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Analyze restaurant competitors in any city

Scrape restaurants from Google Maps by type and city, then get an AI-powered ranking, strengths breakdown, and strategic market overview.

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Google Maps Scraper
Google Maps Scrapercompass/crawler-google-places
Comparison analysis title
Competitors analyzed
Analysis timestamp
Text
Number
Boolean
List
Object

Input

🔍 Search term(s):restaurants
📍 Location (use only one location per run):Rome, Italy
Max competitors to analyze:20
Enable competitor analysis ($):true

Output fields

Comparison analysis title
Competitors analyzed
Analysis timestamp

How it works

Sign up on Apify or log in

The Google Maps Scraper Actor is ready to run with the inputs already set for "Analyze restaurant competitors in any city". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Analyze restaurant competitors in any city" task

The Google Maps Scraper Actor will start running based on the input automatically. You can also change all the input fields, like 🔍 search term(s), 📍 location (use only one location per run), and more, to match your specific use case.

Receive the "Analyze restaurant competitors in any city" 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 comparison analysis title, competitors analyzed, and analysis timestamp.

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 "Analyze restaurant competitors in any city" task via API.

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Integrate "Analyze restaurant competitors in any city" into your workflow

Connect "Analyze restaurant competitors in any city" with 100+ integrations, or run it via API or MCP.

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Frequently asked questions

The 'analysisTimestamp' provides the date and time when the competitor analysis was generated, formatted in ISO 8601.

The 'comparisonAnalysisTitle' is a descriptive title that explains the specific focus or context of the analysis run.

This task can be scheduled to run automatically through the Apify Console, allowing for regular updates.

The task can be connected to an AI agent via the Apify MCP server, facilitating integration with other applications.