Apify Telegram

Apify + Telegram Integrations

Put Apify + Telegram to work with AI and enterprise-grade automation

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See the kind of workflows teams build with Apify and Telegram below — describe the exact one you want above and the Agent builds it on demand.

Apify + Telegram When an Apify task run finishes, send a message summary of the results to a Telegram chat.
Notify team channels about software bugs When a new software issue is captured in Apify, automatically send a channel message in Telegram so developers can investigate quickly. See details
Alert developers when deployments finish When a code deployment is tracked in Apify, automatically send a direct message in Telegram to the release owner. See details
Create development issues from chat mentions When a team member is mentioned in a message in Telegram, automatically create a new issue in Apify to track the requested fix. See details

Browse the full workflow library →

Looking to achieve something else with Apify and Telegram?

Just describe what you need — the Agent researches both APIs and builds the real automation on demand.

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Triggers & actions for Apify and Telegram

Everything Apify and Telegram can do inside a workflow — the triggers that start one and the actions that run when it fires.

Apify Explore Apify →

Apify is a web scraping and data extraction platform that automates web data collection using cloud-based bots and AI tools.

Triggers
Finished Actor Run

Triggers whenever a selected Actor is run and finished.

Finished Task Run

Triggers whenever a selected task is run and finished.

Actions
Run Actor

Runs a selected Actor.

Run Task

Runs a selected Actor task.

Set Key-Value Store Record

Creates a new or updates an existing record in a key-value store.

Scrape Single URL

Runs a scraper for the website and returns its content as text, markdown and HTML. This action is made for getting content of a single page, for example, to use in large language models (LLM) flows.

Telegram Explore Telegram →

Telegram is a cloud-based instant messaging platform offering encrypted text messaging, voice calls, broadcast channels, and automated bot integrations.

Triggers
New Message

Triggers instantly when a new message is received by your bot via webhook.

Actions
React to Message

Sets an emoji reaction on an existing message.

Send Message

Sends a message from your bot.

Send Photo

Sends a photo from your bot.

Send Poll

Sends a poll from your bot.

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Customer Stories

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A brilliant tool to let you seamlessly integrate with many different systems. It is very easy to integrate with and customer support is next level.
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Seamless integration experience. Well-documented, self-explanatory APIs, and excellent service and support.
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Product Manager, Onsurity
Easy to integrate. Knit's dashboard is intuitive for setting up and testing integrations, and the sandbox is extremely useful during development.
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GM, Payoneer Workforce Management

#1 in Ease of Integrations

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FAQ

Common questions about Apify + Telegram

Is there a pre-built Apify + Telegram automation?

Not yet, but Knit's Integrations Agent can build one — describe what you want and it researches Apify and Telegram's public API docs (or your own uploaded docs) and builds a working automation.

Does this require a pre-built Apify or Telegram connector?

No. The Agent works whether or not Apify or Telegram already has a pre-built connector in Knit's catalog — it researches the real API surface either way.

How long does it take to build?

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

What are the benefits of linking Apify with Telegram?

Connecting Apify with Telegram keeps your technical team informed in real time by turning software alerts into instant chat messages and enabling quick task creation directly from chat discussions.

Can team messages automatically generate development tasks?

Yes, key chat interactions or user mentions in Telegram can automatically create new software issues in Apify so critical bugs aren't overlooked.

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