Analytics

Pull Google, Bing, and Facebook profile analytics via client.analytics.

All analytics methods live under client.analytics. Methods that take a location_id accept numeric or base64-encoded IDs, see Location IDs.

Date parameters use YYYY-MM-DD strings.

`analytics.google`

Get Google Business Profile analytics for a location (impressions, searches, direction requests, calls, website clicks).

client.analytics.google(
    location_id: str | int,
    *,
    from_date: str | None = None,
    to_date: str | None = None,
) -> APIObject

Python

google = client.analytics.google(
  16808,
  from_date="2025-01-01",
  to_date="2025-12-31",
)
print(google.to_dict())

Get Bing profile analytics for a location.

client.analytics.bing(
    location_id: str | int,
    *,
    from_date: str | None = None,
    to_date: str | None = None,
) -> APIObject

Python

bing = client.analytics.bing(
  16808,
  from_date="2025-01-01",
  to_date="2025-12-31",
)
print(bing.to_dict())

Get Facebook page analytics for a location.

client.analytics.facebook(
    location_id: str | int,
    *,
    from_date: str | None = None,
    to_date: str | None = None,
) -> APIObject

Python

fb = client.analytics.facebook(
  16808,
  from_date="2025-01-01",
  to_date="2025-12-31",
)
print(fb.to_dict())

Review-level analytics (overview, timeline, sites breakdown) live on the client.reviews.analytics sub-resource. See Reviews.