GEO Dataset Telegram: 297k Channels & Groups by Cities (RU/UZ/IR) JUNE 2026
Content: geo_database_link.txt (463 B)
Uploaded: 19.06.2026
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For sale: A comprehensive, structured GEO-dataset of Telegram channels and groups for June 2026. This is a deeply cleaned, filtered, and AI-enriched local database with city-level geolocation. Absolutely every channel and group in the dataset is classified and has a strictly assigned category, country, and city. The ideal solution for developers of local services (for launching TGStat/Telemetr analogs), Data Scientists, large arbitrage teams (CPA/Media Buying), and professional marketers.
* Telegram Channels: 241,122
* Telegram Groups/Chats: 56,746
* π·πΊ Russia (with a deep breakdown by Russian cities): 135,448 channels | 21,235 groups (each channel/group is tied to a specific city; the rest of the Russian segment without explicit city markers is in the general global list)
* π Iran (with a breakdown by cities): 39,519 channels | 3,253 groups
* π 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 listed for each of the 297,868 channels and chats.
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 narrow filtering
13. description β Original channel 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
1. For marketers and analysts (CSV and XLSX formats):
* CSV: The database is split into files (semicolon delimiter, UTF-8 encoding). Easily opens in Excel, with filters and search by keys, tags, or subscribers available.
* XLSX (Excel): Files are optimized for Excel, divided into logical tabs, and contain ready-made formatting and frozen headers for out-of-the-box use.
2. For developers (JSONL format):
* JSON Lines (.jsonl): Line-by-line format for quick import into scripts, Elasticsearch, MongoDB, or PostgreSQL without RAM overload.
β
Link to the demo file (50-row sample):
https://vk.cc/cYS7Pi
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Link to full GEO statistics:
https://vk.cc/cYSVrE
The database has undergone full validation in June 2026 and is completely cleared of inactive and deleted links. Please note: due to the dynamic nature of the Telegram platform itself, a minimal portion of the resources may be blocked or deleted by administrators over time.
DATASET SCALE
* Total valid records (rows): 297,868* Telegram Channels: 241,122
* Telegram Groups/Chats: 56,746
BASE GEO-STATISTICS (297,868 rows with guaranteed CITY-LEVEL targeting)
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 confirmed cities and countries:* π·πΊ Russia (with a deep breakdown by Russian cities): 135,448 channels | 21,235 groups (each channel/group is tied to a specific city; the rest of the Russian segment without explicit city markers is in the general global list)
* π Iran (with a breakdown by cities): 39,519 channels | 3,253 groups
* π 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 listed for each of the 297,868 channels and chats.
EXCEPTIONAL VALUE AND AI ANNOTATION (15 STRUCTURED FIELDS)
You receive a fully ready-to-use dataset. No need to spend budgets on neural network APIs for content analysis anymore. The following fields are populated in the export: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 narrow filtering
13. description β Original channel 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
EXPORT FORMATS
The data is delivered in a convenient zip archive and prepared for both regular users and developers.1. For marketers and analysts (CSV and XLSX formats):
* CSV: The database is split into files (semicolon delimiter, UTF-8 encoding). Easily opens in Excel, with filters and search by keys, tags, or subscribers available.
* XLSX (Excel): Files are optimized for Excel, divided into logical tabs, and contain ready-made formatting and frozen headers for out-of-the-box use.
2. For developers (JSONL format):
* JSON Lines (.jsonl): Line-by-line format for quick import into scripts, Elasticsearch, MongoDB, or PostgreSQL without RAM overload.
β
Link to the demo file (50-row sample):
https://vk.cc/cYS7Pi
β
Link to full GEO statistics:
https://vk.cc/cYSVrE
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