Competitor Price Monitoring for Sellers: What and How to Track

Competitor price monitoring is now a cornerstone of margin management in e-commerce. We explain what's actually worth tracking, which tools work on the Polish market, and when building your own solution pays off instead of buying ready-made SaaS.

What competitor price monitoring is and why to do it

Competitor price monitoring is the systematic collection and analysis of the prices at which other sellers offer the same or similar products — on Allegro, Amazon, in comparison engines (Ceneo, Google Shopping), and in competitors’ own stores. For a seller this isn’t a curiosity but a part of margin management: it lets you react to market moves, avoid giving away sales with too cheap or too expensive an offer, and catch opportunities when a competitor raises a price or runs out of stock.

In practice it comes down to three things: defending your margin (you don’t cut your price without reason), maintaining visibility (on Amazon price affects the Buy Box, on Allegro relevance and conversion), and spotting opportunities (price gaps and rivals’ stockouts). Below we break the topic into parts: what to track, how to match offers to your products, which tools are available in Poland, when to build your own solution and when to buy ready-made — and where the limits of the law run.

What exactly to track — it’s not just the bare price

The most common beginner mistake is comparing the product price alone. The customer looks at the final price with delivery (the so-called “landed” cost), and marketplace algorithms take into account far more signals. That’s why sensible monitoring covers several dimensions at once.

It’s also worth tracking variants separately — the same model in different sizes or colors can have different prices at a competitor, and averaging them clouds the picture. Seasonality and promotional cycles matter too: a competitor who regularly cuts prices around Black Friday or the end of the season calls for a different reaction than one who lowered a price just once. And finally comparison engines: on Ceneo and Google Shopping the customer sees all offers on one screen, so a difference of a few złoty decides the click — this is where monitoring has the greatest direct impact on conversion.

When you have many SKUs, turn individual prices into indicators. The most popular is the price index — your price divided by the average or minimum market price and multiplied by 100: a value of 100 means a price equal to the market, above 100 you’re more expensive, below — cheaper. On top of that comes the share of offers on which you’re the cheapest, and the percentage of products winning the Buy Box. Such metrics let you manage hundreds of products without reviewing each one separately.

How to match competitors’ offers to your products

The heart of any monitoring is matching — linking your product with the corresponding competitor’s offer. The most reliable key is the EAN/GTIN code: if both products have the same code, we’re talking about the same item. When the code is missing (own-brand products, bundles, handmade goods), matching relies on the title, photo and attributes — and that’s where it gets tricky, because “similar” doesn’t mean “identical,” and a wrong match leads to bad pricing decisions.

On Allegro the situation is specific: more and more products have a single product page (by EAN) under which many sellers compete. So you’re monitoring not so much a single offer as the whole list of offers on a given page and your position within it. On Amazon the equivalent is the fight for the Buy Box on a shared product page. Good tools automate matching by EAN and suggest manual matches where there’s no code — and the quality of that matching is one of the main criteria for choosing a tool.

The tool landscape — who’s who on the Polish market

The market splits roughly into two groups: international/enterprise platforms geared toward monitoring across many countries and channels, and “Allegro-centric” tools, strong in price automation on Allegro and Ceneo. Below is a quick overview — we give prices as rough estimates, because most providers quote the service individually; always verify the current pricing at the source.

The “Allegro-centric” tools also include, among others, AleMonitor, Foxyprices and PriceSafari — they focus on tracking and automating prices on Allegro, Ceneo and Google Shopping, often with 24/7 repricing rules (e.g. “go 10 groszy below the cheapest offer with a VAT invoice and SMART shipping”). The “Competition” module in BaseLinker also offers competitor monitoring and repricing on Allegro and eMAG. The choice depends on whether your priority is a single market (Allegro) or multichannel analytics. If you’re just building your tool stack, our overview of marketplace integrators in Poland will help.

What to look at when choosing a tool

• Matching accuracy — automatic matching by EAN plus the option of manual correction.
• Refresh frequency — whether data is updated once a day or several times a day.
• Channel coverage — Allegro, Amazon, Ceneo, Google Shopping, competitors’ stores.
• Repricing and rules — whether the tool only shows prices or can also change them by rules.
• Integrations — connection with your store, ERP or sales management system.
• Alerts and reports — notifications of price changes and data export.
• Pricing model — how the cost grows with the number of products and channels.

DIY or ready-made SaaS — which pays off more

This is the most common dilemma. The “do it yourself” (DIY) approach is tempting for having no subscription, but it has hidden costs. Ready-made SaaS costs money every month, but it takes maintenance and part of the legal risk off your shoulders.

The DIY route: API, spreadsheet and (optionally) your own scraper

The safest variant of a home-grown solution is the official API. Allegro provides a REST API from which you can pull offers and prices in line with the terms of service; Ceneo and Google Shopping feeds work similarly. At small scale (a few dozen to a few hundred SKUs) a spreadsheet and periodic data pulls are enough. The trouble starts with page scraping: your own bot (Python + Scrapy/Playwright) has to be maintained, you need to get around IP blocks and CAPTCHAs, and with every change to a competitor’s page layout the scraper breaks. On top of that come proxies and IP rotation, CAPTCHA handling, and setting a reasonable query frequency so as not to overload someone else’s servers or bring a ban on yourself. So the cost of “free” DIY is above all developer time and constant maintenance.

