Prompt

I'm building an AI app and need a source of fresh public web data

Technology / Data infrastructure1 observationLast seen Sep 24, 2026

Latest observation

Sep 24, 2026OpenAI APIWeb search: off

A solid option is Common Crawl: it’s a large, regularly updated public web crawl that’s widely used for AI/data projects.

If you need something more “fresh” or application-friendly, consider these:

  • RSS/Atom feeds from news sites, blogs, forums
  • Public APIs from platforms like Reddit, YouTube, GitHub, Wikipedia, OpenAlex, arXiv
  • Government open data portals for timely public datasets
  • Search engine result APIs from providers that allow web discovery without scraping
  • Your own web crawler focused on sites that permit crawling via robots.txt and terms

A few practical notes:

  • Make sure the data source’s license/terms allow your intended use.
  • For “fresh” data, look for incremental updates, feeds, or APIs rather than bulk archives.
  • If you’re training models, you may want deduplication, language filtering, and safety filters built in.

If you want, I can suggest the best source based on your use case:

  1. news/current events
  2. product/content monitoring
  3. general web text for model training
  4. search/discovery
  5. structured datasets

Observation history

How did Obsurfable measure this prompt?

Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as Circuit. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

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