ALTERNATIVE DATA

See the quarter
before it prints.

// THE SHORT ANSWER

Alternative data from the web turns observable consumer-platform behavior — prices, discount depth, stock-outs, assortment breadth, review velocity — into investment signals on listed names, delivered as point-in-time panels that are safe to backtest: every record timestamped as-observed, never restated. iWeb Data Scraping builds ticker-mapped panels on your coverage universe and delivers on your rebalance schedule; one consumer fund's discount-depth panel led the earnings print by six weeks.

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

Key facts

  • Integrity: Point-in-time, as-observed timestamps, no restatement policy in writing
  • Mapping: Brand→ticker mapping maintained; corporate-action aware
  • History: Forward collection from engagement start; selective backfills where archives permit, flagged as such
  • Delivery: CSV/Parquet drops or API · daily to monthly cadence

Consumer companies disclose quarterly; their websites disclose continuously. Discounting deepens on the site weeks before it appears in gross margin. Stock-outs, assortment cuts and review-velocity shifts are all observable — if someone is watching systematically, with the discipline investing requires.

That discipline is the product. Point-in-time integrity (data as it appeared on the observation date, never backfilled or restated), ticker mapping maintained through rebrands and consolidations, and documented methodology your compliance team can review. The consumer-fund case study shows the shape: a 14-ticker discount-depth panel, six weeks of signal lead over the print.

WHAT'S INCLUDED

Signals with the discipline
your backtest demands.

Point-in-time integrity

Every record carries its observation timestamp; history is never restated. What you backtest is what you would have seen.

Ticker-mapped entities

Brands, banners and subsidiaries resolved to listed parents — maintained as portfolios of brands change hands.

Signal families

Price & discount depth, promo cadence, stock-out rates, assortment breadth, review velocity & sentiment, store/coverage expansion.

Universe on demand

Panels built to your coverage list; add a name and history collection starts immediately.

Rebalance-ready delivery

Files or API on your schedule — daily, weekly, or aligned to your process — with stable schemas.

Methodology documentation

Collection method, coverage and known limitations in writing — for your compliance review, not just your quants.

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.

Point-in-time discount-depth panel — ticker-mapped, backtest-safe.
observation_date ticker brand avg_discount_pct stockout_rate assortment_ct
2026-07-01 EXMPL ExampleMart 18.4 6.1 12840
2026-06-24 EXMPL ExampleMart 15.2 4.8 12790
2026-06-17 EXMPL ExampleMart 12.9 5.0 12744
2026-07-01 RIVL RivalCo 9.7 3.2 9210
↑ Sample structure — illustrative values. Your data reflects your platforms and category. Get this for your data →
DELIVERY SPECS

The details procurement asks for.

INTEGRITY Point-in-time, as-observed timestamps, no restatement policy in writing
MAPPING Brand→ticker mapping maintained; corporate-action aware
HISTORY Forward collection from engagement start; selective backfills where archives permit, flagged as such
DELIVERY CSV/Parquet drops or API · daily to monthly cadence
TIMELINE Pilot panel on 2–3 names in ~2 weeks · full universe in 3–5 weeks
PRICING By universe size × signal families × cadence; pilot pricing available
COMPLIANCE Public web data only · PII-free by construction · MNPI-free methodology · NDA-first

Every engagement is NDA-first and starts with a free sample — judge the data before any commitment.

THE HONEST COMPARISON

Why a data layer, not a DIY script or a rigid tool

In-house DIY Generic SaaS tool iWeb Data Scraping
Setup & maintenance You build scrapers, fight anti-bot, fix breakages weekly Rigid templates, breaks on site changes, slow support Fully managed — we build, monitor and fix, you never touch a proxy
Data quality Best-effort, no QA layer, silent failures Generic parsers, frequent gaps 99%+ field accuracy, QA-verified, monitored 24/7
Coverage Limited to what you can maintain Only supported sites Any public site or app, at scale
Compliance Your legal risk to manage alone Often opaque about methods ISO-certified, PII-scrubbed, NDA-first, documented
Time to value Weeks to months of engineering Fast but inflexible Free sample in 48h, production in days
WHO USES THIS

Built for the person
who owns the number.

CONSUMER L/S FUND

Margin pressure, observed early

Discount depth and promo cadence on covered names — the six-week signal lead engagement.

EQUITY RESEARCH

Channel checks, systematized

Replace anecdotal store visits with measured availability and assortment across every banner, weekly.

PE / VC DILIGENCE

Targets, measured from outside

Pricing power, catalog breadth and review trajectory on private targets — evidence before the data room opens.

RELATED:Enterprise Crawling →Managed Web Scraping →Alt-data explainer →
FAQ

Before the first call.

Point-in-time discipline: each record is stamped with its observation time and never restated, so the historical file reflects exactly what was knowable on each date. Backfilled or 'cleaned' history creates lookahead bias — the reason we document a no-restatement policy rather than just claiming timestamps.

The data is public by construction — visible to any website visitor — so it contains no MNPI, and our panels are PII-free by design. We provide written methodology for your compliance review, and engagements run under NDA with clear representations about collection methods.

Systematic collection starts at engagement; that forward history is the gold standard. Where public archives permit, selective backfills are possible and are explicitly flagged as reconstructed so your backtests can include or exclude them deliberately.

Yes — the same signals (pricing, assortment, reviews, expansion) are observable for private consumer businesses, which makes these panels a standard tool in PE/VC diligence alongside listed-name coverage.

Get a free sample dataset in 48 hours.