# Telegram Channel Scraper (No Login) (`scrapemint/telegram-channel-scraper`) Actor Scrape public Telegram channels: messages with text, date, views, links, media and forward info, plus channel title, description and subscriber count. Paginate as deep as you need. No API key, no phone number. Pay per message. - **URL**: https://apify.com/scrapemint/telegram-channel-scraper.md - **Developed by:** [Ken M](https://apify.com/scrapemint) (community) - **Categories:** Social media, News, Business - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 Scraper (No Login) Export the message history of any public Telegram channel as clean JSON. No API key, no bot token, no phone number, no login. Give it channel usernames or t.me links and it returns one row per message plus a free channel info row with the subscriber count. ### What you get `message` rows (one per message): - `text`, `date` (ISO), `views` (parsed to a number, e.g. `3.4M` becomes `3400000`) - `links` (external URLs in the message), `photoUrls`, `videoUrl`, `hasMedia` - `forwardedFrom`, `forwardedFromUrl` (source channel when the message is a forward) - `messageId`, `url` (direct t.me link), `channel`, `scrapedAt` `channel_info` rows (one per channel, free): - `title`, `description`, `subscribers` (parsed to a number), `photoUrl`, `url` ### Input - `channels` (public channel usernames or t.me links) - `maxMessagesPerChannel` (pagination depth, newest first, about 20 per page) - `maxMessages`, `includeChannelInfo` ### Example input ```json { "channels": ["durov", "https://t.me/telegram"], "maxMessagesPerChannel": 100 } ```` ### Uses - Crypto and finance monitoring: track announcement and signal channels - Brand and OSINT monitoring: watch what public channels say about a topic - News aggregation from Telegram first sources - Competitor channel research: posting cadence, view counts, what gets traction - Archiving public channel history ### Pricing Pay per message row. Channel info rows are free, and so are channels that return nothing (private, preview disabled, or nonexistent). The first 10 message rows of every run are free so you can validate output before you scale up. ### Notes - Works only for PUBLIC channels with web preview enabled, the ones you can open at t.me/s/channelname in a browser. Private channels and most groups are not accessible and cost nothing. - Reactions and comment counts are not part of the public preview, so they are not included. - Requests are paced politely; for very large pulls across many channels supply a proxy in `proxyConfiguration`. - This Actor reads only public data and never logs in. # Actor input Schema ## `channels` (type: `array`): Public channel usernames or t.me links, e.g. durov or https://t.me/telegram. Channels must be public with web preview enabled. ## `maxMessagesPerChannel` (type: `integer`): How deep to paginate each channel (newest first, about 20 messages per page). ## `maxMessages` (type: `integer`): Maximum message rows across all channels. First 10 message rows per run are free. ## `includeChannelInfo` (type: `boolean`): Add one free channel\_info row per channel with title, description, subscriber count and photo. ## `proxyConfiguration` (type: `object`): Optional. The t.me preview pages are a tolerant public source, so proxy is off by default. Supply one only if you run very large pulls and hit rate limits. ## Actor input object example ```json { "channels": [ "durov", "telegram" ], "maxMessagesPerChannel": 100, "maxMessages": 500, "includeChannelInfo": true } ``` # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("scrapemint/telegram-channel-scraper").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", ] } # Run the Actor and wait for it to finish run = client.actor("scrapemint/telegram-channel-scraper").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" ] }' | apify call scrapemint/telegram-channel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=scrapemint/telegram-channel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Telegram Channel Scraper (No Login)", "description": "Scrape public Telegram channels: messages with text, date, views, links, media and forward info, plus channel title, description and subscriber count. Paginate as deep as you need. No API key, no phone number. Pay per message.", "version": "0.1", "x-build-id": "mbJjCQcdMLGXSsPS6" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/scrapemint~telegram-channel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-scrapemint-telegram-channel-scraper", "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/scrapemint~telegram-channel-scraper/runs": { "post": { "operationId": "runs-sync-scrapemint-telegram-channel-scraper", "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/scrapemint~telegram-channel-scraper/run-sync": { "post": { "operationId": "run-sync-scrapemint-telegram-channel-scraper", "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", "required": [ "channels" ], "properties": { "channels": { "title": "Channels", "type": "array", "description": "Public channel usernames or t.me links, e.g. durov or https://t.me/telegram. Channels must be public with web preview enabled.", "items": { "type": "string" } }, "maxMessagesPerChannel": { "title": "Max messages per channel", "type": "integer", "description": "How deep to paginate each channel (newest first, about 20 messages per page).", "default": 100 }, "maxMessages": { "title": "Max messages total", "type": "integer", "description": "Maximum message rows across all channels. First 10 message rows per run are free.", "default": 500 }, "includeChannelInfo": { "title": "Include channel info rows", "type": "boolean", "description": "Add one free channel_info row per channel with title, description, subscriber count and photo.", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional. The t.me preview pages are a tolerant public source, so proxy is off by default. Supply one only if you run very large pulls and hit rate limits." } } }, "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 } } } } } } } } } } ```