Google Maps Data Scraper

Google Maps Data Scraper

Capture every detail from Google Maps with this powerful Actor! 🌟 Extract an exceptionally rich set of fields, enjoy unmatched speed and stability, and break through Google Maps' 120-item limit. Perfect for lead generation, market research, and data analysis. 🚀

LEAD_GENERATIONTRAVELREAL_ESTATEApify

Google Maps Data Scraper 🌍📍

Break through Google Maps' 120 Listing Limit with this Powerful, Fully Automated Actor! 🚀 Effortlessly scrape any search result data from Google Maps, whether you're looking for restaurants, stores, landmarks, or other businesses. This tool allows you to collect a wealth of relevant information from any search query on Google Maps — no more limitations!


Key Features

  • Breaks Google Maps' Limitations : Get more than just 120 results per keyword search! Our actor bypasses Google Maps' standard limit, delivering results across multiple pages. 🌐
  • Comprehensive Data Collection : Gather detailed business data such as ratings, reviews, pricing, address, hours of operation, phone numbers, and much more! 📊
  • Highly Customizable :
    • Accepts user-provided list of Google Maps links 🌍
    • Flexible search keywords like restaurants, cafes, etc. 🍽
    • Choose a specific location to narrow your search, e.g., New York City 🗽
    • Configure language settings to match your needs 🗣
    • Limit the number of pages to scrape (20 results per page) 📄
  • Reliable & Efficient : Fully automated with stable performance. Our team ensures fast support and rapid fixes in case of any issues! ⚡
  • Scalable for Larger Projects : Whether you're scraping for a few businesses or thousands, this actor is built to scale and provide accurate, real-time data! ⏱

🌍 Example Output

Here’s a sample of the rich data you can collect:

