# Market Research Data, Built on Demand by AI

> A market research data provider that starts from a prompt: Quantic AI collects pricing, catalog and review data from the live web into one dataset. $1 free.

[Home](https://quanticdata.io/)/[AI Web Scraping Service](https://quanticdata.io/ai-web-scraping-service/)/*Market Research Data*

# 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.

[Get my free API key](https://quanticdata.io/signup/) [Meet Quantic AI](https://quanticdata.io/ai-web-scraping-service/)

$1 free every month · No card required · Every row carries its source URL

market scan · example run

```
# "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
```

brandplan£ / week

brand-a.co.uk2 meals × 2£34

brand-b.co.uk3 meals × 2£41

brand-c.co.uk4 meals × 4£62

**Minutes, not weeks**the desk-research layer, automated

**Source per row**URL + timestamp on every data point

**Any market**search-driven discovery, per-country exits

**Pay per success**failed pages are never billed

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](https://quanticdata.io/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](https://quanticdata.io/web-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.

Appendix-ready queries → sources → pages → fields: the whole method is reproducible

## 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](https://quanticdata.io/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](https://quanticdata.io/web-data-api-for-ai/) — start no-code, drop to code when the study becomes a product.

No sprint required *no selectors* *no proxies to rent* *no retry logic* *no maintenance*

## 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.

[Get my free API key](https://quanticdata.io/signup/)

## FAQ

The short answers on pricing, formats and setup.

[Something else? Ask us →](mailto:hello@quanticdata.io)

### 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.

[Get my free API key](https://quanticdata.io/signup/)

Keep exploring: [AI Web Scraping Service](https://quanticdata.io/ai-web-scraping-service/) [Price Monitoring](https://quanticdata.io/competitor-price-monitoring/) [Company Data](https://quanticdata.io/scrape-company-data/) [SERP API](https://quanticdata.io/serp-api/) [Web Data for AI](https://quanticdata.io/web-data-api-for-ai/)

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Source: https://quanticdata.io/market-research-data/ · Site index for AI: https://quanticdata.io/llms.txt