Google Maps Scraper

Overview

This Actor scrapes business and location data from Google Maps. It's designed for extracting structured information like names, addresses, ratings, and contact details based on search queries.

Key Features

• Scrapes places, businesses, and locations from Google Maps.
• Supports multiple countries and languages via gl and hl parameters.
• Can collect up to 5000 results per run.
• Outputs data directly to an Apify dataset for easy access and export.

How to Use

1. Configure the search using the input parameters (detailed below).
2. Run the Actor. It will process the search and collect results.
3. The results are saved to your Apify dataset. You can download them in various formats (JSON, CSV, Excel, etc.) from the Storage tab.

Input Parameters

Configure the Actor using these input fields:

• maxItems: The maximum number of results to collect. Accepts values from 20 to 5000.
• query: The search term (e.g., "pizza", "hotels in London").
• gl: The Google country code to localize results (e.g., "us" for United States).
• hl: The interface language for the search (e.g., "en" for English).
• nfpr: Disables automatic spelling correction. Use 1 for yes, 0 for no.

Input Example

{
  "maxItems": 100,
  "query": "pizza"
}

Output

The Actor returns an array of objects, with each object containing details for a specific place. Data is saved to your dataset and can be downloaded.

Typical output fields include:
* title: Business name.
* address: Physical address.
* rating: Average user rating.
* reviews: Number of reviews.
* category: Primary business category.
* gps_coordinates: Object containing latitude and longitude.
* extensions: Array of additional labels and information.

Output Sample

[
  {
    "title": "Wild Pepper Pizza",
    "data_cid": "2781359009394505507",
    "gps_coordinates": {
      "latitude": 40.7524122,
      "longitude": -111.8879737
    },
    "address": "Salt Lake City, UT",
    "rating": 3.6,
    "reviews": 609,
    "category": "Pizza",
    "position": 1
  }
]