Pricing
Monitor, compare and reprice every device you buy and sell.
For refurbishers, retailers, trade-in operators, ITAD firms and resellers — ResellWell for resale prices, BuybackWell for trade-in prices, or both on the same plans.
Growth
See the market: your competitors' prices in one dashboard.
€499/month
Up to 1 market (1 product category in 1 country) — daily resale and trade-in prices included
- Up to 3 competitor websites
- Your SKU IDs pre-mapped to the market, up to 300 SKUs incl. grading
- Daily price updates
- Dashboard
- Reports & downloads
- World class customer support
Most popular
Pro
Act on it: plug market prices into your pricing via API.
Custom
Everything in Growth, plus:
- Up to 3 markets, any mix of categories and countries
- Custom number of competitor websites
- Your SKU IDs pre-mapped to the market, up to 2,000 SKUs incl. grading
- Prices via API
- Works with your AI agent: Claude, ChatGPT and any agent that can call a REST API
- Personalised pricing strategies
- Pricing expert advice every 2 months
Max
Scale it: for rich catalogues across many markets.
Custom
Everything in Pro, plus:
- Custom number of markets
- Custom number of your SKUs pre-mapped to the market
- Monthly pricing expert advice
- Add-on: Marketplace Buybox monitoring (Back Market, Refurbed, Amazon, eBay) multiple times per day, e.g. every hour
The product categories we cover are:
- Smartphone
- Smartwatch
- Tablet
- PC
- Game console
We cover more than 13 countries, including:
- United States
- United Kingdom
- Netherlands
- Germany
- Austria
- Switzerland
- Italy
- Portugal
- Greece
- France
- Spain
- Romania
- Denmark
- and more
Why not just build it with Claude or ChatGPT?
A general AI assistant can write a scraper, but it won't keep it running, clean the data, or keep up with how recommerce listings change. RecommerceIQ does the whole job, for many clients at once. See how our competitor price monitoring works.
| Capability | RecommerceIQ | Build it with Claude / ChatGPT | Manual checks & spreadsheets |
|---|---|---|---|
| Daily prices from 30+ recommerce platforms in 13+ markets | — | — | |
| Accuracy compounds as more clients rely on the same data | — | — | |
| Cost shared across many clients | — | — | |
| Recommerce-validated repricing strategies | — | — | |
| Grade label changes on source websites tracked | — | — | |
| New models and variants added as they launch | — | — | |
| Scrapers repaired when source websites change | — | — | |
| Data pipeline monitoring and alerts included | — | — | |
| Keeps up with new listing standards, e.g. CE marking and margin-scheme VAT | — | — | |
| Like-for-like matching by model, storage and grade | — | ||
| Noise filtered out: source price errors, outliers, ghost listings | — | ||
| No hand-typed prices or copy-paste errors | — | ||
| Works with your AI agent (Claude, ChatGPT and others) via REST API | — |
Comparison reflects a typical in-house setup at the time of writing. RecommerceIQ works alongside Claude and ChatGPT: connect your agent through our API.
The total cost of ownership of doing it yourself
Writing the first scraper is the cheap part. Keeping a clean, complete and current price dataset is the ongoing cost.
Building the scrapers
One per source website and market, each with its own page structure, anti-bot measures and listing formats.
Repairing them when they break
Source websites change layouts without notice. Every change is a silent gap in your data until someone notices and fixes it.
Keeping noise out of the signal
Mistyped prices on source websites, outliers, out-of-stock ghost listings, and errors from prices entered by hand all distort the benchmark.
Matching models and grades
New models and storage variants launch every year, and platforms rename or redefine their condition grades. The mapping has to keep up.
Monitoring the monitoring
Alerts, checks and dashboards on top of the pipeline, so you know when the data is wrong before your prices are.
Keeping up with recommerce standards
Listings keep evolving, with requirements such as CE marking and margin-scheme VAT. A future-proof dataset has to follow every change.
Why we can do it for less
We run the same infrastructure for many clients, so the cost of building, repairing and monitoring it is shared. That gives us a lower cost base than any single in-house team and lets us price competitively. And because many clients rely on the same data every day, errors are spotted and fixed faster: its quality and accuracy compound over time.