Prompt

How do I access public records data through an API?

Technology / API Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

Accessing public records data through an API usually looks like this:

1) Find the data source

Public records may be exposed by:

  • Government open data portals
  • Court, property, business, or licensing databases
  • Third-party aggregators that republish public records

Look for:

  • API documentation
  • Terms of use
  • Rate limits
  • Authentication requirements

2) Get an API key if needed

Many APIs require you to:

  • Create an account
  • Request an API key or token
  • Accept usage restrictions

3) Read the endpoint docs

Identify:

  • Base URL
  • Endpoints for the records you need
  • Required query parameters
  • Response format, usually JSON or CSV

Example:

GET https://api.example.gov/records?state=CA&type=property
Authorization: Bearer YOUR_API_KEY

4) Make a request

You can use tools like:

  • curl
  • Python requests
  • JavaScript fetch

Example in Python:

import requests

url = "https://api.example.gov/records"
headers = {
    "Authorization": "Bearer YOUR_API_KEY"
}
params = {
    "state": "CA",
    "type": "property"
}

response = requests.get(url, headers=headers, params=params)
print(response.status_code)
print(response.json())

5) Handle pagination and filtering

Public records APIs often return data in pages, so check for:

  • page
  • limit
  • offset
  • next_cursor

Example:

params = {"limit": 100, "offset": 0}

6) Respect legal and privacy limits

Even if records are public, APIs may restrict:

  • Bulk downloading
  • Commercial use
  • Reuse of personal data
  • Automated scraping

Always review:

  • API terms
  • Privacy laws
  • Agency-specific rules

7) Process and store the data carefully

Common steps:

  • Validate fields
  • Normalize dates/addresses/names
  • De-duplicate records
  • Log request IDs for debugging

If you want, I can show you:

  1. a Python example,
  2. a JavaScript example, or
  3. how to access a specific public records API if you tell me the source.

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 dotdotPR. 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.