Prompt

company enrichment api no scraping

Technology / API Platforms1 observationLast seen Oct 8, 2026

Latest observation

Oct 8, 2026OpenAI APIWeb search: off

If you want company enrichment APIs that do not rely on scraping, here are solid options that typically use licensed datasets, registries, or aggregated business data rather than crawling websites.

Good non-scraping company enrichment APIs

1. Clearbit

  • What it gives: company name, domain, logo, industry, size, funding, tech stack, social profiles, location
  • Best for: SaaS/GTM enrichment
  • Notes: one of the most common enrichment APIs for domains/emails

2. People Data Labs (PDL) – Company Enrichment

  • What it gives: firmographics, website, location, employee count, revenue ranges, social links, industry
  • Best for: large-scale enrichment pipelines
  • Notes: strong API coverage and bulk options

3. Crunchbase API

  • What it gives: company profile, funding, investors, acquisitions, headquarters, industries
  • Best for: startup and funding intelligence
  • Notes: good for private and venture-backed companies

4. ZoomInfo

  • What it gives: firmographics, technographics, contacts, intent signals
  • Best for: sales intelligence and B2B targeting
  • Notes: enterprise-focused; licensing is typically required

5. Dun & Bradstreet / Hoovers

  • What it gives: business identity, hierarchy, credit/risk data, firmographics
  • Best for: compliance, risk, enterprise enrichment
  • Notes: authoritative business entity data

6. APIs from official registries / government sources

Examples:

  • OpenCorporates API

  • Companies House API (UK)

  • SEC EDGAR APIs/data (US public companies)

  • GLEIF LEI API (global legal entity identifiers)

  • Best for: verified legal entity enrichment

  • Notes: not as “marketing-rich,” but highly reliable and non-scraped

7. FullContact / other identity enrichment vendors

  • What it gives: company and contact enrichment depending on plan
  • Best for: identity resolution and enrichment workflows

If you need “no scraping” strictly

Look for vendors that explicitly say they use:

  • licensed data partnerships
  • public registry ingestion
  • proprietary datasets
  • first-party / consented data
  • direct API integrations

Avoid vendors that say they “discover,” “extract,” or “crawl” websites unless they clearly separate that from the enrichment product.


Best choice by use case

  • Sales/marketing enrichment: Clearbit, PDL, ZoomInfo
  • Funding/startup data: Crunchbase
  • Legal entity verification: OpenCorporates, Companies House, GLEIF, D&B
  • Compliance/risk: D&B, registry APIs
  • Public companies: SEC/EDGAR-based data providers

Example API patterns to look for

A typical company enrichment call might be by:

  • domain: example.com
  • company name: Example Inc
  • legal entity id: LEI, registration number, DUNS
  • email domain: @example.com

Recommended shortlist

If you want a practical shortlist of non-scraping APIs:

  1. Clearbit
  2. People Data Labs
  3. Crunchbase
  4. OpenCorporates
  5. Dun & Bradstreet
  6. GLEIF / Companies House / SEC for registry-backed data

If you want, I can also give you:

  • a comparison table of these APIs,
  • pricing/availability notes,
  • or which ones are best for SMB vs enterprise vs startup data.

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.

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