Google Places Scraper

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Find any business or point of interest on Google Maps — by free-text query or by coordinates and radius — and export the full place record: name, address, coordinates, rating, phone, website, hours, and reviews.

What you get

• One dataset row per place with placeId, display name, formatted address, latitude/longitude, place types, rating, review count, price level, website, phone numbers, business status, opening hours, and Google Maps URL
• Optional reviews — up to 5 per place with author, rating, text, and timestamps
• Two search modes — Text (free text + optional location bias) or Nearby (lat/lng + radius + types)
• Auto-pagination — Text search fetches up to 60 places per run; resume the next page via NEXT_PAGE_ID
• Localized — request results in any language and bias by region code
• Wall-clock-safe — saves the resume cursor 60s before the actor times out so large runs don't lose progress

Use cases

• Local business directory — pull every coffee shop, dentist, or gym in a city
• Lead generation — extract phone numbers, websites, and addresses for outbound campaigns
• Competitive intelligence — track ratings and review counts of competitors in a region
• Real estate / site selection — count amenities within a radius of a candidate location
• Travel guides & directory sites — build curated lists with addresses, hours, and Google Maps links

How to use

1. Pick a Search mode:
   • Text — type a query like "coffee shops in Brooklyn" or "best ramen Tokyo". Optionally bias with latitude/longitude/radius.
   • Nearby — set latitude, longitude, radius (meters), and optional included place types.
2. (Optional) Set Language code (en, es, fr, …) and Region code (us, gb, de, …) for localized results.
3. Set Max items — Text mode paginates up to 60; Nearby returns up to 20 in a single call.
4. (Optional) Toggle Include reviews to add up to 5 reviews per place.
5. Run — every place appears as its own dataset row.
6. To fetch more Text-search results, copy NEXT_PAGE_ID from the Key-value store tab and paste it into Page ID on the next run. If NEXT_PAGE_ID is null, the list is exhausted.

Place types reference

Use the place-type tokens documented by Google — common ones include restaurant, cafe, bar, gym, hair_care, lodging, tourist_attraction, gas_station, pharmacy, dentist, doctor, hospital, school, bank, atm, supermarket, clothing_store, electronics_store. Stack multiple types in Included place types to broaden the search.

Output schema

Tips

• Text mode is the easiest way to get a city-wide list — Google handles geographic interpretation for you.
• Nearby mode is more deterministic — useful when you want every place inside a precise radius.
• Setting Include reviews materially increases cost-per-place — only enable when you actually need them.
• Phone, website, and hours aren't filled in on every place — small businesses often lack them.
• For large multi-city pulls, run one query per city and resume each via NEXT_PAGE_ID.