Telegram Channel Scraper — Posts, Views & Engagement

Extract posts, view counts, subscriber numbers, and engagement metrics from public Telegram channels with high speed. Pure HTTP via t.me/s/ public preview — no API key, no session token, no login required.

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What does Telegram Channel Scraper do?

Telegram Channel Scraper extracts posts, views, channel metrics, and media content from public Telegram channels via public web preview.

It serves as a fast, reliable, and lightweight alternative to Telegram API credentials for competitor analysis, channel monitoring, trend detection, content aggregation, and market research.

• Extract Posts & Metrics: Scrape post IDs, text content, publication timestamps, view counts, and calculated engagement rates (% of subscribers viewing posts).
• Channel Overview: Extract total subscriber counts, channel title, description/bio, profile photo, and official verification status.
• Media & Attachments: Detect photos, videos, documents, and external link previews, along with direct media asset URLs.
• Dynamic Dataset Outputs: Export clean JSON, CSV, Excel, HTML, or XML datasets dynamically based on your INPUT.json configuration.

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Why use Telegram Channel Scraper?

• Zero Credentials Needed: Operates completely via public web preview (t.me/s/) without requiring API_ID, API_HASH, or phone logins.
• Blazing Fast Speed: Built on Cheerio HTTP parsing without browser automation overhead — scrape hundreds of channel posts in seconds.
• Automatic Pagination: Automatically paginates backwards through channel history to fetch up to your specified maxPosts limit.
• Engagement Rate Analysis: Automatically calculates post reach and engagement rates ((views / subscribers) * 100) for data-driven channel benchmarking.
• Apify Integration: Run on schedules, trigger via Webhooks, or consume via Apify REST API.

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What data can Telegram Channel Scraper extract?

Post Output Fields

Field Name	Type	Description
itemType	String	Data type identifier ("post")
channelUsername	String	Telegram channel handle (e.g. durov)
channelTitle	String	Channel display title
postId	Integer	Unique numeric post ID
postUrl	String	Direct web URL to the post (e.g. https://t.me/durov/215)
publishedAt	String	ISO 8601 publication timestamp
text	String	Clean plain text message content
html	String	Formatted HTML content of the post
views	Integer	Numeric view count
viewsFormatted	String	Formatted view count string (e.g. 15.2K, 1.2M)
subscriberCount	Integer	Total subscriber count of the channel
subscriberCountText	String	Formatted subscriber text
engagementRate	Float	Calculated view-to-subscriber percentage (views / subscribers * 100)
hasPhoto	Boolean	true if post contains images
hasVideo	Boolean	true if post contains video files
hasDocument	Boolean	true if post contains downloadable documents
hasLinkPreview	Boolean	true if post includes a web link preview card
mediaUrls	Array	Direct URLs to attached photo/video assets
isVerified	Boolean	true if channel has Telegram's verified badge
telegramUrl	String	Public web URL for channel (https://t.me/durov)
scrapedAt	String	ISO 8601 timestamp when data was extracted

Channel Summary Fields (itemType: "channel_summary")

Field Name	Type	Description
channelUsername	String	Telegram handle
channelTitle	String	Display title
description	String	Channel bio / description
subscriberCount	Integer	Numeric subscriber count
subscriberCountText	String	Formatted subscriber count
isVerified	Boolean	Verification status
photoUrl	String	Channel profile photo URL
telegramUrl	String	Channel URL

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Input Parameters

Parameter	Type	Default	Description
channels	Array	["durov", "telegram"]	List of channel handles or URLs
channelList	String	""	Alternative newline-separated channel list
maxPosts	Integer	50	Max posts per channel to extract
outputType	String	"all"	Output dataset mode ("posts", "channel_summary", "all")
includeChannelInfo	Boolean	true	Embed channel title & subscriber count in each post
proxyConfiguration	Object	{}	Apify proxy configuration
maxConcurrency	Integer	10	Maximum parallel requests
debugLog	Boolean	false	Enable verbose debug logging

Example INPUT.json

{
  "channels": [
    "durov",
    "https://t.me/techcrunch"
  ],
  "maxPosts": 50,
  "outputType": "all",
  "includeChannelInfo": true,
  "debugLog": false
}

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Output Example

[
  {
    "itemType": "channel_summary",
    "channelUsername": "durov",
    "inputUrl": "durov",
    "channelTitle": "Durov's Channel",
    "description": "Thoughts from Pavel Durov, founder of Telegram.",
    "subscriberCount": 11340520,
    "subscriberCountText": "11 340 520 subscribers",
    "isVerified": true,
    "photoUrl": "https://cdn4.cdn-telegram.org/file/...",
    "telegramUrl": "https://t.me/durov",
    "scrapedAt": "2026-08-06T14:50:00.000Z"
  },
  {
    "itemType": "post",
    "channelUsername": "durov",
    "channelTitle": "Durov's Channel",
    "subscriberCount": 11340520,
    "subscriberCountText": "11 340 520 subscribers",
    "postId": 215,
    "postUrl": "https://t.me/durov/215",
    "publishedAt": "2026-08-01T15:30:00+00:00",
    "text": "Telegram has surpassed 950 million active users this month.",
    "views": 2400000,
    "viewsFormatted": "2.4M",
    "engagementRate": 21.16,
    "hasPhoto": true,
    "hasVideo": false,
    "hasDocument": false,
    "hasLinkPreview": false,
    "mediaUrls": [
      "https://cdn4.cdn-telegram.org/file/..."
    ],
    "isVerified": true,
    "telegramUrl": "https://t.me/durov",
    "scrapedAt": "2026-08-06T14:50:01.000Z"
  }
]

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How to use Telegram Channel Scraper

1. Enter Channels: Add usernames or URLs in the channels list (e.g. "durov", "@telegram").
2. Set Post Limit: Choose how many recent posts to fetch per channel using maxPosts.
3. Select Output Mode: Set outputType to "posts", "channel_summary", or "all".
4. Run Scraper: Click Start on Apify Console or run locally with apify run.
5. Export Data: Download in JSON, CSV, or Excel format.

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FAQ & Legal Disclaimer

Disclaimer: This Actor extracts data publicly available via Telegram web preview (t.me/s/). It does not bypass private channel access control or extract private user data. Users are responsible for ensuring compliance with applicable data protection regulations (such as GDPR) and terms of service.