Online store scraping

Scraping fashion stores in Italy — price & assortment monitoring

Products, sizes, colors and prices from fashion retailers in Italy — with every variant and per-size stock.

42 stores in this list Category: fashion & Apparel Geography: Italy

In fashion retail in Italy assortment moves in collections, and sales erode margins faster than they get noticed. Scraping captures new arrivals, markdown starts and sold-out sizes day by day.

There are 42 platforms here, led by Nike, H&M, ASOS by domain authority. Site size is not a constraint: catalogs with hundreds of thousands of SKUs and small stores are normalized to the same field schema, making sellers directly comparable.

Shelves in this list carry Nike, Adidas, Puma, Converse, New Balance, Vans and other brands — every product is linked to its brand in the feed, so you can track brand presence and pricing across sellers.

Delivery is tailored to the task: from a one-off Excel/CSV file to a stream of updates via API or into your DBMS. We start with a free data sample — you verify structure and quality before any payment.

data structure

Fields we collect: Fashion & Apparel

The baseline set for this category — extended to fit your task.

01
Model & card

title, brand, SKU, category, URL, photos

02
Variants

size, color, material — each combination separately

03
Prices & discounts

current and old price, markdown size, promo codes

04
Per-size stock

availability of each variant, size-curve depletion

05
Fabric & care

materials, composition, country of origin

06
Newness & collections

first-seen date, collection membership

why business needs it

Jobs this scraping gets done

Markdown monitoring

Depth and pace of competitor sales by brand.

Assortment analytics

Line width, price segments, share of new arrivals.

Distribution control

Where and at what price your brand sells, grey sellers included.

Buying decisions

Which models and sizes sell out first.

Stores in this category in Italy

Ranked by domain authority — price scraping and scheduled price monitoring are available for any platform below.

# Store Domain DR
1
Nike
nike.com 90
2
H&M
hm.com 87
3
ASOS
asos.com 86
4
Zara
zara.com 86
5
Uniqlo
uniqlo.com 85
6
Farfetch
farfetch.com 84
7
Gucci
gucci.com 84
8
Puma
puma.com 84
9
Shein
shein.com 84
10
Net-a-Porter
net-a-porter.com 82
11
Mango
mango.com 79
12
Mytheresa
mytheresa.com 76
13
YOOX
yoox.com 76
14
Deichmann
deichmann.com 75
15
Guess
guess.eu 75
16
Diesel
diesel.com 74
17
LuisaViaRoma
luisaviaroma.com 74
18
Bershka
bershka.com 73
19
Pull&Bear
pullandbear.com 73
20
Benetton
benetton.com 72
21
Oysho
oysho.com 72
22
Calzedonia
calzedonia.com 71
23
Intimissimi
intimissimi.com 71
24
Stradivarius
stradivarius.com 71
25
Liu Jo
liujo.com 69
26
Zalando
zalando.it 69
27
Adidas
adidas.it 68
28
Privalia
privalia.com 67
29
Geox
geox.com 63
30
OVS
ovs.it 57
31
Tezenis
tezenis.com 57
32
Yamamay
yamamay.com 54
33
Falconeri
falconeri.com 53
34
Foot Locker
footlocker.it 52
35
Spartoo
spartoo.it 51
36
Zalando Privé
zalando-prive.it 50
37
Kiabi
kiabi.it 49
38
JD Sports
jdsports.it 42
39
Pittarosso
pittarosso.com 41
40
La Redoute
laredoute.it 38
41
About You
aboutyou.it 35
42
Bonprix
bonprix.it 34

DR (Domain Rating) — domain authority on a 0–100 scale; it reflects link-profile strength, not sales.

top platforms

Top platforms: what gets scraped

Quick notes on the leaders of this list — any of them can be plugged into the same field structure.

Scraping Nike

From Nike we usually extract model & card, variants, prices & discounts. The export arrives in the same structure as the rest of this list, so the data compares directly.

H&M price monitoring

On H&M we track the catalog and prices — variants, prices & discounts — one-off or on a schedule. Delivered as a file, via API or straight into your database.

ASOS price monitoring

For ASOS we collect prices & discounts, per-size stock — with change history — useful for repricing and assortment control.

Scraping Zara

For Zara we collect per-size stock, fabric & care — with change history — useful for repricing and assortment control.

Uniqlo data: catalog and prices

For Uniqlo we set up recurring collection: fabric & care, newness & collections, model & card. Cadence ranges from a one-off export to several refreshes a day.

how we work

From request to first delivery

01

Scope the task

We fix the stores, fields, catalog depth and refresh frequency.

02

Free sample

A data fragment in the agreed structure — before any payment.

03

Collect & validate

Full collection with completeness and consistency checks.

04

Deliver & refresh

File, API or database — refreshed on your schedule.

questions & answers

Frequently asked questions

Do you collect stock for every size?
Yes, we log availability of each size × color variant. Depletion dynamics show which sizes sell out first — a demand signal.
How do you track sales and markdowns?
With scheduled collection we log old and new price per variant: markdown start, depth and further changes are visible by date.
Can you collect selected brands only?
Yes, we can limit collection to a brand or category list — it reduces volume and cost.
request data

Need scraping of fashion stores?

Describe the task — we will set up a price scraper for it, propose the field set and refresh cadence, and send a free data sample for the stores you pick.

We'll respond within one business day.