The SaaS route: ready-made matching, alerts and repricing

A ready-made tool provides built-in matching, dashboards, email alerts and a repricing engine — often based on official API integrations, which is more stable and legally safer than scraping on your own. You pay for it with a subscription (roughly from ~$99/mo in the by-URL model at one provider, up to custom quotes in enterprise solutions). Below is a decision summary.

A simple heuristic: you have few SKUs, one channel and programming capacity on the team — start with an API and a spreadsheet. You have hundreds or thousands of SKUs, several channels and want automatic repricing — SaaS will pay off faster than the cost of maintaining your own bot.

The legality of price monitoring — what’s allowed and what to avoid

Good news: comparing publicly available competitor prices is legal, and a price or product information itself isn’t a work protected by copyright. No regulation directly bans web scraping. That doesn’t mean “anything goes,” though — you have to respect several legal regimes:

• Database protection — mass copying of a substantial part of someone else’s database (e.g. the entire catalog) may infringe the database protection act.
• Terms of service (ToS) — many platforms prohibit scraping in their terms; breaking them is contractual liability and a real risk of account suspension.
• GDPR — if you collect personal data (e.g. the names of sellers who are natural persons), their public availability doesn’t “unlock” them; you need a basis under Art. 6 GDPR. Prices and EAN codes alone are not personal data.
• Unfair competition — bad-faith actions (overloading a server, impersonation) may violate the act on combating unfair competition.

The practical takeaway: use official APIs where they exist (Allegro, Ceneo, Google Shopping) and choose tools that do the same — that’s the cleanest route. A separate matter is the compliance of your reactions to prices: if after monitoring you launch promotions, you’re subject to the Omnibus Directive (in Poland since January 1, 2023), which on markdowns requires showing the lowest price from the 30 days preceding the promotion. This is not legal advice — at larger scale consult scraping and your pricing policy with a lawyer, and verify legal facts at the source.

From monitoring to action — repricing done right

Monitoring without a decision is just a chart. The most common reaction is repricing — automatic price adjustment by rules. Key principles so you don’t fall into a price war:

1. Set a minimum price (floor). The repricer should never drop below the threshold that protects your margin.
2. Calculate margin after costs, not off the price. Include the marketplace commission, delivery cost and VAT in the threshold. On Allegro commissions can shift the math a lot — we break them down in the article on Allegro commissions 2026.
3. Don’t race to the bottom. Sometimes it’s better to win on delivery time, reviews or a bundle than on five groszy. Price is one signal, not the only one.
4. React to availability. When a competitor sells out, the price pressure disappears — that’s a moment for a higher margin, provided your own stock is up to date. That’s why it’s good to pair price monitoring with stock synchronization, so you don’t sell goods you don’t have.

Let’s calculate a threshold with an example (numbers are illustrative, to be replaced with your own): you buy goods for 60 zł, the Allegro commission in a given category is e.g. 12%, you estimate packing and shipping on your side at 14 zł, and you want to keep a minimum of 10 zł margin. The minimum price isn’t 60 zł but cost plus shipping plus margin, increased by the commission charged on the selling price — the real floor comes out noticeably higher than intuition suggests. A repricer that doesn’t account for this can drop below cost and sell at a loss even though it “wins” the price. That’s why it’s worth knowing commissions down to the category before you set the automation’s rules.

Price data is most useful when it sits next to the rest of your operations — orders, stock and Allegro integration. Ultimately it’s convenient to have such signals in one panel alongside sales; this is the direction that integrated systems for sellers are heading, like the Nimo now in the works. Whatever the tool, the golden rule is the same: monitor in order to make decisions, not to refresh a chart every hour.

Frequently asked questions

Is competitor price monitoring legal?

Yes, comparing publicly available prices is legal, and a price itself isn’t a work protected by copyright. The limits concern how the data is obtained: you have to respect sites’ terms of service, the database protection act, and GDPR if you collect personal data. The safest way is to use official APIs.

How much does a price-monitoring tool cost?

It varies a lot. By-URL solutions start at roughly a hundred-something dollars a month (e.g. Prisync plans from ~$99/mo), while enterprise platforms like Dealavo or Competera are priced individually depending on the number of products, markets and features. Prices change — check the current pricing at the provider.

Can you monitor prices for free?

At small scale, yes: manual checking, a spreadsheet and the limits of free official APIs (Allegro, Ceneo) are enough for a few dozen products. A “free” home-grown scraper actually costs time to build and maintain and carries a risk of blocks — at a larger number of SKUs it usually doesn’t pay off.

What’s the difference between monitoring and repricing?

Monitoring is collecting and analyzing competitors’ prices. Repricing is automatically adjusting your prices based on that data according to set rules (e.g. cheapest, but not below the threshold). Monitoring answers the question “what’s happening,” and repricing — “what to do about it.”

How often should you update prices?

It depends on the category. In fast-moving, competitive niches (electronics) refreshing several times a day can make sense, in stable ones — once a day or less often. More important than frequency is the rule: change a price only when it protects margin or visibility, and always within the limits of the minimum price.