Google Maps Crawler

🤖 What does Google Maps Crawler do?

Google Maps Crawler is an Apify actor that extracts data about places and reviews from Google Maps. The actor can be used to find related places and reviews for a given starting place.

The actor performs the following steps:

1. Searches for the starting place and downloads its data.
2. Downloads the latest or most relevant reviews for the starting place.
3. Goes through the reviews from step 2 and downloads latest reviews published by the given user. This helps discover other places that the user has visited and reviewed.
4. Downloads data about places related to the reviews from previous steps.

👤 By default reviews are not included in the output, but you can enable them by setting the Include reviews input parameter to true. You should only scrape personal data if you have a legitimate reason to do so, and you should also factor in Google's Terms of Use.

🤔 Why use Google Maps Crawler?

Google Maps Crawler can be used to:

• Crawl large number of places and reviews from Google Maps efficiently.
• Discover places that are related to a selected place.
• Understand the user base who have reviewed a selected place. This can help you understand the user base and their preferences.
• Gather leads or competitors for your business. For example, if you are a restaurant owner, you can use this actor to find users who have reviewed similar restaurants and target them with your marketing campaigns.

💵 How much will it cost me?

This actor returns 1000 related places for $5.00. This is a fixed price that covers platform usage fees. You are charged for the number of places returned, not the number of reviews downloaded. The actor will return unique list of places, so given that two users have reviewed the same place, it will be returned only once, saving you money.

Number of returned results can be tuned by the Place Reviews Max, User Reviews Max and Related places details retrieval ratio in % input parameters. Maximum number of returned results is product of these three parameters.

👉 Example: if you set Place Reviews Max to 500, User Reviews Max to 20 and Related places details retrieval ratio in % to 20, you will get 500 * 20 * 50% = 2000 related places. It will cost you $10.00.

📥 Input

Please provide the following input parameters:

• Place Name - name as seen on Google Maps
• Place Address - address as seen on Google Maps
• Place Reviews Max - maximum number of reviews to download for the starting place. Default is 50
• User Reviews Max - maximum number of reviews to download for each user. Default is 20
• Starting place reviews sorting order - sorting order of reviews for the starting place. Default is 'newest'. Can be 'newest' or 'most_relevant'
• Related places details retrieval ratio in % - ratio of related places to download details for. Default is 100 - download details for all related places
• Include reviews - whether to include reviews in the output. Default is false

📤 Output

1{
2  "google_maps_place_id": "ChIJaXQRs6lZwokRY6EFpJnhNNE",
3  "google_maps_place_internal_id": "0x89c259a9b3117469:0xd134e199a405a163",
4  "name": "Empire State Building",
5  "address": "20 W 34th St., New York, NY 10001, United States",
6  "phone": "+1 212-736-3100",
7  "website": "esbnyc.com",
8  "latitude": 40.7484405,
9  "longitude": -73.98566439999999,
10  "price_category": null,
11  "average_rating": 4.7,
12  "total_reviews": 107671,
13  "categories": [
14    "Historical landmark",
15    "Historical place museum",
16    "Observation deck",
17    "Tourist attraction"
18  ],
19  "photos": [
20    "https://lh5.googleusercontent.com/p/AF1QipNNqUbFH0T0J60lBOqffwoSum-YX2MVGGIJUKw1"
21  ],
22  "description": [
23    "102-story landmark with observatories",
24    "Iconic, art deco office tower from 1931 with exhibits & observatories on the 86th & 102nd floors."
25  ],
26  "is_claimed": true,
27  "owner_id": "117951087160583633334",
28  "similar_places": [
29    {
30      "name": "Empire state building entrance",
31      "latitude": 40.755206799999996,
32      "longitude": -73.9814244
33    },
34    ...
35  ],
36  "attributes": [
37    "/geo/type/establishment_poi/has_onsite_services",
38    ...
39  ],
40  "menu_url": null,
41  "popular_times": [
42    {
43      "name": "Monday",
44      "data": [
45        14,
46        0,
47        0,
48        ...
49      ]
50    }
51  ],
52  "time_wait": [],
53  "has_current_popularity": true,
54  "current_popularity": 35,
55  "time_spent": [
56    120,
57    120
58  ],
59  "timezone": "America/New_York",
60  "opening_hours": [
61    {
62      "day": "Saturday",
63      "open_at_hour": 9,
64      "open_at_minute": 0,
65      "close_at_hour": 1,
66      "close_at_minute": 0
67    },
68    ...
69  ],
70  "is_starting_place": true,
71  "reviews": [
72    {
73      "user": {
74        "google_maps_user_id": "117951087160583633334"
75      },
76      "review": {
77        "rating": 5,
78        "content": {
79          "text": "Vistas magníficas da cidade.",
80          "language": "pt",
81          "translated_en": "Magnificent views of the city."
82        },
83        "answers": {
84          "TTD_DAY_OF_VISIT": "Weekday",
85          ...
86        },
87        "published_at_relative_human_readable": "an hour ago",
88        "photos": [
89          "AF1QipOA0XjGSoFvxumzU9kq1XXiqz0Cb36fsr8Q4QFO",
90          ...
91        ]
92      },
93      "response": {
94        "content": {
95          "text": null,
96          "language": null,
97          "translated_en": null
98        },
99        "published_at_relative_human_readable": null
100      },
101      "likes": 0,
102      "created_at": "2024-08-24T15:31:34.898718"
103    },
104    ...
105  ],
106  "total_scrapped_reviews": 2
107}

❓ FAQ

👨‍⚖️ Is it legal to scrape Google Maps data?

Our scrapers are ethical and do not extract any private user data, such as email addresses, gender, or location. They only extract what the user has chosen to share publicly. We therefore believe that our scrapers, when used for ethical purposes by Apify users, are safe. However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers. You can also read our blog post on the legality of web scraping.