Automated local business lead generation with Google Maps & GPT-4

Open on n8n.io

$20/month : Unlimited workflows

2500 executions/month

Try free

THE #1 IN WEB SCRAPING

Scrape any website without limits

Try free

HOSTINGER

Early Deal
DISCOUNT 20%

Self-hosted n8n

Unlimited workflows - from $4.99/mo

Try free

#1 hub for scraping, AI & automation

6000+ actors - $5 credits/mo

Try free

Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

AI Powered Local Lead Generation Workflow with n8n This workflow solves one of the biggest pain points for freelancers , agencies , and SaaS founders —finding accurate local business leads at scale...

Best for

Lead Generation automation workflows
Multimodal AI automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.manualtrigger, @n8n/n8n-nodes-langchain.chainllm, @n8n/n8n-nodes-langchain.outputparserstructured, @n8n/n8n-nodes-langchain.lmchatopenai, n8n-nodes-base.splitout, n8n-nodes-base.set, n8n-nodes-base.splitinbatches, n8n-nodes-base.limit

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Shahrukh.

Original n8n.io source

1.1 Workflow description

Title: Automated local business lead generation with Google Maps & GPT-4
Workflow name: Automated local business lead generation with Google Maps & GPT-4

AI-Powered Local Lead Generation Workflow with n8n

This workflow solves one of the biggest pain points for freelancers, agencies, and SaaS founders—finding accurate local business leads at scale without manual copy-pasting or unreliable scraping tools.

Traditional lead generation is time-consuming and prone to errors.
This template automates the entire process so you can focus on outreach, not data gathering.

✅ What the Workflow Does

Accepts a business type (e.g., plumbers) and city (e.g., Los Angeles) as input
Uses AI to generate hyperlocal search terms for full neighborhood coverage
Scrapes Google Maps results to extract business details and websites
Filters out junk, Google-owned links, and duplicates
Scrapes homepage HTML for each business and extracts valid emails using Regex
Outputs a clean, deduplicated lead list with business names, websites, and emails

🛠 Everything Runs Inside n8n With:

OpenAI for AI-driven query generation
Zyte API for reliable scraping
JavaScript functions for email extraction
Built-in filtering and batching for clean results

👥 Who is This For?

Marketing agencies doing local outreach
Freelancers offering SEO, design, or lead gen services
SaaS founders targeting SMBs
Sales teams scaling outbound campaigns

✅ Requirements

n8n account (Cloud or self-hosted)
OpenAI API key (stored in n8n credentials)
Zyte API key (stored securely)
Basic familiarity with Google Sheets if you want to export results

⚙️ How to Set Up

Import the workflow JSON into n8n
Go to Credentials in n8n and add OpenAI and Zyte API keys
Replace placeholder credential references in the HTTP Request nodes
Set your search parameters (business type and city) in the designated Set node
Test the workflow with a single search to confirm scraping and email extraction steps
Configure batching if you plan to scrape multiple neighborhoods
Add an output step (Google Sheets, Airtable, or CRM) to store your leads

🔧 How to Customize

Update the OpenAI prompt for different search formats (e.g., service + zip code)
Adjust the Regex pattern in the JavaScript node for additional email validation rules
Add extra filtering logic for niche-specific keywords
Integrate with Instantly, HubSpot, or any email-sending tool for full automation

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Type / Role: n8n-nodes-base.manualTrigger - manualTrigger
Config choices: Version 1

Block 2 - Basic LLM Chain

Type / Role: @n8n/n8n-nodes-langchain.chainLlm - chainLlm
Config choices: Version 1.5

Block 3 - Structured Output Parser

Type / Role: @n8n/n8n-nodes-langchain.outputParserStructured - outputParserStructured
Config choices: Version 1.2

Block 4 - OpenAI Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenAi - lmChatOpenAi
Config choices: Version 1.2

