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Build a Balanced Review Corpus

Extract a small review corpus from one known place for analysis, evidence pages, or citation-backed research workflows.

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Google Maps Reviews Scraper
Google Maps Reviews Scraperkhadinakbar/google-maps-reviews-scraper
Place
Data ID
★
Review
+5 fields
Text
Number
Boolean
List
Object

Input

⭐ Max reviews (whole run):12
📅 Sort reviews by:mostRelevant
🌍 Language:en
Country hint:US
🔍 Search Query (alternative to URLs):Eiffel Tower
📍 Location (with searchQuery):Paris, France

Output fields

Place
Data ID
★
Review
Lang
Published
Sentiment
Owner reply
Link

How it works

Sign up on Apify or log in

The Google Maps Reviews Scraper Actor is ready to run with the inputs already set for "Build a Balanced Review Corpus". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Build a Balanced Review Corpus" task

The Google Maps Reviews Scraper Actor will start running based on the input automatically. You can also change all the input fields, like ⭐ max reviews (whole run), 📅 sort reviews by, and more, to match your specific use case.

Receive the "Build a Balanced Review Corpus" 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 place, data id, ★, 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 "Build a Balanced Review Corpus" task via API.

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Integrate "Build a Balanced Review Corpus" into your workflow

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