Telegram Channels Scraper

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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

{
"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:

{
"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"
}
// ...
]
}