COUPON & DEALS DATA SCRAPING

Every code, every deal,
verified and structured.

// THE SHORT ANSWER

Coupon and deals data scraping extracts promotional data — discount codes, offer values, validity windows, brands and sources — across coupon sites, merchant pages and deal aggregators. iWeb Data Scraping delivers it QA-verified as CSV, JSON or API, so coupon platforms, affiliate sites and price-comparison tools can keep offers fresh, deduplicated and validated. Codes are checked for structure and expiry, so stale and duplicate offers are flagged.

Get free sample in 48h See the data
99%+field accuracy, QA-verified
48hfree sample turnaround
24/7pipeline monitoring
ISO 27001+ 9001 certified

Key facts

  • Data point: Coupon code
  • Data point: Brand / merchant
  • Data point: Discount value
  • Data point: Discount type (% / flat / shipping)

Coupon and deals data has a short shelf life: codes expire, offers change, and duplicates spread across sites. For coupon platforms, affiliate publishers and price-comparison tools, keeping a fresh, deduplicated, validated feed of codes and offers is the whole product — and doing it manually across hundreds of merchants and coupon sites doesn't scale.

We capture discount codes, offer values, validity windows, brands and sources across coupon sites and merchant pages, deduplicated and structured — feeding price & promo intelligence and coupon/affiliate products. This overlaps with e-commerce pricing data.

On compliance: we collect only publicly listed promotional offers — no personal data. See Trust & Compliance.

THE POINT

One vertical, every platform that matters in it — matched into a single feed your team actually uses.

DATA POINTS WE EXTRACT

Codes, values, validity.

Coupon code
Brand / merchant
Discount value
Discount type (% / flat / shipping)
Validity / expiry
Source (site / merchant)
Category
Terms & conditions
Minimum spend
First-seen date
Verified flag
Deduplication key
SEE THE DATA FIRST

What you'll actually receive.

Real sample structure from this feed. Your free 48-hour sample comes in your category, in this shape — CSV, JSON or straight to your warehouse.

Coupon feed — code, brand, discount, validity, source.
code brand discount type valid_till source verified
SAVE20 BrandX 20% percent 2026-08-31 coupon site yes
FLAT500 BrandY 500 flat 2026-07-25 merchant yes
FREESHIP BrandZ Free shipping shipping 2026-09-15 coupon site no
WELCOME10 BrandX 10% percent 2026-12-31 merchant yes
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
WHO USES THIS

Built for the person
who owns the number.

COUPON PLATFORM

Keep offers fresh

A deduplicated, validated feed of live codes and deals across merchants and sources.

AFFILIATE PUBLISHER

Monetize accurate deals

Fresh, working offers that convert — with expiry flags so you don't publish dead codes.

PRICE-COMPARISON TOOL

Show the real price

Layer live coupons onto product prices to show the true, post-discount price.

RELATED:E-commerce Data Scraping →Price & Promo Intelligence →Product Reviews Dataset →
FAQ

Before the first call.

Coupon codes, brand/merchant, discount value and type (percentage, flat, free shipping), validity and expiry, source (coupon site or merchant), category, terms and conditions, minimum spend, first-seen date, a verified flag and a deduplication key — across coupon sites, merchant pages and deal aggregators.

We capture validity and expiry data and flag structure, so stale and expired offers can be filtered. Live redemption-testing (actually applying codes at checkout) can be added as a custom layer for platforms that need verified-working codes.

Yes — the same code often appears across many sites. We attach a deduplication key so duplicates collapse into a single canonical offer, which is essential for a clean coupon feed.

Coupon and deals platforms, affiliate publishers, cashback apps and price-comparison tools — anyone whose product depends on a fresh, accurate, deduplicated feed of live codes and offers.

Get a free sample dataset in 48 hours.