Every day at 08:00

Daily digest of new app reviews

Every morning, new reviews from your app's RSS feed are grouped by theme and emailed to you.

Runs: Every day at 08:00
Apps: RSS feeds, Email to you
AI: Yes, uses the built-in AI allowance
Access: Reads public review feeds; email to you

Send this to your assistant

Create a ClickRuntime automation: every morning at 8, read new reviews from our App Store RSS feed, group them by theme with AI and email me the summary.

Paste it into your assistant. It tells you what it will send or change before it runs live.

Add to ChatGPT Add to Claude

First time? Adding ClickRuntime to your assistant takes about two minutes.

Why use it

Why teams use this automation

App store reviews are one of the most honest sources of product feedback, but they arrive one at a time and are easy to ignore. Reading them all takes time, and the patterns, like five people asking for the same feature or a login bug after an update, are hard to see when you skim.

This template reads new reviews every morning, groups them by theme and emails you one short summary with counts and the most useful quotes. You see what customers are saying in two minutes.

What you get out of it

Catch bugs after a release
A cluster of reviews about crashes or login problems shows up the morning after an update, so you can fix it before your rating drops.
Know what to build next
Feature requests are counted, so the roadmap can follow what users ask for most often.
Protect your rating
Spotting and fixing common complaints quickly keeps new one-star reviews from piling up and hurting downloads.
Everyone hears the customer
Forward the digest to product, support and marketing so the whole team shares the same picture of user sentiment.
Less reading
One email replaces scrolling through every review, and nothing is missed because the script remembers which reviews it has seen.

How it works

What happens, step by step

At 08:00 the script reads the review feed and keeps reviews it hasn't seen.
The AI model groups them by theme and counts mentions.
You get one email with the themes and the most useful quotes.

Before it runs live

Nothing to connect. Email to you is built in.

What you get

RunsEvery day at 08:00

Daily digest of new app reviewstoday, 9:00Succeeded

Email · Reviews14 new reviews. Top theme: export to CSV (5 mentions). 2 reports of login loops on iOS 18.

Build your own

Need it to work differently?

This template is a starting point. Copy the prompt and change it, or describe a different automation from scratch, with your own conditions, more apps or an AI step. Your assistant writes it, tests it and runs it on ClickRuntime.

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 RSS feeds and Email to you steps into one automation

Under the hood

The code that runs this automation

This is the Python script that runs each time the automation starts. Your AI assistant writes it for you when you send the prompt, and you allow each step in your assistant. To change how the automation works, describe the change to your assistant and it updates the script for you. For every function it can use, see the script reference.

app_review_digest.pyexample

import feedparser
from clickruntime import on_trigger, state, ai, notify

FEED = "https://itunes.apple.com/us/rss/customerreviews/id=000000000/sortby=mostrecent/xml"

@on_trigger
def run(event):
    seen = set(state.get("seen") or [])
    new = [e for e in feedparser.parse(FEED).entries if e.id not in seen]
    if not new:
        return {"new": 0}
    text = "\n".join(f"- {e.title}: {e.summary[:300]}" for e in new[:50])
    digest = ai.generate(text, system="Group these app reviews by theme. Give counts and one quote per theme.").text
    notify.email_me(f"{len(new)} new reviews", digest)
    state.set("seen", list(seen | {e.id for e in new})[-500:])

FAQ

Common questions

Does it work with Google Play?

Any source with a feed or API works. Ask your assistant to use the Play Console API with a saved key instead.

Does this need an AI account?

No. The grouping uses ClickRuntime's built-in AI. Every plan includes a monthly AI allowance, including the free plan.

Can it send the digest to Slack?

Yes. Connect Slack and ask your assistant to post it to a channel, such as #product or #feedback.

What happens on days with no new reviews?

The script stops without sending anything, so you only get an email when there is something to read.

What permissions does it need?

Reads public review feeds; email to you. Nothing else in your accounts is used.

Does it need AI?

Yes. It uses ClickRuntime's built-in AI, so you don't need an OpenAI or Anthropic key. Every plan includes a monthly AI allowance.

How many runs does it use?

One run each time it runs (every day at 08:00). Checks that find nothing to do and stop right away aren't counted.

Can I change how it works?

Yes. Describe the change to your AI assistant, for example a different schedule, channel or filter. It updates the automation, tests it and tells you what changed.

DailyAI