Hourly
Know when your Page is tagged or reviewed
You hear about tags and new recommendations within the hour.
- Runs
- Hourly
- Apps
- Facebook Pages
- AI
- Not needed
- Access
- pages_read_engagement, pages_read_user_content
Send this to your assistant
Create a ClickRuntime automation: every hour, check whether my Facebook Page was tagged in a post or got a new recommendation, and email me the text and a link.
First time? Adding ClickRuntime to your assistant takes about two minutes.
Why use it
Why teams use this automation
Facebook now asks people to recommend a business or not, and those recommendations appear on the Page for everyone to see. Tags work the same way: someone posts a photo at your restaurant and tags the Page, and the post can spread through their friends. Both are free publicity or a problem, but Facebook only shows them in notifications that are easy to miss. Missing them costs goodwill and word of mouth.
Every hour, ClickRuntime checks for posts that tag your Page and for new ratings and recommendations since the last check, then notifies you with who wrote it, what it says and a link. The check remembers the last item it saw, so each is reported once.
It suits restaurants, salons, venues and other local businesses where customers talk about visits.
What you get out of it
Thank people while it still matters
A customer who recommends you is most receptive within a day. A thank-you reply or a share from the Page builds loyalty and encourages the person's friends to take notice.
Share good photos quickly
When a customer tags the Page in a photo of your product, reposting it makes a free testimonial. Spotting it the same day keeps the content fresh and relevant. Fresh content from real customers carries more weight than stock photos.
Find negative recommendations early
A not recommended rating stays on the Page. Learning about it within the hour gives you the chance to respond politely and, if appropriate, fix the problem and ask the customer to reconsider.
Learn what customers say about you
Reading mentions together shows what people like and what they complain about. Patterns, such as slow service or a favorite dish, shape decisions better than occasional impressions. Over months, those themes become clear.
Reduce time in Facebook notifications
One alert covers tags and recommendations, so you stop opening the notifications tab to dig for the few items that matter. The rest of the feed can be ignored. That time is better spent replying to people.
How it works
What happens, step by step
Every hour ClickRuntime checks for posts that tag your Facebook Page and for reviews left on it.
It skips anything it has already told you about.
You get one email listing each new tag or review, whether the review recommends you or not, what it says and a link to it.
Before it runs live
- Connect Facebook Pages
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
- Act only on the items that match your own rules, and skip the rest
- Add an AI step, for example to summarize, sort or draft a reply
- Add another app, for example also send it to Slack
- Combine it with other Facebook Pages steps into one automation
Under the hood
The code that runs this automation
from clickruntime import on_trigger, credentials, http, state, notify, report_fetched
G = "https://graph.facebook.com/v21.0"
PAGE_ID = "104857600000000"
def page_token():
user = credentials.connection("facebook", "work")
return http.get(f"{G}/{PAGE_ID}", params={"fields": "access_token", "access_token": user}).json()["access_token"]
@on_trigger
def run(event):
token = page_token()
seen = set(state.get("seen") or [])
tagged = http.get(f"{G}/{PAGE_ID}/tagged", params={"fields": "id,message,permalink_url", "access_token": token}).json()["data"]
ratings = http.get(f"{G}/{PAGE_ID}/ratings", params={"fields": "open_graph_story,review_text,recommendation_type,created_time",
"access_token": token}).json()["data"]
items = [("Tagged", t["id"], t.get("message", ""), t["permalink_url"]) for t in tagged] + \
[(f"Review ({r['recommendation_type']})", r["open_graph_story"]["id"], r.get("review_text", ""),
f"https://www.facebook.com/{r['open_graph_story']['id']}") for r in ratings]
new = [i for i in items if i[1] not in seen]
report_fetched(len(new))
if not new:
return {"summary": "Nothing new"}
notify.email_me(f"{len(new)} new Facebook mention(s)", "\n\n".join(f"{k}: {text}\n{url}" for k, _, text, url in new))
state.set("seen", list(seen | {i[1] for i in new})[-1000:])
return {"new": len(new)}FAQ
Common questions
What counts as a mention?
Does it show the text of a recommendation?
Can I get only the negative ones?
What permissions does it need?
Does it need AI?
How many runs does it use?
Can I change how it works?
Related
You might also like
Get new Page comments in one email
Every hour you get the new comments on your recent posts, each with a link to reply.
See how it worksGet an alert for every negative review
A 'not recommended' review reaches your inbox within the hour, so you can respond before it sits there.
See how it worksSort Page comments and flag complaints
Questions and complaints on your posts reach you within 15 minutes, while praise and spam stay out of your way.
See how it worksKeep exploring
Set up “Know when your Page is tagged or reviewed” from your assistant
Copy the prompt above, or connect your assistant first. Free plan, no credit card.