# Telegram Channel Monitor — Virality & Keyword Alerts (`bovi/telegram-channel-monitor`) Actor Monitor public Telegram channels with no login: per-post views, virality score (views vs channel median), engagement rate and keyword alerts. A scriptable watch feed for marketers and researchers. Pay per post. - **URL**: https://apify.com/bovi/telegram-channel-monitor.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** Social media, News - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.75 / 1,000 post-monitoreds This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## Telegram Channel Monitor — Virality & Keyword Alerts Monitor **public Telegram channels** with **no login, no bot token, no API key**. The actor reads each channel's public web preview and returns, per post: | Field | Meaning | |---|---| | `views` | View count | | `viral_score` | Views ÷ channel median views — how much a post over-performed | | `is_viral` | `viral_score` ≥ your threshold | | `engagement_rate` | Views ÷ subscribers | | `matched_keywords`, `is_alert` | Keyword watch — flags posts mentioning your terms | | `text`, `posted_at`, `post_url`, media flags | The post itself | | `subscriber_count`, `channel_avg/median/max_views`, `channel_post_count` | Channel context | ### Why this exists Telegram scrapers dump posts. This is a **monitor**: it scores each post's virality against the channel's own baseline and raises **keyword alerts**, so you can watch competitors, track narratives, or trigger a workflow when a topic spikes — without writing the scoring logic yourself. Schedule it and diff runs to catch breakouts as they happen. ### Input ```json { "channels": ["durov", "@telegram", "https://t.me/breakingmash"], "keywords": ["privacy", "launch"], "maxPostsPerChannel": 30, "viralThreshold": 2, "alertsOnly": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` - `channels` — usernames or t.me links. - `keywords` *(optional)* — flag posts containing any term (case-insensitive). - `viralThreshold` — × median views to flag `is_viral` (default 2). - `alertsOnly` — with keywords set, return only matching posts. ### Output One record per post with the fields above. Forwards are not exposed by Telegram's public preview; virality is measured from views vs the channel's own median and subscriber base, which captures forward-driven reach. ### Access & cost $0 access — public web preview only. Runs on your Apify account (RESIDENTIAL proxy by default). Pay per post monitored (PPE). # Actor input Schema ## `channels` (type: `array`): Public channel usernames or t.me links (e.g. "durov", "@telegram", "https://t.me/durov"). ## `keywords` (type: `array`): Optional. Posts containing any keyword are flagged is\_alert=true (case-insensitive). ## `maxPostsPerChannel` (type: `integer`): How many recent posts to read per channel. ## `viralThreshold` (type: `integer`): A post is flagged is\_viral=true when its views are at least this many times the channel median. ## `alertsOnly` (type: `boolean`): When keywords are set, return only the matching posts. ## `proxyConfiguration` (type: `object`): Apify proxy used to reach t.me. Residential is the reliable default; billed to your account. ## Actor input object example ```json { "channels": [ "durov", "telegram" ], "maxPostsPerChannel": 30, "viralThreshold": 2, "alertsOnly": false, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset of posts (channel, views, viral\_score, engagement\_rate, is\_viral, matched\_keywords, is\_alert, text, post\_url). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "channels": [ "durov", "telegram" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/telegram-channel-monitor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "channels": [ "durov", "telegram", ], "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/telegram-channel-monitor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "channels": [ "durov", "telegram" ], "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/telegram-channel-monitor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/telegram-channel-monitor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Telegram Channel Monitor — Virality & Keyword Alerts", "description": "Monitor public Telegram channels with no login: per-post views, virality score (views vs channel median), engagement rate and keyword alerts. A scriptable watch feed for marketers and researchers. Pay per post.", "version": "0.1", "x-build-id": "rFq8uLsw9gpAB4Bdo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~telegram-channel-monitor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-telegram-channel-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~telegram-channel-monitor/runs": { "post": { "operationId": "runs-sync-bovi-telegram-channel-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~telegram-channel-monitor/run-sync": { "post": { "operationId": "run-sync-bovi-telegram-channel-monitor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "channels": { "title": "Telegram channels", "type": "array", "description": "Public channel usernames or t.me links (e.g. \"durov\", \"@telegram\", \"https://t.me/durov\").", "items": { "type": "string" } }, "keywords": { "title": "Alert keywords", "type": "array", "description": "Optional. Posts containing any keyword are flagged is_alert=true (case-insensitive).", "items": { "type": "string" } }, "maxPostsPerChannel": { "title": "Max posts per channel", "minimum": 1, "maximum": 200, "type": "integer", "description": "How many recent posts to read per channel.", "default": 30 }, "viralThreshold": { "title": "Viral threshold (× median views)", "minimum": 1, "maximum": 100, "type": "integer", "description": "A post is flagged is_viral=true when its views are at least this many times the channel median.", "default": 2 }, "alertsOnly": { "title": "Return only keyword alerts", "type": "boolean", "description": "When keywords are set, return only the matching posts.", "default": false }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy used to reach t.me. Residential is the reliable default; billed to your account.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```