The internet.
In your format.

Ready-made scrapers and custom datasets for products, market research and AI—from pre-training to fine-tuning.

Find your scraper Let’s build it together

364published actors

Onepartner for custom data

From scattered pages
to data you can use.

Two ways to get started

Use a scraper that’s ready to run, or build around the source you need.

HOW IT WORKS

From source
to signal.

A clear path from the website you care about to the fields your application can actually use.

01

Choose the source

Start with a published actor or tell us which public pages matter.

02

Shape the output

Define the fields, format and update rhythm that fit your workflow.

03

Put data to work

Use structured results in research, products, dashboards or AI systems.

Your next dataset starts here

There’s an actor
for that.

Discover scrapers for the sources you work with.

Explore all actors
DATA FOR YOUR AI WORKFLOW

Data for every
stage of AI.

Pre-training, fine-tuning and retrieval need different datasets. Start with the task, then define the source coverage and quality checks that make the data useful.

01 / PRE-TRAINING CORPORA

AI pre-training datasets

Collect web text for LLM pre-training and continued pre-training. Define the source mix, languages, text quality filters and deduplication before scaling your corpus.

Plan document-level provenance, retained token volume and versioned delivery for a broad or domain-specific corpus.

Explore AI pre-training datasets ↗
02 / TASK-SPECIFIC EXAMPLES

Fine-tuning datasets

Plan instruction-response pairs, classification labels or structured extraction examples for an existing model. Agree on target outputs, review criteria and your required JSONL schema.

Keep evaluation examples separate so you can measure whether the model learns the behavior you need.

Plan a fine-tuning dataset ↗
03 / CURRENT KNOWLEDGE

RAG & agent data

Supply retrieval-augmented generation and agents with source-linked content. Preserve useful fields, publication dates and collection times, then plan how updates reach your application.

Choose this path when answers depend on current information and traceable sources.

Explore retrieval & agent data ↗

Have a dataset brief? Send representative URLs, the task your model should perform, required fields and a sample output. We’ll assess the collection scope and discuss any preparation or review steps.

Marketing & market research

Understand
your market.

Start with the decision you need to make. Collect the evidence that helps your team make it.

Explore marketing data
How are competitors changing their offers?
Compare product attributes, advertised prices, promotions and availability across consistent snapshots. Keep variants, currencies and collection dates together.Find ecommerce sources
What do customers keep asking for?
Collect supported review text, ratings and dates to research recurring needs and complaints. Keep the original context for your team’s topic and sentiment analysis.Plan customer review research
Which topics deserve your attention?
Follow defined queries, articles and public posts to inform content planning. Compare the same sources, markets and time windows.Find search research tools
LET'S BUILD

Tell us what data
you wish you had.

Send the source, fields and expected volume. We'll take it from there.

Start a conversation ↗Telegram @abotapi ↗