A local market intelligence skill that extracts sentiment, competitor benchmarks, and reputation insights from Google Maps CSV exports without requiring API keys.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install google-maps-reviews-scraper
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install google-maps-reviews-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Google Maps Reviews Analyzer?
The Google Maps Reviews Analyzer is a specialized skill designed to turn raw Google Maps CSV exports into highly strategic, actionable business intelligence without needing an expensive API key. By parsing user-provided CSV data containing ratings, review counts, and location metadata, this tool delivers deep competitive intelligence, market benchmarks, and reputation insights.
As one of the most practical Openclaw Skills for local businesses and digital marketers, it helps you identify vulnerable competitors, calculate rating-to-review ratios, and benchmark your local search visibility against top-performing establishments in your niche. Whether you are running a localized marketing campaign or conducting market research, this skill simplifies complex data analysis into a structured, executive-ready markdown report.
Google Maps Reviews Analyzer Use Cases
- Benchmarking local business reputation against nearby competitors.
- Identifying vulnerable competitors with high review volumes but low satisfaction scores.
- Building a local SEO action plan to bridge the review gap with market leaders.
- Synthesizing content ideas and marketing copy from positive and negative review trends.
- Extracting sentiment themes and customer pain points from raw review text exports.
How Google Maps Reviews Analyzer Works
- CSV Ingestion: The skill prompts the user for a CSV file containing Google Maps business data, specifically checking for columns like business name, rating, review counts, category, and address.
- Goal Definition: Users specify their business, the type of analysis required (overall market vs. specific competitor deep-dive), and their target action goals.
- Market Benchmarking: The skill processes the CSV to compute market averages, median review counts, ranking tiers, and identify the top local performer.
- Competitive Intelligence Processing: It highlights vulnerable competitors (high reviews, low ratings) and identifies velocity leaders to discover successful review generation strategies.
- Reporting: Generates a structured markdown report including rating benchmarks, competitor weaknesses, and step-by-step recommendation timelines.
Google Maps Reviews Analyzer Setup
To get started with this and other Openclaw Skills, prepare your local environment and download review data from an external source like gmapsscraper.io.
# Ensure your Openclaw agent environment is active
# Create a workspace directory for your scraped CSV files
mkdir -p workspace/reviews-analysis
# Place your downloaded CSV into the directory
mv ~/Downloads/gmaps-export.csv workspace/reviews-analysis/data.csv
No external Google Maps API key is required. Simply feed the raw CSV file to your agent running this skill.
Google Maps Reviews Analyzer Data Schema & Taxonomy
This skill processes tabular business data. Below is the metadata schema required for optimal analysis:
| Column Name | Required/Optional | Description |
|---|---|---|
business_name / title |
Required | Name of the local business |
rating |
Required | Numeric rating (1.0 to 5.0) |
reviews_count |
Required | Total count of reviews received |
category |
Required | Business classification or niche |
address |
Optional | Location details for geographical matching |
review_text |
Optional | Full-text reviews for advanced sentiment processing |
Rating Tiers Used for Segmentation
- Elite (4.8+): Market leaders with exceptional reputation.
- Strong (4.5-4.7): Solid performers with reliable operations.
- Average (4.0-4.4): Underperforming relative to elite competitors.
- Weak (< 4.0): Highly vulnerable businesses facing customer churn.
Google Maps Reviews Analyzer Advanced Features
- Individual Review Text Analysis: Performs word frequency extraction, identifying core praise and complaint phrases directly from raw review text.
- Automated Response Templating: Automatically generates tailored response templates for handling negative customer feedback.
- FAQ Generation: Extracts common customer questions and concerns from review texts to generate website FAQs.
- Seamless Integration with Third-Party Scrapers: Designed to natively ingest output structures from gmapsscraper.io and other popular local search export tools.
SKILL.md
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