01 / CAPABILITY
E-commerce data
Product attributes, pricing and availability organized into consistent records for catalog analysis and comparison.
- Product and variant fields
- Currency and stock normalization
- Source URLs and stable identifiers
WEB DATA & AUTOMATION
Turn the web into
structured data.
Product catalogs, search intelligence and market research—shaped into clear datasets, with a practical pilot before you scale.
A clearer data handoff
EXAMPLE WORKFLOWSource pagesProducts · Search · Markets
Map the fieldsA clear output schema
Make it usableStructured CSV & JSON
| Item | Price | Availability |
|---|---|---|
| Arc Desk Lamp | $42.50 | In stock |
| Linen Storage Basket | $18.00 | In stock |
| Stoneware Mug | $12.75 | Unavailable |
commerce.v1 · 6 fields3 sample rows
Inspect sample JSON
{
"sku": "ST-1001",
"title": "Arc Desk Lamp",
"price": 42.5,
"currency": "USD",
"in_stock": true,
"source": "https://catalog.example/arc-desk-lamp"
}Synthetic example data. This preview is not a live collection.
OCTOBER 2026
From the engineering desk — three field notes, two browser tools and downloadable examples.
Explore the hub ↗WHAT WE HELP YOU BUILD
The right data, shaped around your work.
Start with the dataset you need. We map the sources, fields and delivery requirements around it.
02 / CAPABILITY
Search intelligence
Search result structures that keep the query, locale and result position alongside the destination page.
- Query and locale context
- Organic result positions
- Result titles and destination URLs
03 / CAPABILITY
Market research pipelines
Repeatable collection plans that turn public source information into consistent snapshots for research.
- Source and field mapping
- Refresh and change definitions
- Documented output requirements
OUR PROCESS
Make the pilot measurable.
Agree on a small, testable scope before scaling a collection workflow.
Define the target
Document sources, fields, regions, refresh frequency and how the output will be used.
Test a small batch
Use representative pages and a consistent setup to check collection behavior.
Check the output
Review missing values, duplicates, field types and success criteria before accepting a sample.
Agree the handoff
Confirm file formats, identifiers, delivery cadence and what to do when a source changes.
THE DATA WORKBENCH
Explore a sample. Inspect the details.
Try the JSON / CSV workbench with a sample dataset, or inspect your own records before exporting.
JSON → inspect → export
PROCESSED IN YOUR BROWSERUp to 5,000 records / 1 MB. Example products are synthetic. Nested values remain JSON text in CSV.
—Output records
—Fields
—Empty cells
Inspect data to show the preview.
Empty cells count missing keys, nulls and blank strings. CSV exports neutralize formula prefixes in text fields.
ENGINEERING NOTES
A closer look at the work.
Practical notes on provider evaluation, data quality and useful handoffs.
How to evaluate a proxy provider
A repeatable test plan for latency, success rates and regional coverage.
Read the engineering noteA useful dataset starts with a schema
How to define fields, handle missing values and check duplicate records.
Read the engineering noteDefine the delivery before writing the crawler
A practical checklist for formats, identifiers, refreshes and acceptance checks.
Read the engineering noteInspect the data. Keep the examples.
Synthetic samples with documented fields. No account required.
RESOURCE UPDATES
The October resource update.
A hands-on data workbench
JSON inspection, exact duplicate removal, empty-cell checks and CSV/JSON downloads are now part of the site.
Open the workbench ↗Benchmark analysis & field notes
A CSV analyzer for recorded proxy measurements, three engineering guides, and downloadable example datasets.
Explore the engineering hub ↗START WITH THE REQUIREMENTS
Tell us what useful data looks like.
Share a sample source, the fields you need, your target region and the refresh schedule. We can use that brief to discuss the scope and a suitable evaluation.
contact@scrapetechsolutions.online ↗- Source list and output schema
- Location, frequency and volume
- Pilot acceptance criteria