1{
2    "search_string": "cooffe",
3    "title": "Grace Street Coffee & Desserts",
4    "category": "restaurants",
5    "rating": 4.5,
6    "review_count": 3133,
7    "reviews_count_score": {
8        "1_star": 62,
9        "2_star": 67,
10        "3_star": 190,
11        "4_star": 719,
12        "5_star": 2095
13    },
14    "price_range": "$10–20",
15    "price_range_votes": 208,
16    "price_breakdown": {
17        "$1–10": "15%",
18        "$10–20": "65%",
19        "$20–30": "16%"
20    },
21    "full_address": "Grace Street Coffee & Desserts, 17 W 32nd St, New York, NY 10001",
22    "neighborhood": "Manhattan",
23    "street_address": "17 W 32nd St",
24    "city": "New York",
25    "zipcode": "10001",
26    "state": "New York",
27    "country": "US",
28    "latitude": 40.7477172,
29    "longitude": -73.9865302,
30    "phone": "(917) 540-2776",
31    "website": "https://www.bygracestreet.com/",
32    "plus_code_url": "https://plus.codes/P2X7+39 New York",
33    "plus_code": "P2X7+39 New York",
34    "url": "https://www.google.com/maps/place/Grace+Street+Coffee+&+Desserts/data=!4m5!3m4!1s0x89c259a8e1682bf5:0xea388e8841a2955e!8m2!3d40.7477172!4d-73.9865302?authuser=0&hl=en&rclk=1",
35    "google_id": "0x89c259a8e1682bf5:0xea388e8841a2955e",
36    "place_id": "ChIJ9Sto4ahZwokRXpWiQYiOOOo",
37    "business_attributes": [
38        "Identifies as women-owned",
39        "Identifies as Asian-owned"
40    ],
41    "description": "Contemporary coffeehouse offering Asian donuts, waffles, matcha lattes, teas, and espresso drinks.",
42    "about": {
43        "from_the_business": [
44            "Identifies as Asian-owned",
45            "Identifies as women-owned"
46        ],
47        "service_options": [
48            "Has no-contact delivery",
49            "Offers delivery",
50            "Onsite services available",
51            "Offers takeout",
52            "Serves dine-in"
53        ],
54        "highlights": [
55            "Serves great coffee",
56            "Serves great dessert",
57            "Has great tea selection"
58        ],
59        "popular_for": [
60            "Good for solo dining"
61        ],
62        "accessibility": [
63            "No wheelchair accessible entrance",
64            "No wheelchair accessible parking lot",
65            "No wheelchair accessible seating"
66        ],
67        "offerings": [
68            "Serves coffee",
69            "Serves comfort food",
70            "Quick bite",
71            "Serves small plates"
72        ],
73        "dining_options": [
74            "Serves breakfast",
75            "Serves lunch",
76            "Serves dessert"
77        ],
78        "amenities": [
79            "Has restroom"
80        ],
81        "atmosphere": [
82            "Casual",
83            "Cozy",
84            "Trendy"
85        ],
86        "crowd": [
87            "Popular with college students",
88            "Good for groups",
89            "Popular with tourists"
90        ],
91        "planning": [
92            "Usually has a wait",
93            "Doesn't accept reservations"
94        ],
95        "payments": [
96            "Accepts credit cards",
97            "Accepts debit cards",
98            "Accepts NFC mobile payments"
99        ],
100        "children": [
101            "Good for kids"
102        ],
103        "parking": [
104            "Paid street parking",
105            "Difficult to find a space"
106        ]
107    },
108    "photos_count": 5667,
109    "iamges": [
110        "https://lh5.googleusercontent.com/p/AF1QipMUDpCf0I_LLPKpBR1IPFf5Xj_HSH_OS8D6dYGH",
111        "https://lh5.googleusercontent.com/p/AF1QipOuUMT90SE_XkIHZ-52PHgn7GgQ6_FklDMWDdGd",
112        "https://lh5.googleusercontent.com/p/AF1QipM01AY8l9MpGXo3YpPOrtIhVqsBeQmhoX5KhBXn",
113        "https://lh5.googleusercontent.com/p/AF1QipMSNledH0KCR4vbSoSw_ODuZBc34TkQ5EiVB1jz",
114        "https://lh5.googleusercontent.com/p/AF1QipNfeA5ogQperUUVNkFlTZ8wyincIFUML9-mrvAW",
115        "https://lh5.googleusercontent.com/p/AF1QipMOkFAVpCkNnJ4Qvg4BxRxjafl_Dm8VY_z1erE3",
116        "https://lh5.googleusercontent.com/p/AF1QipOM-eCz1dyJL1ehFjr_Z33C1BKB9van9T1FKqS4",
117        "https://lh5.googleusercontent.com/p/AF1QipM2c0P2QDWDHf_Wt5Wc8a7qKCR7GbDySk_jKA1J",
