Data products · Scrapers · Managed services

Public web data, ready for your next decision.

Explore maintained news, property and vehicle data, run specialised web scrapers, or have The Scrape Lab build and manage a data workflow for your business.

Choose your route

Use existing data, run a scraper, or hand over the workflow.

You do not need to know scraping terminology to choose the right starting point.

Data Product

Access maintained data

Explore existing vehicle, property, and news records with clear timestamps, fields, and limitations.

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Scraper

Run it yourself

Find an Apify Actor, review its inputs and outputs, and operate it on your own Apify account.

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Managed Service

Have it managed

Get help with configuration, collection, validation, scheduling, delivery, and ongoing maintenance.

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Representative output

A small public vehicle-data preview.

This cached snapshot demonstrates the shape of delivered records without running a public database query.

Snapshot generated: 12 September 2026 · Public listing observations

VehicleYearAsking priceMileageLocationSourceObserved
Citroën C3 AIRCROSS2018EUR 7,999136,000 kmCluj-Napoca, RomaniaAutovit12 Sep 2026
Ford Puma2022EUR 10,700126,000 kmConstanța, RomaniaAutovit12 Sep 2026
Hyundai Santa Fe2020EUR 22,500145,000 kmConstanța, RomaniaAutovit12 Sep 2026
How it works

From a data need to a useful delivery.

Choose an existing product or send a public source. The workflow is scoped around the result you need.

1

Define the data

Choose a product or share a public source and desired outcome.

2

Collect and validate

Records are structured and checked against the agreed fields.

3

Deliver

Receive a dataset, scheduled workflow, API, database feed, or agreed output.

Data quality

Useful records keep their context.

The maintained products retain the details needed to interpret an observation.

Source traceability

Source URLs stay with records where available.

Observation time

Timestamps distinguish a listing observation from a transaction.

Schema checks

Fields, duplicates, and unexpected source changes are reviewed as part of managed work.

Clear limitations

Coverage and source-specific gaps are described before delivery.

FAQ

Questions before you start.

No. You can request a dataset or managed workflow. Experienced Apify users can also run the self-service Actors directly.
Yes, where the public source and requested use are suitable. Managed work can include configuration, validation, scheduling, delivery, monitoring, and maintenance.
Yes. Frequency, expected volume, source reliability, delivery, and maintenance are agreed during scoping.
No. Records reflect permitted public information observed on third-party sources. Coverage, availability, and fields can change.
Managed work is quoted according to sources, volume, frequency, complexity, and delivery requirements. Apify platform usage is separate when applicable.

Tell us what data you need.

Send the website or source and explain what you want to achieve. We can help define the fields, frequency, and delivery.

Discuss your project