Google Maps Scraper: Leads, Emails, Phones & Reviews

The NanoScrape Google Maps Scraper is an Apify actor that extracts business listings from maps.google.com. It returns 84 fields per result including title, phone, address, description, rating, priced at $1/1k place, with no API key or monthly subscription required.

Scrape Google Maps places with 30+ fields: name, address, phone, website, rating, reviews, hours, GPS (source platform). Optional add-ons find emails, social profiles and LinkedIn from each website, merged into one row per business. $1 per 1,000 places.

What you can scrape — 84 fields per result

Input example — showcase (full detail)

{
  "queries": [
    {
      "query": "Das LOFT Vienna",
      "country": "AT",
      "company_id": "test-001"
    }
  ],
  "maxResultsPerQuery": 10,
  "language": "en",
  "includeReviews": true,
  "maxReviewsPerPlace": 8,
  "reviewsSort": "newest",
  "includePlaceDetails": true,
  "maxResults": 30
}

Output example — real dataset item (PII scrubbed)

{
  "company_id": "restaurants in Paris",
  "cid": "16372056912056413691",
  "data_id": "0x89c25a3cbc665ca7:0xe3353b04c599edfb",
  "place_id": "ChIJp1xmvDxawokR--2ZxQQ7NeM",
  "link": "https://www.google.com/maps/place/The+Paris+Caf%C3%A9/@40.707304,-74.001578,17z/data=!3m1!4b1!4m6!3m5!1s0x89c25a3cbc665ca7:0xe3353b04c599edfb!8m2!3d40.707304!4d-74.001578!16s",
  "title": "The Paris Café",
  "category": "American restaurant",
  "categories": [
    "American restaurant",
    "Brunch restaurant",
    "Event venue",
    "Modern French restaurant"
  ],
  "address": "The Paris Café, 119 South Street, 119 Peck Slip, New York, NY 10038",
  "complete_address": {
    "street": "119 South Street, 119 Peck Slip",
    "city": "New York",
    "postal_code": "10038",
    "state": "NY",
    "country": "US"
  },
  "latitude": 40.7073039,
  "longitude": -74.00157759999999,
  "plus_code": "PX4X+W9 New York",
  "timezone": "America/New_York",
  "phone": null,
  "website": "https://www.pariscafenyc.com/",
  "open_hours": {
    "Friday": [
      "12:00-15:00",
      "16:00-00:00"
    ],
    "Saturday": [
      "11:00-15:00",
      "17:00-00:00"
    ],
    "Sunday": [
      "11:00-17:00"
    ],
    "Thursday": [
      "16:00-23:00"
    ],
    "Wednesday": [
      "16:00-23:00"
    ]
  },
  "popular_times": null,
  "price_range": null,
  "status": "OPERATIONAL",
  "review_count": 989,
  "review_rating": 4.3,
  "reviews_per_rating": null,
  "reviews_link": "https://search.google.com/local/reviews?placeid=ChIJp1xmvDxawokR--2ZxQQ7NeM&q=restaurants+in+Paris&authuser=0&hl=en&gl=US",
  "user_reviews": [],
  "images": [],
  "reservations": [
    {
      "link": "https://www.opentable.com/restaurant/profile/1436572?ref=1068",
      "source": "OpenTable"
    }
  ],
  "order_online": [],
  "attributes": {
    "Accessibility": [
      "Wheelchair accessible seating",
      "Assistive hearing loop",
      "Wheelchair accessible entrance",
      "Wheelchair accessible parking lot"
    ],
    "Highlights": [
      "LGBTQ+ friendly"
    ]
  },
  "menu": null,
  "owner": null,
  "description": "Updated historic NYC eatery with elevated French dishes, signature cocktails & vibrant vibes.",
  "rating": 4.3,
  "opening_hours": {
    "Friday": [
      "12:00-15:00",
      "16:00-00:00"
    ],
    "Saturday": [
      "11:00-15:00",
      "17:00-00:00"
    ],
    "Sunday": [
      "11:00-17:00"
    ],
    "Thursday": [
      "16:00-23:00"
    ],
    "Wednesday": [
      "16:00-23:00"
    ]
  },
  "scraped_at": "2026-11-01T05:32:04Z",
  "searchString": "restaurants in Paris",
  "_query": "restaurants in Paris",
  "search_query": "restaurants in Paris",
  "_rank": 1,
  "reservation_platforms": [
    "opentable"
  ]
}

Cost math

Priced at $0.0010 per place. 10 places ≈ $0.01, 100 ≈ $0.10, 1,000 ≈ $1.00. The first runs land inside Apify's $5/mo free-tier credit — pay only for what you extract, no monthly subscription.

