Automate Google Maps Prospecting with Make.com

Automate Google Maps Prospecting with Make.com: The Complete Guide

Are you prospecting on Google Maps? Are you manually entering contacts? There’s a better way.

Automation tools like Make.com (formerly Integromat) allow you to create workflows that automatically extract Google Maps data, enrich it, and send it directly to your CRM or database.

The result: instead of spending 8 hours on manual work each week, you spend zero. The data arrives automatically, filtered and ready to use.

This article explains how it works, real use cases, and how to build your first workflow.

Why Automate Google Maps Prospecting?

The Problem: Manual Prospecting Wastes Time

Searching for prospects on Google Maps is repetitive.

You type in a query ("plumbers in Lyon"), scroll through the results, jot down names and phone numbers, visit websites to find emails, and paste everything into a spreadsheet. Then you start over for the next city.

A team of 5 salespeople can spend 15-20 hours a week just extracting data. That’s time that doesn’t generate any sales.

The Solution: Automated Workflows

An automated workflow does this for you:

Searches for prospects based on your criteria (city, category, Google rating, etc.)
Enriches the data (extracts emails from the website, detects technologies, retrieves reviews)
Filters the results (keeps only those without email, or those poorly rated, or those using WordPress)
Automatically sends to your CRM, Slack, Google Sheets, or an email

The result: a fresh list of prospects, every day or every week, without human intervention.

Estimated time savings: 15-20 hours/week recovered for real sales work.

How Make.com Works (and Why It’s Powerful)

What is Make.com?

Make.com is an automation platform that connects applications together. You create "scenarios" (workflows) that say: "If X happens in app A, then do Y in app B."

Examples:

"If a new lead arrives in Google Maps, add it to my Google Sheets"
"If a contact has a website, retrieve its technologies, then send me an email"
"If a company has 4+ stars, add it to Salesforce"

Make.com has hundreds of integrations: Google Sheets, Salesforce, HubSpot, Slack, Zapier, n8n, etc.

Why Google Maps Automation Changes Everything

Without automation: you search manually, sort manually, import manually. Each step is an opportunity for error.

With automation: a single setup, and then it’s autonomous. You can even run multiple workflows in parallel (one for plumbers, one for electricians, etc.).

Real use cases:

SEO Agency: find all restaurants without Google Analytics in your area, contact them automatically
Reputation Agency: identify companies with < 3 stars, send a Slack alert
B2B SaaS: find all HubSpot users in your industry, add them to a LinkedIn campaign
Recruitment: find growing startups (increasing number of reviews), contact them for positions

Steps to Build an Automated Google Maps Workflow

Step 1: Choose Your Data Source

You need an API or service that scrapes Google Maps. Make.com does not have a native Google Maps connector—you need to use a third party.

Main options:

Service	Cost	Advantages	Disadvantages
IBLead	€44-250/month	Advanced filters, Google reviews, technology detection, SIRET (FR)	No real-time scraping
Apify	$49-499/month	Flexible, real-time scraping	More expensive, complex interface
Google Maps API	$0.01-7 per request	Official, reliable	Limited to 120 results per request
Bright Data	$300+/month	Very powerful	Expensive for small teams

Our recommendation to get started: IBLead. Why? The filters are designed for prospecting (Google rating, number of reviews, detected emails, technologies), and the prices are accessible starting at €44/month.

Step 2: Generate Your API Key

If you choose IBLead:

Create an account on iblead.com (or IBLead if you prefer)
Go to API settings
Generate a key (it looks like sk_live_xxxxx)
Keep it safe—it's your passport for requests

Important: the API is accessible even on free plans. You can test before paying.

Step 3: Set Up Your First Make.com Scenario

Here’s the basic structure of a workflow:

[Trigger] → [Action 1] → [Action 2] → [Action 3]

Concrete example: "Every day, search for poorly rated plumbers in Paris, add them to Google Sheets"

Trigger: Scheduler (every day at 9 AM)
Action 1: IBLead API call (search for plumbers in Paris, filter: rating < 3.5)
Action 2: Loop through results (for each plumber found)
Action 3: Add a row in Google Sheets

Here’s what it looks like in pseudocode:

EVERY DAY AT 9 AM:
  IBLead API call {
    city: "Paris",
    category: "Plumber",
    rating: {min: 0, max: 3.5}
  }
  
  FOR EACH result:
    Add to Google Sheets:
      - Name
      - Address
      - Phone
      - Email
      - Google rating
      - Number of reviews

Setup time: 30 minutes for someone familiar with Make.com. 2-3 hours if it’s your first time.

Step 4: Add Smart Filters

Filters turn a raw list into a targeted list.

Examples of useful filters:

Detected email: keep only companies with an email found (a sign they have a professional website)
Number of reviews: search for new players (0-50 reviews) or established ones (200+ reviews)
Google rating: identify poorly rated ones (< 3.5) or excellent ones (4.8+)
Technologies: search for sites without Google Analytics, or Shopify users
Claimed listing: keep only official listings (claimed = verified by the owner)

Example of a workflow with filters:

Search: Restaurants in Lyon
Filter 1: Google rating < 3.8
Filter 2: Number of reviews > 30 (established, not new)
Filter 3: Detected email = YES
Filter 4: Claimed listing = YES

Result: 47 well-established restaurants but with a bad reputation
→ Send to Slack + Google Sheets

Concrete Use Cases: 5 Workflows to Set Up

#1 - Enrichment of Existing Data

Problem: you have a list of 1000 emails, but no phone numbers or addresses.

Solution:

FOR EACH email in your list:
  API call: "Find the company corresponding to this email"
  Retrieve: phone, address, Google rating, number of reviews
  Add to CRM

Time saved: 8-10 hours of manual research.

