Telegram Scraper

A fast and lightweight tool for collecting Telegram profile details and public messages. Designed to reliably extract clean, structured data from public Telegram channels with minimal overhead.

This Telegram scraper helps researchers, analysts, and developers gather profiles and messages at scale without needing the Telegram app.

     

Created by Bitbash, built to showcase our approach to Scraping and Automation!
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Introduction

This project extracts public Telegram profile information and channel messages in a structured and automation-friendly way. It solves the challenge of collecting Telegram data without manual browsing or app access.

It is ideal for analysts, developers, OSINT researchers, and data-driven projects requiring Telegram insights.

Why Use This Telegram Scraper?

• Efficiently gathers both profile metadata and channel posts.
• Handles structured messages including text, replies, and polls.
• Runs quickly while minimizing resource usage.
• Easy to configure with profiles, operation mode, and scrolling duration.
• Designed for reliability with retry and delay controls.

Features

Feature	Description
Profile Extraction	Retrieves username, full name, avatar, follower count, and bio.
Message Scraping	Captures text posts, replies, polls, views, timestamps, and links.
Flexible Operations	Choose between profile-only or profile+messages for performance control.
Scroll-Based Collection	Adjustable scroll time for deeper message retrieval.
Robust Request Handling	Optional retry and delay settings for stable long runs.

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What Data This Scraper Extracts

Field Name	Field Description
username	The Telegram handle of the profile.
fullname	Full display name of the account or channel.
avatar_url	Direct URL to the profile image.
followers	Number of subscribers/followers.
bio	Public biography text.
messages	Array of scraped message objects.
date	Readable date of each message.
fulldate	Full timestamp in ISO format.
description	The text content of the message.
link	URL to the message.
views	Number of views the message received.
poll	Poll metadata if present.
url	Public preview URL of the account.

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Example Output

{
  "username": "@telegram",
  "fullname": "Telegram News",
  "avatar_url": "https://cdn1.cdn-telegram.org/file/MEKEz...",
  "followers": 6870000,
  "bio": "The official Telegram on Telegram. Much recursion. Very Telegram. Wow.",
  "messages": [
    {
      "date": "June 9, 2017",
      "fulldate": "2017-06-09T19:02:40+00:00",
      "description": "If you lost your stickers for a few minutes...",
      "image": "",
      "video": "",
      "preview": "",
      "link": "https://xn--r1a.website/s/telegram/64",
      "views": "2.5M",
      "reply": "",
      "poll": ""
    }
  ],
  "url": "https://xn--r1a.website/s/telegram"
}

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Directory Structure Tree

Telegram/
├── src/
│   ├── runner.py
│   ├── extractors/
│   │   ├── telegram_profile_parser.py
│   │   └── telegram_message_parser.py
│   ├── outputs/
│   │   └── exporters.py
│   └── config/
│       └── settings.example.json
├── data/
│   ├── inputs.sample.txt
│   └── sample.json
├── requirements.txt
└── README.md

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Use Cases

• Researchers collect Telegram messages for sentiment or trend analysis to gain better insights into public discussions.
• Journalists monitor public Telegram channels to track announcements and community updates.
• Data engineers automate Telegram data ingestion into analytics pipelines.
• OSINT investigators gather publicly available Telegram information for intelligence workflows.
• Developers integrate Telegram data into dashboards and monitoring tools.

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FAQs

Q: Does this scraper work with private Telegram channels? A: No. Only public channels with a working “Preview Channel” link are supported.

Q: Can it capture images or videos? A: Message metadata is collected, but full media file downloading is not supported in this version.

Q: What determines how many messages are scraped? A: The scrolltime value controls how long the scraper scrolls through channel history.

Q: How can I prevent rate limits? A: Use proxies and adjust the delay and retries options for stable, long-duration scraping.

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Performance Benchmarks and Results

Primary Metric: Processes typical Telegram profiles in under 2 seconds and scrapes up to several hundred messages per minute depending on scroll settings. Reliability Metric: Consistently achieves over 98% success rate on public channels with proper proxy settings. Efficiency Metric: Minimal resource usage due to lightweight request handling and selective content extraction. Quality Metric: High data completeness for text messages, replies, polls, and metadata with consistent JSON-structured output.

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