No. It is a ready-to-run cloud tool — set the inputs and click run. Built on Google Maps Scraper.

SF Sushi Restaurants by Rating & Review Count

San Francisco sushi restaurants from Google Maps sorted by rating and review count, an easy way to spot the top-rated players in the area.

Run this use case nowRun on Apify →

How it works

1
Open it on Apify
Hit Run on Apify — it opens the tool in the cloud, no install.
2
Set the inputs
Adjust searchQueries, searchQuery, maxItems (sensible defaults are pre-filled).
3
Click Run
The tool runs on Apify’s cloud and collects the data for you.
4
Export the results
Download as JSON, CSV or Excel, or pipe straight into your app, Google Sheets, or an AI agent.

Inputs

Field	What it does	Type
`searchQueries`	One or more Google Maps searches. Include the location in the text, e.g. "coffee in Brooklyn", "dentists near Eiffel Tower", "hotels Lisbon".	array
`searchQuery`	A single search, if you prefer one box instead of the list above.	string
`maxItems`	How many places to collect per search (the scraper scrolls the results feed to reach this). Note: website and phone are only returned when Google shows them on	integer
`language`	Google Maps interface language code (e.g. en, de, fr, es).	string
`countryCode`	Optional 2-letter country for the residential proxy (e.g. US, GB, DE). Match it to where you're searching for best results.	string
`notionConnector`	Optional. Write each place as a page into your Notion when the run finishes. Authorize a Notion connector once in Settings → API & Integrations → MCP connectors	string
`notionParentId`	Optional. The Notion data source ID of the database to write into (only used if a Notion connector is set). Leave empty to create the pages privately in your wo	string

What you get

A structured dataset — each result includes fields like:

addresscategorycidlatlngnamephoneplaceIdplaceUrlratingreviewCountsearchQuerywebsite

Export every run as JSON, CSV or Excel, or send it to your app, a database, Google Sheets, or an AI agent.

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