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URL: https://apify.com/easyapi/google-maps-scraper

⇱ Google Maps Scraper Β· Apify


Pricing

from $5.00 / 1,000 results

Go to Apify Store

Google Maps Scraper

Powerful Google Maps scraper, collect up to 5000 place results per time, with flexible search options, language support. Perfect for market research, local business discovery, and geospatial data collection. πŸ—ΊοΈπŸ”

Pricing

from $5.00 / 1,000 results

Rating

1.6

(3)

Developer

πŸ‘ EasyApi

EasyApi

Maintained by Community

Actor stats

9

Bookmarked

585

Total users

6

Monthly active users

2 months ago

Last modified

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Google Maps Scraper πŸ—ΊοΈπŸ”

Effortlessly scrape data from Google Maps with this powerful and flexible Actor! πŸš€

Features ✨

  • 🌍 Scrape places, businesses, and locations from Google Maps
  • πŸ”’ Retrieve up to 5000 results per run
  • 🌐 Support for multiple countries and languages
  • πŸ’Ύ Results saved directly to your Apify dataset

Use Cases πŸ’‘

  • πŸ“Š Market research and competitor analysis
  • πŸ™οΈ Local business discovery
  • πŸ—ΊοΈ Geospatial data collection
  • 🏨 Hotel and restaurant information gathering
  • πŸš— Transportation and logistics planning

How It Works πŸ› οΈ

  1. Set your search parameters in the input
  2. Results are processed and saved to your Apify dataset
  3. Repeat until the desired number of results is reached or all available data is collected

Input Parameters πŸ“

  • maxItems: Maximum number of results to collect (20-5000)
  • query: Your search term
  • gl: Google country code (e.g., "us" for United States)
  • hl: Interface language (e.g., "en" for English)
  • nfpr: No auto-correction of spelling (0 or 1)

Output πŸ“Š

The Actor provides detailed information about each place, including:

  • Name
  • Address
  • Rating
  • Number of reviews
  • Phone number
  • Website
  • And more!

Get started with Google Maps Scraper today and unlock valuable location-based insights for your projects! πŸš€πŸ—ΊοΈ

Input Example

A full explanation of an input example in JSON.

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

Output sample

The results will be wrapped into a dataset which you can always find in the Storage tab. Here's an excerpt from the data you'd get if you apply the input parameters above:

And here is the same data but in JSON. You can choose in which format to download your data: JSON, JSONL, Excel spreadsheet, HTML table, CSV, or XML.

[
{
"title":"Wild Pepper Pizza",
"data_cid":"2781359009394505507",
"gps_coordinates":{
"latitude":40.752412199999995,
"longitude":-111.8879737
},
"address":"Salt Lake City, UT",
"sponsored": false,
"extensions":[
"Wild Pepper Pizza",
"3.6(609)",
"$10–20",
"Pizza",
"Salt Lake City, UT",
"Dine-in",
"Takeout",
"No-contact delivery"
],
"rating":3.6,
"reviews":609,
"category":"Pizza",
"position":1
},
{
"title":"Big Daddy's Pizza",
"data_cid":"3321921044144921491",
"gps_coordinates":{
"latitude":40.7516776,
"longitude":-111.8859464
},
"address":"Salt Lake City, UT",
"sponsored": false,
"extensions":[
"Big Daddy's Pizza",
"4.0(1.4K)",
"$10–20",
"Pizza",
"Salt Lake City, UT",
"Take-out & delivery spot with late hours"
],
"rating":4,
"reviews":14000,
"category":"Pizza",
"position":2
},
...
]

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