, article, source, and model metadata for review.

Document extraction

Source
PDFs, filings, catalogs, and public reports
Output
Markdown, tables, links, citations, and RAG-ready text chunks.
Proof

Built for delivery, not just scraping.

Actor library

38+ scraper workflows across common public sources.

Live dashboard

A private dashboard reads production summary data.

Usable outputs

CSV, Sheets, APIs, databases, dashboards, or alerts.

Feasibility first

Sources are reviewed before build.

Good fit

Best for public data that needs structure and delivery.

  • Public pages, listings, feeds, or documents.
  • Clear fields, examples, cadence, and delivery.
  • Workflows that need clean output.
  • Recurring monitoring with maintenance.
Not a fit

Some requests need a different approach.

  • Private data or restricted access.
  • Paywall or access bypassing.
  • Vague targets or undefined fields.
  • Requests needing legal advice.

Need public web data?

Send the source, fields, cadence, and destination. I will recommend the fastest practical path.

Request a Data Task