Monthly
See your five best TikToks each month
On the 1st you get last month's top five videos by views, with notes on what they have in common.
- Runs
- Monthly
- Apps
- TikTok
- AI
- Yes, uses the built-in AI allowance
- Access
- video.list (must be added)
Send this to your assistant
Create a ClickRuntime automation: on the 1st of every month, email me my 5 most-viewed TikTok videos from the previous month and a few notes on what their captions and topics share.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
A TikTok creator or social manager posts twenty or thirty videos in a month, and by the time the month ends nobody remembers which three did the numbers. Someone has to scroll the video list, copy view counts into a sheet and sort them, and that chore is the first thing dropped when the calendar gets busy. The result is a content plan built on memory and gut feel.
Once a month, this pulls last month's videos from your TikTok account, ranks them by views and sends you an email with the top performers. An AI step reads their titles and descriptions and writes short notes on what they share, such as a hook phrase, a topic or a posting style.
It suits solo creators and small brand teams who want a monthly planning input without a dashboard habit.
What you get out of it
Plan next month from evidence
When the email lists your five most-viewed videos, the monthly content meeting starts with what worked instead of what people vaguely recall, and the calendar can lean toward those topics and formats.
Notes on shared traits
The AI-written notes read the titles and descriptions of the winners and point out repeats, like questions in the opening line or a recurring product, which a plain list of view counts would never show you.
No month-end spreadsheet chore
Nobody has to page through the video list, copy numbers and sort columns. The ranking is already done when the email lands, so the review takes a few minutes instead of an afternoon.
Stop repeating weak formats
Seeing which formats never reach the top five helps you retire them. That frees posting slots for ideas with a track record and saves the effort of producing videos that rarely perform.
A monthly record of winners
Each email is a dated snapshot of your best work. After a few months you can compare them and see whether performance is climbing, and show a client or sponsor exactly what resonated.
How it works
What happens, step by step
At the start of each month, ClickRuntime goes through all the TikTok videos you posted last month.
It ranks them by views and keeps the top five.
AI looks at their titles and descriptions and notes what the best ones have in common.
You get an email with the five videos, their views and links, and the AI's notes.
Before it runs live
- Connect TikTok
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 TikTok steps into one automation
Under the hood
The code that runs this automation
from datetime import datetime, timedelta, timezone
from clickruntime import on_trigger, notify, http, credentials, ai
@on_trigger
def run(event):
auth = {"Authorization": "Bearer " + credentials.connection("tiktok", "main")}
this_month = datetime.now(timezone.utc).replace(day=1, hour=0, minute=0, second=0, microsecond=0)
last_month = (this_month - timedelta(days=1)).replace(day=1)
start, end = last_month.timestamp(), this_month.timestamp()
videos, cursor = [], None
while True:
body = {"max_count": 20, **({"cursor": cursor} if cursor else {})}
data = http.post("https://open.tiktokapis.com/v2/video/list/", headers=auth, json=body,
params={"fields": "id,title,video_description,create_time,view_count,share_url"}).json()["data"]
videos += [v for v in data["videos"] if start <= v["create_time"] < end]
if not data["has_more"] or data["videos"][-1]["create_time"] < start:
break
cursor = data["cursor"]
top = sorted(videos, key=lambda v: v["view_count"], reverse=True)[:5]
listing = "\n".join(f"{v['view_count']:,} views {v['title'] or v['video_description'][:80]}\n{v['share_url']}" for v in top)
notes = ai.generate("In 3 short bullets, what do these top TikTok captions and topics have in common?\n\n" + listing, max_output_tokens=200).text
notify.email_me(f"Top TikToks for {last_month:%B}", f"{listing}\n\nWhat they share:\n{notes}")
return {"videos": len(videos)}FAQ
Common questions
Which TikTok videos count toward the monthly ranking?
Can I rank by likes or shares instead of views?
Does the AI see my video files?
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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