Alternative services overviews, pricing comparison included

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Getrealprice Vs The Market

if you're choosing a price monitoring or web parsing service, you deserve clarity — not marketing noise. Below you’ll find detailed, side-by-side comparisons between Getrealprice and other popular tools in the market.
We highlight strengths, weaknesses, limitations, and real differences — including where competitors may be a better fit for you. No vague promises. Just structured comparison so you can decide based on facts. Click to read:
 

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Getrealprice or .. what? 

When someone asks "why you are better than the competitors?", there's no short anwser since many factors involved. Instead of asking 'why you are better?' it's proper to ask 'where you are better'. Here is an example research of how technically such comparisons might look like on enterprise level

Subject of difference

Getrealprice

Random Competitor (“S*ifi*”)

Parsers

Downloads data from all available sources for the Client, including MobileApps, defended anti-crawling webshops, B2B2C-pricing aggregators, etc.

Shopify-oriented, no resources to write and support many parsers what are needed by Client. Problem: door-to-door competitors can’t be taken into considetation.

Matching

Professional matching for International players (**I, Ne*tl*, Ca*tor*ma, De*at*o*, etc) including indirect matching, including matching with multiplicators

Matching is not done or done manually or done only via EAN/GTIN basis. Problem: won't match if no EAN from both sides.

Pricing

Focused in delivering prices of competitors for each client’s SKU (inlcuding Private Label brands)

Focused on AI pricing (potentially depending on demand)

Data integrations

API or XLSX/CSV or custom

Pre-defined software for integration

Daily communication

Daily support of the Clients, can operate with more than 1 contact person. For example, 45 Contact persons (CP) in De*athl*n. Currently GRP support Team works 24/7 covering most world's time zones

No info, potentially similar

Knowledge base

12 years, 21 countries, >1000 cases, 850 acting cases, 50+ available-to-share cases

Fresh company, no info about company start data

General comment

Focused on managing data of competitor prices and pricing model that depend on competitor qty, not traffic

Focused on pricing depending on demand

AI usage

Uses AI (CV) in matching. Uses Linear Algebra and Monte-Carlo simulation methods in Pricing (similar to Wallmart). Uses AI to prepare Day-Overview

Claims that uses AI in pricing (GRP thinks this can bring unpredictable results, so usually we use mathematically trained models, but it is not “AI”)

Pricing logic

Dependent on competitor webshop amount, less dependent on SKU qty

Pricing packages with pre-defined sets

Reporting

Presets + Custom reports. Custom reports are to be developed and enrolled in 5 days. 

No custom reports, default in focus 

Daily operations

Email, Teams, Messengers. For intensive communication GRP provides self-hosted GitLab. Huge team of supporting IT specialists that recovers any parser during the daytime under the hood.

No Gitlab / not applicable due to different model of cooperation (details are unknown)

Not sure but ready to explore more? 

Check Linked-in cases

Book a meeting 

Don't want to meet but need cost estimation?

https://www.linkedin.com/company/getrealprice/

https://calendly.com/grp-gm/

Send a request to mail-at-lv.getrealprice.com 
(replace -at- with @)

What about prices comparison between different scraping companies for regular price monitoring for my configuration? 

The price/budget schema is not transparent here because each company want's to make more margin for specific configuration and this is normal. As well as each company has ongoing clients who can dislike lower prices declared in public. 

Meanwhile, the biggest share of budget in price monitoring configurations usually allocated into crawling data inself. Here's how cost share of full annual budget looks like in terms of subservices in most cases: 

The secret of cost savings with Getrealprice is that company offers non-traffic-dependent costs. For example, imagine you have the following price monitoring configuration: 

Volume of SKU to match with compentitors: 30000 SKU
EAN matching: not possible
Competitor's count: (imaginary) 12 competitors 
Competitor's list: look at the table: 
Webshop (imaginary)
Biltema.se 
Clasohlson.se 
Bauhaus.se 
Jemofix.se 
Motonet.se 
Rusta.se 
Verktygsboden.se 
Granngarden.se 
elgiganten.se 
Lager157.se 
Thansen.se 
Byggmax.se 


Let's focus on this major part of annual budget: price crawling itself.

With Getrealprice, the price of crawling depends only on crawling efforts classification. We don't ask you for what amount of traffic you will need to prepay. 

