Prompt

I'm building a price tracking system and need a reliable source of public web data

Technology / Data infrastructure1 observationLast seen Sep 24, 2026

Latest observation

Sep 24, 2026OpenAI APIWeb search: off

For a price tracking system, the most reliable public web data usually comes from sources that are:

  1. Legally accessible
  2. Structured and stable
  3. Frequently updated
  4. Clear about terms of use

Here are the best options, depending on your use case:

1. Public APIs

These are usually the most reliable source of product or market prices.

  • E-commerce APIs: Amazon Product Advertising API, eBay API, Walmart API, Best Buy API
  • Market/financial APIs: Alpha Vantage, Twelve Data, Polygon, IEX Cloud
  • Travel APIs: Skyscanner, Amadeus, Expedia partner APIs
  • Real estate APIs: Zillow alternatives, county/property data portals

Why use them: structured, consistent, less likely to break than scraping.

2. Official websites with public pages

If no API exists, look for sites that publish prices on publicly accessible pages.

  • Product catalog pages
  • Deal pages
  • Store locator pages with pricing
  • Market listings

Note: Make sure the site’s terms allow automated access.

3. Open/public datasets

Useful if you need historical or benchmark pricing.

  • Government price indexes
  • Central bank / statistical agency data
  • Open data portals
  • Kaggle/public datasets for prototyping

Examples:

  • U.S. Bureau of Labor Statistics
  • World Bank open data
  • Eurostat
  • Gov open data portals

4. Search-engine indexed data

For broad discovery, you can use:

  • Google Shopping-style results via approved APIs
  • Merchant feeds
  • Price comparison platforms with partner access

5. Your own collected data

If you need long-term reliability, combining:

  • API feeds
  • Public pages
  • Cached snapshots
  • Change detection

can be more durable than relying on one source.


Recommendation

If you want a reliable public web data source for price tracking, start with:

  • Official APIs first
  • Public product pages second
  • Open datasets for history and validation

If you tell me what kind of prices you want to track:

  • retail products
  • flights/hotels
  • stocks/crypto
  • grocery
  • real estate
  • digital goods

…I can suggest the best public sources and help you design the ingestion pipeline.

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?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.