#2 - Industry-Specific Prospecting

Problem: you sell SEO software, and you want to target web agencies.

Solution:

EVERY DAY:
  Search: Web agencies + Digital agencies + Web designers
  Filter: Google rating > 4.2 (sign of quality)
  Filter: Number of reviews > 20 (established)
  Filter: No Google Analytics detected (potential client)
  
  FOR EACH result:
    Add to a Lemlist list
    Send an email: "Free SEO audit of your site"

Result: 50-100 qualified leads per week, without lifting a finger.

#3 - Opportunity Detection by Reputation

Problem: you are a reputation agency, looking for clients with poor ratings.

Solution:

EVERY WEEK:
  Search: All hotels, restaurants, services in Paris
  Filter: Google rating < 3.5
  Filter: Number of reviews > 50 (established, so really poorly rated)
  
  FOR EACH result:
    Retrieve the last 10 Google reviews
    Analyze sentiment (negative = high priority)
    Send an email: "We noticed negative reviews..."

Result: a list of hot prospects who have a real problem to solve.

#4 - Competitor Monitoring

Problem: you want to track your competitors' movements.

Solution:

EVERY DAY:
  Search: Restaurants in Lyon (your competitor's category)
  Search: Restaurants in Marseille
  Search: Restaurants in Bordeaux
  
  Retrieve for EACH:
    - Number of reviews (increasing = expansion)
    - Google rating (decreasing = problems)
    - New photos (activity)
    - Detected technologies (are they changing platforms?)
  
  Send a Slack report in the morning

Result: you immediately know if a competitor is growing or declining.

#5 - Automatic CRM Integration

Problem: you are looking for prospects, but you want to add them directly to Salesforce.

Solution:

EVERY DAY AT 6 PM:
  Search: Cleaning services in Île-de-France
  Filter: Detected email = YES
  Filter: Claimed listing = YES
  
  FOR EACH result:
    Add to Salesforce:
      - Account name
      - Address
      - Phone
      - Email
      - Category = "Cold lead"
      - Created by = "Automated workflow"
    
    Assign to a salesperson (round-robin)

Result: leads arrive directly in Salesforce, ready to be called.

Pitfalls to Avoid

Trap #1: Too Many Filters = Zero Results

If you filter "rating > 4.8 AND detected email AND WordPress AND fewer than 50 reviews," you will find 3 companies instead of 300.

Solution: start broad, then refine. First, search for 500 restaurants, then keep only those with a rating > 4.2.

Trap #2: Data Becomes Obsolete Quickly

Google Maps data changes: businesses close, ratings go up/down, emails change.

Solution: rerun your workflow once a week, not once a month. Fresh data is better than complete but old data.

Trap #3: Spam = Blocking

If you send 1000 identical emails in an hour, you will get blocked. Email providers see this as spam.

Solution: spread the emails over 3-4 days (Make.com can do this). Personalize each email (mention the company name, Google rating, etc.).

Trap #4: Forgetting to Validate Data

Sometimes, the API returns a false email or an incomplete address.

Solution: add a validation step. Check that the email contains an "@", that the address has at least 5 characters, etc.

IBLead vs Alternatives: Why Source Choice Matters

You need a reliable Google Maps data source. The choice you make here will affect the quality of all your workflows.

Here’s how the main sources compare:

Criteria	IBLead	IBLead	Google API	Apify
Cost (10K credits)	€44/month	€49/month	~€100	€49/month
Advanced Filters	✅ all plans	✅ Pro+	❌ limited	✅
Google Reviews	✅ full text	✅ full text	❌ no	❌ no
Detection of 160+ Technologies	✅	❌	❌	❌
Enriched Email	✅	✅	❌	✅
Search by Country	✅ Starter	❌ Company (€499)	✅	✅
SIRET/SIREN (FR)	✅	❌	❌	❌
Update	Monthly	Monthly	Real-time	Real-time
Ease of Integration	✅ Simple API	✅ Simple API	✅ Official API	✅ API

The key point: if you are prospecting in France, IBLead offers unique data (SIRET, SIREN, APE code) that no one else has. If you are prospecting internationally, the options are closer.

For Make.com, all these sources integrate the same way (via HTTP API). The choice depends on:

Your budget: IBLead and IBLead are the cheapest
Your filtering needs: IBLead includes all filters starting at €44/month
Your market: if you are in France, IBLead has the advantage of SIRET
Your need for real-time: Google API and Apify are real-time, IBLead/IBLead are monthly

How to Get Started: Practical Steps

Step 1: Create a Make.com Account

Go to make.com
Sign up (free, you get 1000 operations/month)
Create a new scenario

Step 2: Add the HTTP API Connector

Make.com has a generic "HTTP" connector that accepts any API.

Click on "Add a module"
Search for "HTTP"
Select "Make a request"

Step 3: Configure Your First Request

Example with IBLead:

URL: https://api.iblead.com/v1/search
Method: POST
Headers:
  Authorization: Bearer YOUR_API_KEY
  Content-Type: application/json

Body (JSON):
{
  "city": "Paris",
  "category": "Plumber",
  "filters": {
    "rating_min": 0,
    "rating_max": 3.5,
    "has_email": true
  },
  "limit": 100
}

Step 4: Add an Action (Google Sheets, Slack, CRM)

Once you have the results, do something with them:

Option 1: Google Sheets

Add a row for each result
Columns: Name, Address, Phone, Email, Rating, Reviews

Option 2: Slack

Send a message: "50 new plumbers found"
List the top 5

Option 3: CRM (Salesforce, HubSpot)

Create a contact for each result
Automatically assign to a salesperson

Automate Google Maps Prospecting with Make.com: The Complete Guide