Google Places Scraper

drobnikj/crawler-google-places

Extract location details from Google Places that are not provided by Google Maps API, such as reviews, photos and popular times.

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Crawler Google Places

Get data from Google Places that the official Google Maps Places API does not provide.

Why?

The official Google Maps Places API is the best option for most use cases.

But unlike the Google Maps Places API, the crawler can provide:

  • Popular place times histogram (no data for that in official API)
  • Place reviews (up to 5 reviews from official API)
  • Place photos (up to 10 photos from official API)

Usage

If you want to run the actor on Apify platform, you need to have at least a few proxy IPs to avoid blocking from Google. You can use proxy IPs pool on Apify proxy trial or you can subscribe to one of Apify subscription plan. It is recommended to run the actor with at least 8GB memory. On Apify platform with 8GB memory you can get:

  • 100 google place details for 4 compute units
  • 100 google place details with images and reviews for 10 compute units - the usage really depends on how many images and reviews specific places have

INPUT

Follow guide on actor detail page to see how it works.

Example input:

{
  "searchString": "pubs near prague",
  "lat": "50.0860729",
  "lng": "14.4135326",
  "zoom": 10
}

On this input actor searches places on this start url: https://www.google.com/maps/search/pubs+near+prague/@50.0860729,14.4135326,10z

OUTPUT

Once the actor finishes, it outputs results to actor default dataset.

Example results item:

{
  "title": "Scotiabank",
  "totalScore": 3.7,
  "categoryName": "Bank",
  "address": "201 Bishopsgate, London EC2M 3NS, UK",
  "plusCode": "GWCC+75 City of London, London, UK",
  "popularTimesHistogram": {
    "Su": [],
    "Mo": [
      {
        "hour": 6,
        "occupancyPercent": 0
      },
      {
        "hour": 7,
        "occupancyPercent": 0
      },
      {
        "hour": 8,
        "occupancyPercent": 0
      },
      {
        "hour": 9,
        "occupancyPercent": 75
      },
      {
        "hour": 10,
        "occupancyPercent": 73
      },
      {
        "hour": 11,
        "occupancyPercent": 60
      },
      {
        "hour": 12,
        "occupancyPercent": 57
      },
      {
        "hour": 13,
        "occupancyPercent": 56
      },
      {
        "hour": 14,
        "occupancyPercent": 56
      },
      {
        "hour": 15,
        "occupancyPercent": 57
      },
      {
        "hour": 16,
        "occupancyPercent": 50
      },
      {
        "hour": 17,
        "occupancyPercent": 33
      },
      {
        "hour": 18,
        "occupancyPercent": 14
      },
      {
        "hour": 19,
        "occupancyPercent": 4
      },
      {
        "hour": 20,
        "occupancyPercent": 1
      },
      {
        "hour": 21,
        "occupancyPercent": 0
      },
      {
        "hour": 22,
        "occupancyPercent": 0
      },
      {
        "hour": 23,
        "occupancyPercent": 0
      }
    ],
    ...
  },
  "reviews": [
    {
      "name": "NELLORE BALA NAVEEN REDDY",
      "text": "nice  bank in london",
      "stars": "5 stars",
      "publishAt": "2 months ago",
      "likesCount": "",
      "responseFromOwnerText": ""
    },
    ...
  ],
  "reviewsCount": 6,
  "imageUrls": [
    "https://lh5.googleusercontent.com/p/AF1QipPvm-rzo7_mlLRmctQwDJV6agVGHZMUJYLinU_t=s508-k-no",
    ...
    ],
  "url": "https://www.google.com/maps/place/Scotiabank/@51.5258542,-0.335595,11z/data=!4m8!1m2!2m1!1sbanks+london!3m4!1s0x48761cb181573665:0x5fce6a25f2e99723!8m2!3d51.5206306!4d-0.0795672"
}