Google Maps Export

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

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.