# Telegram Channel Scraper (No Login) (`jungle_synthesizer/telegram-channel-scraper-nologin`) Actor Scrape public Telegram channel messages without API credentials. Extracts text, media, reactions, views, and channel metadata from t.me preview pages. - **URL**: https://apify.com/jungle\_synthesizer/telegram-channel-scraper-nologin.md - **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community) - **Categories:** Social media, Lead generation, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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.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) Scrape public Telegram channel messages without API credentials. No API key, no phone number, no Telegram account needed. Extracts messages, views, reactions, media URLs, forwarded-from info, and channel metadata from `t.me/s/{channel}` server-rendered preview pages. ### Features - **No credentials required** -- works on any public Telegram channel via server-rendered HTML - **Full message data** -- text, HTML, date, view count, author signature, direct link - **Media extraction** -- photo URLs and video URLs from each message - **Reactions** -- emoji reactions with counts (e.g., thumbs_up 1.26K) - **Forwarded messages** -- source channel name and URL for forwarded posts - **Channel metadata** -- title, description, subscriber count, profile photo URL - **Pagination** -- automatically loads older messages page by page - **Multi-channel** -- scrape multiple channels in a single run ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `channelUsernames` | string[] | `["durov"]` | Channel usernames to scrape (without @) | | `maxItems` | integer | `50` | Max messages per channel (0 = no limit) | | `includeChannelInfo` | boolean | `true` | Include channel metadata in each record | ### Output Fields Each record contains: | Field | Description | |-------|-------------| | `channelUsername` | Channel username (e.g., durov) | | `channelTitle` | Channel display title | | `channelDescription` | Channel description text | | `channelPhotoUrl` | Channel profile photo URL | | `channelSubscribers` | Subscriber count (e.g., 10.2M) | | `messageId` | Numeric message ID | | `messageDate` | ISO 8601 date (e.g., 2026-04-09T14:09:27+00:00) | | `messageText` | Plain text content | | `messageHtml` | HTML-formatted content | | `messageViews` | View count (e.g., 3.69M) | | `messageAuthor` | Post author signature (if enabled on channel) | | `messageLink` | Direct t.me link to the message | | `messageMediaType` | `photo`, `video`, or `none` | | `messageMediaUrl` | URL of attached media | | `messageReactions` | Array of reaction strings (e.g., ["thumbs_up 1.26K", "heart 106"]) | | `messageForwardedFrom` | Source channel name (if forwarded) | | `messageForwardedFromUrl` | Original message URL (if forwarded) | ### Example Output ```json { "channelUsername": "durov", "channelTitle": "Pavel Durov", "channelSubscribers": "10.2M", "messageId": 482, "messageDate": "2026-04-09T14:09:27+00:00", "messageText": "Telegram has reached a milestone...", "messageViews": "2.25M", "messageAuthor": "Pavel Durov", "messageLink": "https://t.me/durov/482", "messageMediaType": "none", "messageMediaUrl": "", "messageReactions": ["thumbs_up 3.77K", "heart 380"], "messageForwardedFrom": "", "messageForwardedFromUrl": "" } ```` ### How It Works 1. Fetches `https://t.me/s/{channel}` which returns the latest ~20 messages as server-rendered HTML 2. Extracts message data using CSS selectors (Cheerio) 3. Paginates backwards using `?before={message_id}` to load older messages 4. Stops when `maxItems` is reached or no more messages are available ### Limitations - **Public channels only** -- private channels and groups are not accessible via t.me/s/ - **View counts** -- displayed as formatted strings (e.g., "3.69M"), not raw numbers - **Media** -- extracts URLs but does not download media files - **Reactions** -- returned as formatted strings, not structured objects (per Apify dataset schema rules) - **Rate limiting** -- t.me rate-limits by IP; for large-scale scraping (1000+ messages), consider using proxy rotation ### Cost Pay-per-event pricing: $0.10 per actor start + $0.001 per message scraped. ### Need More Features? If you need additional fields, date range filtering, or a custom scraper for another platform, file an issue or get in touch. We customize scrapers to suit your needs. # Actor input Schema ## `sp_intended_usage` (type: `string`): Please describe how you plan to use the data extracted by this crawler. ## `sp_improvement_suggestions` (type: `string`): Provide any feedback or suggestions for improvements. ## `sp_contact` (type: `string`): Provide your email address so we can get in touch with you. ## `channelUsernames` (type: `array`): Telegram channel usernames to scrape (without the @ symbol). Example: durov, telegram ## `maxItems` (type: `integer`): Maximum number of messages to scrape per channel. Set to 0 for no limit. ## `includeChannelInfo` (type: `boolean`): Include channel metadata (title, description, subscriber count, photo URL) in each message record. ## Actor input object example ```json { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "channelUsernames": [ "durov" ], "maxItems": 50, "includeChannelInfo": true } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "channelUsernames": [ "durov" ], "maxItems": 50, "includeChannelInfo": true }; // Run the Actor and wait for it to finish const run = await client.actor("jungle_synthesizer/telegram-channel-scraper-nologin").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 = { "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "channelUsernames": ["durov"], "maxItems": 50, "includeChannelInfo": True, } # Run the Actor and wait for it to finish run = client.actor("jungle_synthesizer/telegram-channel-scraper-nologin").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 '{ "sp_intended_usage": "Describe your intended use...", "sp_improvement_suggestions": "Share your suggestions here...", "sp_contact": "Share your email here...", "channelUsernames": [ "durov" ], "maxItems": 50, "includeChannelInfo": true }' | apify call jungle_synthesizer/telegram-channel-scraper-nologin --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jungle_synthesizer/telegram-channel-scraper-nologin", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Telegram Channel Scraper (No Login)", "description": "Scrape public Telegram channel messages without API credentials. Extracts text, media, reactions, views, and channel metadata from t.me preview pages.", "version": "1.0", "x-build-id": "KDhwt1udiZfvIzVut" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jungle_synthesizer~telegram-channel-scraper-nologin/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jungle_synthesizer-telegram-channel-scraper-nologin", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jungle_synthesizer~telegram-channel-scraper-nologin/runs": { "post": { "operationId": "runs-sync-jungle_synthesizer-telegram-channel-scraper-nologin", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jungle_synthesizer~telegram-channel-scraper-nologin/run-sync": { "post": { "operationId": "run-sync-jungle_synthesizer-telegram-channel-scraper-nologin", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "channelUsernames" ], "properties": { "sp_intended_usage": { "title": "What is the intended usage of this data?", "minLength": 1, "type": "string", "description": "Please describe how you plan to use the data extracted by this crawler." }, "sp_improvement_suggestions": { "title": "How can we improve this crawler for you?", "minLength": 1, "type": "string", "description": "Provide any feedback or suggestions for improvements." }, "sp_contact": { "title": "Contact Email", "minLength": 1, "type": "string", "description": "Provide your email address so we can get in touch with you." }, "channelUsernames": { "title": "Channel Usernames", "type": "array", "description": "Telegram channel usernames to scrape (without the @ symbol). Example: durov, telegram", "default": [ "durov" ], "items": { "type": "string" } }, "maxItems": { "title": "Max Messages", "type": "integer", "description": "Maximum number of messages to scrape per channel. Set to 0 for no limit.", "default": 50 }, "includeChannelInfo": { "title": "Include Channel Info", "type": "boolean", "description": "Include channel metadata (title, description, subscriber count, photo URL) in each message record.", "default": true } } }, "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 } } } } } } } } } } ```