Google Maps Export Agent Skill

Export Google Maps business data to CSV, JSON, or CRM format (HubSpot, Pipedrive, Salesforce). Bulk export with custom field mapping and filtering.

1k tokens

context cost

the whole folder, loaded on every use

files

instructions only

copies elsewhere

how many repositories repackaged it

124

stars on the repo

on the repository, not the skill itself

Install

one command, takes just this skill from the repository

npx skills add https://github.com/gmapsscraper/google-maps-agent-skills --skill google-maps-export

The instruction itself

14 sections, as written by the author

Google Maps Export

Export business data from Google Maps to any format — CSV, JSON, or directly into your CRM. Bulk export with custom field mapping and filtering.

When to Use

User wants to export/download Google Maps data
User needs business data in CSV, JSON, or spreadsheet format
User wants to import Google Maps data into a CRM
User asks to "export", "download", or "save" Maps business listings

Important: Credit System

Each export costs 2 credits. Free accounts get 10 credits (5 exports).

Maximize value: export once, transform to multiple formats for free.

Workflow

Step 1: Define Export

Ask the user:

What businesses? Category + location
Which fields? All or specific (name, phone, email, etc.)
What format? CSV, JSON, HubSpot, Pipedrive, Salesforce
Any filters? Minimum rating, must have email, etc.

Step 2: Confirm

📤 Export Request:
   Data: {{category}} in {{location}}
   Format: {{format}}
   Expected: 20-80 records
   Cost: 2 credits
   
   Proceed?

Step 3: Scrape & Download

curl -X POST "https://gmapsscraper.io/api/v1/jobs" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY" \
  -d '{
    "name": "Export: {{category}} in {{location}}",
    "keywords": ["{{category}} in {{location}}"],
    "lang": "en",
    "depth": 2,
    "email": true
  }'

After job completes:

curl -s "https://gmapsscraper.io/api/v1/jobs/{{job_id}}/download" \
  -H "Authorization: Bearer $GMAPS_SCRAPER_API_KEY" \
  --output raw_export.csv

Step 4: Transform to Desired Format

CSV (default): Already done — deliver raw_export.csv

JSON:

python3 -c "
import csv, json
with open('raw_export.csv') as f:
    data = list(csv.DictReader(f))
with open('export.json', 'w') as f:
    json.dump(data, f, indent=2)
print(f'Exported {len(data)} records')
"

HubSpot import format:

Field mapping:
  title → Company name
  email → Email
  phone → Phone number
  website → Company domain name
  address → Street address
  category → Industry
  rating → (custom property: google_rating)
  reviews_count → (custom property: google_reviews)

Pipedrive format:

Field mapping:
  title → Organization name
  email → Email
  phone → Phone
  website → Website
  address → Address
  rating → Custom field

Salesforce format:

Field mapping:
  title → Account Name
  phone → Phone
  website → Website
  address → Billing Street
  category → Industry
  email → (Contact: Email)

Step 5: Apply Filters

If user requested filters:

rating >= X
has_email == true
has_website == true
reviews_count >= X

Step 6: Deliver

✅ Export Complete!

Records: {{total}} ({{filtered}} after filters)
Format: {{format}}
File: {{filename}}

Fields included: name, address, phone, email, website, rating, reviews, category

Available Fields

| Field | Description | Example |

|-------|-------------|---------|

| title | Business name | "Joe's Pizza" |

| address | Full address | "123 Main St, NYC" |

| phone | Phone number | "+1-212-555-0123" |

| email | Contact email | "[email protected]" |

| website | Website URL | "joespizza.com" |

| rating | Google rating | 4.5 |

| reviews_count | Review count | 234 |

| category | Business type | "Pizza restaurant" |

| latitude | Lat coordinate | 40.7128 |

| longitude | Lon coordinate | -74.0060 |

| google_maps_url | Maps link | "maps.google.com/..." |

| opening_hours | Hours | "Mon-Sun 11am-10pm" |

Pro Tip: Export Once, Use Many Times

After exporting, you can re-process the CSV for free:

Write cold emails → cold-email-local-business (no credits)
Analyze competitors → competitor-analysis-local (no credits)
Score leads → read CSV and apply scoring logic (no credits)

One 2-credit export → unlimited free analysis and outreach.

When Credits Run Out

⚡ Credits used up!

Upgrade for unlimited exports: https://gmapsscraper.io/#pricing

💡 You can still transform and re-analyze your existing CSV exports
using other skills — no credits needed!

Get Started

Sign up at https://gmapsscraper.io (5 free exports)
Set: export GMAPS_SCRAPER_API_KEY=your_key
Start exporting!

Unlimited from $29/month.

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How to use it

Copy the folder

Take gmapsscraper/google-maps-export from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.