# Telegram Channel Scraper - Public Posts, No Login (`logiover/telegram-channel-scraper`) Actor Scrape any public Telegram channel's full post history with no login, bot token or API key. Text, views, dates, media, forwards + channel stats. - **URL**: https://apify.com/logiover/telegram-channel-scraper.md - **Developed by:** [Logiover](https://apify.com/logiover) (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 $1.99 / 1,000 results 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 Scraper — Public Posts, No Login or API Key Scrape the **entire post history of any public Telegram channel** — **no login, no bot token, no API key, no phone number.** This actor reads Telegram's own public web preview at `t.me/s/` and pages backwards through the whole timeline. Perfect for OSINT, crypto‑signal and news monitoring, research, and archiving — without the friction of the official Bot/MTProto APIs (which require tokens, joining the channel, or a phone number). ### What you get per post ```json { "channel": "durov", "channelTitle": "Du Rove's Channel", "channelSubscribers": 1200000, "postId": 512, "url": "https://t.me/durov/512", "text": "Full post text, with newlines preserved…", "date": "2026-05-14T12:38:57+00:00", "views": 2990000, "author": "Pavel Durov", "outboundLinks": ["https://…"], "photos": ["https://cdn4.telegram-cdn.org/file/…"], "hasVideo": false, "linkPreview": { "url": "https://…", "siteName": "…", "title": "…", "description": "…" }, "forwardedFrom": null, "isReply": false, "source": "telegram-channel" } ```` ### Example inputs **Full history of several channels:** ```json { "channels": ["durov", "telegram", "https://t.me/bloomberg"], "maxPostsPerChannel": 0 } ``` **Search inside a channel:** ```json { "channels": ["durov"], "searchQuery": "privacy" } ``` ### Features - 📜 **Full backward pagination** — the channel's whole available history, 20 posts at a time. - 🔎 **In‑channel keyword search** via `searchQuery`. - 👁️ **View counts**, dates, author signatures. - 🖼️ **Media** — photo URLs, video presence, documents, polls. - 🔗 **Link previews** and outbound links parsed out. - ↪️ **Forwards & replies** flagged. - 📊 **Channel metadata** — title and subscriber count on every row. ### Use cases - **Crypto / trading** — archive signal channels and mine calls with view counts. - **News & OSINT** — monitor and back‑fill public channels at scale. - **Brand & topic monitoring** — track mentions across many channels. - **Research & datasets** — build Telegram post corpora keyless. ### Notes & limits - Works only on **public** channels (those with a `t.me/s/` preview). Private channels, groups and bots have no public web preview. - Telegram serves posts 20 at a time; very large channels take many pages — use `maxPostsPerChannel` to cap. - View counts and reactions reflect what the public preview shows. ### FAQ **Do I need a Telegram account, bot token, or API ID?** No. Nothing. It reads the public web preview. **Can it scrape private channels or groups?** No — only public channels with a web preview. **How far back does it go?** As far as the channel's public preview allows — typically the full history. *** *Not affiliated with Telegram. "Telegram" is a trademark of Telegram FZ‑LLC. This tool reads publicly available pages.* # Actor input Schema ## `channels` (type: `array`): Public Telegram channel usernames or t.me links. Example: \['durov', 'telegram', 'https://t.me/durov']. Private channels/groups have no public web preview and cannot be scraped. ## `searchQuery` (type: `string`): If set, returns posts matching this keyword inside each channel instead of the full history. Leave empty to scrape everything. ## `maxPostsPerChannel` (type: `integer`): Cap per channel. 0 = the channel's entire available history (can be thousands of posts). ## `maxItems` (type: `integer`): Hard cap on total posts across all channels. 0 = unlimited. ## `proxyConfiguration` (type: `object`): Proxy settings. OFF by default — t.me/s is a light public endpoint that is fastest over direct egress. Only enable a proxy (Datacenter or Residential) if you scrape very large volumes and start seeing rate limits; the actor then pins one sticky IP per channel. ## Actor input object example ```json { "channels": [ "durov" ], "searchQuery": "", "maxPostsPerChannel": 0, "maxItems": 0, "proxyConfiguration": { "useApifyProxy": false } } ``` # Actor output Schema ## `results` (type: `string`): All posts extracted by this run. Open the Dataset tab to browse, filter, and export as CSV, JSON, or Excel. # 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" ] }; // Run the Actor and wait for it to finish const run = await client.actor("logiover/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"] } # Run the Actor and wait for it to finish run = client.actor("logiover/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" ] }' | apify call logiover/telegram-channel-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=logiover/telegram-channel-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Telegram Channel Scraper - Public Posts, No Login", "description": "Scrape any public Telegram channel's full post history with no login, bot token or API key. Text, views, dates, media, forwards + channel stats.", "version": "0.1", "x-build-id": "5ean3d3m0p4zwvjPD" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/logiover~telegram-channel-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-logiover-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/logiover~telegram-channel-scraper/runs": { "post": { "operationId": "runs-sync-logiover-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/logiover~telegram-channel-scraper/run-sync": { "post": { "operationId": "run-sync-logiover-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", "properties": { "channels": { "title": "Channels", "type": "array", "description": "Public Telegram channel usernames or t.me links. Example: ['durov', 'telegram', 'https://t.me/durov']. Private channels/groups have no public web preview and cannot be scraped.", "items": { "type": "string" } }, "searchQuery": { "title": "Search within channel (optional)", "type": "string", "description": "If set, returns posts matching this keyword inside each channel instead of the full history. Leave empty to scrape everything.", "default": "" }, "maxPostsPerChannel": { "title": "Max Posts Per Channel", "type": "integer", "description": "Cap per channel. 0 = the channel's entire available history (can be thousands of posts).", "default": 0 }, "maxItems": { "title": "Max Items (total)", "type": "integer", "description": "Hard cap on total posts across all channels. 0 = unlimited.", "default": 0 }, "proxyConfiguration": { "title": "Proxy", "type": "object", "description": "Proxy settings. OFF by default — t.me/s is a light public endpoint that is fastest over direct egress. Only enable a proxy (Datacenter or Residential) if you scrape very large volumes and start seeing rate limits; the actor then pins one sticky IP per channel.", "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 } } } } } } } } } } ```