Telegram Channels Scraper

Telegram Channel Parser Actor A Actor that scrapes public Telegram channels using Selenium and Chrome. It extracts channel info (avatar, subscribers, title, description, media/video/link counts, verification) and recent messages, then saves the results to Apify Dataset. Input is a list of channel usernames or links and a message limit. ## Features - Apify SDK for Python — seamless integration with Apify platform (input, dataset, logging) - Selenium + Chrome — robust scraping of Telegram web (bypasses most anti-bot) - Channel info extraction — avatar, subscribers, title, description, media/video/link counters, verification status - Message scraping — collects recent messages with id, date, text, views, author - Flexible input — accepts both @usernames and t.me links - Error handling — logs missing elements, saves debug HTML for troubleshooting ## How it works - Reads input with a list of channels (usernames or t.me links) and messages_limit. - For each channel: - Loads main page (https://t.me/<username>) and preview page (https://t.me/s/<username>) to extract all available info. - Scrapes up to messages_limit recent messages (id, date, text, views, author). - Pushes a single object per channel to the Apify Dataset. ## Input json { "channels": [ { "url": "https://t.me/somechannel" }, { "url": "@anotherchannel" }, { "url": "thirdchannel" } ], "messages_limit": 20 } - channels: List of objects with a url field (can be username, @username, or t.me link) - messages_limit: Max number of messages to collect per channel (0 = skip messages) ## Output Each dataset item is an object like: json { "username": "somechannel", "avatar_url": "https://cdn4.telesco.pe/file/...", "subscribers": 12345, "title": "Channel Title", "verified": true, "description": "Channel description...", "media_count": 100, "video_count": 20, "link_count": 5, "messages": [ { "id": "1234", "date": "2024-06-01T12:34:56+00:00", "text": "Message text", "views": "123", "author": "Admin" } // ... ] }