118        "https://lh5.googleusercontent.com/p/http://t2.gstatic.com/images?q=tbn:ANd9GcQNqnqG2MrnLA0Bx32qGHfrAEATzK-ETi34buJn_SzG2pxtEtu1",
119        "https://lh5.googleusercontent.com/p/AF1QipPcc7cg45CnPTu50qbGbmInuS43UOaG5Xqvytn2",
120        "https://lh5.googleusercontent.com/p/AF1QipO-GwQXeu6NsgVRB94-VY3q8H_eEaiV-nqbJ4g1",
121        "https://lh5.googleusercontent.com/p/http://t2.gstatic.com/images?q=tbn:ANd9GcTlTSIvjdkqPkPXSvthywfxOS7tGFNvCXtgnHF5FOMP5M-35V3q",
122        "https://lh5.googleusercontent.com/p/AF1QipNsY6R0PfOr927I8dAe42fhxoZF0tObbu2-yW8t",
123        "https://lh5.googleusercontent.com/p/AF1QipOEDDR2TmGu9cqbWzOxrTcG--GeEz74TXhbFwlN",
124        "https://lh5.googleusercontent.com/p/AF1QipOD1ao2qWMeInkbZw8pg7wj5iIET9yQkuNB6fs6",
125        "https://lh5.googleusercontent.com/p/http://t0.gstatic.com/images?q=tbn:ANd9GcQ1SrQCTUX32mxwoX29YiIF8jgAUKBDaJsozjzhLKRdxxdQ7pFY",
126        "https://lh5.googleusercontent.com/p/http://t3.gstatic.com/images?q=tbn:ANd9GcTUxHqh88DlCpXQiimUhEoCcMRIkyyPkmp-xdfN9joC-n7i2ktx",
127        "https://lh5.googleusercontent.com/p/AF1QipNsYkFmbRO7D0pmEy4SrIzhw1qXSCtmWzyWg3z6",
128        "https://lh5.googleusercontent.com/p/AF1QipPL5d84QwDTiALpPVmtrfVk5y2-IhvGMTpFIdgX",
129        "https://lh5.googleusercontent.com/p/AF1QipNYZnPONipRpCPAFYr1DGpZ7JEcfNeyXQ0yH3A"
130    ],
131    "review_summary": [
132        "Good selection of dessert foods and drinks like the shaved green tea.",
133        "Good dessert breakfast type foods, and plenty of tables to sit down and eat",
134        "Relaxing coffee shop without all the nimby hipsters wasting space with laptops."
135    ],
136    "review_tags": {
137        "shaved ice": 332,
138        "beignets": 119,
139        "burnt cheesecake": 62,
140        "hotteok": 51,
141        "vietnamese coffee": 31,
142        "mochi waffle": 29,
143        "petal": 28,
144        "buzzer": 19,
145        "cookie monster": 15,
146        "churro waffles": 14
147    },
148    "people_also_search_for": [
149        {
150            "Grace Cafe": {
151                "rating": 4.2,
152                "rating_counts": 254,
153                "url": "https://www.google.com/maps/place/Grace+Cafe/data=!4m5!3m4!1s0x0:0x29191ace0d48f33d!8m2!3d40.7547791!4d-73.991365?authuser=0&hl=en&rclk=1"
154            }
155        },
156        {
157            "Prince Tea House Ktown | Dessert Spot at Fifth Ave": {
158                "rating": 4.5,
159                "rating_counts": 239,
160                "url": "https://www.google.com/maps/place/Prince+Tea+House+Ktown+|+Dessert+Spot+at+Fifth+Ave/data=!4m5!3m4!1s0x0:0x6af3977b63d75459!8m2!3d40.7474797!4d-73.9854969?authuser=0&hl=en&rclk=1"
161            }
162        },
163        {
164            "Little Grace Bakery": {
165                "rating": 4.5,
166                "rating_counts": 64,
167                "url": "https://www.google.com/maps/place/Little+Grace+Bakery/data=!4m5!3m4!1s0x0:0xa653d6d4a1b5d28a!8m2!3d40.747819!4d-73.9865153?authuser=0&hl=en&rclk=1"
168            }
169        },
170        {
171            "COFFEED": {
172                "rating": 4.1,
173                "rating_counts": 29,
174                "url": "https://www.google.com/maps/place/COFFEED/data=!4m5!3m4!1s0x0:0xaaab928bbc20b16c!8m2!3d40.747734799999996!4d-73.9861939?authuser=0&hl=en&rclk=1"
175            }
176        },
177        {
178            "Gregorys Coffee": {
179                "rating": 4.2,
180                "rating_counts": 451,
181                "url": "https://www.google.com/maps/place/Gregorys+Coffee/data=!4m5!3m4!1s0x0:0x8494db20a69513b0!8m2!3d40.746489200000006!4d-73.982579?authuser=0&hl=en&rclk=1"
182            }
183        }
184    ],
185    "current_status": "Closed ⋅ Opens 11 AM",
186    "open_time": [
187        {
188            "Thursday": "11 AM–11:30 PM  2024-12-26"
189        },
190        {
191            "Friday": "11 AM–12 AM  2024-12-27"
192        },
193        {
194            "Saturday": "11 AM–12 AM  2024-12-28"
195        },
196        {
197            "Sunday": "11 AM–11 PM  2024-12-29"
198        },
199        {
200            "Monday": "11 AM–11 PM  2024-12-30"
201        },
202        {
203            "Tuesday": "11 AM–10 PM  2024-12-31"
204        },
205        {
