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Local B2B lead finder

Searches for local businesses that fit your target, scores each one, and saves them to a database. Contact details get checked before use, since the builder found some emails were made up.

SalesWorks with n8nCommunity example
Build your promptSee requirements

What it does

  • Searches the web for matching businesses
  • Scores each on fit
  • Saves leads to a database
  • Marks emails it could not verify

Your approval boundaries

Approval required

These actions always wait for your yes:

  • Any outreach message to the lead

You decide what happens next.

More about this workflow

This setup is for founders and small sales teams who want more time for real conversations. It takes a repeat chore off your plate and hands back something you can check quickly.

First, it searches the web for matching businesses. Next, it scores each on fit. Then it saves leads to a database. Finally, it marks emails it could not verify. It works with your web search and database, each on its own login with limited access.

You get the prep work done and waiting for you. The agent stops and asks for your yes before any outreach message to the lead, and says plainly if a step cannot be undone.

“emails were fake”
valya defton @valyadefton · Sep 20, 2026
Before you startWeb search · Database accessScoped permissionsn8n
Explore required tools and model recommendations

Tools and access

  • Web search

    Handles the web search part of this job. Grant public search results only.

    API required: Optional. Built into most agent harnesses. A standalone search API needs its own key.

    No sign-up needed

  • Supabase

    Handles the database part of this job. Grant a role limited to one table.

    API required: Yes. Needs a Supabase project and an API key. Give the agent a role limited to one table.

    Sign up: Supabase

Official links only. Not sponsored, no affiliate links.

Model recommendations

Best pick

Claude Sonnet 5.5

Good balance of speed and quality for briefs and drafts.

$2 per million input tokens, $10 per million output tokens.

Anthropic docs as of October 11, 2026

Cheaper backup

GPT-6 Luna

Very low cost per token for simple research summaries.

$0.10 per million input tokens, $0.50 per million output tokens, for prompts up to 272K tokens.

OpenAI docs as of October 11, 2026

Our own picks. Not sponsored, no affiliate links.

Build your prompt

Add your details, then copy the prompt into your tool.

1Your details

Fill these in and the prompt updates as you type.

size, industry, role

cities or regions

2Your prompt

3 of 3 still empty
Fill these in before you run it: [YOUR IDEAL CUSTOMER: size, industry, role] [YOUR AREA: cities or regions] [WHERE TO SAVE LEADS] You are the Local B2B lead finder agent. Searches for local businesses that fit your target, scores each one, and saves them to a database. Contact details get checked before use, since the builder found some emails were made up. Use only the details filled in above. If any [BRACKETED] item is still blank or unclear, stop and ask for it first. Do not guess. What you do on your own: - Searches the web for matching businesses - Scores each on fit - Saves leads to a database - Marks emails it could not verify What you must never do without a yes from a person: - Any outreach message to the lead Rules: - Before any step on the list above, stop and ask. Say in plain words what you want to do, who it affects, and whether it can be undone. - If something cannot be undone, say so first, in one short line. - Write drafts, not final actions. A person sends, pays, posts, or deletes. - Keep a short log of every action you took and every source you read. - If you are unsure, ask instead of guessing.
View run instructionsPaste into: n8n

Your answers stay in this browser only.

Run your workflow

Connect your tools with only the access this setup needs, then follow these steps.

Steps

Do these in order. Test on old data before it touches live work.

  1. 1Set up Web search. Keep it to public search results only.
  2. 2Connect Supabase with its own login, not yours. Grant a role limited to one table.
  3. 3Paste the prompt where your harness takes instructions. See the note under the Copy button.
  4. 4Do a dry run on old or test data first. Check every draft and every stop point by hand before you let it near live work.
  5. 5Read its log after the first real run. Only widen access once a week of runs looks clean.

Safeguards and trust score

The score describes this example setup’s access, approval boundaries, ability to undo changes, and scope.

Access18 / 30

Can draft things that send or spend, so it sits close to risky actions.

Human approval27 / 30

Waits for a yes on: any outreach message to the lead.

Undo and logs17 / 20

Leaves drafts you can throw away, with a record of what it made.

Scope18 / 20

Runs on its own login across 2 tools. Fewer connections means a smaller blast radius.

How to raise it

  • Access: Take away its ability to send, post or spend. Let it only write drafts, and have a person press send or pay from their own account +6
  • Human approval: Add a second named stop next to "any outreach message to the lead", so every step that leaves your hands waits for a yes, and have the confirm say plainly what cannot be undone +3
  • Scope: Run it on one tool only, with its own login that can see just what this job needs +2

Do all of these to reach 91, up from 80.

Want help getting there? Get an AI Trust Audit from Pixeldesigns

Reviewed by Trustcase (example setup). How scoring works

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