Custom web data extraction

The data partner teams hire when decisions can’t wait.

We turn public websites into clean, structured data feeds. Built around your sources, delivered on your schedule. Start with a free sample from your own sources and see the data before you commit.

Get a free data sample
500+ clients100% satisfaction rateFounder-led10+ years of experienceWork with senior operators

Trusted by 500+ companies, startups and individuals.

Iceland Travel
Blue Orange
myrunway
boxtribe
Kore Real Estate Group
42matters
Udemy
nextflat
Crunch
Swell Inc.
Sunday
Wildcat Capital Management
XCStats
Distribusion
catchhotels
QAPA
Product Folks
Client logo
Quotient
Saw.com
Markmi
Client logo
Tensile Capital Management
Car Geeks Collision
ParcelNinja
Packt
Pioneer Interests
Syndigo
Luxury Family Rentals
flowingbee
Moshbit
Velocity by design
Auditi
mxney
The challenge

Your most valuable data is sitting on someone else’s website.

Nearly every team we talk to hits one of these three walls.

There’s no export button.

Prices, listings and contacts are public, but only as web pages. Someone copies them by hand, or the team goes without. Either way the data never reaches the spreadsheet or model that needs it.

The cost: Decisions made on stale or partial data

Your scrapers keep breaking.

Sites change layouts, add blocks and tighten rate limits. In-house scripts quietly return half the rows, and an engineer spends the week patching them instead of building.

The cost: Engineering time burned on maintenance

Raw data isn’t usable.

Duplicates, missing fields and inconsistent formats pile up. Nobody trusts the numbers, so the analysis stalls and the dashboard sits half empty. No clean data, no decision.

The cost: No trusted numbers, so no decisions
Scoping

See the data before you commit.

We start with a free sample from your real sources. You see the fields, the quality and the refresh rate before we build anything long-term.

Recorded walkthroughA detailed screencast video: the recommended plan for building your data infrastructure step by step, including the tools we’d use and the timeline, plus a review of your sample, pipeline and sources.
Written documentationEverything from the walkthrough in a document you can keep and share: data points, sources, refresh schedule and delivery format.
Get your data in 5 quick steps
1
Founder of REData Analytics
Lazar TelebakFounder
Who you work with

The expert behind your data.

REData Analytics is led by a full-time scraping and automation consultant who builds reliable, scalable systems for extracting, processing and delivering data.

Over 10+ years, he has worked with 500+ startups, agencies and companies, from one-time extraction projects to long-running systems processing tens of millions of records.

The comparison

Four ways to get web data.

What do you need? Pick your situation and see where each option fits.

DIY tools

Large vendors

In-house team

REData Analytics

DIY tools

Cheap to start

  • You build and maintain every scraper
  • Blocks and site changes are on you
  • Best for small, one-off jobs

Large vendors

Broad platforms

  • Powerful, but built for enterprise scale
  • Often generic, with long onboarding
  • Support can feel distant

In-house team

Full control

  • Engineers tied up on maintenance
  • Slow to add new sources
  • High fixed cost

REData Analytics

Specialist, hands-on

  • Custom feeds built around your questions
  • Maintenance and fixes included
  • Direct access to the person building it
Common questions

Straight answers.

The questions we hear most.

01

Do I own the data?

Yes. Everything we deliver is yours to use, and we can send it straight into your own database or cloud storage.

02

What if a website blocks scraping?

We use proven techniques to keep access stable, and we tell you upfront if a source isn’t practical, before you commit to anything.

03

How do I receive the data?

CSV, JSON, API, cloud storage, Google Sheets or directly into your database, on a schedule you choose.

04

What happens when a website changes?

We monitor every pipeline and fix it. Maintenance is part of the service.

05

How much does it cost?

Pricing depends on sources, volume and frequency. We scope it after a free discovery call and sample.

06

How fast can we start?

Most samples are ready within days of the discovery call, depending on the sources.

Your free data sample, built on your actual sources.

Tell us what you need and we’ll reply with a plan and a sample.