# Competitor Price Monitoring Dataset, $1 Free

> Track competitor prices without a dashboard subscription: search finds the sellers, extraction reads price and stock per page, on your schedule. $1 free.

[Home](https://quanticdata.io/)/[AI Web Scraping Service](https://quanticdata.io/ai-web-scraping-service/)/*Competitor Price Monitoring*

# Competitor price monitoring, delivered as a dataset

Competitor price monitoring means tracking what rivals charge for the products you sell. Quantic AI does it without dashboards or scrapers: it searches the shops that carry a product across three engines, scrapes price and stock from each, and hands back a dataset you can diff, join or schedule.

[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 · Blocked pages are never billed

price pipeline · example run

```
# "who sells the AX-7 earbuds in the EU, at what price?"
search("AX-7 earbuds price", shopping, country: de)
→ 14 sellers found · $0.0005
scrape(sellers[0].link, extract: price, stock)
→ { "price": "€129", "stock": "in stock" } · $0.0002
batch(all 14 product URLs, daily)
→ job queued · $0.0028 · webhook on change
```

sellerpricestock

audio-hub.de€129in stock

soundline.fr€135in stock

beatstore.nl€1242 left

**Search-driven**finds the sellers, not just the prices

**Geo-true prices**residential exits in the shopper's country

**$0.0002 / page**no platform fee, no subscription

**Schedulable**batch jobs, webhooks, incremental polling

How it works

## From "who sells this?" to a price table

### 1 · Discover the sellers

Queries like "AX-7 earbuds price" run across Google, Bing, DuckDuckGo and the Google Shopping vertical of the [SERP API](https://quanticdata.io/serp-api/). That surfaces the long tail — the discounter in the Netherlands your dashboard tool doesn't have a template for.

### 2 · Scrape price and stock

Each product page goes through the [scraping API](https://quanticdata.io/web-scraping-api/) with structured extraction: price, currency, stock, shipping. JS-heavy shops escalate to a rendering browser automatically.

### 3 · See the market's real price

Rows are normalized and deduplicated into one table per product — seller, price, stock, timestamp, source URL. Diff two runs and you have price-change alerts without a platform.

### 4 · Put it on a schedule

The discovered URL set becomes a batch job — up to 1,000 URLs per run, webhooks or cursor polling, unused items auto-refunded. Daily monitoring is just the same call in cron.

## Ecommerce product data, not just the number

A price without context misleads: €124 with €12 shipping and no stock is not cheaper than €129 delivered tomorrow. The extraction schema captures the whole offer — **title, price, currency, stock, shipping, rating, review count, seller** — so your comparison joins on facts, not fragments.

Catalog work rides the same pipeline: map a competitor's shop, scrape the category pages, and their assortment becomes rows you can measure against your own.

The whole offer *price* *currency* *stock* *shipping* *rating* *seller*

## Scrape product prices in the shopper's country

Shops price by geography — the same product can differ by double digits between Berlin and Paris, and many stores show different prices to foreign IPs. Every call here takes a **country parameter** and exits through QuanticData's own residential network in that market, so the dataset records what a local shopper actually sees.

One prompt, one column per market: run the same product list with country set to de, fr and nl, and the price gaps are in the table — not in a footnote about VPN caveats.

Per-request geo country: de · fr · nl — real residential exits, real local prices

## Dataset on demand vs a typical price-monitoring platform

|  | Quantic AI dataset | Typical monitoring platform |
| --- | --- | --- |
| Getting started | type the product, run | onboard, configure per-site templates |
| Seller coverage | search-driven — any shop findable | their connector catalog |
| Pricing | $0.0002 per page, pay per success | monthly plans per SKU tier |
| Output | CSV/JSON you own | dashboard, export limits |
| Geo pricing | residential exit per country | often datacenter, geo-blind |

### 500 products, checked daily

With Quantic AI (planned): first build at $0.03 per record, then daily refreshes of known URLs at **$0.01 per record ≈ $5 a day** — contract-free monitoring. Driving the raw APIs yourself: about $0.10 a day, extraction and diffing as 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)

### How to monitor competitor prices?

Three steps: find who actually sells your products, read the price and stock from each product page, and repeat on a schedule so you have a history rather than a snapshot. Most tools skip step one and make you paste URLs. Here a search pass discovers the sellers, extraction reads price, stock and seller per page, and a scheduled batch re-runs the same list as often as you need.

### What is a competitor pricing analysis?

It's comparing your prices against the same or equivalent products sold by competitors, over time, to see where you are cheap, expensive or invisible. The analysis is only as good as the underlying rows: you need the seller, the exact product match, the price, whether it was in stock, and when it was observed. Those five fields are what this dataset returns.

### What is an example of competitor pricing?

A retailer selling a coffee grinder at $199 checks the eight other shops carrying it, finds the median at $179 with two sellers out of stock, and drops to $184 — still above the cheapest, but visible in comparison results. The inputs are one row per seller per day: product, seller, price, stock, timestamp.

### What is price scraping?

Price scraping is the automated collection of prices published on public shop pages, converted into structured rows — product, seller, price, stock, timestamp. It's how retailers, brands and analysts see a market's real prices instead of the ones in last quarter's report.

### Is scraping competitor prices legal?

Prices shown publicly to any visitor are generally lawful to collect in most jurisdictions — they're facts, not creative works. Site terms and local law still vary, and how you use the data (e.g. price-fixing) has its own rules, so check with counsel for your market.

### Which shops can it track?

Any shop with public product pages. Discovery is search-driven — Quantic AI queries three engines plus Google Shopping to find who actually sells a product, so long-tail shops appear alongside the big marketplaces. Hard targets escalate to a rendering browser automatically; a page that still blocks costs nothing.

### How often can prices update?

As often as you rerun it. The one-off pipeline becomes a schedule through batch jobs — up to 1,000 URLs per job with webhooks or incremental polling — so daily or hourly refreshes of a fixed URL set are just repeat calls at $0.0002 per page.

### What fields can I get per product?

Whatever the page shows: title, price, currency, stock status, shipping cost, rating, review count, seller name, product URL and collection timestamp. You name the columns; structured extraction returns exactly those fields, validated and typed.

### What's the difference between price monitoring and price tracking?

In practice they're the same activity at different frequencies: tracking usually means following a defined product list over time, monitoring includes discovering who sells and at what price right now. This pipeline does both — discovery by search, then scheduled re-scrapes of the URLs it found.

### How much does price monitoring cost here?

With Quantic AI, planned pricing: $0.03 per record on the first build, then $0.01 per refreshed record — a 500-product daily check runs about $150 a month, contract-free. Developers can meter the same URLs through the raw APIs at $0.0002 per page, about $3 a month, writing their own extraction and diffing.

## Know every price in your market

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/) [Market Research Data](https://quanticdata.io/market-research-data/) [Company Data](https://quanticdata.io/scrape-company-data/) [SERP API](https://quanticdata.io/serp-api/) [Web Scraping API](https://quanticdata.io/web-scraping-api/)

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Source: https://quanticdata.io/competitor-price-monitoring/ · Site index for AI: https://quanticdata.io/llms.txt