An automated workflow to download, filter, and organize PDF documents from Telegram channels into structured local folders.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install telegram-pdf-scraper
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install telegram-pdf-scraper using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Telegram PDF Segregator is a specialized automation tool designed to streamline the retrieval of educational and research materials from Telegram. By integrating with Openclaw Skills, this agent automates the interaction with Telegram Web to identify, download, and categorize PDF files based on message headers. It solves the problem of cluttered download folders by creating a logical directory structure that mirrors the organization of the source channel, making it an essential tool for students and digital archivists.
To deploy this skill within your environment, ensure you are logged into Telegram Web and execute the following command through your terminal:
# Run the segregator by specifying the channel and destination
openclaw run telegram-pdf-segregator --channel_name "Engineering_Books" --download_dir "~/Documents/Library"
The skill organizes downloaded content using a hierarchical structure derived from the Telegram chat context:
| Component | Logic | Description |
|---|---|---|
| Root Directory | User Input | The base path defined in the download_dir parameter. |
| Sub-folders | Message Headers | Folders named according to the text headers found immediately above documents in the chat. |
| Files | Document Filter | Native .pdf files identified as Telegram Document objects. |
| Safety Filter | Domain Blacklist | Hard-coded list to ignore links from unsafe domains like bit.ly or publicearn.in. |
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