πΈοΈGuide: Telegram Spider for Script Generation
So, you want to create a realistic chat script, but the thought of writing hundreds of "gm" messages from scratch makes you want to cry? We've been there. That's why we built the Telegram Spider.
The Telegram Spider is a powerful data extraction tool designed to automate the creation of realistic chat scripts. It analyzes public Telegram groups to learn their distinct communication patterns, including language, message frequency, and media usage. The primary output is a pre-formatted .xlsx
spreadsheet, structured for immediate integration with the AICORA Autochat modules.
This allows users to generate high-fidelity, authentic chat activity for community-building and simulation purposes with minimal manual effort.
Think of it as your own private intelligence agent. Its mission is to parachute into any public Telegram group, learn how they talk, and then deliver a ready-to-use chat script directly to you.
β οΈ IMPORTANT: One Mission at a Time!
Before you start the Telegram Spider, you must stop any active Autochat tasks (both for Discord and Telegram).
Due to how our system manages background processes, you cannot run an Autochat and a Spider mission at the same time. If you try, you will see an error in your Running Logs
like the one below, and the Spider will not start.

The best part of Spider? It's already formatted in the exact .xlsx
structure AICORA loves.
You can then take this intel, make a few strategic edits, and deploy it in your own Discord or Telegram community. It's the ultimate shortcut to manufacturing an authentic vibe.
Let's break down the mission parameters.

Step 1: Designating the Target
First, tell the Spider where to go.
Telegram Group Link: This is the public link of the group you want to analyze. It's pretty flexible; it accepts formats like
https://t.me/binanceexchange
. Paste it in.
Step 2: Defining the Mission Parameters
Now, let's configure the operational details.
Number of messages to crawl: How deep do you want the intel to be? This sets how many recent messages the Spider will analyze, from 1 to 1000. It starts from the latest message and works its way back. More messages = a richer script, but a longer wait time.
Number of Autochat Account: This is a key strategic decision. This number tells the Spider how many "actors" (user1, user2, etc.) to use when writing the final script. If you plan to use 10 accounts in your Autochat mission, set this number to 10. This ensures the generated script is perfectly cast for your roster.
Crawl Images: When you enable "Crawl Images," the Telegram Spider will download and save media in the following formats:
Photos:
.jpg
Static Stickers:
.webp
Animated Stickers & GIFs:
.webm
Images:
.png
,.jpg
Please Note: Standard video files are not supported and will be skipped. All successfully downloaded media will land in a neat images folder, ready for action.
Skip Bots: (Our Strong Recommendation) We've equipped the Spider with a pretty savvy bot-detection filter. Checking this box tells it to ignore messages from known bots and common, repetitive announcements (like those endless welcome messages). This saves you a massive amount of time cleaning up the final script. Trust us, just check the box.
Step 3: LAUNCH and The Debriefing
Ready to deploy? Hit START CRAWLING
.

You can monitor the live feed from your agent in the Running Logs
on the right. It will show you which of your accounts is on the job, the target group's info, and real-time progress.

When the mission is complete (or when you hit STOP CRAWLING
), the Spider will return with a complete intelligence package, delivered to a folder named source/spider_output
inside your AICORA application directory:


An Excel Script File (.xlsx): The crown jewel. A fully formatted chat script, complete with userX and userX:image: commands, ready for immediate use.
Example An images Folder: If you opted for image crawling, this folder will contain all the visual assets, ready to be deployed alongside your script.

The workflow is seamless. You can take this generated Excel file, make your edits, and then directly load it into the DC Autochat or TG Autochat modules.
Last updated