🏎 What is Google Maps Extractor?

Google Maps Extractor is a powerful web scraping tool designed for efficiently extracting Google Maps place details. Think of it as an enhanced version of the classic 📍 Google Maps Scraper, optimized for speed and reliability. Just enter your keyword/category/URL and location, and extract data such as price, geolocation, place name, contact info, and more—all at lightning-fast speeds and a predictable price. 🏎💨

🔎 Key Features of Google Maps Extractor

Google Maps Extractor goes beyond the limitations of the Google Maps API, making it possible to:

• 🗝 Scrape multiple Google places by search query.
• 🏛 Scrape Google Maps, e.g., "parking lot" or "bar."
• 📍 Specify Google Maps scraping by location (country, city, county, or zip code).
• 📐 Target specific areas by coordinates for precision scraping.
• 🚀 Bypass the 120-place limit Google Maps usually imposes on each map.
• ⬇️ Export scraped data in formats like Excel, CSV, JSON, and HTML.
• 🦾 API compatibility with Python and Node.js, along with API Endpoints, webhooks, and integration options.

📍 Data Available for Extraction

This tool can extract detailed information, including:

• 🥡 Place name and URL
• 🌍 Country code and phone number
• 🏠 Address (neighborhood, street, city, postal code, state)
• 🌐 Website
• 🧭 Location coordinates
• 🚫 Status (permanently or temporarily closed)
• ⭐ Total rating and review count
• ⏰ Opening hours
• 📧 Emails and social media links

💸 Pricing

Google Maps Extractor operates on a monthly subscription model, starting at $25/month + usage fees. Try it for free with an Apify account.

⬇️ Input

To get started, provide keywords, coordinates, or location details (e.g., city name or full postal address). Here’s an example input for scraping 1,000 parking lots in New York City:

1{
2    "location": "New York, NY, USA",
3    "maxPerq": 1000,
4    "query": [
5        "parking lot"
6    ]
7}

For a complete guide, check the input tab for JSON formatting details.

⬆️ Output Example

Your extracted data will be displayed in a structured table for easy viewing. Here’s an example JSON output of parking lots in New York:

1{
2  "title": "One Parking",
3  "place_id": "ChIJzck2nqlQwokR9ctG4kNT9wU",
4  "data_id": "0x89c250a99e36c9cd:0x5f75343e246cbf5",
5  "data_cid": 429903840461376500,
6  "gps_coordinates": {
7    "latitude": 40.7168205,
8    "longitude": -74.0338512
9  },
10  "provider_id": "/g/1td_cln5",
11  "rating": 3.8,
12  "reviews": 91,
13  "type": "Parking garage",
14  "types": [
15    "Parking garage"
16  ],
17  "address": "10 Exchange Pl, Jersey City, NJ 07302, United States",
18  "open_state": "Open 24 hours",
19  "operating_hours": {
20    "sunday": "Open 24 hours",
21    "monday": "Open 24 hours",
22    "tuesday": "Open 24 hours",
23    "wednesday": "Open 24 hours",
24    "thursday": "Open 24 hours",
25    "friday": "Open 24 hours",
26    "saturday": "Open 24 hours"
27  },
28  "phone": "+1 561-833-7222",
29  "website": "https://oneparking.com/property/10-exchange-place/",
30  "description": {},
31  "thumbnail": "https://lh5.googleusercontent.com/p/AF1QipPHD263UCG8Ie_JnadMMeeFxqQBccRV8jPnz_9m=w138-h92-k-no",
32  "email": [
33    "info@oneparking.com"
34  ],
35  "social_media_links": [
36    "https://www.youtube.com/channel/UCzmBO4aTAMXs68xabzp1hzQ",
37    "https://www.linkedin.com/company/one-parking-inc-/",
38    "https://www.instagram.com/we_oneparking",
39    "https://www.facebook.com/OneParkingInc?fref=ts"
40  ]
41}

For a full preview of fields, check the Storage and Output tabs, and choose the export format that best suits your needs: JSON, CSV, Excel, HTML, or XML.

❓ FAQ

How can I extract data by coordinates?

1. Go to Google Maps and zoom out to the desired area.
2. Use the part of the URL after @ (e.g., @50.7298744,11.0520642,8.96z) to set your coordinates.