Block 5 - Split Out

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 6 - Edit Fields

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 7 - Loop Over Items

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 8 - Edit Fields3

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 9 - Limit

Type / Role: n8n-nodes-base.limit - limit
Config choices: Version 1

Block 10 - Wait

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 11 - Wait1

Type / Role: n8n-nodes-base.wait - wait
Config choices: Version 1.1

Block 12 - Extract Emails

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 13 - Extract URLs

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 14 - Scrape Site

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 15 - Filter Out Empties

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 16 - Filter Google URLs

Type / Role: n8n-nodes-base.filter - filter
Config choices: Version 2.2

Block 17 - Remove Duplicates (2)

Type / Role: n8n-nodes-base.removeDuplicates - removeDuplicates
Config choices: Version 2

Block 18 - Remove Duplicates2

Type / Role: n8n-nodes-base.removeDuplicates - removeDuplicates
Config choices: Version 2

Block 19 - Loop Over Items3

Type / Role: n8n-nodes-base.splitInBatches - splitInBatches
Config choices: Version 3

Block 20 - Limit1

Type / Role: n8n-nodes-base.limit - limit
Config choices: Version 1

Block 21 - Split Out2

Type / Role: n8n-nodes-base.splitOut - splitOut
Config choices: Version 1

Block 22 - Edit Fields1

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 23 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 24 - Scrape Google Maps

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Showing the first 24 of 26 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Automated local business lead generation with Google Maps & GPT-4
Complexity	advanced
Nodes	26
Categories	Lead Generation, Multimodal AI
Author	Shahrukh
Published	05 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/5701/5701.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Lead Generation workflows Multimodal AI workflows

Frequently asked questions

What does Automated local business lead generation with Google Maps & GPT-4 do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Lead Generation, Multimodal AI use case.

Shahrukh

3 workflows

Nodes

n8n-nodes-base.manualtrigger @n8n/n8n-nodes-langchain.chainllm @n8n/n8n-nodes-langchain.outputparserstructured @n8n/n8n-nodes-langchain.lmchatopenai n8n-nodes-base.splitout n8n-nodes-base.set n8n-nodes-base.splitinbatches n8n-nodes-base.limit

Complexity

advanced

Published 05 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/5701/5701.json

Share Your Workflow

Have a useful automation to share? Publish it and help the community.

Submit Your Template How to Submit

Related Workflows

Find LinkedIn engagement opportunities with Apify, Gemini, Google Sheets and Slack

## Quick overview Youtube Video: https://youtu.be/ehsagyRmri4 This workflow runs on a schedule to scrape recent LinkedIn posts with Apify, stores and evaluates them in Google Sheets using Google Gemini, then enriches shortlisted authors with Apify profile data, saves profile results to a second Sheet, and sends Slack alerts for comment and connection opportunities. ## How it works 1. Runs on a schedule and sets the Ideal Customer Profile (ICP) text used for evaluation. 2. Scrapes LinkedIn posts from Apify using the configured search query and merges the results with existing rows from a Google Sheets “Linkedin_Outreach_oppurtunities” sheet. 3. Limits processing to two posts, upserts the post details into Google Sheets, and sends each post’s content to Google Gemini to score whether it is a comment opportunity. 4. If the post is marked as an opportunity with a confidence score above 80, the workflow updates the corresponding Google Sheets row with the AI reasoning and suggested comment angle. 5. Aggregates the qualified opportunities, compares their author profile URLs against an existing “Profile_scraper” Google Sheet, and keeps only authors that are not already present. 6. Scrapes each new author profile with an Apify profile scraper, uses Google Gemini to score ICP match, saves the profile details and qualification summary to the “Profile_scraper” Google Sheet, and posts a Slack message with the shortlisted profile link. 7. Separately, a Google Sheets trigger watches the opportunities sheet for row updates and sends a Slack alert containing the post link, reasoning, and comment angle. ## Setup 1. Add Apify credentials and verify the actor IDs and input parameters for the LinkedIn post scraper and the profile scraper. 2. Configure Google Sheets access (service account for read/write nodes and a Google Sheets Trigger OAuth connection) and update the document IDs/sheet tabs for both the opportunities sheet and the profile sheet. 3. Add Google Gemini (Google PaLM) credentials and confirm the selected Gemini model names in both AI evaluation steps. 4. Add Slack credentials, choose the target channel, and adjust the Slack message text if needed. 5. Customize the ICP text and the LinkedIn search query/posted time window to match the audience and volume you want to monitor.

