aliatx2017/reasonix-hermes/google-maps-scraper

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Scrape Google Maps for business listings using the local Google Maps Scraper at http://192.168.1.214:8080. Search by keywords, location, language, and zoom level. Get business names, addresses, phones, websites, ratings, and reviews.

Install

npx vskill@latest install aliatx2017/reasonix-hermes/google-maps-scraper

SKILL.md

Google Maps Scraper (Local)

Scrape Google Maps business listings using the local instance at http://192.168.1.214:8080.

Base URL: http://192.168.1.214:8080 API Docs: http://192.168.1.214:8080/api/docs GitHub: https://github.com/gosom/google-maps-scraper

Create a Scrape Job

bash
JOB=$(curl -s -X POST http://192.168.1.214:8080/api/v1/jobs \
  -H 'Content-Type: application/json' \
  -d '{
    "name": "Coffee shops Athens",
    "keywords": ["coffee shops in athens"],
    "lang": "en",
    "zoom": 14,
    "depth": 1,
    "max_time": 3600
  }')
JOB_ID=$(echo "$JOB" | python3 -c "import sys,json; print(json.load(sys.stdin)['id'])")
echo "Job created: $JOB_ID"
Request Fields
FieldTypeDescription
namestringHuman-readable name for the job
keywordsstring[]Search terms (one per search area)
langstringLanguage code: en, el, fr, de, etc.
zoomintMap zoom level (1-21). Higher = more granular. Default: 14
depthintSearch depth. 1 = single area, higher = recursively subdivides. Default: 1
max_timeintMax scraping time in seconds. 0 = unlimited

Check Job Status

bash
curl -s http://192.168.1.214:8080/api/v1/jobs/$JOB_ID | python3 -m json.tool

Response includes job status (pending, running, finished, cancelled, error), creation time, and result count.

List All Jobs

bash
curl -s http://192.168.1.214:8080/api/v1/jobs | python3 -c "
import sys, json
for j in json.load(sys.stdin):
    print(f'{j[\"id\"][:8]}... {j[\"status\"]:10s} {j[\"name\"]}')
"

Export Results as JSON

bash
curl -s http://192.168.1.214:8080/api/v1/jobs/$JOB_ID/results/json \
  | python3 -c "
import sys, json
for item in json.load(sys.stdin):
    name = item.get('name', 'N/A')
    addr = item.get('address', 'N/A')
    phone = item.get('phone', 'N/A')
    rating = item.get('rating', '?')
    reviews = item.get('reviews', 0)
    print(f'{name}')
    print(f'  {addr}')
    print(f'  ☎ {phone} | ★{rating} ({reviews} reviews)')
    print()
" | head -50

Response Format (per business)

json
{
  "name": "Business Name",
  "address": "123 Main St, City",
  "phone": "+1-555-0123",
  "website": "https://example.com",
  "rating": 4.5,
  "reviews": 127,
  "place_id": "ChIJ...",
  "categories": ["Coffee Shop", "Cafe"],
  "location": { "lat": 37.98, "lng": 23.72 },
  "hours": { "Monday": "8AM-10PM", ... }
}

Practical Examples

Find restaurants near a location:

bash
curl -s -X POST http://192.168.1.214:8080/api/v1/jobs \
  -H 'Content-Type: application/json' \
  -d '{"name":"Athens restaurants","keywords":["restaurants near Syntagma Square Athens"],"lang":"en","zoom":16,"depth":1,"max_time":600}'

Competitor research (multiple keywords):

bash
curl -s -X POST http://192.168.1.214:8080/api/v1/jobs \
  -H 'Content-Type: application/json' \
  -d '{"name":"Competitor sweep","keywords":["coworking spaces downtown","shared offices near me"],"lang":"en","zoom":14,"depth":2,"max_time":3600}'

Notes

  • Scraping is rate-limited by Google. Jobs with high depth/zoom take longer.
  • Results include place_id for stable referencing across runs.
  • The web UI at http://192.168.1.214:8080 provides a visual job manager.

Security

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  • Model reviewPassed

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