gabrielmoreira/agent-skills-mirror/google-maps-export

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

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
  }'

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

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')
"

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)

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

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

✅ Export Complete!
 
Records: {{total}} ({{filtered}} after filters)
Format: {{format}}
File: {{filename}}
 
Fields included: name, address, phone, email, website, rating, reviews, category

⚡ 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!