Market research data — collected on demand, not resold
A market research data provider sells you what it already collected. Quantic AI collects what you actually asked: it searches a market across three engines, maps the players' sites and scrapes pricing, catalogs and reviews into one dataset — sized to your question and billed per successful page.
$1 free every month · No card required · Every row carries its source URL
# "meal-kit brands in the UK — plans, weekly price, reviews" search("meal kit delivery uk", 3 engines) → 12 brands after dedupe · $0.0015 map(brand sites) · find /pricing, /menu → 12 sites mapped · $0.006 scrape(pricing pages, extract: plan, price) → 34 rows · source URL + timestamp each
How it works
A market question in, a table out
1 · Frame the market
"Boutique gyms in Milan with membership prices", "meal-kit brands in the UK", "no-code database tools and their entry plans". Quantic AI turns the framing into real queries across Google, Bing and DuckDuckGo via the SERP API.
2 · Identify the players
Organic results from three engines are merged and deduplicated into a defensible competitor set — including News and Maps verticals where the market is local or fast-moving.
3 · Read every player
Each site is mapped — pricing, product and about pages surface in one call — and the relevant pages are scraped with your schema through the scraping API: plans, prices, features, review scores.
4 · Analyze, cite, repeat
The dataset lands as CSV or JSON with source URL and timestamp per row — citable in a deck without a screenshot folder. Rerun monthly and the snapshot becomes a trend line.
Market research data collection, method included
Analysts get asked two questions about any number: where is it from and when. Here both answers ship inside the dataset — every row carries the page it came from and the moment it was read, and page metadata keeps the source's own publish date where it declares one.
That's a collection method you can put in an appendix: queries used, sources found, pages read, fields extracted. No black-box "proprietary panel" — a pipeline someone else can rerun and get the same market.
Web scraping for market research — minus the scraping
Every guide on web scraping for market research ends the same way: pick a framework, maintain selectors, rotate proxies, handle blocks. That's a data-engineering project bolted onto a research question. The AI web scraping service swallows that whole layer — discovery, collection and structure are the product, not your sprint.
If your team does want the controls, the same pipeline is callable as REST APIs and MCP tools — start no-code, drop to code when the study becomes a product.
On-demand collection vs a typical data provider
| Quantic AI dataset | Typical research provider | |
|---|---|---|
| Scope | your market question, exactly | their report catalog |
| Freshness | collected when you ask | collected for the last edition |
| Format | raw rows, CSV/JSON | PDF narrative, charts |
| Provenance | source URL per row | methodology page, aggregated |
| Price | cents per run, pay per success | per-report or annual license |
What does a market scan cost?
With Quantic AI (planned): a 300-row market dataset — brands, plans, prices — is 300 × $0.03 ≈ $9 plus metered pipeline; premium fields bill only when found. On the raw APIs the same scan meters at about $0.10 — if the pipeline is your code.
What is market research data?
It's the factual layer under market decisions: who the players are, what they sell, at what prices, how customers review them, and how all of that moves over time. It can be bought as pre-packaged reports or collected fresh from the public web — which is what this pipeline does.
What is a market research data provider?
A company that collects, organizes and sells market information — from survey panels to web-collected pricing and catalog data. Traditional providers sell what they already gathered; Quantic AI inverts that and gathers what you ask for, when you ask, from live public pages.
What methods does this replace?
The desk-research part: assembling competitor lists, visiting each site, copying prices, features and reviews into a sheet. Surveys, interviews and panels remain human work — but the observable web layer of a market study becomes a prompt instead of a week.
Is web scraping legal for market research?
Collecting public web data for analysis is generally lawful in most jurisdictions, and aggregated market statistics are a well-established use. Copyright, site terms and privacy law still apply to specific sources and personal data — get advice for your market and use case.
How fresh is the data?
Collected at request time — every row carries its source URL and collection timestamp, and page metadata includes publish dates where sources declare them. Rerun the same prompt next month and you have a time series instead of a snapshot.
What does a market dataset cost?
With Quantic AI, planned pricing: $0.03 per delivered row — a 300-row market dataset lands around $9 plus metered pipeline usage, with premium fields billed only when found. Prefer code? The raw APIs meter the same scan at roughly $0.10 in unit prices.
Size the market before lunch
Start with $1 free every month — or join the Quantic AI waitlist for the full prompt-to-dataset service.
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