Google Maps Export

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

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	"[phone]"
email	Contact email	"[e-mail]"
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

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.