Daily
Get a daily email of Reddit brand mentions
Each day you get one email listing every Reddit mention of your brand, with its sentiment and a link.
- Runs
- Daily
- Apps
- Gmail, Reddit
- AI
- Yes, uses the built-in AI allowance
- Access
- Reddit read; Gmail gmail.send
Send this to your assistant
Create a ClickRuntime automation: every morning at 8am, find yesterday's Reddit posts mentioning Acme Analytics, rate each as positive, neutral or negative, and email me the list with links.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Founders and marketers want to know what people say about their brand on Reddit, where opinions are blunt and often rank highly in search. Checking manually is easy to forget, and a monitoring tool can be more than a small company needs.
One daily email with every mention and its sentiment is enough to stay informed. You can reply to complaints, thank fans and notice trends, without checking Reddit every day.
What you get out of it
Nothing slips by
Every mention from the last day is listed, so you are never surprised by a thread a prospect brings up.
Sentiment at a glance
Each mention is marked positive, neutral or negative, so you know where to look first.
One email, once a day
A single daily summary keeps you informed without constant alerts.
Material for the team
Positive mentions are useful for marketing and negative ones for product, and the email is easy to forward.
How it works
What happens, step by step
Every morning ClickRuntime searches Reddit for posts from the last day that mention your brand.
It skips posts already reported in an earlier email.
AI rates each mention as positive, neutral or negative.
The list, with sentiment and links, is emailed to you from your Gmail.
Before it runs live
- Connect Google through your own Google app (a one-time, 10-minute setup), so it works with your own Gmail
- Connect Reddit
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 Gmail and Reddit steps into one automation
Under the hood
The code that runs this automation
import base64
from email.message import EmailMessage
from google.oauth2.credentials import Credentials
from googleapiclient.discovery import build
from clickruntime import on_trigger, credentials, http, state, ai
QUERY, ME = '"Acme Analytics"', "me@example.com"
SCHEMA = {"type": "object", "properties": {"labels": {"type": "array", "items": {"enum": ["positive", "neutral", "negative"]}}}}
def reddit(path, **params):
headers = {"Authorization": "Bearer " + credentials.connection("reddit", "main"), "User-Agent": "clickruntime/1.0"}
return [c["data"] for c in http.get(f"https://oauth.reddit.com{path}", headers=headers, params=params).json()["data"]["children"]]
def send_email(subject, text):
msg = EmailMessage()
msg["To"], msg["Subject"] = ME, subject
msg.set_content(text)
gmail = build("gmail", "v1", credentials=Credentials(credentials.connection("google", "work")), cache_discovery=False)
gmail.users().messages().send(userId="me", body={"raw": base64.urlsafe_b64encode(msg.as_bytes()).decode()}).execute()
@on_trigger
def run(event):
seen = set(state.get("seen") or [])
posts = [p for p in reddit("/search", q=QUERY, sort="new", t="day", limit=50) if p["id"] not in seen]
if not posts:
send_email("Reddit mentions: none yesterday", "No new Reddit posts mentioned Acme Analytics.")
return {"mentions": 0}
listing = "\n".join(f"{i}. {p['title']} | {p['selftext'][:300]}" for i, p in enumerate(posts))
labels = ai.generate(listing, json_schema=SCHEMA, max_output_tokens=200,
system="Give the sentiment toward Acme Analytics for each numbered post, in order.").json["labels"]
lines = [f"[{l}] {p['title']} (r/{p['subreddit']})\nhttps://reddit.com{p['permalink']}" for p, l in zip(posts, labels)]
send_email(f"Reddit mentions: {len(lines)} yesterday", "\n\n".join(lines))
state.set("seen", (list(seen) + [p["id"] for p in posts])[-2000:])
return {"mentions": len(lines)}FAQ
Common questions
Does it find mentions in comments?
What if my brand name is a common word?
What if there are no mentions?
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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