# Apify blog outlines six methods for collecting AI training data

> Apify published a blog post covering six approaches to gathering data for AI model training, along with the trade-offs of each.

- Canonical: https://extractfeed.io/story/apify-blog-outlines-six-methods-for-collecting-ai-training-d-b530e88/
- JSON: https://extractfeed.io/api/v1/stories/apify-blog-outlines-six-methods-for-collecting-ai-training-d-b530e88.json
- Beat: Extraction & Parsing · Evidence: Primary source · Type/significance: analysis/2 · First seen: 2026-10-07T00:57:34.767231+00:00 · Updated: 2026-10-07T00:57:34.767231+00:00 · Edition: 2026-11-05
- Framing: model-written (headline, standfirst, why it matters, tags); source facts deterministic

## Briefing
- Apify: Apify published a blog post covering six approaches to gathering data for AI model training, along with the trade-offs of each.

## Why it matters
As demand for high-quality training data grows, practitioners need clear guidance on collection methods and their pitfalls. This post from a major web scraping platform signals the increasing convergence of data extraction and AI training pipelines, highlighting both opportunities and challenges in sourcing data at scale.

## Sources
- Primary source · Apify · 2026-10-06 — [Getting data for training AI](https://blog.apify.com/ai-training-data/)

## Watch next
Which of these six methods will see the most adoption as AI training data requirements evolve?

Topics: Apify, ai-training-data, data-collection, web-scraping, training-data

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