Average Getrealprice fees for monthly regular and stable price monitoring by crawling efforts (February 2026):
 

Сrawling efforts price, $
 easy 50
 med 50
 hard 200
 nightname 500


So the monthly budget of price monitoring for this (imaginary) 12 competitors would turn into 1100$ monthly flat/recurrent fee:

Webshop Crawling efforts Costs based on overall crawling efforts, $
Biltema.se   med 100
Clasohlson.se   easy 50
Bauhaus.se   med 100
Jemofix.se   easy   100
Motonet.se   med 100
Rusta.se   easy 50
Verktygsboden.se   easy 50
Granngarden.se   easy 50
elgiganten.se   med 100
Lager157.se   med 100
Thansen.se   hard   200
Byggmax.se   med 100
Total/monthly:   1100


Another companies will often offer you traffic-counted-prices. It means that the more traffic you need to scrape the webshop, the more cost would be. You newer know that amount of traffic you'd need to scrape a webshop. Imagine we know what traffic volume will be needed and can calculate overall traffic volume in Gb and multiply with price-per-Gb
 

Webshop Getrealprice cost (not traffic dependent) Traffic needed for scraping, Gb

Traffic cost at Octoparse, per Gb, $

Full cost at Octoparse, $

Biltema.se  100 200 3 600
Clasohlson.se  50 10 3 30
Bauhaus.se  100 90 3 270
Jemofix.se  100 30 3 90
Motonet.se  100 52 3 156
Rusta.se  50 1 3 3
Verktygsboden.se  50 2 3 6
Granngarden.se  50 5 3 15
elgiganten.se  100 10 3 30
Lager157.se  100 19 3 57
Thansen.se  200 350 3 1050
Byggmax.se  100 35 3 105
Total/monthly: 1100 654   2412

 




 

 

 

 

 

 

 

 

 

So it turns 1100$ at Getrealprice vs 2412$ at Octoparse.
It's at least (2412-1100)*12 = $15744 savings per year. Savings or re-investments into more precise product matching with Getrealprice.

* Who classifies webshops as easy/med/hard/nightname

Getrealprice will do this for you. The estimation is made by analyzing at least this parameters: 

Easy: Simple to crawl webshop, no high level anticrawling defences, total range is <20.000 SKU +-20%
Medium: Average/temperate crawling accessibility. Crawling farms (visual rendering) are used to get the price data. Total range of the platform is <250.000 SKU +-20%
Hard: Mobile apps or complicated or large/huge webshops or marketplaces or highly defended platforms that need deep human emulation methods. Or the product range is 250.000+ SKU +-20%
Nightmare: all together (Medium+Hard) and some extra efforts from anti-crawling defences.

If you already have a list of competitor's, send them for quick cost estimation now (email is: mail-at-lv.getrealprice.com)

* What is included into monthly fee for 1 webshop: 

Deep parsing: Every 2 weeks download ALL product range for detecting new arrivals (for further matching)

Article parsing: Every 1 day update prices for matched products. Can be every N day of the week or X times per week or sometimes X times per day.
 

* Tell me another Definitions to speak the same language

Term

Definition

Parser / Robot

A custom-made automated software tool that collects publicly available data from webshops or apps. Each parser is configured for a specific competitor platform.

Plug-in (Set-up Fee)

A one-time payment required to build a parser for a competitor’s website or application to enable data collection. Costs depend on platform complexity.

Platform Segmentation (Easy / Medium / Hard)

Classification of competitor platforms based on technical difficulty for data extraction.

Easy: Simple to crawl webshop, no high level anticrawling defences, total range is <20.000 SKU

Medium: Average/temperate crawling accessibility. Crawling farms (visual rendering) are used to get the price data. Total range of the platform is <250.000 SKU

Hard: Mobile apps or complicated or large/huge webshops or marketplaces or highly defended platforms that need deep human emulation methods. Or the product range is 250.000+ SKU

Master Source (MS)

The Customer’s web store or web source. A parser or data feed is created to access and match product data from the Customer’s own catalog.

Product Matching

The process of identifying and linking the same or similar products between Customer’s and competitor websites. 

Matching Types

 

DUP (Duplicate)

Identifies exact matches of the same product (e.g., same SKU, brand, size) sold by competitors.

ANA (Analog)

Identifies similar but not identical products (e.g., same brand and type, but different packaging or volume).

SKU (Stock Keeping Unit)

A unique product identifier used to track and manage inventory.

Price Cluster

A location-specific pricing area. Competitor platforms with multiple physical store locations (or delivery areas) may have different price clusters.

Dashboard

The online interface provided by Getrealprice, available 24/7, showing historical data, product matches, price trends, and visual analytics.

Price Deviation

The difference between the current competitor price and the recommended selling price (RSP) set by Customer.

Alerts / Notifications

Automated messages triggered when price deviations exceed defined thresholds, allowing timely reaction.

Catalog Scraping

Full data extraction from competitor platforms performed monthly to capture their full product range, especially new arrivals.

Price Update

Daily or periodic extraction of current prices for already matched products from competitor sites.

Found Duplicates Report

A monthly report listing newly matched products found between Customer and competitors.

Reporting Templates

Predefined XLSX or HTML files summarizing price changes, deviations, and other analytics to aid in decision-making.

Still not sure / what's next? 

Check Linked-in cases

Book a meeting 

Don't want to meet but need cost estimation?

https://www.linkedin.com/company/getrealprice/

https://calendly.com/grp-gm/

Send a request to mail-at-lv.getrealprice.com 
(replace -at- with @)