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google-maps-reviews-scraper

Analyzes Google Maps review CSV data for sentiment, trends, and competitive benchmarking.

125|6|Updated May 31, 2026
Search Tags:#data-analysis#csv#reputation#sentiment#competitive-intelligence#review-analysis#google-maps
One-click install
npx skills add https://github.com/gmapsscraper/google-maps-agent-skills --skill google-maps-reviews-scraper
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: google-maps-reviews-scraper
Source: https://github.com/gmapsscraper/google-maps-agent-skills/tree/main/google-maps-reviews-scraper
Command: npx skills add https://github.com/gmapsscraper/google-maps-agent-skills --skill google-maps-reviews-scraper

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze Google Maps review data from CSV exports to derive sentiment, identify trends, and benchmark reputation across competitors.

Core Features & Use Cases

  • Sentiment analysis of reviews
  • Trend detection and reputation insights
  • Competitive benchmarking across businesses
  • No API key required

Quick Start

Upload a CSV export of Google Maps reviews to start sentiment analysis, trend detection, and competitor comparison.

Frequently Asked Questions about google-maps-reviews-scraper

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze Google Maps reviews from a CSV export?▼

Analyze Google Maps reviews from a CSV export by uploading the file to process columns like business_name, rating, and review_text for sentiment trends and competitive benchmarking without needing an API key.

Can I benchmark competitor reputation using Google Maps review data?▼

Yes, you can benchmark competitor reputation using Google Maps review data by processing the CSV to identify sentiment trends and competitive positioning across different businesses.

Do I need an API key to extract sentiment from Google Maps reviews?▼

No, you do not need an API key to extract sentiment from Google Maps reviews; the analysis processes standard CSV columns directly to derive reputation insights and trends.

What CSV columns are required for Google Maps review sentiment analysis?▼

Typical CSV columns required for Google Maps review sentiment analysis include business_name, rating, reviews_count, and review_text to accurately identify trends and competitive positioning.

What is the best way to identify trends in Google Maps review data?▼

The best way to identify trends in Google Maps review data is analyzing the CSV export to detect sentiment patterns and generate action-oriented recommendations for competitive positioning.

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