206            "Wednesday": "11 AM–11 PM  2025-01-01"
207        }
208    ],
209    "popular_times_monday": {
210        "6 AM": "0% busy",
211        "7 AM": "0% busy",
212        "8 AM": "0% busy",
213        "9 AM": "0% busy",
214        "10 AM": "0% busy",
215        "11 AM": "17% busy",
216        "12 PM": "20% busy",
217        "1 PM": "21% busy",
218        "2 PM": "26% busy",
219        "3 PM": "27% busy",
220        "4 PM": "30% busy",
221        "5 PM": "30% busy",
222        "6 PM": "39% busy",
223        "7 PM": "44% busy",
224        "8 PM": "49% busy",
225        "9 PM": "47% busy",
226        "10 PM": "40% busy",
227        "11 PM": "0% busy"
228    },
229    "popular_times_tuesday": {
230        "6 AM": "0% busy",
231        "7 AM": "0% busy",
232        "8 AM": "0% busy",
233        "9 AM": "0% busy",
234        "10 AM": "0% busy",
235        "11 AM": "15% busy",
236        "12 PM": "23% busy",
237        "1 PM": "24% busy",
238        "2 PM": "28% busy",
239        "3 PM": "31% busy",
240        "4 PM": "34% busy",
241        "5 PM": "38% busy",
242        "6 PM": "41% busy",
243        "7 PM": "49% busy",
244        "8 PM": "56% busy",
245        "9 PM": "58% busy",
246        "10 PM": "0% busy",
247        "11 PM": "0% busy"
248    },
249    "popular_times_wednesday": {
250        "6 AM": "0% busy",
251        "7 AM": "0% busy",
252        "8 AM": "0% busy",
253        "9 AM": "0% busy",
254        "10 AM": "0% busy",
255        "11 AM": "19% busy",
256        "12 PM": "24% busy",
257        "1 PM": "25% busy",
258        "2 PM": "24% busy",
259        "3 PM": "29% busy",
260        "4 PM": "34% busy",
261        "5 PM": "42% busy",
262        "6 PM": "52% busy",
263        "7 PM": "59% busy",
264        "8 PM": "61% busy",
265        "9 PM": "52% busy",
266        "10 PM": "38% busy",
267        "11 PM": "0% busy"
268    },
269    "popular_times_thursday": {
270        "6 AM": "0% busy",
271        "7 AM": "0% busy",
272        "8 AM": "0% busy",
273        "9 AM": "0% busy",
274        "10 AM": "0% busy",
275        "11 AM": "17% busy",
276        "12 PM": "23% busy",
277        "1 PM": "28% busy",
278        "2 PM": "30% busy",
279        "3 PM": "31% busy",
280        "4 PM": "33% busy",
281        "5 PM": "41% busy",
282        "6 PM": "49% busy",
283        "7 PM": "60% busy",
284        "8 PM": "68% busy",
285        "9 PM": "69% busy",
286        "10 PM": "57% busy",
287        "11 PM": "35% busy"
288    },
289    "popular_times_friday": {
290        "6 AM": "0% busy",
291        "7 AM": "0% busy",
292        "8 AM": "0% busy",
293        "9 AM": "0% busy",
294        "10 AM": "0% busy",
295        "11 AM": "20% busy",
296        "12 PM": "25% busy",
297        "1 PM": "27% busy",
298        "2 PM": "29% busy",
299        "3 PM": "34% busy",
300        "4 PM": "45% busy",
301        "5 PM": "57% busy",
302        "6 PM": "66% busy",
303        "7 PM": "78% busy",
304        "8 PM": "88% busy",
305        "9 PM": "93% busy",
306        "10 PM": "88% busy",
307        "11 PM": "69% busy"
308    },
309    "popular_times_saturday": {
310        "6 AM": "0% busy",
311        "7 AM": "0% busy",
312        "8 AM": "0% busy",
313        "9 AM": "0% busy",
314        "10 AM": "0% busy",
315        "11 AM": "17% busy",
316        "12 PM": "28% busy",
317        "1 PM": "41% busy",
318        "2 PM": "49% busy",
319        "3 PM": "54% busy",
320        "4 PM": "58% busy",
321        "5 PM": "61% busy",
322        "6 PM": "69% busy",
323        "7 PM": "78% busy",
324        "8 PM": "90% busy",
325        "9 PM": "100% busy",
326        "10 PM": "99% busy",
327        "11 PM": "87% busy"
328    },
329    "popular_times_sunday": {
330        "6 AM": "0% busy",
331        "7 AM": "0% busy",
332        "8 AM": "0% busy",
333        "9 AM": "0% busy",
334        "10 AM": "0% busy",
335        "11 AM": "12% busy",
336        "12 PM": "25% busy",
337        "1 PM": "38% busy",
338        "2 PM": "50% busy",
339        "3 PM": "55% busy",
340        "4 PM": "53% busy",
341        "5 PM": "55% busy",
342        "6 PM": "57% busy",
343        "7 PM": "65% busy",
344        "8 PM": "67% busy",
345        "9 PM": "64% busy",
346        "10 PM": "50% busy",
347        "11 PM": "0% busy"
348    }
349}

