Analyze Chicago Pizza Restaurant Reviews for Market Trends
Created by
Crawler Bros
Actor
Google Maps MCP
Scrape a large volume of reviews from a popular Chicago pizza restaurant to identify common customer sentiment and emerging food trends. This provides valuable
Google Maps MCPcrawlerbros/google-maps-mcp
Name
Category
Rating
Review count
+5 fieldsTextNumberBooleanListObject
Input
Scraping Mode(required):reviews
Search Query:pizza restaurant
Location:New York, NY
Maximum Results:5
Place URL:https://www.google.com/maps/place/Lou+Malnati's+Pizzeria/@41.8906927,-87.6293902,17z/data=!3m1!5s0x880e2cb038289417:0x56a5c2d618d45131!4m8!3m7!1s0x880e2cb0383b1a2b:0x5e5b3f7a637a28e9!5m2!4m1!1i2!8m2!3d41.8906734!4d-87.6272015?hl=en
Maximum Reviews:1000
Output fields
Name
Category
Rating
Review count
Address
Phone
Website
Price level
Url
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Start the run02
The Actor will start running based on the input automatically.
Receive the output03
Monitor the progress in real-time. You will be notified as soon as your dataset is complete and ready for review.
Integrate into your workflow04
The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow.
