Local Places & Business Leads Extractor [$1/1K]
Pricing
from $1.00 / 1,000 results
Local Places & Business Leads Extractor [$1/1K]
High-speed local business & POI extractor powered by OpenStreetMap Nominatim. Extracts verified business names, addresses, categories, coordinates, phones, websites, and direct Google Maps links.
Pricing
from $1.00 / 1,000 results
Rating
0.0
(0)
Developer
YakeddGraph Engineering
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
Categories
Security
Limited permissionsShare
🚀 Google Maps & Local Business Leads Scraper [$1/1K · Fast]
Extract structured, verified data in seconds with yakeddgraph/google-maps-places-leads-extractor — engineered for zero-cookie execution, 512 MB ultra-light cloud containers, and seamless Model Context Protocol (MCP) & REST API integration.
- 📊 View Live Extracted Sample Dataset Portal (HTML / JSON-LD)
- ⚡ Download 1-Click n8n Automation Workflow JSON
- 🤖 Import OpenAPI 3.1.0 Spec for OpenAI Custom GPTs & LangChain
- 🌐 Explore All 20 YakeddGraph Micro-SaaS Tools
⚡ Why Choose This Actor? (Top-Tier Comparison)
| Feature | YakeddGraph (google-maps-places-leads-extractor) | Typical Store Competitors |
|---|---|---|
| Pricing | $1.00 per 1,000 results ($0.001/item Pay-Per-Event) | $5.00 – $25.00 / 1,000 results + Monthly Rental |
| Cookies / Login Required? | No Cookies or Login Required | Often requires session cookies |
| Residential Proxies Needed? | No (Zero Proxy Cost) | Expensive residential proxy burn |
| Memory Footprint | 512 MB Ultra-Light Container (16x concurrent runs on Free tier) | 4,096 MB heavy browser instances |
| AI & MCP Ready | Native Support for Claude Desktop, Cursor & Custom GPTs | Manual integration required |
🤖 Connect to Claude Desktop, Cursor & Windsurf (Apify MCP Server)
Add this Actor as a native tool inside Claude Desktop (claude_desktop_config.json) or Cursor (.cursor/mcp.json):
{"mcpServers": {"yakeddgraph-google-maps-places-leads-extractor": {"command": "npx","args": ["-y","@apify/actors-mcp-server","--actors","yakeddgraph/google-maps-places-leads-extractor"],"env": {"APIFY_TOKEN": "YOUR_APIFY_API_TOKEN"}}}}
🛠️ Input Parameters & Example Payload
| Parameter | Type | Description |
|---|---|---|
start_urls | array | Google Maps search URLs (e.g. https://www.google.com/maps/search/restaurants+in+Manhattan) or local business pages. |
search_query | string | Optional search query such as 'coffee shops in Miami' or 'dentists in Austin'. |
Example Input JSON
{"start_urls": [{"url": "https://www.google.com/maps/search/restaurants+in+Manhattan"}],"search_query": "restaurants in Manhattan"}
📊 Real Verified Output Dataset Sample
{"business_name": "Katz's Delicatessen","category": "restaurant","cuisine_or_specialty": "deli;american","street_address": "205 East Houston Street","city": "New York","state": "New York","postcode": "10002","country": "United States","phone": "+1 212-254-2246","website": "https://katzsdelicatessen.com","opening_hours": "Mo-Fr 08:00-22:45; Sa 08:00-24:00; Su 00:00-22:45","latitude": 40.7222328,"longitude": -73.9874295,"google_maps_url": "https://www.google.com/maps/search/?api=1&query=40.7222328,-73.9874295","search_query": "restaurants in Manhattan","extracted_by": "YakeddGraph Local Business Engine"}
🔌 Quickstart API Integration (Python, Node.js & cURL)
Python (apify-client)
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_API_TOKEN")run = client.actor("yakeddgraph/google-maps-places-leads-extractor").call(run_input={"start_urls": [{"url": "https://www.google.com/maps/search/restaurants+in+Manhattan"}],"search_query": "restaurants in Manhattan"})for item in client.dataset(run["defaultDatasetId"]).iterate_items():print(item)
Direct Synchronous REST API (cURL)
curl -X POST "https://api.apify.com/v2/acts/yakeddgraph~google-maps-places-leads-extractor/run-sync-get-dataset-items?token=YOUR_APIFY_API_TOKEN" \-H "Content-Type: application/json" \-d '{"start_urls": [{"url": "https://www.google.com/maps/search/restaurants+in+Manhattan"}], "search_query": "restaurants in Manhattan"}'