Services

Web Scraping Services.

Pick a category — or tell us about a site that isn't listed. We've probably already scraped it.

By category

Pick your scrape.

Or tell us about a site that isn't listed. We've probably already scraped it.

E-commerce data scraping

Catalog, prices, stock, seller data, reviews — across Amazon, Walmart, Target, Tesco, and 50+ more.

Compare

Krawlx vs DIY vs Generic Scraping API.

Krawlx
DIY in-house
Generic scraping API
Setup time
1–3 weeks
1–3 months
Days, but generic
Maintenance burden
We own it
On you
On you
Anti-bot handling
Full-stack
DIY
Partial
Data validation
Per-field rules
DIY
None
SLA on breakage
4–24 hours
n/a
Best-effort
Custom schema
Yes
Yes
No
Cost at scale
Predictable
Unpredictable
Per-request
How we work

Five phases. No surprises.

01

Discovery (Free)

We map the target sites, fields, volumes, refresh frequency, and compliance constraints. Output: a written scope with a fixed price.

02

Proof of Concept (48h)

A sample dataset of 1,000–10,000 records from your top target. Validated, in your format. If you don't like it, you don't pay.

03

Production build (1–3 weeks)

Full pipeline with anti-bot handling, validation, deduplication, and your delivery integration.

04

Delivery & monitoring

Data lands on schedule. Structural monitors watch every target. We patch breakages under SLA.

05

Iteration

New fields, new sites, new schedules — change requests turn around in days, not sprints.

Industries

Built for the industries that move on data.

E-commerce

Typical data needs:

  • Price intelligence
  • Catalog enrichment
  • MAP monitoring

Travel & Hospitality

Typical data needs:

  • Rate parity
  • Comp-set dashboards
  • Revenue mgmt feeds

Real Estate

Typical data needs:

  • iBuyer pricing
  • Underwriting data
  • Listing aggregation

Recruitment

Typical data needs:

  • Talent intelligence
  • Compensation data
  • Hiring signals

Finance & Hedge Funds

Typical data needs:

  • Alt data signals
  • News-driven feeds
  • Filings monitoring

Food Delivery

Typical data needs:

  • Menu pricing
  • Market entry
  • Commission audit

Market Research

Typical data needs:

  • Survey alternatives
  • Sentiment
  • Brand tracking

Retail & CPG

Typical data needs:

  • Distribution mapping
  • Share-of-shelf
  • Promo intel
Selected work

Case studies.

12,400+
competitor SKUs / day
Grocery Retail

How a top-10 US grocery chain rebuilt its competitor pricing pipeline in two weeks.

Read case study
40 OTAs
live rate coverage
Travel Meta-search

An EU travel meta-search firm that needed live rates from 40 OTAs — and got them.

Read case study
2 → 18
markets in 6 months
Proptech

Real-estate analytics SaaS scaled from 2 markets to 18 without hiring a scraping team.

Read case study

Ready to put your data team back on real work?

Tell us the sites and the fields. We'll send a free sample dataset within 48 hours.

Get a Free Sample