Web data infrastructureWeb data · JSON · CSV · API

The internet.
In your format.

Collect web data. Monitor your market. Build better AI datasets.

Find your scraper Let’s build it together
Illustrative workflow: web pages are collected and cleaned into a dataset for AI training and analysis.
Explore what you can build

444 published actors

Two ways to get started

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

Ready to run

Find your scraper

Browse tools for commerce, jobs, property and more. Choose your inputs and collect structured results.

Explore the library
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
BEFORE YOU START

Common questions.

What to expect from a scraper, your dataset and a custom project.

Ask about your project

What is abotapi?

abotapi builds and maintains 444 public web scrapers on the Apify platform and collects custom datasets. The scrapers cover ecommerce, real estate, jobs, lead generation and social media sources and return structured JSON, CSV or Excel. For sources we don’t cover, we build custom scrapers and datasets for products, market research and AI.

What is an Apify actor?

An actor is a program that runs in the Apify cloud. You fill in its input form or call it through the Apify API, it collects the data on Apify’s servers, and the results are stored in a dataset you can download or send to your own tools. You don’t need to run servers or write scraping code.

How much does a scraper cost?

Most abotapi actors charge per result through Apify; the median price is $2.00 per 1,000 results on the Apify Free plan, with lower rates on paid Apify plans. Each actor page shows its current rate. Custom scrapers and datasets are quoted after we check the source and the fields you need.

Can you build a scraper for a website you don’t cover yet?

Yes. Send the source URLs, the fields you need, the expected volume and how often the data should update. We check the source first, then agree on the output format and acceptance criteria before building.

Can I use the data for AI training, fine-tuning or RAG?

Yes. We collect web text for pre-training corpora, build task examples for fine-tuning in your JSONL schema, and supply source-linked, dated content for retrieval and agents. Each project starts with the task, the sources and the quality checks the data must pass.

Which export formats are supported?

Every actor writes to an Apify dataset that exports as JSON, CSV, Excel, XML or HTML, and can be read through the Apify API or sent onward with webhooks and integrations. Custom datasets can also be delivered as JSONL or another file format you agree with us.

ARTICLES

Guides for your next build.

Practical examples for market monitoring and AI datasets.

View all articles
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 ↗