Specialist web data company
DMA Labs delivers one-off datasets and managed data feeds for consulting, analytics, retail, and ecommerce teams.
We collect and normalize the agreed fields, apply quality checks, and deliver the result in an agreed format.
The data is the deliverable.Your team receives structured output with a clear schema and documented limitations.
Requirements can change.We retain source pages and can reprocess them for different fields.
Direct project ownership.One accountable lead stays involved from feasibility through delivery and QA.
Services
We can check feasibility, deliver a one-off dataset, or provide a managed data feed refreshed on an agreed schedule.
Tell us which websites or data sources you want to use and what data you need. We'll review feasibility and the main limitations, then prepare a small sample when practical.
You receive: a proposed scope, output format, timeline, and price.
A one-off dataset for a specific analysis or project. We collect the agreed data, then normalize, deduplicate, and check it before delivery.
You receive: CSV, XLSX, or JSON with a clear schema and documented limitations.
A managed feed for teams that need the same data refreshed on an agreed schedule.
You receive: scheduled updates, validation, monitoring, maintenance, and clear communication when source changes affect delivery.
Typical projects
Selected work
The project descriptions summarize real, anonymized work. The tables are synthetic illustrations: records, values, identifiers, products, dates, and fields are examples, not client data or exact delivered schemas.
Consulting · Retail pricing
A consulting team needed comparable product and pricing data from several ecommerce platforms. We delivered a consistent cross-source dataset covering product identity, pricing, seller information, and category context.
Illustrative example — not client data
| source | product_id | product_name | pack_size | regular_price | promo_price | seller |
|---|---|---|---|---|---|---|
| Retailer A | SKU-10482 | Ground coffee | 500 g | 12.49 | 9.99 | Retailer A |
| Marketplace B | MP-88310 | Ground coffee | 2 × 250 g | 11.95 | — | Seller X |
| Retailer C | RC-42017 | Ground coffee | 500 g | 12.20 | 10.50 | Retailer C |
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Comparable fields across three differently structured sources.
Retail · Store-level assortment
A retail project required store-specific assortment data for multiple locations of the same retailer. Location-level datasets contained tens of thousands of product rows and captured variants, prices, and discounts. Coverage caveats were documented with the final files.
Illustrative example — not client data
| product_id | product_name | variant | store_a_price | store_a_availability | store_b_price | store_b_availability |
|---|---|---|---|---|---|---|
| RT-2041 | Cordless drill | 18V kit | 129.00 | in_stock | 119.00 | limited |
| RT-3187 | Shop vacuum | 12 gal | 89.00 | in_stock | 89.00 | out_of_stock |
| RT-5520 | Circular saw | 7-1/4 in | 149.00 | pickup_only | 139.00 | in_stock |
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The same assortment can differ by location in price and availability.
Retail · Weekly price monitoring
A retail team needed regular and promotional prices tracked for a supplied list of about 4,000 product URLs. Weekly datasets across several competitor websites created a price history over a multi-week monitoring program.
Illustrative example — not client data
| product_id | competitor | snapshot | regular_price | promo_price | price_change_vs_prior | promotion_status |
|---|---|---|---|---|---|---|
| SKU-10482 | Retailer A | Week 1 | 12.49 | 9.99 | — | active |
| SKU-10482 | Retailer A | Week 2 | 12.49 | 10.49 | +0.50 | active |
| SKU-10482 | Retailer A | Week 3 | 12.49 | — | +2.00 | ended |
| SKU-10482 | Retailer B | Week 3 | 11.95 | — | 0.00 | none |
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Weekly snapshots reveal price changes and promotion periods over time.
Domains · Long-running price monitoring
A long-running managed feed collects daily public TLD prices from dozens of registrar websites. The project has operated since 2017, with validation, source-change monitoring, and ongoing maintenance as websites evolve.
Illustrative example — not client data
| registrar | tld | price_type | snapshot | currency | current_price | previous_price | price_change | qa_status |
|---|---|---|---|---|---|---|---|---|
| Registrar A | .com | registration | Day 1 | USD | 12.99 | 12.99 | 0.00 | validated |
| Registrar A | .com | renewal | Day 2 | USD | 15.49 | 14.99 | +0.50 | validated |
| Registrar B | .net | renewal | Day 2 | USD | 13.99 | 13.99 | 0.00 | validated |
| Registrar C | .net | renewal | Day 2 | USD | 24.00 | 14.00 | +10.00 | review |
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Synthetic daily TLD price history with an illustrative review status.
How it works
Each step defines what is available, what will be delivered, and how the result will be checked.
Tell us which websites or data sources are relevant and what data you need.
We review what data is available and identify the main technical or source-related limitations.
We define the first delivery, quality checks, schedule, and price. If requirements change later, we can reprocess stored source pages.
The output follows the agreed format and includes a clear schema and documented limitations.
If the requirement repeats, the initial delivery can become a managed data feed on an agreed schedule.
About DMA Labs
DMA Labs is based in Poland and was founded by Przemysław Jaskółka.
DMA Labs has delivered one-off datasets and managed data feeds, including daily and weekly monitoring programs.
Projects often involve large product assortments, store-level availability, price histories, product matching, and data normalized across multiple sources.
Przemysław remains directly involved in feasibility, scope, delivery, and quality.
Contact
Tell us which websites or data sources are relevant and what data you need. We'll assess feasibility and suggest the next step.
Prefer email?
contact@dmalabs.net