Get data from Google Places, which official Google Maps Places API does not provide.
You can use official Google Maps Places API, it is better way for the most use cases.
Unlike Google Maps Places API you can get from crawler:
- Popular place times histogram (There is no data for that in official API)
- Place reviews (you can get up to 5 reviews from official API)
- Place photos (you can can up to 10 photos from official API)
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
searchString- String will be search on Google mapsproxyConfig- Apify proxy configurationlat- Use it with combination with longitude and zoom to set up viewport to search on.lng- Use it with combination with latitude and zoom to set up viewport to search on.zoom- Viewport zoom, e.g zoom: 10 -> https://www.google.com/maps/@50.0860729,14.4135326,10z vs zoom: 1 -> https://www.google.com/maps/@50.0860729,14.4135326,10zmaxCrawledPlaces- Limit places you want to get from crawler
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"
}