Hiring signals (add-on)

• What it does: set enableHiringSignals to true and the actor checks each place that has a website for open roles. It reads the company's own careers page and job systems (ATS boards) through our Job Feed actor. Off by default.
• What you get per place: hiring_status (hiring, no_open_roles, not_read or no_website), hiring_open_roles_count, up to 5 sample role titles in hiring_roles, and the careers page in hiring_jobs_url. not_read means we could not check, not "not hiring"; the reason is in hiring_not_read_reason.
• When to use it: recruiting and staffing agencies looking for local firms that are hiring right now, and sales teams who want a timely reason to get in touch ("you are hiring three technicians").
• Cost: the add-on adds no Google Maps charge. You pay only the Job Feed actor's own events (and the website and career-site extractors it calls) in your account. In our sample of 40 Swiss and German companies with the default cap of 5 roles, a place that is hiring cost about $0.035 to $0.05, the worst case was about $0.073 per place, and places that could not be read cost about $0. Places without a website, or whose website is a directory or social profile, are never sent and are not charged.
• Limits: hiringSignalsMaxPlaces (default 50, up to 500) caps how many places are checked per run; the rest come back as not_read. Expect roughly 6 to 10 extra minutes for up to 50 checked places. Career sites that only work in a browser are skipped unless you turn on hiringBrowserFallback, which is slower and costs more.

Integrations

• n8n / Make / Zapier — trigger runs and process results via webhook
• AI Agents (MCP) — Claude Desktop, Cursor, VS Code, LangChain, LlamaIndex
• Python / Node.js — Apify SDK for programmatic access
• Google Sheets / Airtable — export via Apify integrations

Run this actor directly on Apify (no code)

Click Open on Apify above to run google-maps-scraper in your browser - no code, no install. In the Apify console you get:

• One-click test - fill in the input form, or paste the JSON example above into the JSON editor tab, then hit Start.
• Live output - watch rows stream into an interactive Output table as they arrive, or flip to the raw JSON / Log view.
• Export in any format - one click to download the dataset as JSON, CSV, XML, Excel, HTML table, RSS, or JSONL.
• Schedules - run this actor daily, weekly, hourly, or on a custom cron. Apify handles timing and stores every dataset run.
• Integrations & webhooks - fire a webhook on success/failure, or plug into Zapier, n8n, Make, Airbyte, Google Sheets, Slack, S3, Postgres, and more from the Actions tab.
• Transparent cost - see exact usage against your $5/month free tier before you spend a cent.

Get your Apify API token

To run this actor from your own code you need an Apify API token. Get one in about a minute:

1. Sign up for a free Apify account (Google, GitHub, or email).
2. Go to Settings → Integrations → API tokens.
3. Click Create a new API token. Copy it and keep it secret.

Free tier: Apify credits your account with $5 of platform usage every month, no credit card required. Enough to test any actor meaningfully. How many results that covers depends on the actor's price per result.

Call from code

Run this actor from any language via the Apify REST API. Replace YOUR_TOKEN with your API token and adapt the input JSON to your needs.

curl -X POST "https://api.apify.com/v2/acts/santamaria-automations~google-maps-scraper/run-sync-get-dataset-items?token=YOUR_TOKEN" \
  -H "Content-Type: application/json" \
  -d '{}'

// npm install apify-client
import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_TOKEN' });
const run = await client.actor('santamaria-automations/google-maps-scraper').call({});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

# pip install apify-client
from apify_client import ApifyClient

client = ApifyClient('YOUR_TOKEN')
run = client.actor('santamaria-automations/google-maps-scraper').call(run_input={})
items = list(client.dataset(run['defaultDatasetId']).iterate_items())
print(items)

// dotnet add package Apify.Client
using Apify.Client;

var client = new ApifyClient("YOUR_TOKEN");
var run = await client.Actor("santamaria-automations/google-maps-scraper").CallAsync(new { });
var items = await client.Dataset(run.DefaultDatasetId).ListItemsAsync();

// Maven: com.apify:apify-client
import com.apify.client.ApifyClient;

ApifyClient client = new ApifyClient("YOUR_TOKEN");
ActorRun run = client.actor("santamaria-automations/google-maps-scraper").call(Map.of());
List<Map<String,Object>> items = client.dataset(run.getDefaultDatasetId()).listItems();

Use with AI agents (MCP)

This actor is available on the Apify MCP server, so you can drive it from any MCP-compatible AI client - Claude Desktop, Claude.ai, Cursor, VS Code, LangChain, LlamaIndex, or a custom agent - without writing any code.

https://mcp.apify.com?tools=santamaria-automations/google-maps-scraper

Example prompt once connected:

"Use <code>google-maps-scraper</code> to run a scrape on my target list and give me the results as a table."

Clients that support dynamic tool discovery (Claude.ai, VS Code) receive the full input schema automatically via add-actor.

Use with no-code platforms

Trigger this actor from your favorite automation tool. Every platform below can call the Apify API in a few clicks - no code required.

FAQ

Related actors in this category

Related tutorials

• How to Scrape Google Maps with n8n (and Send Results to Google Sheets) - Step-by-step tutorial for the google-maps-scraper actor.
• Google Maps Reviews Scraper: Extract All Reviews at Scale - Step-by-step tutorial for the google-maps-scraper actor.
• How to Use a Google Maps Scraper to Extract Business Leads and Contact Data - Step-by-step tutorial for the google-maps-scraper actor.
• Comment scraper Google Maps - Step-by-step tutorial for the google-maps-scraper actor.
• How to Get Google Maps Data Without the Places API - Step-by-step tutorial for the google-maps-scraper actor.

Last verified run: 2026-11-01 · Actor v5.10.18 · Maintained by NanoScrape (santamaria-automations on Apify)