Telegram Channel Scraper Scraper for Telegram channels via public interface t.me/s/ with residential proxy rotation. ## Features ### Channel Metadata - Channel name - Username (@channel) - Channel description - Avatar/photo URL - Subscriber count - Numeric channel ID - Statistics: photos, videos, files, links ### Post Data - Post ID - Author - Message text - Publication date and time - View count - Forwards from other channels - Replies to posts - Media: photos, videos (URLs) - Links in text ## Input Parameters json { "channels": [ "telegram", "https://t.me/s/ShrikeNews", "shtuchka_intelekt" ], "max_posts": 100, "proxy_configuration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }, "rotate_proxy_per_request": true } ### Parameters: - channels (required): Array of Telegram channels to scrape. Accepts: - Username (e.g., "telegram") - Full URL (e.g., "https://t.me/ShrikeNews") - Public URL (e.g., "https://t.me/s/channel") - max_posts (default: 100): Maximum number of posts to scrape per channel - proxy_configuration (default: RESIDENTIAL): Apify Proxy settings - By default uses residential proxy - rotate_proxy_per_request (default: true): Rotate proxy for each request ## Output Data The actor returns an array of channel objects, one for each channel scraped. Each object contains: - Channel metadata - Array of posts (last_posts) Example output (array with 2 channels): json [ { "url": "https://t.me/s/ShrikeNews", "channel_username": "ShrikeNews", "channel_id": 1505028797, "channel_title": "Shrike News", "channel_description": "News that I find interesting...", "subscribers": 94500, "photos_count": 12100, "videos_count": 4090, "last_posts": [ { "channel": "ShrikeNews", "post_id": "26982", "author": "Shrike News", "text": "Don't get confused...", "datetime": "2025-12-03T19:25:46+00:00", "views": 39900, "photos": ["https://cdn4.telesco.pe/file/..."], "links": ["https://t.me/ShrikeNews/26981"] } ] }, { "url": "https://t.me/s/telegram", "channel_username": "telegram", "channel_id": 1234567890, "channel_title": "Telegram", "subscribers": 500000, "last_posts": [...] } ] ## Memory Settings Recommended: 128 MB The actor is optimized for minimal memory usage. When running via CLI or API use: bash apify run --memory-mbytes=128 ## Usage ### Via Apify Console 1. Open the actor in Apify Console 2. Enter channel list in channels field (e.g., ["telegram", "ShrikeNews"]) 3. Configure other parameters as needed (residential proxy enabled by default) 4. Click Start ### Via CLI bash # Run locally apify run --memory-mbytes=128 # Run on Apify platform apify push apify call <ACTOR_ID> --memory-mbytes=128 ### Via API python from apify_client import ApifyClient client = ApifyClient('YOUR_API_TOKEN') run_input = { "channels": ["ShrikeNews", "telegram", "https://t.me/s/shtuchka_intelekt"], "max_posts": 50 } run = client.actor('<ACTOR_ID>').call( run_input=run_input, memory_mbytes=128 ) # Get results dataset = client.dataset(run["defaultDatasetId"]) items = dataset.list_items().items ## Key Features - ✅ Residential proxies by default - bypasses blocking - ✅ Proxy rotation - new IP for each request - ✅ Realistic headers - mimics real browser - ✅ Complete data extraction - all available content - ✅ Low memory footprint - runs on 128 MB - ✅ Numeric channel ID extraction - extracts real Telegram channel ID ## Limitations - Scrapes only public channels - Post limit determined by max_posts parameter - Requires Apify Residential Proxy for stable operation