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Google Maps Export

skill-gmapsscraper-google-maps-agent-skills-google-maps-export · by gmapsscraper

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

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Install

$ agentstack add skill-gmapsscraper-google-maps-agent-skills-google-maps-export

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

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 | "joe@joespizza.com" | | website | Website URL | "joespizza.com" | | rating | Google rating | 4.5 | | reviewscount | Review count | 234 | | category | Business type | "Pizza restaurant" | | latitude | Lat coordinate | 40.7128 | | longitude | Lon coordinate | -74.0060 | | googlemapsurl | Maps link | "maps.google.com/..." | | openinghours | 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

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

Unlimited from $29/month.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.