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Latin America business directory scraper

The same Actor across 16 countries in the Americas. It takes a bounding box, not a country, so switching market is a different ISO code and nothing else. Measured in Lima: phone 74.8%, opening hours 80.5%. Countries under GDPR, UK GDPR and LGPD are refused by design — see the README.

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Google Maps Business Scraper — Country-Scale
Google Maps Business Scraper — Country-Scaleoswaldocarabano/google-maps-scraper
Name
Categories
Address
Locality
+9 fields
Text
Number
Boolean
List
Object

Input

Census cell size:1
Maximum tile depth:4
Saturation threshold:190
Request budget:120
Maximum places:300
Maximum concurrency:6
Census only — classify, do not extract:false
Use the shared cache:true
Country(required):PE
Search terms(required):restaurante+1
Custom area (bounding box):{4 fields}

Output fields

Name
Categories
Address
Locality
Phone (E.164)
Website
Rating
Latitude
Longitude
Country
From cache
Data age (h)
Scraped at

How it works

Sign up on Apify or log in

The Google Maps Business Scraper — Country-Scale Actor is ready to run with the inputs already set for "Latin America business directory scraper". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Latin America business directory scraper" task

The Google Maps Business Scraper — Country-Scale Actor will start running based on the input automatically. You can also change all the input fields, like census cell size, maximum tile depth, and more, to match your specific use case.

Receive the "Latin America business directory scraper" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as name, categories, address, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Latin America business directory scraper" task via API.

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Integrate "Latin America business directory scraper" into your workflow

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