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Google Maps Scraper (Apify Actor)

Scrapes Google Maps business search results — name, type, rating, review count, address, phone, and website.

Input

Output

One dataset item per business:

{
"business_name":"Monmouth Coffee Company",
"business_type":"Coffee shop",
"average_rating":"4.5",
"review_count":3069,
"address":"27 Monmouth St, London WC2H 9EU, United Kingdom",
"phone":"+44 20 7232 3010",
"website":"http://www.monmouthcoffee.co.uk/",
"latitude":51.5055334,
"longitude":-0.0914069,
"place_id":"ChIJ94DTm1cDdkgRibmgxzXy2EQ",
"feature_id":"0x4876037c9bd380f7:0x44d8f235c7a0b989",
"google_maps_url":"https://www.google.com/maps/place/?q=place_id:ChIJ94DTm1cDdkgRibmgxzXy2EQ",
"opening_hours":{"Monday":"7:30 am–6 pm"}
}

When scrapeContactDetails is enabled, each item also includes contact fields (found from the business's website; null/empty when the site doesn't list them):

{
"emails":["info@prufrockcoffee.com"],
"facebook":"https://www.facebook.com/Prufrockcoffee",
"instagram":"https://www.instagram.com/prufrockcoffee/",
"twitter":"https://twitter.com/PrufrockCoffee",
"linkedin":null,
"youtube":null,
"tiktok":null,
"pinterest":null
}

When scrapePlaceDetails is enabled, each item is filled out with everything Google publishes for the place — full week hours, pricing, an editorial summary, booking links, and the complete grouped attribute list. Any field Google doesn't publish is simply omitted (e.g. price is absent for banks/museums, menu_url for non-restaurants):

{
"opening_hours":{
"Monday":"11:30 AM–9:30 PM",
"Tuesday":"11:30 AM–9:30 PM",
"Wednesday":"11:30 AM–9:30 PM",
"Thursday":"11:30 AM–10:30 PM",
"Friday":"11:30 AM–10:30 PM",
"Saturday":"11:30 AM–10:30 PM",
"Sunday":"11:30 AM–9:30 PM"
},
"price_level":"$$$$",
"price_description":"Expensive",
"description":"High-end New American meals on 60th floor",
"plus_code":"PX5R+5C New York",
"timezone":"America/New_York",
"menu_url":"https://www.manhattarestaurant.com/restaurant-menu/",
"reservation_url":"https://www.opentable.com/restaurant/profile/1021741",
"order_url":"https://www.ubereats.com/store/...",
"attributes":{
"Service options":["Dine-in","Delivery","Outdoor seating"],
"Accessibility":["Wheelchair accessible entrance","Wheelchair accessible restroom"],
"Offerings":["Alcohol","Coffee","Vegan options","Vegetarian options"],
"Dining options":["Lunch","Dinner","Brunch","Catering"],
"Amenities":["Bar onsite","Restroom","Wi-Fi","Gender-neutral restroom"],
"Atmosphere":["Cozy","Romantic","Upscale"],
"Crowd":["Groups","LGBTQ+ friendly","Tourists"],
"Planning":["Accepts reservations","Reservations required"],
"Payments":["Credit cards","Debit cards","NFC mobile payments"],
"Children":["Good for kids","High chairs","Kids' menu"],
"Parking":["Paid street parking"],
"From the business":["Identifies as women-owned"]
}
}

The attributes groups vary by place type (a museum has Highlights, Crowd, Planning; a shop has Service options, Payments, Recycling, etc.).

When scrapeReviews is enabled (top reviews) or maxReviews is set (up to N reviews), each item includes a reviews array:

{
"reviews":[
{
"author":"Joe Hunt",
"author_review_count":42,
"rating":5,
"relative_time":"2 months ago",
"text":"The guest roast Lumen coffee from Colombia was amazing. Great service too.",
"profile_url":"https://www.google.com/maps/contrib/1234567890"
}
]
}

Run locally

echo'{ "query": "coffee shops", "location": "London" }'\
> storage/key_value_stores/default/INPUT.json
apify run

Results land in storage/datasets/default/. (Add "maxResults": 40 to cap the number of results; omit it to get everything.)

Deploy

apify login
apify push

Monetization (pay-per-event)

The actor emits pay-per-event charge events so the premium enrichments bill only when used. Configure prices for these event names under the actor's Monetization → Pay per event settings in the Apify Console:

Pricing model is pay-per-event with platform usage included (the customer pays only the event prices; compute + proxy are absorbed). The place-details, review and contact-details events run a browser / crawl websites, so their prices are set above raw proxy + compute cost.

The base per-result charge is Apify's built-in apify-default-dataset-item event (billed automatically on dataset writes); the three custom events above meter the premium enrichments on top. Charges are best-effort: until the pay-per-event pricing is configured in the Console, the events are ignored and runs are unaffected.

Notes

• Proxies recommended. The input defaults to the RESIDENTIAL Apify Proxy group; keep it for best results.
• Leave maxResults empty to return all available results; set it to cap the output.