Scrape Restaurant Data by City for Market Research
Given `keywords` (e.g. restaurants) and a `location` (e.g. Austin, TX), this task scrapes restaurants from Google Maps with rating, review_count, price_range, category, full_address, phone, website and popular_times, for market research, competitor density mapping and menu-price benchmarking. `maxCrawlPages` limits how many result pages are crawled.
Input
Output fields
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The Google Maps Scraper - Business Leads, Phones & Websites Actor is ready to run with the inputs already set for "Scrape Restaurant Data by City for Market Research". Sign up or log in and you'll land in Apify Console with a copy of this exact task.
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The Google Maps Scraper - Business Leads, Phones & Websites Actor will start running based on the input automatically. You can also change all the input fields, like search keywords, location, and more, to match your specific use case.
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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 search string, title, category, and more.
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The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Scrape Restaurant Data by City for Market Research" task via API.

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