Local Business Lead Finder for AI Agents

Local Business Lead Finder for AI Agents finds local business lead candidates from a category and location, then returns structured records for prospecting, enrichment, and local-market research workflows. It is built for AI agents that need local business names, addresses, coordinates, website clues, phone clues, fit notes, source attribution, and confidence.

Use cases

• Find local business prospects by niche and geography.
• Seed an AI lead-generation workflow with structured local records.
• Build local market maps for dentists, gyms, solicitors, agencies, clinics, trades, and other categories.
• Prepare a list for downstream website enrichment, email finding, or CRM review.
• Compare local business density across towns or regions.

Use this Actor when

Use this Actor when an agent needs a small, structured set of local business candidates from a category and location.

Do not use this Actor when

Do not use it as a full Google Maps replacement, guaranteed contact database, or verified email/phone finder. It uses public local data sources and should be chained with enrichment tools.

Input

{
  "category": "dentist",
  "location": "Portsmouth, UK",
  "maxResults": 5
}

Output

The Actor writes one record per local business candidate to the default dataset. Typical fields include:

• name
• category
• location
• displayAddress
• latitude
• longitude
• website
• phone
• fitNotes
• confidence
• source

Agent workflow

1. Pass a business category and location.
2. Read local lead candidates from the default dataset.
3. Send records with websites to a website intelligence or lead scoring Actor.
4. Send records without websites to a manual review or additional discovery step.

Limitations

• Coverage depends on public local data availability.
• Phone and website fields may be empty.
• Results are lead candidates, not verified sales-ready contacts.

Pricing and runtime

This MVP is designed for small local prospecting batches. Keep maxResults modest for fast agent loops and use enrichment Actors for deeper contact discovery.