🌟 Why Choose This Actor?

  • Efficient & Fast : No more wasting time with Google Maps’ 120 listing limit! Scrape large datasets without limitations.
  • Highly Customizable : Adjust search terms, location, language, and more to fit your unique needs.
  • Reliable : We ensure stable operations and provide quick fixes in case any issues arise. 📞

📈 How It Can Help

  • Market Research : Perfect for businesses analyzing competitors or tracking market trends.
  • Business Intelligence : Gather valuable business information for data-driven decision-making.
  • Lead Generation : Build a high-quality list of businesses within specific locations or categories.

📚 Use Cases

  • Competitive Analysis : Find out what other businesses in your industry are offering.
  • Market Trends : Track the performance and reviews of competitors' products and services.
  • Real-time Business Data : Continuously monitor ratings, reviews, and other business updates.

🔧 Setup Instructions

  • Enter Google Maps Search URL or keywords .
  • Define Location & Language if necessary.
  • Set Max Pages and begin scraping! 🔥

💬 Get In Touch

For any support or customizations, feel free to reach out! We are here to help. 😊


Looking for more? Check out my other Google Maps scraping solutions:

  1. Google Maps Store Review Scraper - can quickly collect store review information, including but not limited to Store URL, Shop Name, Shop Rating & Review Count, Author Details (Name, Profile Link, Local Guide Status), Review Text, Review Images, and Direct Review Links.

🏷 Tags

Google Maps Scraper, Business Data, Market Research, Competitor Analysis, Business Intelligence, Google Maps API, Data Collection, Business Listings, Restaurant Scraper, Location-based Search


Frequently Asked Questions

Is it legal to scrape job listings or public data?

Yes, if you're scraping publicly available data for personal or internal use. Always review Websute's Terms of Service before large-scale use or redistribution.

Do I need to code to use this scraper?

No. This is a no-code tool — just enter a job title, location, and run the scraper directly from your dashboard or Apify actor page.

What data does it extract?

It extracts job titles, companies, salaries (if available), descriptions, locations, and post dates. You can export all of it to Excel or JSON.

Can I scrape multiple pages or filter by location?

Yes, you can scrape multiple pages and refine by job title, location, keyword, or more depending on the input settings you use.

How do I get started?

You can use the Try Now button on this page to go to the scraper. You’ll be guided to input a search term and get structured results. No setup needed!