View

Enrich existing HubSpot company records with Veridion

## Quick Overview This workflow manually enriches existing HubSpot companies using Veridion, skipping records already marked as enriched and updating HubSpot with matched company details like industry, location, and key firmographics. ## How it works 1. Runs when you manually execute the workflow. 2. Fetches up to 100 companies from HubSpot and includes key properties such as name, domain, phone, and the custom veridion_enriched flag. 3. Stops with a clear error if the veridion_enriched property is missing, otherwise filters to only companies not yet marked as enriched. 4. Retrieves full details for each selected HubSpot company and sends its name, domain/website, and phone to Veridion for enrichment. 5. Checks whether Veridion returns a match and skips companies without a match. 6. Maps key Veridion fields and updates the HubSpot company record with enriched details and sets veridion_enriched to true. ## Setup 1. Create the HubSpot company custom properties veridion_enriched (boolean/checkbox) and veridion_industry (single-line text). 2. Add HubSpot App Token credentials and ensure the HubSpot company list request includes veridion_enriched, veridion_industry, name, domain/website, phone, and hs_object_id. 3. Add Veridion API credentials and confirm your HubSpot companies have at least a name plus a domain/website or phone for best matching.

View

Identify company decision makers with Coresignal and Google Sheets

## Quick Overview This workflow manually pulls company website data from Google Sheets, finds matching companies in Coresignal, and searches for decision-maker employees. It then writes the resulting contact and company details back to a dedicated “Decision makers” sheet in Google Sheets. ## How it works 1. Manually starts the workflow and reads company rows from a Google Sheets spreadsheet. 2. Normalizes each company website URL into a clean domain and searches Coresignal for the matching company by website domain. 3. Processes companies in batches and writes placeholder “no employee found” company details to the “Decision makers” sheet in Google Sheets. 4. For each matched company, searches Coresignal for current employees whose titles match common executive and leadership roles. 5. If the title-based search does not return a single employee ID, runs a broader Coresignal decision-maker search that excludes HR-related roles and departments. 6. Retrieves detailed employee (and, when needed, company) fields from Coresignal and appends or updates the “Decision makers” sheet with names, titles, emails, LinkedIn URLs, and company information. ## Setup 1. Create a Google Sheets OAuth2 connection and set the source sheet (companies with a Website field) and the target “Decision makers” sheet in the Google Sheets nodes. 2. Create a Coresignal API credential in n8n and ensure your plan supports company and employee Elasticsearch DSL search and profile retrieval. 3. Confirm your input sheet includes a website column named either Website or website, and adjust the Coresignal title/department filters to match the decision-maker roles you want to capture.

View

Need Custom Automation?

Get help designing a custom n8n workflow that connects your stack and fits your process.

Automated local business lead generation with Google Maps & GPT-4

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI-Powered Local Lead Generation Workflow with n8n

✅ What the Workflow Does

🛠 Everything Runs Inside n8n With:

👥 Who is This For?

✅ Requirements

⚙️ How to Set Up

🔧 How to Customize

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - When clicking ‘Test workflow’

Block 2 - Basic LLM Chain

Block 3 - Structured Output Parser

Block 4 - OpenAI Chat Model

Block 5 - Split Out

Block 6 - Edit Fields

Block 7 - Loop Over Items

Block 8 - Edit Fields3

Block 9 - Limit

Block 10 - Wait

Block 11 - Wait1

Block 12 - Extract Emails

Block 13 - Extract URLs

Block 14 - Scrape Site

Block 15 - Filter Out Empties

Block 16 - Filter Google URLs

Block 17 - Remove Duplicates (2)

Block 18 - Remove Duplicates2

Block 19 - Loop Over Items3

Block 20 - Limit1

Block 21 - Split Out2

Block 22 - Edit Fields1

Block 23 - Sticky Note

Block 24 - Scrape Google Maps

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions