# Telegram Channel Scraper — Public Posts (`hipersoft/telegram-scraper`) Actor Scrape posts from public Telegram channels: message text, date, views, author, forwards, media flags and links. No login or API key. For social listening, research and monitoring. - **URL**: https://apify.com/hipersoft/telegram-scraper.md - **Developed by:** [hiper soft](https://apify.com/hipersoft) (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 $0.0008 / message scraped 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/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 Scraper — Public Posts, No Login Scrape posts from public Telegram channels into clean structured JSON: message text, date, view count, author, forward info, media flags, and links. Just provide channel usernames or t.me URLs and set how many recent messages you want. No login, no API key. Built for social listening, research, brand monitoring, and OSINT. ### Features - 💬 **Full message records** — `text`, `date`, `views`, `author`, and a direct post `url` for each message. - 🔁 **Forward tracking** — `isForwarded` and `forwardedFrom` reveal reposted content and its source. - 🖼️ **Media flags** — `hasPhoto` and `hasVideo` mark messages carrying images or video/documents. - 🔗 **Extracted links** — every outbound URL in a message is collected in the `links` array. - 📈 **Deep history** — fetch up to 5,000 recent messages per channel via automatic pagination. - 🎯 **Flexible input** — accepts plain usernames (`durov`) or `t.me/...` URLs. - ⚡ **No account needed** — reads the public t.me web preview; works without a proxy. ### What you get Each message is one clean JSON record: ```json { "id": 142, "channel": "telegram", "url": "https://t.me/telegram/142", "text": "Introducing a new feature for channels ...", "date": "2026-07-21T09:30:00+00:00", "views": 1850000, "author": null, "isForwarded": false, "forwardedFrom": null, "hasPhoto": true, "hasVideo": false, "links": ["https://telegram.org/blog"] } ```` ### Input ```json { "channels": ["durov", "t.me/telegram"], "maxItemsPerChannel": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` | Field | Description | | --- | --- | | `channels` | Public channel usernames or `t.me/...` URLs. | | `maxItemsPerChannel` | Most recent messages per channel (up to 5000). | | `proxyConfiguration` | Optional proxy; t.me works without one. | ### Use cases - Monitor public channels for brand mentions and social listening. - Track view counts and posting cadence over time. - Collect links shared by news or community channels. - Build research datasets from public Telegram content. ### Pricing Pay-per-event: you're billed a small amount per run and per item scraped — you only pay for what you get. See the **Pricing** tab for current rates. ### FAQ **Do I need a Telegram account or API key?** No. The Actor reads the public [Telegram](https://telegram.org) t.me web preview of public channels, so it works without any login, API key, or even a proxy. **How many messages can I scrape per channel?** Up to 5,000 of the most recent messages per channel, fetched via automatic pagination. Set the exact number with `maxItemsPerChannel`. **Is scraping Telegram legal?** The Actor accesses only public channel content — never private, member-only, or account-gated messages. It is an independent tool, not affiliated with Telegram Messenger Inc.; use it in line with Telegram's terms and applicable law. **What's the output format?** Clean JSON with one record per message (text, date, views, author, forward info, media flags, links). Export as JSON, CSV, or Excel from the Apify Console or API. **Can I filter or limit results?** Yes. Use `maxItemsPerChannel` to cap how many recent messages are collected, and pass multiple channel usernames or `t.me/...` URLs to scrape several channels in one run. ### Related Actors Extend your social listening and research coverage with: - [Reddit Scraper](https://apify.com/hipersoft/reddit-scraper) — posts, comments, users, and subreddits without login. - [Google News Scraper](https://apify.com/hipersoft/google-news-scraper) — headlines by keyword and topic from Google News RSS. - [Hacker News Scraper](https://apify.com/hipersoft/hacker-news-scraper) — stories, comments, and users from Hacker News. - [Website Contact Scraper](https://apify.com/hipersoft/website-contact-scraper) — extract emails, phones, and social links from websites. ### Notes This Actor reads only the public t.me web preview of public channels — no login or key, and no private or member-only content. It is an independent tool and is not affiliated with, endorsed by, or connected to Telegram Messenger Inc. Scrape public data only. # Actor input Schema ## `channels` (type: `array`): Public Telegram channel usernames or t.me URLs (e.g. durov, t.me/telegram), one per line. ## `maxItemsPerChannel` (type: `integer`): Most recent messages to fetch per channel (~20 per page). ## `proxyConfiguration` (type: `object`): Optional. t.me works without a proxy. ## Actor input object example ```json { "channels": [ "telegram" ], "maxItemsPerChannel": 50, "proxyConfiguration": { "useApifyProxy": false } } ``` # 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": [ "telegram" ] }; // Run the Actor and wait for it to finish const run = await client.actor("hipersoft/telegram-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": ["telegram"] } # Run the Actor and wait for it to finish run = client.actor("hipersoft/telegram-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": [ "telegram" ] }' | apify call hipersoft/telegram-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=hipersoft/telegram-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Telegram Channel Scraper — Public Posts", "description": "Scrape posts from public Telegram channels: message text, date, views, author, forwards, media flags and links. No login or API key. For social listening, research and monitoring.", "version": "1.0", "x-build-id": "K5E6KVO85t0WxuS5I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/hipersoft~telegram-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-hipersoft-telegram-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/hipersoft~telegram-scraper/runs": { "post": { "operationId": "runs-sync-hipersoft-telegram-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/hipersoft~telegram-scraper/run-sync": { "post": { "operationId": "run-sync-hipersoft-telegram-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "channels": { "title": "Channels", "type": "array", "description": "Public Telegram channel usernames or t.me URLs (e.g. durov, t.me/telegram), one per line.", "items": { "type": "string" } }, "maxItemsPerChannel": { "title": "Max messages per channel", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Most recent messages to fetch per channel (~20 per page).", "default": 50 }, "proxyConfiguration": { "title": "Proxy (optional)", "type": "object", "description": "Optional. t.me works without a proxy.", "default": { "useApifyProxy": false } } } }, "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 } } } } } } } } } } ```