Weekly
Track your Business Profile numbers in a sheet every week
Each Monday last week's profile views, calls, website clicks and direction requests are added to your sheet, with a short note on what changed.
- Runs
- Weekly
- Apps
- Google Business Profile, Google Sheets
- AI
- Yes, uses the built-in AI allowance
- Access
- GBP read; Sheets edit
Send this to your assistant
Create a ClickRuntime automation: every Monday, add last week's Business Profile views, calls, website clicks and direction requests to my Profile stats sheet, compare with the previous weeks and email me a short summary.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Google shows Business Profile numbers in a dashboard that is easy to forget and hard to compare over time. Without a weekly record, it is impossible to tell whether a new photo, a promotion or a run of good reviews made any difference to calls and visits.
Owners of local businesses and the agencies that manage their profiles use it to build a simple history of how customers find them, and to notice a drop before it shows up in the till.
What you get out of it
A history you own
Each week becomes a row in your sheet, so you can chart trends and compare seasons without logging in to Google.
Changes explained in plain words
The email points out what went up or down compared with recent weeks, so you do not have to read the numbers yourself.
Easy to share with clients
Agencies can share the sheet or forward the summary as a weekly report.
Spot problems early
A sudden fall in calls or direction requests can mean wrong opening hours or a suspended listing, and a weekly check catches it.
How it works
What happens, step by step
Every Monday, ClickRuntime asks Google for last week's daily numbers for your Business Profile.
It adds up the week and adds one row to your sheet.
It reads the previous weeks from the sheet, and AI writes a short note on what changed.
You get the summary by email.
Before it runs live
- Connect Google Business Profile
- Connect your Google Sheets account and pick the spreadsheets it may use
What you get
Build your own
Need it to work differently?
Your own rules
Conditions, thresholds, filters and exceptions, written the way you'd explain them to a colleague.
Any number of apps
One automation can read from one app and update several others. Over 248 apps are ready, and anything with an API works too.
AI where it helps
Summaries, classification, extraction and drafts use ClickRuntime's built-in AI, with no extra key.
On a schedule or on each event
Runs as often as every 5 minutes, or the moment an app sends an event, and keeps track of what it already handled.
Changes you can ask for
- Run it at a different time, more or less often, or only on weekdays
- Change what the AI looks for, or how it writes the result
- Add another app, for example also send it to Slack
- Combine it with other Google Business Profile and Google Sheets steps into one automation
Under the hood
The code that runs this automation
from datetime import date, timedelta
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from clickruntime import on_trigger, credentials, http, notify, ai
LOCATION_ID = "9876543210"
SHEET_ID = "your-spreadsheet-id"
METRICS = ["BUSINESS_IMPRESSIONS_MOBILE_SEARCH", "BUSINESS_IMPRESSIONS_MOBILE_MAPS", "CALL_CLICKS", "WEBSITE_CLICKS",
"BUSINESS_DIRECTION_REQUESTS"]
@on_trigger
def run(event):
token = credentials.connection("google", "work")
end = date.today() - timedelta(days=1)
start = end - timedelta(days=6)
params = [("dailyMetrics", m) for m in METRICS] + [(f"dailyRange.{k}Date.{p}", getattr(d, p)) for k, d in
(("start", start), ("end", end)) for p in ("year", "month", "day")]
data = http.get(f"https://businessprofileperformance.googleapis.com/v1/locations/{LOCATION_ID}:fetchMultiDailyMetricsTimeSeries",
params=params, headers={"Authorization": f"Bearer {token}"}).json()
totals = {s["dailyMetric"]: sum(int(v.get("value", 0)) for v in s["timeSeries"].get("datedValues", []))
for s in data["multiDailyMetricTimeSeries"][0]["dailyMetricTimeSeries"]}
row = [start.isoformat()] + [totals.get(m, 0) for m in METRICS]
sheets = build("sheets", "v4", credentials=Credentials(token), cache_discovery=False).spreadsheets().values()
history = sheets.get(spreadsheetId=SHEET_ID, range="Profile stats!A2:F").execute().get("values", [])[-8:]
sheets.append(spreadsheetId=SHEET_ID, range="Profile stats!A:F", valueInputOption="RAW", body={"values": [row]}).execute()
note = ai.generate(f"Columns: week, {', '.join(METRICS)}.\nPrevious weeks: {history}\nThis week: {row}\n"
"In three short sentences, say what changed and what might explain it.", max_output_tokens=200).text
notify.email_me(f"Profile week of {start}: {totals.get('CALL_CLICKS', 0)} calls", note)
return {"week": row}FAQ
Common questions
Which numbers are included?
Why weekly rather than daily?
Can it go to Slack instead of email?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
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