GEO Dataset Telegram: 297k Channels & Groups by Cities (RU/UZ/IR) JUNE 2026
Seller: lyintseller
Price: 2.44 USD
Available. The final price depends on the selected options and is checked before payment.
Product description
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.
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:
* 🇷🇺 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)
* 🌍 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 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:
- name — Username
- link — Direct link (including private and invite links in joinchat and t.me/+abcd1234efg formats)
- title — Title
- type — Type (channel / group)
- category — Category in English (over 45 niches, assigned to every object)
- category_ru — Category in Russian (over 45 niches, assigned to every object)
- subs — Exact subscriber count
- language — Content language
- country — Country (only those that could be accurately determined)
- city — City (only those that could be accurately determined)
- ai_description — AI-generated brief description of the content essence
- tags — AI-generated thematic tags for narrow filtering
- description — Original channel bio
- unsafe — Safety flag (true/false) for instant filtering out of scams, shock content, erotica, and adult content
- parsed_at — Exact timestamp of parsing/update
EXPORT FORMATS
The data is delivered in a convenient zip archive and prepared for both regular users and developers.
- 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.
- For developers (JSONL format):
* JSON Lines (.jsonl): Line-by-line format for quick import into scripts, Elasticsearch, MongoDB, or PostgreSQL without RAM overload.
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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