Content: full_database_link.txt (463 B)
Uploaded: 18.06.2026

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Loyalty discount! If the total amount of your purchases from the seller more than:

$20 the discount is 5%
$50 the discount is 10%
$100 the discount is 15%
$137.53
For sale: A comprehensive, structured dataset of Telegram channels and groups from June 2026. This is a thoroughly cleaned, filtered, and AI-enriched database.
Every single channel and group in the dataset is classified and has a strictly assigned category.
The perfect solution for developers (for launching TGStat/Telemetr alternatives), Data Scientists, large arbitrage teams (CPA/Media Buying), and professional marketers.

* Total valid records (rows): 1,946,977
* Telegram Channels: 1,579,133
* Telegram Groups/Chats: 367,844

The dataset includes a unique data segment where a specific CITY (not just a country) is 100% accurately identified and specified for each resource. Locations are verified with maximum precision. Top among confirmed cities and countries:
* πŸ‡·πŸ‡Ί Russia (with a deep breakdown by Russian cities): 135,448 channels | 21,235 groups (each channel/group is linked to a specific city; the rest of the Russian segment without explicit city markers is in the general global list)
* 🌍 Iran (with a breakdown by cities): 39,519 channels | 3,253 groups
* 🌍 Uzbekistan (with a breakdown by cities): 13,018 channels | 8,082 groups
* ...as well as dozens of other countries, where a specific city is guaranteed to be specified for each of the 297,868 channels and chats.

You get a fully ready-to-use dataset. No need to spend budgets on neural network APIs for content analysis anymore. The export includes the following filled fields:
1. name β€” Username
2. link β€” Direct link (including private and invite links in joinchat and t.me/+abcd1234efg formats)
3. title β€” Title
4. type β€” Type (channel / group)
5. category β€” Category in English (over 45 niches, assigned to every object)
6. category_ru β€” Category in Russian (over 45 niches, assigned to every object)
7. subs β€” Exact subscriber count
8. language β€” Content language
9. country β€” Country (only those that could be accurately determined)
10. city β€” City (only those that could be accurately determined)
11. ai_description β€” AI-generated brief description of the content essence
12. tags β€” AI-generated thematic tags for granular filtering
13. description β€” Original channel/group bio
14. unsafe β€” Safety flag (true/false) for instant filtering out of scams, shock content, erotica, and adult content
15. parsed_at β€” Exact timestamp of parsing/update

The data comes in a convenient zip archive, prepared for both regular users and programmers.
1. For Marketers & Analysts (CSV and XLSX formats):
* CSV: The database is split into files (delimeter ;, UTF-8). Easy to open in Excel, with filters and search by keywords, tags, or subscribers.
* XLSX (Excel): Fully optimized for Excel, split into logical tabs with ready-made formatting and frozen headers for out-of-the-box use.
1. For Developers (SQLite and JSONL formats):
* SQLite (.db): Single file with 2M rows. SQL queries take under 1 second.
* JSON Lines (.jsonl): Line-by-line format for fast import into scripts, Elasticsearch, MongoDB, or PostgreSQL with zero RAM load.
β €
Link to the demo file (50-row sample):
https://vk.cc/cYS7Pi
β €
Link to full GEO and category statistics:
https://vk.cc/cYQpZn
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