Training-ready web data, fully managed

Web Data for Data Scientists and ML Teams

Spend your time on modeling, not on wrangling data that should have been clean to begin with.

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750+enterprise clients

Sample viewfeature_schema · v4unchanged

listing_idstring

price_usdfloat

captured_attimestamp

attributes[]custom spec

dedupe_keyvalidated

delivered as

JSONJSONLCSVParquet

no driftRetraining doesn't mean rewriting your preprocessing code.

Trusted by enterprise teams worldwide

For data scientists & ML teams

Where APISCRAPY Fits

We turn public web sources into structured, ready-to-use data delivered straight into your feature store or training pipeline.

The schema stays consistent release over release, so a change on the source website doesn't quietly corrupt your training set.

Define the fields your model needsYOURS

Collection from public sourcesOURS

Schema consistency across refreshesOURS

Dedupe and validationOURS

Feature engineering and trainingYOURS

Pricing

Scoped to Your Fields, Volume, and Refresh Frequency

Pricing is custom because every model needs different fields, volumes, and refresh rates. Share what you're building, and we'll size it on a short scoping call.

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What This Looks Like Day to Day

Consistent schema across refreshes

The same field names and data types in every delivery, so a change on a source site doesn't break your feature pipeline.

Deduplicated, validated output

Duplicates and invalid rows are removed before delivery, so you spend less time catching bad rows before they reach your model.

Custom fields for your use case

Define the exact attributes your model needs.

Delivery into your existing workflow

Delivered as JSON, JSONL, CSV, or Parquet to the warehouse or storage your notebooks and pipelines already read from.

Data Science and ML Teams We Work With

ML teams

ML teams that need production-scale web data without a data engineer dedicated to maintaining it

Data scientists

Data scientists tired of features breaking between training and serving because the underlying data shifted

Teams testing a model idea

Teams validating a model idea that need a real dataset before committing engineering time to build one

For dedicated AI training datasets at scale, see AI Training Data. For general extraction into your existing systems, see AI Data Extraction.

Compliance & ethics

Built on the Same Foundation as Every APISCRAPY Engagement

Data handling under ISO 27001:2022 and ISO 9001 certification, collection limited to publicly available sources and aligned to GDPR, and delivery managed under CMMI Level 3-appraised processes.

Questions From Data Science and ML Teams

What is training-ready web data?

Training-ready web data is data collected from public websites and delivered in a consistent, validated structure that a model can use without extra cleanup. It has fixed field names and types, duplicates removed, and a schema that stays the same between refreshes, so retraining doesn't mean rewriting preprocessing code.

How is this different from your AI Training Data page?

AI Training Data covers building a dedicated dataset for a specific model from scratch. This page is about ongoing web data delivered into a workflow you already have running.

Can you match our existing schema?

Yes. We build the extraction spec around the fields and structure your pipeline already expects.

What happens when a source site changes?

We detect the change and adapt the extractor on our side. Most fixes land before your next delivery. If one needs more time, we tell you before the delivery window.

Is the data collected legally?

We collect only from publicly available sources. We review each source before collection, respect robots.txt directives and site terms, and leave out personal data unless your use case needs it and the legal basis is documented.