Linkly Facebook Messenger

When specific link clicked (instant) in Linkly, sync it to Facebook Messenger.

Notify team members or users on Facebook Messenger when a specific link is clicked in Linkly.

Try:

See all Linkly + Facebook Messenger integrations or talk to a human

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How Knit builds this workflow

The Agent researches both APIs and wires the trigger on one side to the action on the other — no pre-built connector required. Here is the vocabulary it has to work with.

Linkly Explore Linkly →

Triggers
New link clicked

Fires when a shortened link created in Linkly is clicked.

New link created

Fires when a new shortened link is created in Linkly.

Actions
Shorten a URL

Creates a new shortened link in Linkly.

Add tags to a link

Tags a link's record in Linkly for tracking.

Look up click stats

Retrieves click analytics for a link in Linkly.

Facebook Messenger Explore Facebook Messenger →

Triggers
New message posted

Fires when a new message is posted to a channel in Facebook Messenger.

New channel created

Fires when a new channel is created in Facebook Messenger.

Mentioned in a message

Fires when your team or a keyword is mentioned in Facebook Messenger.

New file shared

Fires when a new file is shared in Facebook Messenger.

Actions
Send channel message

Posts a message to a channel in Facebook Messenger.

Send direct message

Sends a direct message to a specific person in Facebook Messenger.

Add reaction

Reacts to a message in Facebook Messenger.

Invite user to channel

Adds a user to a channel in Facebook Messenger.

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FAQ

Common questions

Can Knit build “When specific link clicked (instant) in Linkly, sync it to Facebook Messenger.” between Linkly and Facebook Messenger?

Yes — describe it in the box above and Knit's Integrations Agent researches Linkly and Facebook Messenger's public API docs (or your own uploaded docs) and builds a working workflow, whether or not either app already has a pre-built connector.

How long does it take to build?

Minutes to a first working version, not weeks — you test it against real data before it goes anywhere near production.

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